TY  - CONF
AU  - Milašinović, Miloš
AU  - Todorović, Andrijana
AU  - Zindović, Budo
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3318
AB  - Hydrological and hydraulic models used for forecasting and providing reliable inputs are essential for effective water management. Throughout their application, models might produce results of unsatisfying accuracy due to many uncertainty sources. Considerable uncertainty stems from model parameters values, which are usually obtained through calibration, i.e., iterative adjustment of the parameter values to achieve the best possible fit between simulated and observed variables. Model calibration yields time-invariant parameter estimates, which can lead to poor-quality simulation outputs that cannot serve as decision support. Specifically, parameter values can be expected to vary due to secondary- or seasonal processes that are not explicitly accounted for in the model, or due to anthropogenic activity (e.g., land-use change). Therefore, models used for operational forecasting should be run with up-to-date parameter values. This necessitates frequent model recalibration, which can be quite impractical due to high time- and computational requirements of the calibration procedure. Therefore, developing fast(er) calibration algorithms could be a viable alternative. This paper explores the potential of control theory-based, tailor-made, data assimilation algorithm intended for continuous update of the parameters of hydrological and hydraulic models. The algorithm enables the parameter values to be regularly updated at each computational time step based on the dynamically assessed goodness-of-fit (GOF) performance indicator. This approach enables one-pass calibration procedure. Using this algorithm instead of traditional, iterative calibration procedure where models’ GOF is assessed at the end of the simulation, can improve efficiency and effectiveness of models’ calibration. The proposed one-pass calibration approach will be tested on two synthetic test cases, one example of a hydrological model and one example of a 1D hydraulic model.
C3  - SimHydro 2023: New modelling paradigms for water issues?, Chatou, 8-10. November 2023
T1  - Dynamic calibration in hydrologic and hydraulic modelling: exploring the potential of data assimilation for estimation of models' parameters
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3318
ER  - 

@conference{
author = "Milašinović, Miloš and Todorović, Andrijana and Zindović, Budo",
year = "2023",
abstract = "Hydrological and hydraulic models used for forecasting and providing reliable inputs are essential for effective water management. Throughout their application, models might produce results of unsatisfying accuracy due to many uncertainty sources. Considerable uncertainty stems from model parameters values, which are usually obtained through calibration, i.e., iterative adjustment of the parameter values to achieve the best possible fit between simulated and observed variables. Model calibration yields time-invariant parameter estimates, which can lead to poor-quality simulation outputs that cannot serve as decision support. Specifically, parameter values can be expected to vary due to secondary- or seasonal processes that are not explicitly accounted for in the model, or due to anthropogenic activity (e.g., land-use change). Therefore, models used for operational forecasting should be run with up-to-date parameter values. This necessitates frequent model recalibration, which can be quite impractical due to high time- and computational requirements of the calibration procedure. Therefore, developing fast(er) calibration algorithms could be a viable alternative. This paper explores the potential of control theory-based, tailor-made, data assimilation algorithm intended for continuous update of the parameters of hydrological and hydraulic models. The algorithm enables the parameter values to be regularly updated at each computational time step based on the dynamically assessed goodness-of-fit (GOF) performance indicator. This approach enables one-pass calibration procedure. Using this algorithm instead of traditional, iterative calibration procedure where models’ GOF is assessed at the end of the simulation, can improve efficiency and effectiveness of models’ calibration. The proposed one-pass calibration approach will be tested on two synthetic test cases, one example of a hydrological model and one example of a 1D hydraulic model.",
journal = "SimHydro 2023: New modelling paradigms for water issues?, Chatou, 8-10. November 2023",
title = "Dynamic calibration in hydrologic and hydraulic modelling: exploring the potential of data assimilation for estimation of models' parameters",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3318"
}

Milašinović, M., Todorović, A.,& Zindović, B.. (2023). Dynamic calibration in hydrologic and hydraulic modelling: exploring the potential of data assimilation for estimation of models' parameters. in SimHydro 2023: New modelling paradigms for water issues?, Chatou, 8-10. November 2023.
https://hdl.handle.net/21.15107/rcub_grafar_3318

Milašinović M, Todorović A, Zindović B. Dynamic calibration in hydrologic and hydraulic modelling: exploring the potential of data assimilation for estimation of models' parameters. in SimHydro 2023: New modelling paradigms for water issues?, Chatou, 8-10. November 2023. 2023;.
https://hdl.handle.net/21.15107/rcub_grafar_3318 .

Milašinović, Miloš, Todorović, Andrijana, Zindović, Budo, "Dynamic calibration in hydrologic and hydraulic modelling: exploring the potential of data assimilation for estimation of models' parameters" in SimHydro 2023: New modelling paradigms for water issues?, Chatou, 8-10. November 2023 (2023),
https://hdl.handle.net/21.15107/rcub_grafar_3318 .

TY  - CONF
AU  - Ivetić, Damjan
AU  - Ljubičić, Robert
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Pavlović, Dragutin
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3222
AB  - Jedan od preduslova za efikasno upravljanje i strateško planiranje razvoja kanalizacionih sistema je dobro poznavanje dinamike rada mreže. Ključnu ulogu imaju mereni podaci, prvenstveno o promenama protoka i nivoa, kako u sušnom tako i u kišnom period. Nažalost, kanalizacione mreže su u većini slučajeva slabo pokrivene adekvatnim mernim mestima. Tako prilikom planiranja kapitalnih investicija, npr. postrojenja za prečišćavanje otpadnih voda, nedostajući podaci se obezbeđuju kroz merne kampanje. Ključni izazovi pri sprovođenju mernih kampanja su povezani sa lokacijski i hidraulički nepovoljnim mernim lokacijama, koje negativno utiču na kvalitet izmerenih podataka. U ovom radu je prikazan primer kombinovanja inovativnih sa konvencionalnim metodama za merenja protoka u kanalizacionim sistemima sa ciljem dobijanja reprezentativnih podataka u složenim mernim uslovima.
AB  - One of the prerequisites for efficient management and development planning of the sewer systems is the adequate knowledge of network dynamics. Measured data play a key role, mainly the flow rate and level variations in dry and wet periods. Unfortunately, sewer networks are commonly scarcely covered with measurement systems. Thus, when capital investments are planned, e.g. wastewater treatment plants (WWTP), missing data is acquired through measurement campaigns. Challenges in the execution of the measurement campaigns are mostly correlated to hydraulically and organizationally unfavorable measurement locations, reflecting negatively on the quality of the measured data. In this paper, an example of the combination of the innovative and conventional flow measurement methods in sewer networks is shown, to allow for the acquisition of the representative data in complex measurement conditions.
PB  - Savez inženjera i tehničara Srbije
C3  - 44. međunarodna konferencija "Vodovod i kanalizacija '23", Zlatibor, 10-13. oktobar 2023.
T1  - Merenje protoka otpadnih voda u kanalizacionim mrežama: Kombinovanje inovativnih sa konvencionalnim mernim metodama
T1  - Wastewater flow measurements in sewer networks: Combining innovative and conventional measurement methods
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3222
ER  - 

@conference{
author = "Ivetić, Damjan and Ljubičić, Robert and Milašinović, Miloš and Prodanović, Dušan and Pavlović, Dragutin",
year = "2023",
abstract = "Jedan od preduslova za efikasno upravljanje i strateško planiranje razvoja kanalizacionih sistema je dobro poznavanje dinamike rada mreže. Ključnu ulogu imaju mereni podaci, prvenstveno o promenama protoka i nivoa, kako u sušnom tako i u kišnom period. Nažalost, kanalizacione mreže su u većini slučajeva slabo pokrivene adekvatnim mernim mestima. Tako prilikom planiranja kapitalnih investicija, npr. postrojenja za prečišćavanje otpadnih voda, nedostajući podaci se obezbeđuju kroz merne kampanje. Ključni izazovi pri sprovođenju mernih kampanja su povezani sa lokacijski i hidraulički nepovoljnim mernim lokacijama, koje negativno utiču na kvalitet izmerenih podataka. U ovom radu je prikazan primer kombinovanja inovativnih sa konvencionalnim metodama za merenja protoka u kanalizacionim sistemima sa ciljem dobijanja reprezentativnih podataka u složenim mernim uslovima., One of the prerequisites for efficient management and development planning of the sewer systems is the adequate knowledge of network dynamics. Measured data play a key role, mainly the flow rate and level variations in dry and wet periods. Unfortunately, sewer networks are commonly scarcely covered with measurement systems. Thus, when capital investments are planned, e.g. wastewater treatment plants (WWTP), missing data is acquired through measurement campaigns. Challenges in the execution of the measurement campaigns are mostly correlated to hydraulically and organizationally unfavorable measurement locations, reflecting negatively on the quality of the measured data. In this paper, an example of the combination of the innovative and conventional flow measurement methods in sewer networks is shown, to allow for the acquisition of the representative data in complex measurement conditions.",
publisher = "Savez inženjera i tehničara Srbije",
journal = "44. međunarodna konferencija "Vodovod i kanalizacija '23", Zlatibor, 10-13. oktobar 2023.",
title = "Merenje protoka otpadnih voda u kanalizacionim mrežama: Kombinovanje inovativnih sa konvencionalnim mernim metodama, Wastewater flow measurements in sewer networks: Combining innovative and conventional measurement methods",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3222"
}

Ivetić, D., Ljubičić, R., Milašinović, M., Prodanović, D.,& Pavlović, D.. (2023). Merenje protoka otpadnih voda u kanalizacionim mrežama: Kombinovanje inovativnih sa konvencionalnim mernim metodama. in 44. međunarodna konferencija "Vodovod i kanalizacija '23", Zlatibor, 10-13. oktobar 2023.
Savez inženjera i tehničara Srbije..
https://hdl.handle.net/21.15107/rcub_grafar_3222

Ivetić D, Ljubičić R, Milašinović M, Prodanović D, Pavlović D. Merenje protoka otpadnih voda u kanalizacionim mrežama: Kombinovanje inovativnih sa konvencionalnim mernim metodama. in 44. međunarodna konferencija "Vodovod i kanalizacija '23", Zlatibor, 10-13. oktobar 2023.. 2023;.
https://hdl.handle.net/21.15107/rcub_grafar_3222 .

Ivetić, Damjan, Ljubičić, Robert, Milašinović, Miloš, Prodanović, Dušan, Pavlović, Dragutin, "Merenje protoka otpadnih voda u kanalizacionim mrežama: Kombinovanje inovativnih sa konvencionalnim mernim metodama" in 44. međunarodna konferencija "Vodovod i kanalizacija '23", Zlatibor, 10-13. oktobar 2023. (2023),
https://hdl.handle.net/21.15107/rcub_grafar_3222 .

TY  - JOUR
AU  - Milašinović, Miloš
AU  - Ivetić, Damjan
AU  - Stojković, Milan
AU  - Savić, Dragan
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3034
AB  - Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable) infrastructure, can force Dam and Reservoir Systems (DRS) operation outside of the design envelope (adverse operating conditions). Since there is no easy way to redesign or upgrade the existing DRSs to mitigate against all the potential failure situations, Digital Twins (DT) of DRSs are required to assess system’s performance under various what-if scenarios. The current state of practice in failure modelling is that failures (system’s not performing at the expected level or not at all) are randomly created and implemented in simulation models. That approach helps in identifying the riskiest parts (subsystems) of the DRS (risk-based approach), but does not consider hazards leading to failures, their occurrence probabilities or subsystem failure exposure. To overcome these drawbacks, this paper presents a more realistic failure scenario generator based on a causal approach. Here, the novel failure simulation approach utilizes fuzzy logic reasoning to create DRS failures based on hazard severity and subsystems’ reliability. Combined with the system dynamics (SD) model this general failure simulation tool is designed to be used with any DRS. The potential of the proposed method is demonstrated using the Pirot DRS case study in Serbia over a 10-year simulation period. Results show that even occasional hazards (as for more than 97% of the simulation there were no hazards), combined with outdated infrastructure can reduce DRS performance by 50%, which can help in identifying possible “hidden” failure risks and support system maintenance prioritization.
PB  - Springer Link
T2  - Water Resources Management
T1  - Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic
DO  - 10.1007/s11269-022-03420-w
ER  - 

@article{
author = "Milašinović, Miloš and Ivetić, Damjan and Stojković, Milan and Savić, Dragan",
year = "2023",
abstract = "Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable) infrastructure, can force Dam and Reservoir Systems (DRS) operation outside of the design envelope (adverse operating conditions). Since there is no easy way to redesign or upgrade the existing DRSs to mitigate against all the potential failure situations, Digital Twins (DT) of DRSs are required to assess system’s performance under various what-if scenarios. The current state of practice in failure modelling is that failures (system’s not performing at the expected level or not at all) are randomly created and implemented in simulation models. That approach helps in identifying the riskiest parts (subsystems) of the DRS (risk-based approach), but does not consider hazards leading to failures, their occurrence probabilities or subsystem failure exposure. To overcome these drawbacks, this paper presents a more realistic failure scenario generator based on a causal approach. Here, the novel failure simulation approach utilizes fuzzy logic reasoning to create DRS failures based on hazard severity and subsystems’ reliability. Combined with the system dynamics (SD) model this general failure simulation tool is designed to be used with any DRS. The potential of the proposed method is demonstrated using the Pirot DRS case study in Serbia over a 10-year simulation period. Results show that even occasional hazards (as for more than 97% of the simulation there were no hazards), combined with outdated infrastructure can reduce DRS performance by 50%, which can help in identifying possible “hidden” failure risks and support system maintenance prioritization.",
publisher = "Springer Link",
journal = "Water Resources Management",
title = "Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic",
doi = "10.1007/s11269-022-03420-w"
}

Milašinović, M., Ivetić, D., Stojković, M.,& Savić, D.. (2023). Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic. in Water Resources Management
Springer Link..
https://doi.org/10.1007/s11269-022-03420-w

Milašinović M, Ivetić D, Stojković M, Savić D. Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic. in Water Resources Management. 2023;.
doi:10.1007/s11269-022-03420-w .

Milašinović, Miloš, Ivetić, Damjan, Stojković, Milan, Savić, Dragan, "Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic" in Water Resources Management (2023),
https://doi.org/10.1007/s11269-022-03420-w . .

TY  - CONF
AU  - Ivetić, Damjan
AU  - Ljubičić, Robert
AU  - Milašinović, Miloš
AU  - Pavlović, Dragutin
AU  - Prodanović, Dušan
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3112
AB  - Upravljanje kanalizacionim sistemima se zasniva na poznavanju rada mreže. Podaci o radu mreže uglavnom su skromnog obima. Usled ograničenih budžeta, komunalna preduzeća retko investiraju u formiranju stalnih mernih mesta. Prilikom planiranja kapitalnih investicija, npr. postrojenja za prečišćavanje otpadnih voda, nedostajući podaci se obezbeđuju kratkoročnim mernim kampanjama na privremenim mernim mestima. Problemi su povezani lokacijski i hidraulički nepovoljnim mernim mestima  Izvođači merenja kombinuju merne metode i tehnologije, ili primenjuju inovativna rešenja obezbeđujući zadovoljavajući kvalitet ipodataka. U radu su prikazana inovativna rešenja osmišljena na Institutu za hidrotehniku i vodno ekološko inženjerstvo Građevinskog fakulteta Univerziteta u Beogradu na kampanji merenja u kanalizacionim sistemima Inđije, Stare Pazove i Novih Banovaca.
PB  - Udruženje za tehnologijiu vode i sanitarno inženjerstvo
C3  - Konferencija "Vodovodni i kanalizacioni sistemi 2023"
T1  - Primena inovativnih rešenja za merenja protoka u kanalizacionim mrežama: Iskustva stečena u Inđiji, Staroj Pazovi i Novim Banovcima
EP  - 106
SP  - 95
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3112
ER  - 

@conference{
author = "Ivetić, Damjan and Ljubičić, Robert and Milašinović, Miloš and Pavlović, Dragutin and Prodanović, Dušan",
year = "2023",
abstract = "Upravljanje kanalizacionim sistemima se zasniva na poznavanju rada mreže. Podaci o radu mreže uglavnom su skromnog obima. Usled ograničenih budžeta, komunalna preduzeća retko investiraju u formiranju stalnih mernih mesta. Prilikom planiranja kapitalnih investicija, npr. postrojenja za prečišćavanje otpadnih voda, nedostajući podaci se obezbeđuju kratkoročnim mernim kampanjama na privremenim mernim mestima. Problemi su povezani lokacijski i hidraulički nepovoljnim mernim mestima  Izvođači merenja kombinuju merne metode i tehnologije, ili primenjuju inovativna rešenja obezbeđujući zadovoljavajući kvalitet ipodataka. U radu su prikazana inovativna rešenja osmišljena na Institutu za hidrotehniku i vodno ekološko inženjerstvo Građevinskog fakulteta Univerziteta u Beogradu na kampanji merenja u kanalizacionim sistemima Inđije, Stare Pazove i Novih Banovaca.",
publisher = "Udruženje za tehnologijiu vode i sanitarno inženjerstvo",
journal = "Konferencija "Vodovodni i kanalizacioni sistemi 2023"",
title = "Primena inovativnih rešenja za merenja protoka u kanalizacionim mrežama: Iskustva stečena u Inđiji, Staroj Pazovi i Novim Banovcima",
pages = "106-95",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3112"
}

Ivetić, D., Ljubičić, R., Milašinović, M., Pavlović, D.,& Prodanović, D.. (2023). Primena inovativnih rešenja za merenja protoka u kanalizacionim mrežama: Iskustva stečena u Inđiji, Staroj Pazovi i Novim Banovcima. in Konferencija "Vodovodni i kanalizacioni sistemi 2023"
Udruženje za tehnologijiu vode i sanitarno inženjerstvo., 95-106.
https://hdl.handle.net/21.15107/rcub_grafar_3112

Ivetić D, Ljubičić R, Milašinović M, Pavlović D, Prodanović D. Primena inovativnih rešenja za merenja protoka u kanalizacionim mrežama: Iskustva stečena u Inđiji, Staroj Pazovi i Novim Banovcima. in Konferencija "Vodovodni i kanalizacioni sistemi 2023". 2023;:95-106.
https://hdl.handle.net/21.15107/rcub_grafar_3112 .

Ivetić, Damjan, Ljubičić, Robert, Milašinović, Miloš, Pavlović, Dragutin, Prodanović, Dušan, "Primena inovativnih rešenja za merenja protoka u kanalizacionim mrežama: Iskustva stečena u Inđiji, Staroj Pazovi i Novim Banovcima" in Konferencija "Vodovodni i kanalizacioni sistemi 2023" (2023):95-106,
https://hdl.handle.net/21.15107/rcub_grafar_3112 .

TY  - CONF
AU  - Ljubičić, Robert
AU  - Ivetić, Damjan
AU  - Milašinović, Miloš
AU  - Pavlović, Dragutin
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3111
AB  - Tehnike merenja u hidrotehnici zasnovane na upotrebi kamera i naknadnoj obradi video zapisa u trendu su poslednje dve decenije. Odlikuju ih tehnička jednostavnost, niska cena i prilagodljivost hardvera i softvera. Međutim, primena za merenje protoka u kanalizacionim sistemima nije analizirana u literaturi. Tim Građevinskog fakulteta Univerziteta u Beogradu osmislio je, konstruisao i postavio merni uređaj, baterijski napajan mikroračunar sa IC kamerom u kanalizacioni šaht u naselju Novi Banovci radi kontinualnog merenja dotoka upotrebljene vode. Rad prikazuje specifičnosti upotrebe mernog uređaja i tehnike obrade video zapisa. Preliminarni rezultati pokazuju potencijal razvijene metodologije, posebno tamo gde konvencionalna oprema nije primenjiva.
PB  - Udruženje za tehnologijiu vode i sanitarno inženjerstvo
C3  - Konferencija "Vodovodni i kanalizacioni sistemi 2023"
T1  - Primena kamera i tehnika obrade video zapisa za procenu protoka u kanalizacionim sistemima - iskustva merne kampanje Novi Banovci
EP  - 129
SP  - 117
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3111
ER  - 

@conference{
author = "Ljubičić, Robert and Ivetić, Damjan and Milašinović, Miloš and Pavlović, Dragutin",
year = "2023",
abstract = "Tehnike merenja u hidrotehnici zasnovane na upotrebi kamera i naknadnoj obradi video zapisa u trendu su poslednje dve decenije. Odlikuju ih tehnička jednostavnost, niska cena i prilagodljivost hardvera i softvera. Međutim, primena za merenje protoka u kanalizacionim sistemima nije analizirana u literaturi. Tim Građevinskog fakulteta Univerziteta u Beogradu osmislio je, konstruisao i postavio merni uređaj, baterijski napajan mikroračunar sa IC kamerom u kanalizacioni šaht u naselju Novi Banovci radi kontinualnog merenja dotoka upotrebljene vode. Rad prikazuje specifičnosti upotrebe mernog uređaja i tehnike obrade video zapisa. Preliminarni rezultati pokazuju potencijal razvijene metodologije, posebno tamo gde konvencionalna oprema nije primenjiva.",
publisher = "Udruženje za tehnologijiu vode i sanitarno inženjerstvo",
journal = "Konferencija "Vodovodni i kanalizacioni sistemi 2023"",
title = "Primena kamera i tehnika obrade video zapisa za procenu protoka u kanalizacionim sistemima - iskustva merne kampanje Novi Banovci",
pages = "129-117",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3111"
}

Ljubičić, R., Ivetić, D., Milašinović, M.,& Pavlović, D.. (2023). Primena kamera i tehnika obrade video zapisa za procenu protoka u kanalizacionim sistemima - iskustva merne kampanje Novi Banovci. in Konferencija "Vodovodni i kanalizacioni sistemi 2023"
Udruženje za tehnologijiu vode i sanitarno inženjerstvo., 117-129.
https://hdl.handle.net/21.15107/rcub_grafar_3111

Ljubičić R, Ivetić D, Milašinović M, Pavlović D. Primena kamera i tehnika obrade video zapisa za procenu protoka u kanalizacionim sistemima - iskustva merne kampanje Novi Banovci. in Konferencija "Vodovodni i kanalizacioni sistemi 2023". 2023;:117-129.
https://hdl.handle.net/21.15107/rcub_grafar_3111 .

Ljubičić, Robert, Ivetić, Damjan, Milašinović, Miloš, Pavlović, Dragutin, "Primena kamera i tehnika obrade video zapisa za procenu protoka u kanalizacionim sistemima - iskustva merne kampanje Novi Banovci" in Konferencija "Vodovodni i kanalizacioni sistemi 2023" (2023):117-129,
https://hdl.handle.net/21.15107/rcub_grafar_3111 .

TY  - CONF
AU  - Milašinović, Miloš
AU  - Marjanović, Dušan
AU  - Prodanović, Dušan
AU  - Milivojević, Nikola
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3120
AB  - Multipurpose water systems are used to deal with multiple objectives related to the usage of water for daily human activities. These activities are often conflicted which creates a challenging water management task. To provide reliable water resources management decision support tools for successful forecasting of hydraulic data (river flows and water levels) are essential. This research presents an approach for forecasting river water levels influenced by hydropower plant operations using artificial neural networks. This approach estimates hourly water level fluctuations at the control location using the water levels and hydropower plant discharge data as input. This tool can be used for fast assessment of different hydropower plant operation plans and help in choosing the optimal one. This water level forecasting procedure is applied and tested on the Iron Gate water system, placed on the Danube River, to deal with multiple objectives in water system management (hydropower production, flood protection, and inland navigation) and shows promising results.
C3  - 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023
T1  - Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3120
ER  - 

@conference{
author = "Milašinović, Miloš and Marjanović, Dušan and Prodanović, Dušan and Milivojević, Nikola",
year = "2023",
abstract = "Multipurpose water systems are used to deal with multiple objectives related to the usage of water for daily human activities. These activities are often conflicted which creates a challenging water management task. To provide reliable water resources management decision support tools for successful forecasting of hydraulic data (river flows and water levels) are essential. This research presents an approach for forecasting river water levels influenced by hydropower plant operations using artificial neural networks. This approach estimates hourly water level fluctuations at the control location using the water levels and hydropower plant discharge data as input. This tool can be used for fast assessment of different hydropower plant operation plans and help in choosing the optimal one. This water level forecasting procedure is applied and tested on the Iron Gate water system, placed on the Danube River, to deal with multiple objectives in water system management (hydropower production, flood protection, and inland navigation) and shows promising results.",
journal = "2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023",
title = "Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3120"
}

Milašinović, M., Marjanović, D., Prodanović, D.,& Milivojević, N.. (2023). Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks. in 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023.
https://hdl.handle.net/21.15107/rcub_grafar_3120

Milašinović M, Marjanović D, Prodanović D, Milivojević N. Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks. in 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023. 2023;.
https://hdl.handle.net/21.15107/rcub_grafar_3120 .

Milašinović, Miloš, Marjanović, Dušan, Prodanović, Dušan, Milivojević, Nikola, "Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks" in 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023 (2023),
https://hdl.handle.net/21.15107/rcub_grafar_3120 .

TY  - CONF
AU  - Bojović, Filip
AU  - Milašinović, Miloš
AU  - Jovanović, Branka
AU  - Krstić, Lazar
AU  - Stojanović, Boban
AU  - Ivanović, Miloš
AU  - Prodanović, Dušan
AU  - Milivojević, Nikola
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2771
AB  - Machine learning methods have been widely and successfully applied in hydrological problems. Most of the methods, such as artificial neural networks, have been focused on estimating hydrological data based on observation over time. Even though these models provide good results, it can be observed that results become unreliable when the training dataset is small or when input data is significantly out of range compared to the training data. Therefore, a new approach is presented, in which artificial neural networks are trained to satisfy physical laws. This is conducted by a novel method called physics-informed neural networks (PINNs), in which physical principles are embedded in a custom loss function. This paper presents the application of physics informed neural networks for solving 1D flood wave propagation in open channels. The research has shown promising results.
C3  - 1st Serbian International Conference on Applied Artificial Intelligence (SICAAI)
T1  - Physics informed neural networks for 1D flood routing
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2771
ER  - 

@conference{
author = "Bojović, Filip and Milašinović, Miloš and Jovanović, Branka and Krstić, Lazar and Stojanović, Boban and Ivanović, Miloš and Prodanović, Dušan and Milivojević, Nikola",
year = "2022",
abstract = "Machine learning methods have been widely and successfully applied in hydrological problems. Most of the methods, such as artificial neural networks, have been focused on estimating hydrological data based on observation over time. Even though these models provide good results, it can be observed that results become unreliable when the training dataset is small or when input data is significantly out of range compared to the training data. Therefore, a new approach is presented, in which artificial neural networks are trained to satisfy physical laws. This is conducted by a novel method called physics-informed neural networks (PINNs), in which physical principles are embedded in a custom loss function. This paper presents the application of physics informed neural networks for solving 1D flood wave propagation in open channels. The research has shown promising results.",
journal = "1st Serbian International Conference on Applied Artificial Intelligence (SICAAI)",
title = "Physics informed neural networks for 1D flood routing",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2771"
}

Bojović, F., Milašinović, M., Jovanović, B., Krstić, L., Stojanović, B., Ivanović, M., Prodanović, D.,& Milivojević, N.. (2022). Physics informed neural networks for 1D flood routing. in 1st Serbian International Conference on Applied Artificial Intelligence (SICAAI).
https://hdl.handle.net/21.15107/rcub_grafar_2771

Bojović F, Milašinović M, Jovanović B, Krstić L, Stojanović B, Ivanović M, Prodanović D, Milivojević N. Physics informed neural networks for 1D flood routing. in 1st Serbian International Conference on Applied Artificial Intelligence (SICAAI). 2022;.
https://hdl.handle.net/21.15107/rcub_grafar_2771 .

Bojović, Filip, Milašinović, Miloš, Jovanović, Branka, Krstić, Lazar, Stojanović, Boban, Ivanović, Miloš, Prodanović, Dušan, Milivojević, Nikola, "Physics informed neural networks for 1D flood routing" in 1st Serbian International Conference on Applied Artificial Intelligence (SICAAI) (2022),
https://hdl.handle.net/21.15107/rcub_grafar_2771 .

TY  - GEN
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Zindović, Budo
AU  - Stojanović, Boban
AU  - Milivojević, Nikola
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2831
PB  - Univerzitet u Beogradu
T1  - CTDA: Control Theory based Data Assimilation – metoda za brzu asimilaciju podataka u modelima otvorenih tokova
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2831
ER  - 

@misc{
author = "Milašinović, Miloš and Prodanović, Dušan and Zindović, Budo and Stojanović, Boban and Milivojević, Nikola",
year = "2022",
publisher = "Univerzitet u Beogradu",
title = "CTDA: Control Theory based Data Assimilation – metoda za brzu asimilaciju podataka u modelima otvorenih tokova",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2831"
}

Milašinović, M., Prodanović, D., Zindović, B., Stojanović, B.,& Milivojević, N.. (2022). CTDA: Control Theory based Data Assimilation – metoda za brzu asimilaciju podataka u modelima otvorenih tokova. 
Univerzitet u Beogradu..
https://hdl.handle.net/21.15107/rcub_grafar_2831

Milašinović M, Prodanović D, Zindović B, Stojanović B, Milivojević N. CTDA: Control Theory based Data Assimilation – metoda za brzu asimilaciju podataka u modelima otvorenih tokova. 2022;.
https://hdl.handle.net/21.15107/rcub_grafar_2831 .

Milašinović, Miloš, Prodanović, Dušan, Zindović, Budo, Stojanović, Boban, Milivojević, Nikola, "CTDA: Control Theory based Data Assimilation – metoda za brzu asimilaciju podataka u modelima otvorenih tokova" (2022),
https://hdl.handle.net/21.15107/rcub_grafar_2831 .

TY  - JOUR
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Stanić, Miloš
AU  - Zindović, Budo
AU  - Stojanović, Boban
AU  - Milivojević, Nikola
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2693
AB  - Reliable water resources management requires decision support tools to successfully forecast hydraulic data (stage and flow hydrographs). Even though data-driven methods are nowadays trendy to apply, they still fail to provide reliable forecasts during extreme periods due to a lack of training data. Therefore, model-driven forecasting is still needed. However, the model-driven forecasting approach is affected by numerous uncertainties in initial and boundary conditions. To improve the real-time model's operation, it can be regularly updated using measured data in the data assimilation (DA) procedure. Widely used DA techniques are computationally expensive, which reduce their real-time applications. Previous research shows that tailor-made, time-efficient DA methods based on the control theory could be used instead. This paper presents further insights into the control theory-based DA for 1D hydraulic models. This method uses Proportional–Integrative–Derivative (PID) controllers to assimilate computed water levels and observed data. This paper describes the two-stage PID controllers’ tuning procedure. Multi-objective optimization by Nondominated Sorting Genetic Algorithm II (NSGA-II) was used to determine optimal parameters for PID controllers. The proposed tuning procedure is tested on a hydraulic model used as a decision support tool for the transboundary Iron Gate 1 hydropower system on the Danube River, showing that the average discrepancy between modeled and observed water levels can be less than 0.05 m for more than 97% of assimilation window.
PB  - IWA Publishing
T2  - Journal of Hydroinformatics
T1  - Control theory-based data assimilation for open channel hydraulic models: tuning PID controllers using multi-objective optimization
IS  - 4
VL  - 24
DO  - 10.2166/hydro.2022.034
ER  - 

@article{
author = "Milašinović, Miloš and Prodanović, Dušan and Stanić, Miloš and Zindović, Budo and Stojanović, Boban and Milivojević, Nikola",
year = "2022",
abstract = "Reliable water resources management requires decision support tools to successfully forecast hydraulic data (stage and flow hydrographs). Even though data-driven methods are nowadays trendy to apply, they still fail to provide reliable forecasts during extreme periods due to a lack of training data. Therefore, model-driven forecasting is still needed. However, the model-driven forecasting approach is affected by numerous uncertainties in initial and boundary conditions. To improve the real-time model's operation, it can be regularly updated using measured data in the data assimilation (DA) procedure. Widely used DA techniques are computationally expensive, which reduce their real-time applications. Previous research shows that tailor-made, time-efficient DA methods based on the control theory could be used instead. This paper presents further insights into the control theory-based DA for 1D hydraulic models. This method uses Proportional–Integrative–Derivative (PID) controllers to assimilate computed water levels and observed data. This paper describes the two-stage PID controllers’ tuning procedure. Multi-objective optimization by Nondominated Sorting Genetic Algorithm II (NSGA-II) was used to determine optimal parameters for PID controllers. The proposed tuning procedure is tested on a hydraulic model used as a decision support tool for the transboundary Iron Gate 1 hydropower system on the Danube River, showing that the average discrepancy between modeled and observed water levels can be less than 0.05 m for more than 97% of assimilation window.",
publisher = "IWA Publishing",
journal = "Journal of Hydroinformatics",
title = "Control theory-based data assimilation for open channel hydraulic models: tuning PID controllers using multi-objective optimization",
number = "4",
volume = "24",
doi = "10.2166/hydro.2022.034"
}

Milašinović, M., Prodanović, D., Stanić, M., Zindović, B., Stojanović, B.,& Milivojević, N.. (2022). Control theory-based data assimilation for open channel hydraulic models: tuning PID controllers using multi-objective optimization. in Journal of Hydroinformatics
IWA Publishing., 24(4).
https://doi.org/10.2166/hydro.2022.034

Milašinović M, Prodanović D, Stanić M, Zindović B, Stojanović B, Milivojević N. Control theory-based data assimilation for open channel hydraulic models: tuning PID controllers using multi-objective optimization. in Journal of Hydroinformatics. 2022;24(4).
doi:10.2166/hydro.2022.034 .

Milašinović, Miloš, Prodanović, Dušan, Stanić, Miloš, Zindović, Budo, Stojanović, Boban, Milivojević, Nikola, "Control theory-based data assimilation for open channel hydraulic models: tuning PID controllers using multi-objective optimization" in Journal of Hydroinformatics, 24, no. 4 (2022),
https://doi.org/10.2166/hydro.2022.034 . .

TY  - JOUR
AU  - Ivetić, Damjan
AU  - Milašinović, Miloš
AU  - Stojković, Milan
AU  - Šotić, Aleksandar
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2835
AB  - Akumulacije kao složeni vodoprivredni sistemi predstavljaju ključne infrastrukturne elemente, neophodne za pouzdano upravljanje vodnim resursima. Poslednjih godina, ovi sistemi su izloženi sve nepovoljnijim prirodnim i antropogenim uticajima (dotrajala i zasterala infrastruktura, prirodne nepogode, globalne krize, ektremni hidrološki događaji itd.). Na ovaj način, dodatan pritisak se nameće odgovornim operaterima, koji moraju da upravljaju akumulacijama u nepovoljnim operativnim uslovima, koji se nalaze izvan projektnih okvira. Jedan od mogućih pristupa za 
podršku donosiocima odluka je upotrebna simulacionih alata za modeliranje različitih „Šta ako?“ scenarija. Posebno se izdvaja upotreba modela dinamike sistema, koji su pokazali kapacitet da adekvatno predstave kompleksnost ovakvih sistema. U ovom radu je predstavljen okvir, ili okvirna metodologija, od 11 koraka, za dinamičko modeliranje rada akumulacija u nepovoljnim operativnim uslovima. Okvir obuhvata celine kao što su: formiranje modela sistema, generisanje ulaznih scenarija, simuliranje rada sistema i evaluacija performansi. Fokus je na koracima koji pokrivaju konceptualnu dekompoziciju akumulacija kao složenih sistema, identifikaciju indikatora otkaza, 
definisanje i implementaciju funkcija otkaza u modele dinamike podsistema i dinamičko modeliranje otkaza. Kroz ove korake, predstavljen je nov pristup za dinamičko modeliranje otkaza (parcijalnih ili potpunih) akumulacije kao celine i/ili odgovarajućih podsistema, 
koji se neretko javljaju u nepovoljnim operativnim uslovima. Za svaki podsistem koji je sklon otkazu, definiše se indikator otkaza. Funkcije otkaza, koje koriste generičke indikatore funkcionalnosti čija vrednost može biti u opsegu od 0 do 1, modifikuju vrednost indikatora otkaza tokom simulacija, modelirajući uticaj otkaza komponenata/podsistema na rad akumulacije. Primer akumulacije Zavoj, odnosno HE Pirot, je iskorišćen da bi se ilustrovale mogućnosti predložene metodologije. Razmatrani su hipotetički slučajevi fizičkih oštećenja na različitim objektima 
brane, porast merne nesigurnosti, nedostatak rezervnih delova za popravku u periodima svetskih kriznih događaja. Rezultati primene su omogućili izvođenje preliminarnih zaključaka o svrsishodnosti analiza rada akumulacija u nepovoljnim operativnim uslovima.
PB  - Srpsko društvo za odvodnjavanje i navodnjavanje
T2  - Vodoprivreda
T1  - Okvir za dinamičko modeliranje rada akumulacija u nepovoljnim operativnim uslovima
T1  - Framework for the dynamic modelling of the reservoir operation in adverse operating conditions
VL  - 54
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2835
ER  - 

@article{
author = "Ivetić, Damjan and Milašinović, Miloš and Stojković, Milan and Šotić, Aleksandar",
year = "2022",
abstract = "Akumulacije kao složeni vodoprivredni sistemi predstavljaju ključne infrastrukturne elemente, neophodne za pouzdano upravljanje vodnim resursima. Poslednjih godina, ovi sistemi su izloženi sve nepovoljnijim prirodnim i antropogenim uticajima (dotrajala i zasterala infrastruktura, prirodne nepogode, globalne krize, ektremni hidrološki događaji itd.). Na ovaj način, dodatan pritisak se nameće odgovornim operaterima, koji moraju da upravljaju akumulacijama u nepovoljnim operativnim uslovima, koji se nalaze izvan projektnih okvira. Jedan od mogućih pristupa za 
podršku donosiocima odluka je upotrebna simulacionih alata za modeliranje različitih „Šta ako?“ scenarija. Posebno se izdvaja upotreba modela dinamike sistema, koji su pokazali kapacitet da adekvatno predstave kompleksnost ovakvih sistema. U ovom radu je predstavljen okvir, ili okvirna metodologija, od 11 koraka, za dinamičko modeliranje rada akumulacija u nepovoljnim operativnim uslovima. Okvir obuhvata celine kao što su: formiranje modela sistema, generisanje ulaznih scenarija, simuliranje rada sistema i evaluacija performansi. Fokus je na koracima koji pokrivaju konceptualnu dekompoziciju akumulacija kao složenih sistema, identifikaciju indikatora otkaza, 
definisanje i implementaciju funkcija otkaza u modele dinamike podsistema i dinamičko modeliranje otkaza. Kroz ove korake, predstavljen je nov pristup za dinamičko modeliranje otkaza (parcijalnih ili potpunih) akumulacije kao celine i/ili odgovarajućih podsistema, 
koji se neretko javljaju u nepovoljnim operativnim uslovima. Za svaki podsistem koji je sklon otkazu, definiše se indikator otkaza. Funkcije otkaza, koje koriste generičke indikatore funkcionalnosti čija vrednost može biti u opsegu od 0 do 1, modifikuju vrednost indikatora otkaza tokom simulacija, modelirajući uticaj otkaza komponenata/podsistema na rad akumulacije. Primer akumulacije Zavoj, odnosno HE Pirot, je iskorišćen da bi se ilustrovale mogućnosti predložene metodologije. Razmatrani su hipotetički slučajevi fizičkih oštećenja na različitim objektima 
brane, porast merne nesigurnosti, nedostatak rezervnih delova za popravku u periodima svetskih kriznih događaja. Rezultati primene su omogućili izvođenje preliminarnih zaključaka o svrsishodnosti analiza rada akumulacija u nepovoljnim operativnim uslovima.",
publisher = "Srpsko društvo za odvodnjavanje i navodnjavanje",
journal = "Vodoprivreda",
title = "Okvir za dinamičko modeliranje rada akumulacija u nepovoljnim operativnim uslovima, Framework for the dynamic modelling of the reservoir operation in adverse operating conditions",
volume = "54",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2835"
}

Ivetić, D., Milašinović, M., Stojković, M.,& Šotić, A.. (2022). Okvir za dinamičko modeliranje rada akumulacija u nepovoljnim operativnim uslovima. in Vodoprivreda
Srpsko društvo za odvodnjavanje i navodnjavanje., 54.
https://hdl.handle.net/21.15107/rcub_grafar_2835

Ivetić D, Milašinović M, Stojković M, Šotić A. Okvir za dinamičko modeliranje rada akumulacija u nepovoljnim operativnim uslovima. in Vodoprivreda. 2022;54.
https://hdl.handle.net/21.15107/rcub_grafar_2835 .

Ivetić, Damjan, Milašinović, Miloš, Stojković, Milan, Šotić, Aleksandar, "Okvir za dinamičko modeliranje rada akumulacija u nepovoljnim operativnim uslovima" in Vodoprivreda, 54 (2022),
https://hdl.handle.net/21.15107/rcub_grafar_2835 .

TY  - CONF
AU  - Ćirović, Vukašin
AU  - Bogdanović, Dragana
AU  - Bartoš-Divac, Vladislava
AU  - Stefanović, Dušan
AU  - Milašinović, Miloš
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2770
AB  - Today, hydropower systems operate in highly competitive environment. Thus, it is important for them to get
maximum benefits out of existing assets, resources and constraints as well. In order to make the best possible operational
decision in complex hydropower system, it is necessary to consider as many scenarios as possible. Decision makers would
benefit from a system that allows them to analyze a large set of possible scenarios and choose the most suitable one under
current circumstances. In this paper, a decision support system for hydropower system operation applied to the Iron Gate
hydropower plant is presented. This is modern, model-based system which connects data management, physics-based
numeric model as well as optimization algorithms applied to developed model. The implementation of the entire system was
carried out through the development of software solutions dedicated to Iron Gate power plant needs. Scenarios of everyday
use are presented as well.
C3  - Contemporary Water Management: Challenges and Research Directions
T1  - Decision support system for Iron Gate hydropower system operations
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2770
ER  - 

@conference{
author = "Ćirović, Vukašin and Bogdanović, Dragana and Bartoš-Divac, Vladislava and Stefanović, Dušan and Milašinović, Miloš",
year = "2022",
abstract = "Today, hydropower systems operate in highly competitive environment. Thus, it is important for them to get
maximum benefits out of existing assets, resources and constraints as well. In order to make the best possible operational
decision in complex hydropower system, it is necessary to consider as many scenarios as possible. Decision makers would
benefit from a system that allows them to analyze a large set of possible scenarios and choose the most suitable one under
current circumstances. In this paper, a decision support system for hydropower system operation applied to the Iron Gate
hydropower plant is presented. This is modern, model-based system which connects data management, physics-based
numeric model as well as optimization algorithms applied to developed model. The implementation of the entire system was
carried out through the development of software solutions dedicated to Iron Gate power plant needs. Scenarios of everyday
use are presented as well.",
journal = "Contemporary Water Management: Challenges and Research Directions",
title = "Decision support system for Iron Gate hydropower system operations",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2770"
}

Ćirović, V., Bogdanović, D., Bartoš-Divac, V., Stefanović, D.,& Milašinović, M.. (2022). Decision support system for Iron Gate hydropower system operations. in Contemporary Water Management: Challenges and Research Directions.
https://hdl.handle.net/21.15107/rcub_grafar_2770

Ćirović V, Bogdanović D, Bartoš-Divac V, Stefanović D, Milašinović M. Decision support system for Iron Gate hydropower system operations. in Contemporary Water Management: Challenges and Research Directions. 2022;.
https://hdl.handle.net/21.15107/rcub_grafar_2770 .

Ćirović, Vukašin, Bogdanović, Dragana, Bartoš-Divac, Vladislava, Stefanović, Dušan, Milašinović, Miloš, "Decision support system for Iron Gate hydropower system operations" in Contemporary Water Management: Challenges and Research Directions (2022),
https://hdl.handle.net/21.15107/rcub_grafar_2770 .

TY  - JOUR
AU  - Ivetić, Damjan
AU  - Milašinović, Miloš
AU  - Stojković, Milan
AU  - Šotić, Aleksandar
AU  - Charbonnier, Nicolas
AU  - Milivojević, Nikola
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2673
AB  - Dam and reservoir systems (DRSs) are crucial aspects of the infrastructure necessary for reliable water resource management. Nowadays, DRSs are being increasingly affected by numerous natural and anthropogenic impacts (aging and outdated infrastructure, climate change, natural hazards, global crises, etc.). Hence, additional pressure on DRS management is being applied as DRSs must be operated in adverse operating conditions, outside of their design envelopes. Since there is no practical way to redesign DRSs to meet all possible adverse conditions, efficient simulation tools are necessary for various “what-if” analyses. A system dynamics (SD) approach can be used, as it has shown the capacity to comprehend the intrinsic system complexity. In this paper, an 11-step framework for the dynamic modelling of reduced functionality in a DRS and the emulation of the system operation in adverse conditions is proposed. The framework covers the system model design, input scenario generation, system simulation, and performance evaluation steps. A focus is placed on the steps related to system decomposition, the identification of failure-indicative parameters, the definition and implementation of failure functions in the subsystem dynamic models, and dynamic failure modelling. Through these steps, a novel procedure is proposed for the dynamic modelling of the DRS subsystems’ failures (reduced functionality), common in the operation of DRSs under adverse conditions. For each subsystem prone to failure, failure-indicative parameters are identified. Failure functions employing generic functionality indicators, with values spanning from 0 to 1, are suggested to modify the values of the failure-indicative parameters in simulations and emulate the component failure impacts on DRS operation. Possibilities for modelling failure modes for different subsystems, varying in nature, duration, and magnitude are discussed. Potential physical damage to the system components, increases in measurement uncertainty, and the lack of the spare parts during periods of global crisis are applied as disturbances to the Pirot DRS case study to illustrate the possibilities of the suggested framework’s application for DRS failure modelling. It was concluded that the proposed framework allowed for the detection of severe impacts on system performance, emphasizing the need for DRS dynamic failure modelling in system analysis.
PB  - MDPI
T2  - Water MDPI
T1  - Framework for Dynamic Modelling of the Dam and Reservoir System Reduced Functionality in Adverse Operating Conditions
VL  - 14(10)
DO  - 10.3390/w14101549
ER  - 

@article{
author = "Ivetić, Damjan and Milašinović, Miloš and Stojković, Milan and Šotić, Aleksandar and Charbonnier, Nicolas and Milivojević, Nikola",
year = "2022",
abstract = "Dam and reservoir systems (DRSs) are crucial aspects of the infrastructure necessary for reliable water resource management. Nowadays, DRSs are being increasingly affected by numerous natural and anthropogenic impacts (aging and outdated infrastructure, climate change, natural hazards, global crises, etc.). Hence, additional pressure on DRS management is being applied as DRSs must be operated in adverse operating conditions, outside of their design envelopes. Since there is no practical way to redesign DRSs to meet all possible adverse conditions, efficient simulation tools are necessary for various “what-if” analyses. A system dynamics (SD) approach can be used, as it has shown the capacity to comprehend the intrinsic system complexity. In this paper, an 11-step framework for the dynamic modelling of reduced functionality in a DRS and the emulation of the system operation in adverse conditions is proposed. The framework covers the system model design, input scenario generation, system simulation, and performance evaluation steps. A focus is placed on the steps related to system decomposition, the identification of failure-indicative parameters, the definition and implementation of failure functions in the subsystem dynamic models, and dynamic failure modelling. Through these steps, a novel procedure is proposed for the dynamic modelling of the DRS subsystems’ failures (reduced functionality), common in the operation of DRSs under adverse conditions. For each subsystem prone to failure, failure-indicative parameters are identified. Failure functions employing generic functionality indicators, with values spanning from 0 to 1, are suggested to modify the values of the failure-indicative parameters in simulations and emulate the component failure impacts on DRS operation. Possibilities for modelling failure modes for different subsystems, varying in nature, duration, and magnitude are discussed. Potential physical damage to the system components, increases in measurement uncertainty, and the lack of the spare parts during periods of global crisis are applied as disturbances to the Pirot DRS case study to illustrate the possibilities of the suggested framework’s application for DRS failure modelling. It was concluded that the proposed framework allowed for the detection of severe impacts on system performance, emphasizing the need for DRS dynamic failure modelling in system analysis.",
publisher = "MDPI",
journal = "Water MDPI",
title = "Framework for Dynamic Modelling of the Dam and Reservoir System Reduced Functionality in Adverse Operating Conditions",
volume = "14(10)",
doi = "10.3390/w14101549"
}

Ivetić, D., Milašinović, M., Stojković, M., Šotić, A., Charbonnier, N.,& Milivojević, N.. (2022). Framework for Dynamic Modelling of the Dam and Reservoir System Reduced Functionality in Adverse Operating Conditions. in Water MDPI
MDPI., 14(10).
https://doi.org/10.3390/w14101549

Ivetić D, Milašinović M, Stojković M, Šotić A, Charbonnier N, Milivojević N. Framework for Dynamic Modelling of the Dam and Reservoir System Reduced Functionality in Adverse Operating Conditions. in Water MDPI. 2022;14(10).
doi:10.3390/w14101549 .

Ivetić, Damjan, Milašinović, Miloš, Stojković, Milan, Šotić, Aleksandar, Charbonnier, Nicolas, Milivojević, Nikola, "Framework for Dynamic Modelling of the Dam and Reservoir System Reduced Functionality in Adverse Operating Conditions" in Water MDPI, 14(10) (2022),
https://doi.org/10.3390/w14101549 . .

TY  - JOUR
AU  - Ignjatović, Lazar
AU  - Stojković, Milan
AU  - Ivetić, Damjan
AU  - Milašinović, Miloš
AU  - Milivojević, Nikola
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2454
AB  - The objective of this research is to introduce a novel framework to quantify the risk of
the reservoir system outside the design envelope, taking into account the risks related to floodprotection and hydro-energy generation under unfavourable reservoir element conditions (system
element failures) and hazardous situations within the environment (flood event). To analyze water
system behavior in adverse conditions, a system analysis approach is used, which is founded
upon the system dynamics model with a causal loop. The capability of the system in performing
the intended functionality can be quantified using the traditional static measures like reliability,
resilience and vulnerability, or dynamic resilience. In this paper, a novel method for the assessment
of a multi-parameter dynamic resilience is introduced. The multi-parameter dynamic resilience
envelops the hydropower and flood-protection resilience, as two opposing demands in the reservoir
operation regime. A case study of a Pirot reservoir, in the Republic of Serbia, is used. To estimate
the multi -parameter dynamic resilience of the Pirot reservoir system, a hydrological model, and a
system dynamic simulation model with an inner control loop, is developed. The inner control loop
provides the relation between the hydropower generation and flood-protection. The hydrological
model is calibrated and generated climate inputs are used to simulate the long-term flow sequences.
The most severe flood event period is extracted to be used as the input for the system dynamics
simulations. The system performance for five different scenarios with various multi failure events
(e.g., generator failure, segment gate failure on the spillway, leakage from reservoir and water supply
tunnel failure due to earthquake) are presented using the novel concept of the explicit modeling of the
component failures through element functionality indicators. Based on the outputs from the system
dynamics model, system performance is determined and, later, hydropower and flood protection
resilience. Then, multi-parameter dynamic resilience of the Pirot reservoir system is estimated and
compared with the traditional static measures (reliability). Discrepancy between the drop between
multi-parameter resilience (from 0.851 to 0.935) and reliability (from 0.993 to 1) shows that static
measure underestimates the risk to the water system. Thus, the results from this research show that
multi-parameter dynamic resilience, as an indicator, can provide additional insight compared to the
traditional static measures, leading to identification of the vulnerable elements of a complex reservoir system. Additionally, it is shown that the proposed explicit modeling of system components failure
can be used to reflect the drop of the overall system functionality
PB  - MDPI
T2  - Water
T1  - Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System
IS  - 22
VL  - 13
DO  - 10.3390/w13223157
ER  - 

@article{
author = "Ignjatović, Lazar and Stojković, Milan and Ivetić, Damjan and Milašinović, Miloš and Milivojević, Nikola",
year = "2021",
abstract = "The objective of this research is to introduce a novel framework to quantify the risk of
the reservoir system outside the design envelope, taking into account the risks related to floodprotection and hydro-energy generation under unfavourable reservoir element conditions (system
element failures) and hazardous situations within the environment (flood event). To analyze water
system behavior in adverse conditions, a system analysis approach is used, which is founded
upon the system dynamics model with a causal loop. The capability of the system in performing
the intended functionality can be quantified using the traditional static measures like reliability,
resilience and vulnerability, or dynamic resilience. In this paper, a novel method for the assessment
of a multi-parameter dynamic resilience is introduced. The multi-parameter dynamic resilience
envelops the hydropower and flood-protection resilience, as two opposing demands in the reservoir
operation regime. A case study of a Pirot reservoir, in the Republic of Serbia, is used. To estimate
the multi -parameter dynamic resilience of the Pirot reservoir system, a hydrological model, and a
system dynamic simulation model with an inner control loop, is developed. The inner control loop
provides the relation between the hydropower generation and flood-protection. The hydrological
model is calibrated and generated climate inputs are used to simulate the long-term flow sequences.
The most severe flood event period is extracted to be used as the input for the system dynamics
simulations. The system performance for five different scenarios with various multi failure events
(e.g., generator failure, segment gate failure on the spillway, leakage from reservoir and water supply
tunnel failure due to earthquake) are presented using the novel concept of the explicit modeling of the
component failures through element functionality indicators. Based on the outputs from the system
dynamics model, system performance is determined and, later, hydropower and flood protection
resilience. Then, multi-parameter dynamic resilience of the Pirot reservoir system is estimated and
compared with the traditional static measures (reliability). Discrepancy between the drop between
multi-parameter resilience (from 0.851 to 0.935) and reliability (from 0.993 to 1) shows that static
measure underestimates the risk to the water system. Thus, the results from this research show that
multi-parameter dynamic resilience, as an indicator, can provide additional insight compared to the
traditional static measures, leading to identification of the vulnerable elements of a complex reservoir system. Additionally, it is shown that the proposed explicit modeling of system components failure
can be used to reflect the drop of the overall system functionality",
publisher = "MDPI",
journal = "Water",
title = "Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System",
number = "22",
volume = "13",
doi = "10.3390/w13223157"
}

Ignjatović, L., Stojković, M., Ivetić, D., Milašinović, M.,& Milivojević, N.. (2021). Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System. in Water
MDPI., 13(22).
https://doi.org/10.3390/w13223157

Ignjatović L, Stojković M, Ivetić D, Milašinović M, Milivojević N. Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System. in Water. 2021;13(22).
doi:10.3390/w13223157 .

Ignjatović, Lazar, Stojković, Milan, Ivetić, Damjan, Milašinović, Miloš, Milivojević, Nikola, "Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System" in Water, 13, no. 22 (2021),
https://doi.org/10.3390/w13223157 . .

TY  - CONF
AU  - Stojadinović, Luka
AU  - Ivetić, Damjan
AU  - Milašinović, Miloš
AU  - Ignjatović, Lazar
AU  - Stojković, Milan
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2459
AB  - Održivo upravljanje složenim vodoprivrednim sistemima, u neizvesnim i promenljivim klimatskim uslovima, kao i pod rastućim socio-ekonomskim zahtevima i ograničenjima, predstavlja kompleksan izazov. Samo u poslednjih par decenija, zabeležene su katastrofalne prirodne nepogode (poplave, suše, zemlotresi itd) koje su po intezitetu prevazilazile dosad zabeležene vrednosti. Vodoprivredni sistemi, kao što su višenamenske akumulacije, predstavljaju jedan primer vitalnih sistema čije je pouzdano funkcionisanje dodatno ugroženo u svetlu novih okolnosti. Kvantifikovanje „spremnosti“ sistema na navedene događaje, se uobičajeno sprovodi kroz analizu rizika primenom tradicionalnih statičkih veličina. Kako statičke mere imaju izvesna ograničenja, u poslednje vreme, sve više se koristi koncept dinamičke rezilijentnosti (izdržljivosti). Kako bi se obezbedila minimizacija štetnog uticaja navedenih događaja na funkcionalnost vodoprivrednih sistema, neophodno je povećati tzv. „rezilijentnost“ sistema, odnosno sposobnost sistema da izdrži i prihvati neki poremećaj i povrati pređašnju funkcionalnost. Kako bi se ispitala „spremnost“ sistema na razne nepovoljne scenarije, koji podrazumevaju smanjenje funkcionalnosti različitih komponenata sistema, neophodno je koristiti adekvatan simulacioni model vodoprivrednog sistema i model otkaza. Na osnovu ovih modela moguće je proceniti ponašanje sistema nakon širokog spektra mogućih nepovoljnih događaja. Takođe, moguće je detektovati komponente koje bi uz pravovremeno ulaganje i poboljšanje stanja ublažile pad funkcionalnosti sistema pri različitim poremećajima i povećale rezilijentnost celog sistema. U ovom istraživanju predstavljen je pristup za modeliranje otkaza i implementaciju istih u vodoprivredni model. Kao primer korišćen je vodoprivredni sistem Pirot.
C3  - 19. Savetovanje SDHI i SDH, Beograd, Srbija
T1  - Dinamička rezilijentnost kao mera za upravljanje rizikom kod složenih vodoprivrednih sistema: Implementacija modela otkaza u vodoprivredni model
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2459
ER  - 

@conference{
author = "Stojadinović, Luka and Ivetić, Damjan and Milašinović, Miloš and Ignjatović, Lazar and Stojković, Milan",
year = "2021",
abstract = "Održivo upravljanje složenim vodoprivrednim sistemima, u neizvesnim i promenljivim klimatskim uslovima, kao i pod rastućim socio-ekonomskim zahtevima i ograničenjima, predstavlja kompleksan izazov. Samo u poslednjih par decenija, zabeležene su katastrofalne prirodne nepogode (poplave, suše, zemlotresi itd) koje su po intezitetu prevazilazile dosad zabeležene vrednosti. Vodoprivredni sistemi, kao što su višenamenske akumulacije, predstavljaju jedan primer vitalnih sistema čije je pouzdano funkcionisanje dodatno ugroženo u svetlu novih okolnosti. Kvantifikovanje „spremnosti“ sistema na navedene događaje, se uobičajeno sprovodi kroz analizu rizika primenom tradicionalnih statičkih veličina. Kako statičke mere imaju izvesna ograničenja, u poslednje vreme, sve više se koristi koncept dinamičke rezilijentnosti (izdržljivosti). Kako bi se obezbedila minimizacija štetnog uticaja navedenih događaja na funkcionalnost vodoprivrednih sistema, neophodno je povećati tzv. „rezilijentnost“ sistema, odnosno sposobnost sistema da izdrži i prihvati neki poremećaj i povrati pređašnju funkcionalnost. Kako bi se ispitala „spremnost“ sistema na razne nepovoljne scenarije, koji podrazumevaju smanjenje funkcionalnosti različitih komponenata sistema, neophodno je koristiti adekvatan simulacioni model vodoprivrednog sistema i model otkaza. Na osnovu ovih modela moguće je proceniti ponašanje sistema nakon širokog spektra mogućih nepovoljnih događaja. Takođe, moguće je detektovati komponente koje bi uz pravovremeno ulaganje i poboljšanje stanja ublažile pad funkcionalnosti sistema pri različitim poremećajima i povećale rezilijentnost celog sistema. U ovom istraživanju predstavljen je pristup za modeliranje otkaza i implementaciju istih u vodoprivredni model. Kao primer korišćen je vodoprivredni sistem Pirot.",
journal = "19. Savetovanje SDHI i SDH, Beograd, Srbija",
title = "Dinamička rezilijentnost kao mera za upravljanje rizikom kod složenih vodoprivrednih sistema: Implementacija modela otkaza u vodoprivredni model",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2459"
}

Stojadinović, L., Ivetić, D., Milašinović, M., Ignjatović, L.,& Stojković, M.. (2021). Dinamička rezilijentnost kao mera za upravljanje rizikom kod složenih vodoprivrednih sistema: Implementacija modela otkaza u vodoprivredni model. in 19. Savetovanje SDHI i SDH, Beograd, Srbija.
https://hdl.handle.net/21.15107/rcub_grafar_2459

Stojadinović L, Ivetić D, Milašinović M, Ignjatović L, Stojković M. Dinamička rezilijentnost kao mera za upravljanje rizikom kod složenih vodoprivrednih sistema: Implementacija modela otkaza u vodoprivredni model. in 19. Savetovanje SDHI i SDH, Beograd, Srbija. 2021;.
https://hdl.handle.net/21.15107/rcub_grafar_2459 .

Stojadinović, Luka, Ivetić, Damjan, Milašinović, Miloš, Ignjatović, Lazar, Stojković, Milan, "Dinamička rezilijentnost kao mera za upravljanje rizikom kod složenih vodoprivrednih sistema: Implementacija modela otkaza u vodoprivredni model" in 19. Savetovanje SDHI i SDH, Beograd, Srbija (2021),
https://hdl.handle.net/21.15107/rcub_grafar_2459 .

TY  - CONF
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Zindović, Budo
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2457
AB  - Održivo upravljanje vodnim resursima zahteva prognoze dostupne količine vode kao pomoć u donošenju upravljačkih odluka. Međutim, te prognoze su često nepouzdane zbog prisustva različitih tipova neodređenosti. Kod primene linijskih (1D) modela tečenja u otvorenim tokovima neki od dominantnijh izvora neodređenosti su nedovoljno dobro poznavanje graničnih uslova (hidrogrami dotoka, krive protoka) i nepouzdani početni uslovi koji su osnova od koje se započinje prognoza. Kontinulana merenja na sistemu (npr. merenja nivoa na reci) predstavljaju relativno pouzdan reprezent njegovog stanja ali pokrivaju samo jedan mali deo domena koji se razmatra. Zbog toga se pribegava postupku asimilacije podataka kojom se usaglašavaju rezultati 1D modela tečenja u reci i merenja nivoa. Ova usaglašavanja se sprovode za već prikupljene podatke, u vremenskom periodu neposredno pre trenutka od koga se želi izvršiti prognoza. Na kraju asimilacionog perioda model bolje oslikava trenutno stanje na celom domenu i može se iskoristiti za prognozu. Međutim, ako se radi kontinualna asimilacija modela, promene u stanju tokom asimilacije ukazuju na stepen greške u ulaznim hidrogramima. Ovo istraživanje prikazuje potencijal nove metode za asimilaciju podataka za rekonstrukciju stvarnih hidrograma na vodomernim stanicama na osnovu zabeleženih nivoa. Ovaj postupak se može koristiti kao alat za rekonstrukciju poplavnih talasa i za procenu krivih protoka na pojedinim lokacijama.
PB  - Univerzitet u Beogradu – Građevinski fakultet, Beograd
C3  - Zbornik radova 19. naučnog savetovanja Srpskog društva za hidraulička istraživanja i Srpskog društva za hidrologiju
T1  - Rekonstrukcija hidrograma na vodomernim stanicama primenom rezultata asimilacije preliminarni rezultati
EP  - 265
SP  - 255
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2457
ER  - 

@conference{
author = "Milašinović, Miloš and Prodanović, Dušan and Zindović, Budo",
year = "2021",
abstract = "Održivo upravljanje vodnim resursima zahteva prognoze dostupne količine vode kao pomoć u donošenju upravljačkih odluka. Međutim, te prognoze su često nepouzdane zbog prisustva različitih tipova neodređenosti. Kod primene linijskih (1D) modela tečenja u otvorenim tokovima neki od dominantnijh izvora neodređenosti su nedovoljno dobro poznavanje graničnih uslova (hidrogrami dotoka, krive protoka) i nepouzdani početni uslovi koji su osnova od koje se započinje prognoza. Kontinulana merenja na sistemu (npr. merenja nivoa na reci) predstavljaju relativno pouzdan reprezent njegovog stanja ali pokrivaju samo jedan mali deo domena koji se razmatra. Zbog toga se pribegava postupku asimilacije podataka kojom se usaglašavaju rezultati 1D modela tečenja u reci i merenja nivoa. Ova usaglašavanja se sprovode za već prikupljene podatke, u vremenskom periodu neposredno pre trenutka od koga se želi izvršiti prognoza. Na kraju asimilacionog perioda model bolje oslikava trenutno stanje na celom domenu i može se iskoristiti za prognozu. Međutim, ako se radi kontinualna asimilacija modela, promene u stanju tokom asimilacije ukazuju na stepen greške u ulaznim hidrogramima. Ovo istraživanje prikazuje potencijal nove metode za asimilaciju podataka za rekonstrukciju stvarnih hidrograma na vodomernim stanicama na osnovu zabeleženih nivoa. Ovaj postupak se može koristiti kao alat za rekonstrukciju poplavnih talasa i za procenu krivih protoka na pojedinim lokacijama.",
publisher = "Univerzitet u Beogradu – Građevinski fakultet, Beograd",
journal = "Zbornik radova 19. naučnog savetovanja Srpskog društva za hidraulička istraživanja i Srpskog društva za hidrologiju",
title = "Rekonstrukcija hidrograma na vodomernim stanicama primenom rezultata asimilacije preliminarni rezultati",
pages = "265-255",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2457"
}

Milašinović, M., Prodanović, D.,& Zindović, B.. (2021). Rekonstrukcija hidrograma na vodomernim stanicama primenom rezultata asimilacije preliminarni rezultati. in Zbornik radova 19. naučnog savetovanja Srpskog društva za hidraulička istraživanja i Srpskog društva za hidrologiju
Univerzitet u Beogradu – Građevinski fakultet, Beograd., 255-265.
https://hdl.handle.net/21.15107/rcub_grafar_2457

Milašinović M, Prodanović D, Zindović B. Rekonstrukcija hidrograma na vodomernim stanicama primenom rezultata asimilacije preliminarni rezultati. in Zbornik radova 19. naučnog savetovanja Srpskog društva za hidraulička istraživanja i Srpskog društva za hidrologiju. 2021;:255-265.
https://hdl.handle.net/21.15107/rcub_grafar_2457 .

Milašinović, Miloš, Prodanović, Dušan, Zindović, Budo, "Rekonstrukcija hidrograma na vodomernim stanicama primenom rezultata asimilacije preliminarni rezultati" in Zbornik radova 19. naučnog savetovanja Srpskog društva za hidraulička istraživanja i Srpskog društva za hidrologiju (2021):255-265,
https://hdl.handle.net/21.15107/rcub_grafar_2457 .

TY  - JOUR
AU  - Ignjatović, Lazar
AU  - Stojković, Milan
AU  - Ivetić, Damjan
AU  - Milašinović, Miloš
AU  - Milivojević, Nikola
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2671
AB  - The objective of this research is to introduce a novel framework to quantify the risk of the reservoir system outside the design envelope, taking into account the risks related to flood-protection and hydro-energy generation under unfavourable reservoir element conditions (system element failures) and hazardous situations within the environment (flood event). To analyze water system behavior in adverse conditions, a system analysis approach is used, which is founded upon the system dynamics model with a causal loop. The capability of the system in performing the intended functionality can be quantified using the traditional static measures like reliability, resilience and vulnerability, or dynamic resilience. In this paper, a novel method for the assessment of a multi-parameter dynamic resilience is introduced. The multi-parameter dynamic resilience envelops the hydropower and flood-protection resilience, as two opposing demands in the reservoir operation regime. A case study of a Pirot reservoir, in the Republic of Serbia, is used. To estimate the multi -parameter dynamic resilience of the Pirot reservoir system, a hydrological model, and a system dynamic simulation model with an inner control loop, is developed. The inner control loop provides the relation between the hydropower generation and flood-protection. The hydrological model is calibrated and generated climate inputs are used to simulate the long-term flow sequences. The most severe flood event period is extracted to be used as the input for the system dynamics simulations. The system performance for five different scenarios with various multi failure events (e.g., generator failure, segment gate failure on the spillway, leakage from reservoir and water supply tunnel failure due to earthquake) are presented using the novel concept of the explicit modeling of the component failures through element functionality indicators. Based on the outputs from the system dynamics model, system performance is determined and, later, hydropower and flood protection resilience. Then, multi-parameter dynamic resilience of the Pirot reservoir system is estimated and compared with the traditional static measures (reliability). Discrepancy between the drop between multi-parameter resilience (from 0.851 to 0.935) and reliability (from 0.993 to 1) shows that static measure underestimates the risk to the water system. Thus, the results from this research show that multi-parameter dynamic resilience, as an indicator, can provide additional insight compared to the traditional static measures, leading to identification of the vulnerable elements of a complex reservoir system. Additionally, it is shown that the proposed explicit modeling of system components failure can be used to reflect the drop of the overall system functionality.
PB  - MDPI
T2  - Water MDPI
T1  - Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System
VL  - 13(22)
DO  - 10.3390/w13223157
ER  - 

@article{
author = "Ignjatović, Lazar and Stojković, Milan and Ivetić, Damjan and Milašinović, Miloš and Milivojević, Nikola",
year = "2021",
abstract = "The objective of this research is to introduce a novel framework to quantify the risk of the reservoir system outside the design envelope, taking into account the risks related to flood-protection and hydro-energy generation under unfavourable reservoir element conditions (system element failures) and hazardous situations within the environment (flood event). To analyze water system behavior in adverse conditions, a system analysis approach is used, which is founded upon the system dynamics model with a causal loop. The capability of the system in performing the intended functionality can be quantified using the traditional static measures like reliability, resilience and vulnerability, or dynamic resilience. In this paper, a novel method for the assessment of a multi-parameter dynamic resilience is introduced. The multi-parameter dynamic resilience envelops the hydropower and flood-protection resilience, as two opposing demands in the reservoir operation regime. A case study of a Pirot reservoir, in the Republic of Serbia, is used. To estimate the multi -parameter dynamic resilience of the Pirot reservoir system, a hydrological model, and a system dynamic simulation model with an inner control loop, is developed. The inner control loop provides the relation between the hydropower generation and flood-protection. The hydrological model is calibrated and generated climate inputs are used to simulate the long-term flow sequences. The most severe flood event period is extracted to be used as the input for the system dynamics simulations. The system performance for five different scenarios with various multi failure events (e.g., generator failure, segment gate failure on the spillway, leakage from reservoir and water supply tunnel failure due to earthquake) are presented using the novel concept of the explicit modeling of the component failures through element functionality indicators. Based on the outputs from the system dynamics model, system performance is determined and, later, hydropower and flood protection resilience. Then, multi-parameter dynamic resilience of the Pirot reservoir system is estimated and compared with the traditional static measures (reliability). Discrepancy between the drop between multi-parameter resilience (from 0.851 to 0.935) and reliability (from 0.993 to 1) shows that static measure underestimates the risk to the water system. Thus, the results from this research show that multi-parameter dynamic resilience, as an indicator, can provide additional insight compared to the traditional static measures, leading to identification of the vulnerable elements of a complex reservoir system. Additionally, it is shown that the proposed explicit modeling of system components failure can be used to reflect the drop of the overall system functionality.",
publisher = "MDPI",
journal = "Water MDPI",
title = "Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System",
volume = "13(22)",
doi = "10.3390/w13223157"
}

Ignjatović, L., Stojković, M., Ivetić, D., Milašinović, M.,& Milivojević, N.. (2021). Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System. in Water MDPI
MDPI., 13(22).
https://doi.org/10.3390/w13223157

Ignjatović L, Stojković M, Ivetić D, Milašinović M, Milivojević N. Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System. in Water MDPI. 2021;13(22).
doi:10.3390/w13223157 .

Ignjatović, Lazar, Stojković, Milan, Ivetić, Damjan, Milašinović, Miloš, Milivojević, Nikola, "Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System" in Water MDPI, 13(22) (2021),
https://doi.org/10.3390/w13223157 . .

TY  - JOUR
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Zindović, Budo
AU  - Stojanović, Boban
AU  - Milivojević, Nikola
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2363
AB  - Increasing renewable energy usage puts extra pressure on decision-making in river hydropower systems. Decision support tools are used for near-future forecasting of the water available. Model-driven forecasting used for river state estimation often provides bad results due to numerous uncertainties. False inflows and poor initialization are some of the uncertainty sources. To overcome this, standard data assimilation (DA) techniques (e.g., ensemble Kalman filter) are used, which are not always applicable in real systems. This paper presents further insight into the novel, tailor-made model update algorithm based on control theory. According to water-level measurements over the system, the model is controlled and continuously updated using proportional–integrative–derivative (PID) controller(s). Implementation of the PID controllers requires the controllers’ parameters estimation (tuning). This research deals with this task by presenting sequential, multi-metric procedure, applicable for controllers’ initial tuning. The proposed tuning method is tested on the Iron Gate hydropower system in Serbia, showing satisfying results.
PB  - IWA Publishing
T2  - Journal of Hydroinformatics
T1  - Control theory-based data assimilation for hydraulic models as a decision support tool for hydropower systems: sequential, multi-metric tuning of the controllers
IS  - 3
VL  - 23
DO  - 10.2166/hydro.2021.078
ER  - 

@article{
author = "Milašinović, Miloš and Prodanović, Dušan and Zindović, Budo and Stojanović, Boban and Milivojević, Nikola",
year = "2021",
abstract = "Increasing renewable energy usage puts extra pressure on decision-making in river hydropower systems. Decision support tools are used for near-future forecasting of the water available. Model-driven forecasting used for river state estimation often provides bad results due to numerous uncertainties. False inflows and poor initialization are some of the uncertainty sources. To overcome this, standard data assimilation (DA) techniques (e.g., ensemble Kalman filter) are used, which are not always applicable in real systems. This paper presents further insight into the novel, tailor-made model update algorithm based on control theory. According to water-level measurements over the system, the model is controlled and continuously updated using proportional–integrative–derivative (PID) controller(s). Implementation of the PID controllers requires the controllers’ parameters estimation (tuning). This research deals with this task by presenting sequential, multi-metric procedure, applicable for controllers’ initial tuning. The proposed tuning method is tested on the Iron Gate hydropower system in Serbia, showing satisfying results.",
publisher = "IWA Publishing",
journal = "Journal of Hydroinformatics",
title = "Control theory-based data assimilation for hydraulic models as a decision support tool for hydropower systems: sequential, multi-metric tuning of the controllers",
number = "3",
volume = "23",
doi = "10.2166/hydro.2021.078"
}

Milašinović, M., Prodanović, D., Zindović, B., Stojanović, B.,& Milivojević, N.. (2021). Control theory-based data assimilation for hydraulic models as a decision support tool for hydropower systems: sequential, multi-metric tuning of the controllers. in Journal of Hydroinformatics
IWA Publishing., 23(3).
https://doi.org/10.2166/hydro.2021.078

Milašinović M, Prodanović D, Zindović B, Stojanović B, Milivojević N. Control theory-based data assimilation for hydraulic models as a decision support tool for hydropower systems: sequential, multi-metric tuning of the controllers. in Journal of Hydroinformatics. 2021;23(3).
doi:10.2166/hydro.2021.078 .

Milašinović, Miloš, Prodanović, Dušan, Zindović, Budo, Stojanović, Boban, Milivojević, Nikola, "Control theory-based data assimilation for hydraulic models as a decision support tool for hydropower systems: sequential, multi-metric tuning of the controllers" in Journal of Hydroinformatics, 23, no. 3 (2021),
https://doi.org/10.2166/hydro.2021.078 . .

TY  - CONF
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Zindović, Budo
AU  - Rosić, Nikola
AU  - Milivojević, Nikola
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2092
AB  - Model-driven forecasting used for flood risk assessment or river hydropower
systems management, can produce bad results due to many model uncertainties. False inflow
and lateral inflow data and/or poor estimation of initial conditions are some of the uncertainty
sources. To improve model-driven forecasting, data assimilation methods are used for updating
model (e.g., water levels) according to measurements. Widespread data assimilation
methods (EnKF, Particle Filter) often increase computational time, which creates difficulties
in everyday application of these methods in hydraulic modelling. This paper presents novel
approach based on indirect model update adding correction flows at observation locations.
This novel, tailor-made, assimilation approach uses proportional-integrative-derivative controller’s
theory as algorithm for correction flow calculation. Using indirect approach for
model update has justification in models where multiple inflows, including lateral inflows, are
bad estimated or even neglected. This novel approach is tested on 170km long section of
Danube model in Serbia, showing good performance.
PB  - CRC Press/Balkema
C3  - River Flow 2020
T1  - Control theory-based update of water levels in 1D hydrodynamic models
DO  - 10.1201/b22619
ER  - 

@conference{
author = "Milašinović, Miloš and Prodanović, Dušan and Zindović, Budo and Rosić, Nikola and Milivojević, Nikola",
year = "2020",
abstract = "Model-driven forecasting used for flood risk assessment or river hydropower
systems management, can produce bad results due to many model uncertainties. False inflow
and lateral inflow data and/or poor estimation of initial conditions are some of the uncertainty
sources. To improve model-driven forecasting, data assimilation methods are used for updating
model (e.g., water levels) according to measurements. Widespread data assimilation
methods (EnKF, Particle Filter) often increase computational time, which creates difficulties
in everyday application of these methods in hydraulic modelling. This paper presents novel
approach based on indirect model update adding correction flows at observation locations.
This novel, tailor-made, assimilation approach uses proportional-integrative-derivative controller’s
theory as algorithm for correction flow calculation. Using indirect approach for
model update has justification in models where multiple inflows, including lateral inflows, are
bad estimated or even neglected. This novel approach is tested on 170km long section of
Danube model in Serbia, showing good performance.",
publisher = "CRC Press/Balkema",
journal = "River Flow 2020",
title = "Control theory-based update of water levels in 1D hydrodynamic models",
doi = "10.1201/b22619"
}

Milašinović, M., Prodanović, D., Zindović, B., Rosić, N.,& Milivojević, N.. (2020). Control theory-based update of water levels in 1D hydrodynamic models. in River Flow 2020
CRC Press/Balkema..
https://doi.org/10.1201/b22619

Milašinović M, Prodanović D, Zindović B, Rosić N, Milivojević N. Control theory-based update of water levels in 1D hydrodynamic models. in River Flow 2020. 2020;.
doi:10.1201/b22619 .

Milašinović, Miloš, Prodanović, Dušan, Zindović, Budo, Rosić, Nikola, Milivojević, Nikola, "Control theory-based update of water levels in 1D hydrodynamic models" in River Flow 2020 (2020),
https://doi.org/10.1201/b22619 . .

TY  - JOUR
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Zindovic, Budo
AU  - Rosić, Nikola
AU  - Milivojević, Nikola
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1845
AB  - Model-driven forecasting, used for flood risks or big hydropower systems management, can produce results of unsatisfying accuracy even with best-calibrated hydrodynamic models. One of the biggest uncertainty sources is the inflow data, either produced by different hydrological models or obtained using unreliable rating curves. To keep the model in the up-to-date state, data assimilation techniques are used. The aim of the assimilation is to reduce the difference between simulated and observed state of selected variables by updating hydrodynamic model state variables according to observed water levels. The widely used data assimilation method applicable for nonlinear hydrodynamic models is Ensemble Kalman Filter (EnKF). However, this method can often increase the computational time due to complexity of mathematical apparatus, making it less applicable in everyday operations. This paper presents the novel, fast, tailor-made data assimilation method, suitable for 1D open channel hydraulic models, based on control theory. Using Proportional-Integrative-Derivative (PID) controllers, the difference between measured levels and simulated levels obtained by hydrodynamic model is reduced by adding or subtracting the flows in the junctions/sections where water levels are measured. The novel PID control-based data assimilation (PID-DA) is compared to EnKF. Benchmarking shows that PID-DA can be used for data assimilation, even coupled with simplified 1D hydraulic model, without significant sacrifice of stability and accuracy, and with reduction of computational time up to 63 times.
PB  - Elsevier
T2  - Journal of Hydrology
T1  - Fast data assimilation for open channel hydrodynamic models using control theory approach
VL  - 584
DO  - 10.1016/j.jhydrol.2020.124661
ER  - 

@article{
author = "Milašinović, Miloš and Prodanović, Dušan and Zindovic, Budo and Rosić, Nikola and Milivojević, Nikola",
year = "2020",
abstract = "Model-driven forecasting, used for flood risks or big hydropower systems management, can produce results of unsatisfying accuracy even with best-calibrated hydrodynamic models. One of the biggest uncertainty sources is the inflow data, either produced by different hydrological models or obtained using unreliable rating curves. To keep the model in the up-to-date state, data assimilation techniques are used. The aim of the assimilation is to reduce the difference between simulated and observed state of selected variables by updating hydrodynamic model state variables according to observed water levels. The widely used data assimilation method applicable for nonlinear hydrodynamic models is Ensemble Kalman Filter (EnKF). However, this method can often increase the computational time due to complexity of mathematical apparatus, making it less applicable in everyday operations. This paper presents the novel, fast, tailor-made data assimilation method, suitable for 1D open channel hydraulic models, based on control theory. Using Proportional-Integrative-Derivative (PID) controllers, the difference between measured levels and simulated levels obtained by hydrodynamic model is reduced by adding or subtracting the flows in the junctions/sections where water levels are measured. The novel PID control-based data assimilation (PID-DA) is compared to EnKF. Benchmarking shows that PID-DA can be used for data assimilation, even coupled with simplified 1D hydraulic model, without significant sacrifice of stability and accuracy, and with reduction of computational time up to 63 times.",
publisher = "Elsevier",
journal = "Journal of Hydrology",
title = "Fast data assimilation for open channel hydrodynamic models using control theory approach",
volume = "584",
doi = "10.1016/j.jhydrol.2020.124661"
}

Milašinović, M., Prodanović, D., Zindovic, B., Rosić, N.,& Milivojević, N.. (2020). Fast data assimilation for open channel hydrodynamic models using control theory approach. in Journal of Hydrology
Elsevier., 584.
https://doi.org/10.1016/j.jhydrol.2020.124661

Milašinović M, Prodanović D, Zindovic B, Rosić N, Milivojević N. Fast data assimilation for open channel hydrodynamic models using control theory approach. in Journal of Hydrology. 2020;584.
doi:10.1016/j.jhydrol.2020.124661 .

Milašinović, Miloš, Prodanović, Dušan, Zindovic, Budo, Rosić, Nikola, Milivojević, Nikola, "Fast data assimilation for open channel hydrodynamic models using control theory approach" in Journal of Hydrology, 584 (2020),
https://doi.org/10.1016/j.jhydrol.2020.124661 . .

TY  - THES
AU  - Milašinović, Miloš
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2373
AB  - Upravljanje vodnim resursima (vodosnabdevanje, odbrana od poplava, hidroenergetika) zahteva prognoze dostupne količine vode kao pomoć u donošenju upravljačkih odluka. Najčešće se te prognoze zasnivaju na upotrebi različitih fizički zasnovanih modela. Tako dobijeni rezultati su često veoma nepouzdani zbog prisustva različitih tipova neodređenosti. Kod primene linijskih (1D) modela tečenja u otvorenim tokovima neki od dominantnijh izvora neodređenosti su nedovoljno dobro poznavanje graničnih uslova (hidrogrami dotoka, krive protoka) i nepouzdani početni uslovi koji su osnova od koje se započinje prognoza. Kontinulana merenja na sistemu (npr. merenja nivoa na reci) predstavljaju relativno pouzdan reprezent njegovog stanja ali pokrivaju samo jedan mali deo domena koji se razmatra. Zbog toga se pribegava postupku asimilacije podataka kojom se usaglašavaju rezultati modela i merenja. Ova usaglašavanja se sprovode za već prikupljene podatke, u vremenskom periodu neposredno pre trenutka od koga se želi izvršiti prognoza. Taj period usaglašavanja naziva se asimilacioni period. Na kraju asimilacionog perioda model bolje oslikava trenutno stanje na celom domenu i može se iskoristiti za prognozu.
U ovom istraživanju prikazana je nova asimilaciona metoda za modele otvorenih tokova korišćenjem indirektnog, fizički zasnovanog pristupa za usaglašavanje nivoa pomoću korektivnih dotoka. Korektivni dotoci se računaju koristeći teoriju Proporcionalno-Integrativno-Derivativnih (PID) kontrolera iz oblasti teorije upravljanja (eng. control theory). Metoda je razvijena u cilju primene jednostavnijeg i bržeg postupka asimilacije podataka u realnim sistemima otvorenih tokova. Nova asimilaciona metoda poredi se sa standardnom metodom asimilacije podataka (Ensemble Kalman Filter - EnKF) koja se najčešće koristi u sličnim istraživanjima. Poređenjem na hipotetičkim test primerima pokazano je da se primenom nove asimilacione metode dolazi do značajnog ubrzanja proračuna bez smanjenja kvaliteta asimilacije podataka. Primena ove metode na realne sisteme zahteva rešavanje problema određivanja optimalne konfiguracije (forme, strukture) i optimalnog podešavanja parametara PID kontrolera. Na primeru Hidroenergetskog sistema Đerdap sprovedeno je detaljno ispitivanje optimalne konfiguracije na osnovu definisanih indikatora kvaliteta asimilacije podataka. Utvrđeno je da jednostavnija konfiguracija kontrolera, sastavljena od proporcionalnog i integrativnog faktora (PI kontroler) daje najbolje rezultate asimilacije. Optimalno podešavanje parametara kontrolera rešeno je višekriterijumskom optimizacijom pomoću genetskog algoritma sa nedominantnim sortiranjem (eng. Nondominated Sorting Genetic Algorithm II – NSGA-II). Utvrđeno je da se podešavanje kontrolera višekriterijumskom optimizacijom može uraditi koristeći neku od kombinacija sa 2 suprotstavljene kriterijumske funkcije. Dodatna ispitivanja pokazala su potencijal ove asimilacione metode za rekonstrukciju stvarnih hidrograma na osnovu zabeleženih nivograma, kao alata za rekonstrukciju poplavnih talasa i smanjivanje neodređenosti krivih protoka.
T1  - Metodologija za brzu asimilaciju podataka u modelima otvorenih tokova
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2373
ER  - 

@phdthesis{
author = "Milašinović, Miloš",
year = "2020",
abstract = "Upravljanje vodnim resursima (vodosnabdevanje, odbrana od poplava, hidroenergetika) zahteva prognoze dostupne količine vode kao pomoć u donošenju upravljačkih odluka. Najčešće se te prognoze zasnivaju na upotrebi različitih fizički zasnovanih modela. Tako dobijeni rezultati su često veoma nepouzdani zbog prisustva različitih tipova neodređenosti. Kod primene linijskih (1D) modela tečenja u otvorenim tokovima neki od dominantnijh izvora neodređenosti su nedovoljno dobro poznavanje graničnih uslova (hidrogrami dotoka, krive protoka) i nepouzdani početni uslovi koji su osnova od koje se započinje prognoza. Kontinulana merenja na sistemu (npr. merenja nivoa na reci) predstavljaju relativno pouzdan reprezent njegovog stanja ali pokrivaju samo jedan mali deo domena koji se razmatra. Zbog toga se pribegava postupku asimilacije podataka kojom se usaglašavaju rezultati modela i merenja. Ova usaglašavanja se sprovode za već prikupljene podatke, u vremenskom periodu neposredno pre trenutka od koga se želi izvršiti prognoza. Taj period usaglašavanja naziva se asimilacioni period. Na kraju asimilacionog perioda model bolje oslikava trenutno stanje na celom domenu i može se iskoristiti za prognozu.
U ovom istraživanju prikazana je nova asimilaciona metoda za modele otvorenih tokova korišćenjem indirektnog, fizički zasnovanog pristupa za usaglašavanje nivoa pomoću korektivnih dotoka. Korektivni dotoci se računaju koristeći teoriju Proporcionalno-Integrativno-Derivativnih (PID) kontrolera iz oblasti teorije upravljanja (eng. control theory). Metoda je razvijena u cilju primene jednostavnijeg i bržeg postupka asimilacije podataka u realnim sistemima otvorenih tokova. Nova asimilaciona metoda poredi se sa standardnom metodom asimilacije podataka (Ensemble Kalman Filter - EnKF) koja se najčešće koristi u sličnim istraživanjima. Poređenjem na hipotetičkim test primerima pokazano je da se primenom nove asimilacione metode dolazi do značajnog ubrzanja proračuna bez smanjenja kvaliteta asimilacije podataka. Primena ove metode na realne sisteme zahteva rešavanje problema određivanja optimalne konfiguracije (forme, strukture) i optimalnog podešavanja parametara PID kontrolera. Na primeru Hidroenergetskog sistema Đerdap sprovedeno je detaljno ispitivanje optimalne konfiguracije na osnovu definisanih indikatora kvaliteta asimilacije podataka. Utvrđeno je da jednostavnija konfiguracija kontrolera, sastavljena od proporcionalnog i integrativnog faktora (PI kontroler) daje najbolje rezultate asimilacije. Optimalno podešavanje parametara kontrolera rešeno je višekriterijumskom optimizacijom pomoću genetskog algoritma sa nedominantnim sortiranjem (eng. Nondominated Sorting Genetic Algorithm II – NSGA-II). Utvrđeno je da se podešavanje kontrolera višekriterijumskom optimizacijom može uraditi koristeći neku od kombinacija sa 2 suprotstavljene kriterijumske funkcije. Dodatna ispitivanja pokazala su potencijal ove asimilacione metode za rekonstrukciju stvarnih hidrograma na osnovu zabeleženih nivograma, kao alata za rekonstrukciju poplavnih talasa i smanjivanje neodređenosti krivih protoka.",
title = "Metodologija za brzu asimilaciju podataka u modelima otvorenih tokova",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2373"
}

Milašinović, M.. (2020). Metodologija za brzu asimilaciju podataka u modelima otvorenih tokova. .
https://hdl.handle.net/21.15107/rcub_grafar_2373

Milašinović M. Metodologija za brzu asimilaciju podataka u modelima otvorenih tokova. 2020;.
https://hdl.handle.net/21.15107/rcub_grafar_2373 .

Milašinović, Miloš, "Metodologija za brzu asimilaciju podataka u modelima otvorenih tokova" (2020),
https://hdl.handle.net/21.15107/rcub_grafar_2373 .

TY  - JOUR
AU  - Milašinović, Miloš
AU  - Prodanović, Dušan
AU  - Stanić, Miloš
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/998
AB  - Usage of the appropriate model of water distribution systems (WDS) enables easier everyday operations and management decisions. Creating a reliable model of WDS requires a large amount of system response data for different case scenarios. Commonly used software for creating models of WDS is EpaNet. Ongoing processes in WDS, such as pipe bursts, permanently closed valves which are not registered in the data base and other inconsistencies will change WDS network topology, so WDS validation tests are to be applied from time to time. This paper presents the WDS network topology validation test conducted on one district metered area of Belgrade with two inflows. The pressure drop test combined with genetic algorithm and ant colony optimization are simple hydroinformatic tools available for network topology validation. The system's reaction under a pressure change during the isolation test was measured at two observation points. Obtained results are then compared with assumed WDS topology using 55 potential locations of inconsistencies in the EpaNet model. This step is repeated until a good enough match between results from the real system and the created model's version is obtained. Heuristic optimization algorithms are used for speeding up the process of finding a satisfactory match (unknown locations of inconsistencies) by minimizing or maximizing the defined criteria function.
PB  - IWA Publishing
T2  - Water Science and Technology-Water Supply
T1  - Pressure drop test as a hydroinformatic tool for preliminary network topology validation
EP  - 510
IS  - 2
SP  - 502
VL  - 19
DO  - 10.2166/ws.2018.095
ER  - 

@article{
author = "Milašinović, Miloš and Prodanović, Dušan and Stanić, Miloš",
year = "2019",
abstract = "Usage of the appropriate model of water distribution systems (WDS) enables easier everyday operations and management decisions. Creating a reliable model of WDS requires a large amount of system response data for different case scenarios. Commonly used software for creating models of WDS is EpaNet. Ongoing processes in WDS, such as pipe bursts, permanently closed valves which are not registered in the data base and other inconsistencies will change WDS network topology, so WDS validation tests are to be applied from time to time. This paper presents the WDS network topology validation test conducted on one district metered area of Belgrade with two inflows. The pressure drop test combined with genetic algorithm and ant colony optimization are simple hydroinformatic tools available for network topology validation. The system's reaction under a pressure change during the isolation test was measured at two observation points. Obtained results are then compared with assumed WDS topology using 55 potential locations of inconsistencies in the EpaNet model. This step is repeated until a good enough match between results from the real system and the created model's version is obtained. Heuristic optimization algorithms are used for speeding up the process of finding a satisfactory match (unknown locations of inconsistencies) by minimizing or maximizing the defined criteria function.",
publisher = "IWA Publishing",
journal = "Water Science and Technology-Water Supply",
title = "Pressure drop test as a hydroinformatic tool for preliminary network topology validation",
pages = "510-502",
number = "2",
volume = "19",
doi = "10.2166/ws.2018.095"
}

Milašinović, M., Prodanović, D.,& Stanić, M.. (2019). Pressure drop test as a hydroinformatic tool for preliminary network topology validation. in Water Science and Technology-Water Supply
IWA Publishing., 19(2), 502-510.
https://doi.org/10.2166/ws.2018.095

Milašinović M, Prodanović D, Stanić M. Pressure drop test as a hydroinformatic tool for preliminary network topology validation. in Water Science and Technology-Water Supply. 2019;19(2):502-510.
doi:10.2166/ws.2018.095 .

Milašinović, Miloš, Prodanović, Dušan, Stanić, Miloš, "Pressure drop test as a hydroinformatic tool for preliminary network topology validation" in Water Science and Technology-Water Supply, 19, no. 2 (2019):502-510,
https://doi.org/10.2166/ws.2018.095 . .

TY  - JOUR
AU  - Milašinović, Miloš
AU  - Ranđelović, Anja
AU  - Jaćimović, Nenad
AU  - Prodanović, Dušan
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1718
AB  - High urbanization puts many groundwater resources at risk of quality deterioration. Analyzing all viable potential groundwater contamination scenarios for good decision making requires reliable tool. Coupling several complex models in integrated modelling can often fail to perform in reasonable time. Possible solution in that case could be usage of simplified models in order to speed up long-term continuous calculations and simulations. The paper presents the application of the Cellular Automata (CA) approach in modelling of the contaminant transport under unsteady groundwater conditions. It compares the results obtained using coupled CA models with well-known analytical solutions and standard methods used for pollution transport modelling in groundwater conditions, such as coupled MODFLOW and MT3DMS. Results obtained in this paper show that CA approach can be satisfactorily used for simulations of unsteady groundwater conditions, caused by surface-groundwater interaction, and pollution transport, especially in diffusion dominant cases, gaining the reduction of simulation time up to 10 times.
T2  - Journal of Hydrology
T1  - Coupled groundwater hydrodynamic and pollution transport modelling using Cellular Automata approach
EP  - 666
SP  - 652
VL  - 576
DO  - 10.1016/j.jhydrol.2019.06.062
ER  - 

@article{
author = "Milašinović, Miloš and Ranđelović, Anja and Jaćimović, Nenad and Prodanović, Dušan",
year = "2019",
abstract = "High urbanization puts many groundwater resources at risk of quality deterioration. Analyzing all viable potential groundwater contamination scenarios for good decision making requires reliable tool. Coupling several complex models in integrated modelling can often fail to perform in reasonable time. Possible solution in that case could be usage of simplified models in order to speed up long-term continuous calculations and simulations. The paper presents the application of the Cellular Automata (CA) approach in modelling of the contaminant transport under unsteady groundwater conditions. It compares the results obtained using coupled CA models with well-known analytical solutions and standard methods used for pollution transport modelling in groundwater conditions, such as coupled MODFLOW and MT3DMS. Results obtained in this paper show that CA approach can be satisfactorily used for simulations of unsteady groundwater conditions, caused by surface-groundwater interaction, and pollution transport, especially in diffusion dominant cases, gaining the reduction of simulation time up to 10 times.",
journal = "Journal of Hydrology",
title = "Coupled groundwater hydrodynamic and pollution transport modelling using Cellular Automata approach",
pages = "666-652",
volume = "576",
doi = "10.1016/j.jhydrol.2019.06.062"
}

Milašinović, M., Ranđelović, A., Jaćimović, N.,& Prodanović, D.. (2019). Coupled groundwater hydrodynamic and pollution transport modelling using Cellular Automata approach. in Journal of Hydrology, 576, 652-666.
https://doi.org/10.1016/j.jhydrol.2019.06.062

Milašinović M, Ranđelović A, Jaćimović N, Prodanović D. Coupled groundwater hydrodynamic and pollution transport modelling using Cellular Automata approach. in Journal of Hydrology. 2019;576:652-666.
doi:10.1016/j.jhydrol.2019.06.062 .

Milašinović, Miloš, Ranđelović, Anja, Jaćimović, Nenad, Prodanović, Dušan, "Coupled groundwater hydrodynamic and pollution transport modelling using Cellular Automata approach" in Journal of Hydrology, 576 (2019):652-666,
https://doi.org/10.1016/j.jhydrol.2019.06.062 . .

TY  - CONF
AU  - Milašinović, Miloš
AU  - Ranđelović, Anja
AU  - Jaćimović, Nenad
AU  - Prodanović, Dušan
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1656
PB  - Springer International Publishing, Cham
C3  - New Trends in Urban Drainage Modelling: UDM 2018
T1  - Cellular Automata Approach for 2D Pollution Transport Modelling in Urban Groundwater
EP  - 770
SP  - 765
DO  - 10.1007/978-3-319-99867-1_132
ER  - 

@conference{
author = "Milašinović, Miloš and Ranđelović, Anja and Jaćimović, Nenad and Prodanović, Dušan",
year = "2019",
publisher = "Springer International Publishing, Cham",
journal = "New Trends in Urban Drainage Modelling: UDM 2018",
title = "Cellular Automata Approach for 2D Pollution Transport Modelling in Urban Groundwater",
pages = "770-765",
doi = "10.1007/978-3-319-99867-1_132"
}

Milašinović, M., Ranđelović, A., Jaćimović, N.,& Prodanović, D.. (2019). Cellular Automata Approach for 2D Pollution Transport Modelling in Urban Groundwater. in New Trends in Urban Drainage Modelling: UDM 2018
Springer International Publishing, Cham., 765-770.
https://doi.org/10.1007/978-3-319-99867-1_132

Milašinović M, Ranđelović A, Jaćimović N, Prodanović D. Cellular Automata Approach for 2D Pollution Transport Modelling in Urban Groundwater. in New Trends in Urban Drainage Modelling: UDM 2018. 2019;:765-770.
doi:10.1007/978-3-319-99867-1_132 .

Milašinović, Miloš, Ranđelović, Anja, Jaćimović, Nenad, Prodanović, Dušan, "Cellular Automata Approach for 2D Pollution Transport Modelling in Urban Groundwater" in New Trends in Urban Drainage Modelling: UDM 2018 (2019):765-770,
https://doi.org/10.1007/978-3-319-99867-1_132 . .

TY  - CONF
AU  - Milašinović, Miloš
AU  - Zindović, Budo
AU  - Rosić, Nikola
AU  - Prodanović, Dušan
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2093
AB  - Flood risks management is based on data obtained by different forecasts. Forecasts are often based on hydrological-hydrodynamic models. These models are calibrated using selected time-series from the past. However, even calibrated models in later exploitation phases can produce solutions of unsatisfying accuracy. Some of the reasons are uncertainty in the initial and boundary conditions, uncertainty of the input data and uncertainty in riverbed geometry. The aim of the assimilation is to improve the results obtained from the previously calibrated model by coupling it with observed data. To assimilate, the model is run for a short previous period and the state of the model is adjusted to observed data. The corrected model state is then used as an initial state to run the model with for short-term forecast of input data. Assimilation method based on the PID controller for 1D river hydrodynamic models is analyzed in this paper. This method adjusts the state in the hydrodynamic models according to the measurements indirectly by adding or subtracting the discharge in the junction/sections with measured water level. The influence of the hydrodynamic model complexity is analyzed, comparing three models: non-inertia model, diffusion wave and dynamic wave model. Results show that PID control can be adequately used even coupled with simplified hydraulic models for short-term assimilation and forecast, without significant loss of accuracy. PID control-based data assimilation also yields significant reduction in the computational runtime.
PB  - Springer
C3  - Advances in Hydroinformatics - SimHydro 2019
T1  - PID Controllers as Data Assimilation Tool for 1D Hydrodynamic Models of Different Complexity
DO  - 10.1007/978-981-15-5436-0_76
ER  - 

@conference{
author = "Milašinović, Miloš and Zindović, Budo and Rosić, Nikola and Prodanović, Dušan",
year = "2019",
abstract = "Flood risks management is based on data obtained by different forecasts. Forecasts are often based on hydrological-hydrodynamic models. These models are calibrated using selected time-series from the past. However, even calibrated models in later exploitation phases can produce solutions of unsatisfying accuracy. Some of the reasons are uncertainty in the initial and boundary conditions, uncertainty of the input data and uncertainty in riverbed geometry. The aim of the assimilation is to improve the results obtained from the previously calibrated model by coupling it with observed data. To assimilate, the model is run for a short previous period and the state of the model is adjusted to observed data. The corrected model state is then used as an initial state to run the model with for short-term forecast of input data. Assimilation method based on the PID controller for 1D river hydrodynamic models is analyzed in this paper. This method adjusts the state in the hydrodynamic models according to the measurements indirectly by adding or subtracting the discharge in the junction/sections with measured water level. The influence of the hydrodynamic model complexity is analyzed, comparing three models: non-inertia model, diffusion wave and dynamic wave model. Results show that PID control can be adequately used even coupled with simplified hydraulic models for short-term assimilation and forecast, without significant loss of accuracy. PID control-based data assimilation also yields significant reduction in the computational runtime.",
publisher = "Springer",
journal = "Advances in Hydroinformatics - SimHydro 2019",
title = "PID Controllers as Data Assimilation Tool for 1D Hydrodynamic Models of Different Complexity",
doi = "10.1007/978-981-15-5436-0_76"
}

Milašinović, M., Zindović, B., Rosić, N.,& Prodanović, D.. (2019). PID Controllers as Data Assimilation Tool for 1D Hydrodynamic Models of Different Complexity. in Advances in Hydroinformatics - SimHydro 2019
Springer..
https://doi.org/10.1007/978-981-15-5436-0_76

Milašinović M, Zindović B, Rosić N, Prodanović D. PID Controllers as Data Assimilation Tool for 1D Hydrodynamic Models of Different Complexity. in Advances in Hydroinformatics - SimHydro 2019. 2019;.
doi:10.1007/978-981-15-5436-0_76 .

Milašinović, Miloš, Zindović, Budo, Rosić, Nikola, Prodanović, Dušan, "PID Controllers as Data Assimilation Tool for 1D Hydrodynamic Models of Different Complexity" in Advances in Hydroinformatics - SimHydro 2019 (2019),
https://doi.org/10.1007/978-981-15-5436-0_76 . .

TY  - JOUR
AU  - Milašinović, Miloš
AU  - Zindović, Budo
AU  - Rosić, Nikola
AU  - Prodanović, Dušan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1108
T2  - Vodoprivreda
T1  - Analiza uticaja kompleksnosti 1D modela tečenja na postupak asimilacije podataka zasnovane na primeni PID kontrolera - preliminarni rezultati
EP  - 254
SP  - 245
VL  - 50
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1108
ER  - 

@article{
author = "Milašinović, Miloš and Zindović, Budo and Rosić, Nikola and Prodanović, Dušan",
year = "2018",
journal = "Vodoprivreda",
title = "Analiza uticaja kompleksnosti 1D modela tečenja na postupak asimilacije podataka zasnovane na primeni PID kontrolera - preliminarni rezultati",
pages = "254-245",
volume = "50",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1108"
}

Milašinović, M., Zindović, B., Rosić, N.,& Prodanović, D.. (2018). Analiza uticaja kompleksnosti 1D modela tečenja na postupak asimilacije podataka zasnovane na primeni PID kontrolera - preliminarni rezultati. in Vodoprivreda, 50, 245-254.
https://hdl.handle.net/21.15107/rcub_grafar_1108

Milašinović M, Zindović B, Rosić N, Prodanović D. Analiza uticaja kompleksnosti 1D modela tečenja na postupak asimilacije podataka zasnovane na primeni PID kontrolera - preliminarni rezultati. in Vodoprivreda. 2018;50:245-254.
https://hdl.handle.net/21.15107/rcub_grafar_1108 .

Milašinović, Miloš, Zindović, Budo, Rosić, Nikola, Prodanović, Dušan, "Analiza uticaja kompleksnosti 1D modela tečenja na postupak asimilacije podataka zasnovane na primeni PID kontrolera - preliminarni rezultati" in Vodoprivreda, 50 (2018):245-254,
https://hdl.handle.net/21.15107/rcub_grafar_1108 .