Control theory-based update of water levels in 1D hydrodynamic models
Само за регистроване кориснике
2020
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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, a...re
bad estimated or even neglected. This novel approach is tested on 170km long section of
Danube model in Serbia, showing good performance.
Кључне речи:
PID control / 1D river / data assimilation / correction flowИзвор:
River Flow 2020, 2020Издавач:
- CRC Press/Balkema
Финансирање / пројекти:
Институција/група
GraFarTY - 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 . .