Ruangpan, Laddaporn

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Author's Bibliography

Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits

Ruangpan, Laddaporn; Vojinovic, Zoran; Plavšić, Jasna; Curran, Alex; Rosić, Nikola; Pudar, Ranko; Savic, Dragan; Brdjanovic, Damir

(Elsevier, 2024)

TY  - JOUR
AU  - Ruangpan, Laddaporn
AU  - Vojinovic, Zoran
AU  - Plavšić, Jasna
AU  - Curran, Alex
AU  - Rosić, Nikola
AU  - Pudar, Ranko
AU  - Savic, Dragan
AU  - Brdjanovic, Damir
PY  - 2024
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3383
AB  - Flooding is expected to increase due to climate change, urbanisation, and land use change. To address this issue, Nature-Based Solutions (NBSs) are often adopted as innovative and sustainable flood risk management methods. Besides the flood risk reduction benefits, NBSs offer co-benefits for the environment and society. However, these co-benefits are rarely considered in flood risk management due to the inherent complexities of incorporating them into economic assessments. This research addresses this gap by developing a comprehensive methodology that integrates the monetary analysis of co-benefits with flood risk reduction in economic assessments. In doing so, it aspires to provide a more holistic view of the impact of NBS in flood risk management. The assessment employs a framework based on life-cycle cost-benefit analysis, offering a systematic and transparent assessment of both costs and benefits over time supported by key indicators like net present value and benefit cost ratio. The methodology has been applied to the Tamnava basin in Serbia, where significant flooding occurred in 2014 and 2020. The methodology offers valuable insights for practitioners, researchers, and planners seeking to assess the co-benefits of NBS and integrate them into economic assessments. The results show that when considering flood risk reduction alone, all considered measures have higher costs than the benefits derived from avoiding flood damage. However, when incorporating co-benefits, several NBS have a net positive economic impact, including afforestation/reforestation and retention ponds with cost-benefit ratios of 3.5 and 5.6 respectively. This suggests that incorporating co-benefits into economic assessments can significantly increase the overall economic efficiency and viability of NBS.
PB  - Elsevier
T2  - Journal of Environmental Management
T1  - Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits
SP  - 119985
VL  - 352
DO  - 10.1016/j.jenvman.2023.119985
ER  - 
@article{
author = "Ruangpan, Laddaporn and Vojinovic, Zoran and Plavšić, Jasna and Curran, Alex and Rosić, Nikola and Pudar, Ranko and Savic, Dragan and Brdjanovic, Damir",
year = "2024",
abstract = "Flooding is expected to increase due to climate change, urbanisation, and land use change. To address this issue, Nature-Based Solutions (NBSs) are often adopted as innovative and sustainable flood risk management methods. Besides the flood risk reduction benefits, NBSs offer co-benefits for the environment and society. However, these co-benefits are rarely considered in flood risk management due to the inherent complexities of incorporating them into economic assessments. This research addresses this gap by developing a comprehensive methodology that integrates the monetary analysis of co-benefits with flood risk reduction in economic assessments. In doing so, it aspires to provide a more holistic view of the impact of NBS in flood risk management. The assessment employs a framework based on life-cycle cost-benefit analysis, offering a systematic and transparent assessment of both costs and benefits over time supported by key indicators like net present value and benefit cost ratio. The methodology has been applied to the Tamnava basin in Serbia, where significant flooding occurred in 2014 and 2020. The methodology offers valuable insights for practitioners, researchers, and planners seeking to assess the co-benefits of NBS and integrate them into economic assessments. The results show that when considering flood risk reduction alone, all considered measures have higher costs than the benefits derived from avoiding flood damage. However, when incorporating co-benefits, several NBS have a net positive economic impact, including afforestation/reforestation and retention ponds with cost-benefit ratios of 3.5 and 5.6 respectively. This suggests that incorporating co-benefits into economic assessments can significantly increase the overall economic efficiency and viability of NBS.",
publisher = "Elsevier",
journal = "Journal of Environmental Management",
title = "Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits",
pages = "119985",
volume = "352",
doi = "10.1016/j.jenvman.2023.119985"
}
Ruangpan, L., Vojinovic, Z., Plavšić, J., Curran, A., Rosić, N., Pudar, R., Savic, D.,& Brdjanovic, D.. (2024). Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits. in Journal of Environmental Management
Elsevier., 352, 119985.
https://doi.org/10.1016/j.jenvman.2023.119985
Ruangpan L, Vojinovic Z, Plavšić J, Curran A, Rosić N, Pudar R, Savic D, Brdjanovic D. Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits. in Journal of Environmental Management. 2024;352:119985.
doi:10.1016/j.jenvman.2023.119985 .
Ruangpan, Laddaporn, Vojinovic, Zoran, Plavšić, Jasna, Curran, Alex, Rosić, Nikola, Pudar, Ranko, Savic, Dragan, Brdjanovic, Damir, "Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits" in Journal of Environmental Management, 352 (2024):119985,
https://doi.org/10.1016/j.jenvman.2023.119985 . .
1

Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions

Gutierrez Caloir, Beatriz Emma; Abebe, Yared Abayneh; Vojinovic, Zoran; Sanchez, Arlex; Mubeen, Adam; Ruangpan, Laddaporn; Manojlovic, Natasa; Plavšić, Jasna; Đorđević, Slobodan

(2023)

TY  - JOUR
AU  - Gutierrez Caloir, Beatriz Emma
AU  - Abebe, Yared Abayneh
AU  - Vojinovic, Zoran
AU  - Sanchez, Arlex
AU  - Mubeen, Adam
AU  - Ruangpan, Laddaporn
AU  - Manojlovic, Natasa
AU  - Plavšić, Jasna
AU  - Đorđević, Slobodan
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3350
AB  - The escalating impacts of climate change trigger the necessity to deal with hydro-meteorological hazards. Nature-based solutions (NBSs) seem to be a suitable response, integrating the hydrology, geomorphology, hydraulic, and ecological dynamics. While there are some methods and tools for suitability mapping of small-scale NBSs, literature concerning the spatial allocation of large-scale NBSs is still lacking. The present work aims to develop new toolboxes and enhance an existing methodology by developing spatial analysis tools within a geographic information system (GIS) environment to allocate large-scale NBSs based on a multi-criteria algorithm. The methodologies combine machine learning spatial data processing techniques and hydrodynamic modelling for allocation of large-scale NBSs. The case studies concern selected areas in the Netherlands, Serbia, and Bolivia, focusing on three large-scale NBS: rainwater harvesting, wetland restoration, and natural riverbank stabilisation. Information available from the EC H2020 RECONECT project as well as other available data for the specific study areas was used. The research highlights the significance of incorporating machine learning, GIS, and remote sensing techniques for the suitable allocation of large-scale NBSs. The findings may offer new insights for decision-makers and other stakeholders involved in future sustainable environmental planning and climate change adaptation.
T2  - Blue-Green Systems
T1  - Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions
IS  - 2
SP  - 186
VL  - 5
DO  - 10.2166/bgs.2023.040
ER  - 
@article{
author = "Gutierrez Caloir, Beatriz Emma and Abebe, Yared Abayneh and Vojinovic, Zoran and Sanchez, Arlex and Mubeen, Adam and Ruangpan, Laddaporn and Manojlovic, Natasa and Plavšić, Jasna and Đorđević, Slobodan",
year = "2023",
abstract = "The escalating impacts of climate change trigger the necessity to deal with hydro-meteorological hazards. Nature-based solutions (NBSs) seem to be a suitable response, integrating the hydrology, geomorphology, hydraulic, and ecological dynamics. While there are some methods and tools for suitability mapping of small-scale NBSs, literature concerning the spatial allocation of large-scale NBSs is still lacking. The present work aims to develop new toolboxes and enhance an existing methodology by developing spatial analysis tools within a geographic information system (GIS) environment to allocate large-scale NBSs based on a multi-criteria algorithm. The methodologies combine machine learning spatial data processing techniques and hydrodynamic modelling for allocation of large-scale NBSs. The case studies concern selected areas in the Netherlands, Serbia, and Bolivia, focusing on three large-scale NBS: rainwater harvesting, wetland restoration, and natural riverbank stabilisation. Information available from the EC H2020 RECONECT project as well as other available data for the specific study areas was used. The research highlights the significance of incorporating machine learning, GIS, and remote sensing techniques for the suitable allocation of large-scale NBSs. The findings may offer new insights for decision-makers and other stakeholders involved in future sustainable environmental planning and climate change adaptation.",
journal = "Blue-Green Systems",
title = "Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions",
number = "2",
pages = "186",
volume = "5",
doi = "10.2166/bgs.2023.040"
}
Gutierrez Caloir, B. E., Abebe, Y. A., Vojinovic, Z., Sanchez, A., Mubeen, A., Ruangpan, L., Manojlovic, N., Plavšić, J.,& Đorđević, S.. (2023). Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions. in Blue-Green Systems, 5(2), 186.
https://doi.org/10.2166/bgs.2023.040
Gutierrez Caloir BE, Abebe YA, Vojinovic Z, Sanchez A, Mubeen A, Ruangpan L, Manojlovic N, Plavšić J, Đorđević S. Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions. in Blue-Green Systems. 2023;5(2):186.
doi:10.2166/bgs.2023.040 .
Gutierrez Caloir, Beatriz Emma, Abebe, Yared Abayneh, Vojinovic, Zoran, Sanchez, Arlex, Mubeen, Adam, Ruangpan, Laddaporn, Manojlovic, Natasa, Plavšić, Jasna, Đorđević, Slobodan, "Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions" in Blue-Green Systems, 5, no. 2 (2023):186,
https://doi.org/10.2166/bgs.2023.040 . .

Planning and Suitability Assessment of Large-scale Nature-based Solutions for Flood-risk Reduction

Mubeen, Adam; Ruangpan, Laddaporn; Vojinovic, Zoran; Torres, Arlex Sanchez; Plavšić, Jasna

(2021)

TY  - JOUR
AU  - Mubeen, Adam
AU  - Ruangpan, Laddaporn
AU  - Vojinovic, Zoran
AU  - Torres, Arlex Sanchez
AU  - Plavšić, Jasna
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2451
AB  - Adverse effects of climate change are increasing around the world and the floods are
posing significant challenges for water managers. With climate projections showing
increased risks of storms and extreme precipitation, the use of traditional measures alone
is no longer an option. Nature-Based Solutions (NBS) offer a suitable alternative to
reduce the risk of flooding and provide multiple benefits. However, planning such
interventions requires careful consideration of various factors and local contexts. The
present paper provides contribution in this direction and it proposes a methodology for
allocation of large-scale NBS using suitability mapping. The methodology was implemented
within the toolboxes of ESRI ArcMap software in order to map suitability for four
types of NBS interventions: floodplain restoration, detention basins, retention ponds, and
river widening. The toolboxes developed were applied to the case study area in Serbia,
i.e., the Tamnava River basin. Flood maps were used to determine the volume of
floodwater that needs to be stored for reducing flood risk in the basin and subsequent
downstream areas. The suitability maps produced indicate the potential of the new
methodology and its application as a decision-support tool for selection and allocation
of large-scale NBS.
T2  - Water Resources Management
T1  - Planning and Suitability Assessment of Large-scale Nature-based Solutions for Flood-risk Reduction
EP  - 3081
SP  - 3063
VL  - 35
DO  - 10.1007/s11269-021-02848-w
ER  - 
@article{
author = "Mubeen, Adam and Ruangpan, Laddaporn and Vojinovic, Zoran and Torres, Arlex Sanchez and Plavšić, Jasna",
year = "2021",
abstract = "Adverse effects of climate change are increasing around the world and the floods are
posing significant challenges for water managers. With climate projections showing
increased risks of storms and extreme precipitation, the use of traditional measures alone
is no longer an option. Nature-Based Solutions (NBS) offer a suitable alternative to
reduce the risk of flooding and provide multiple benefits. However, planning such
interventions requires careful consideration of various factors and local contexts. The
present paper provides contribution in this direction and it proposes a methodology for
allocation of large-scale NBS using suitability mapping. The methodology was implemented
within the toolboxes of ESRI ArcMap software in order to map suitability for four
types of NBS interventions: floodplain restoration, detention basins, retention ponds, and
river widening. The toolboxes developed were applied to the case study area in Serbia,
i.e., the Tamnava River basin. Flood maps were used to determine the volume of
floodwater that needs to be stored for reducing flood risk in the basin and subsequent
downstream areas. The suitability maps produced indicate the potential of the new
methodology and its application as a decision-support tool for selection and allocation
of large-scale NBS.",
journal = "Water Resources Management",
title = "Planning and Suitability Assessment of Large-scale Nature-based Solutions for Flood-risk Reduction",
pages = "3081-3063",
volume = "35",
doi = "10.1007/s11269-021-02848-w"
}
Mubeen, A., Ruangpan, L., Vojinovic, Z., Torres, A. S.,& Plavšić, J.. (2021). Planning and Suitability Assessment of Large-scale Nature-based Solutions for Flood-risk Reduction. in Water Resources Management, 35, 3063-3081.
https://doi.org/10.1007/s11269-021-02848-w
Mubeen A, Ruangpan L, Vojinovic Z, Torres AS, Plavšić J. Planning and Suitability Assessment of Large-scale Nature-based Solutions for Flood-risk Reduction. in Water Resources Management. 2021;35:3063-3081.
doi:10.1007/s11269-021-02848-w .
Mubeen, Adam, Ruangpan, Laddaporn, Vojinovic, Zoran, Torres, Arlex Sanchez, Plavšić, Jasna, "Planning and Suitability Assessment of Large-scale Nature-based Solutions for Flood-risk Reduction" in Water Resources Management, 35 (2021):3063-3081,
https://doi.org/10.1007/s11269-021-02848-w . .
3
23
2

Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions

Ruangpan, Laddaporn; Vojinovic, Zoran; Plavšić, Jasna; Doong, Dong-Jiing; Bahlmann, Tobias; Alves, Alida; Tseng, Leng-Hsuan; Ranđelović, Anja; Todorović, Andrijana; Kocić, Zvonimir; Beljinac, Vladimir; Wu, Meng-Hsuan; Lo, Wei-Cheng; Perez-Lapeña, Blanca; Franca, Mário J.

(2020)

TY  - JOUR
AU  - Ruangpan, Laddaporn
AU  - Vojinovic, Zoran
AU  - Plavšić, Jasna
AU  - Doong, Dong-Jiing
AU  - Bahlmann, Tobias
AU  - Alves, Alida
AU  - Tseng, Leng-Hsuan
AU  - Ranđelović, Anja
AU  - Todorović, Andrijana
AU  - Kocić, Zvonimir
AU  - Beljinac, Vladimir
AU  - Wu, Meng-Hsuan
AU  - Lo, Wei-Cheng
AU  - Perez-Lapeña, Blanca
AU  - Franca, Mário J.
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2219
AB  - Hydro-meteorological risks are a growing issue for societies, economies and environments around the world. An effective, sustainable response to such risks and their future uncertainty requires a paradigm shift in our research and practical efforts. In this respect, Nature-Based Solutions (NBSs) offer the potential to achieve a more effective and flexible response to hydro-meteorological risks while also enhancing human well-being and biodiversity. The present paper describes a new methodology that incorporates stakeholders’ preferences into a multi-criteria analysis framework, as part of a tool for selecting risk mitigation measures. The methodology has been applied to Tamnava river basin in Serbia and Nangang river basin in Taiwan within the EC-funded RECONECT project. The results highlight the importance of involving stakeholders in the early stages of projects in order to achieve successful implementation of NBSs. The methodology can assist decision-makers in formulating desirable benefits and co-benefits and can enable a systematic and transparent NBSs planning process.
T2  - Ambio
T1  - Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions
DO  - 10.1007/s13280-020-01419-4
ER  - 
@article{
author = "Ruangpan, Laddaporn and Vojinovic, Zoran and Plavšić, Jasna and Doong, Dong-Jiing and Bahlmann, Tobias and Alves, Alida and Tseng, Leng-Hsuan and Ranđelović, Anja and Todorović, Andrijana and Kocić, Zvonimir and Beljinac, Vladimir and Wu, Meng-Hsuan and Lo, Wei-Cheng and Perez-Lapeña, Blanca and Franca, Mário J.",
year = "2020",
abstract = "Hydro-meteorological risks are a growing issue for societies, economies and environments around the world. An effective, sustainable response to such risks and their future uncertainty requires a paradigm shift in our research and practical efforts. In this respect, Nature-Based Solutions (NBSs) offer the potential to achieve a more effective and flexible response to hydro-meteorological risks while also enhancing human well-being and biodiversity. The present paper describes a new methodology that incorporates stakeholders’ preferences into a multi-criteria analysis framework, as part of a tool for selecting risk mitigation measures. The methodology has been applied to Tamnava river basin in Serbia and Nangang river basin in Taiwan within the EC-funded RECONECT project. The results highlight the importance of involving stakeholders in the early stages of projects in order to achieve successful implementation of NBSs. The methodology can assist decision-makers in formulating desirable benefits and co-benefits and can enable a systematic and transparent NBSs planning process.",
journal = "Ambio",
title = "Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions",
doi = "10.1007/s13280-020-01419-4"
}
Ruangpan, L., Vojinovic, Z., Plavšić, J., Doong, D., Bahlmann, T., Alves, A., Tseng, L., Ranđelović, A., Todorović, A., Kocić, Z., Beljinac, V., Wu, M., Lo, W., Perez-Lapeña, B.,& Franca, M. J.. (2020). Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions. in Ambio.
https://doi.org/10.1007/s13280-020-01419-4
Ruangpan L, Vojinovic Z, Plavšić J, Doong D, Bahlmann T, Alves A, Tseng L, Ranđelović A, Todorović A, Kocić Z, Beljinac V, Wu M, Lo W, Perez-Lapeña B, Franca MJ. Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions. in Ambio. 2020;.
doi:10.1007/s13280-020-01419-4 .
Ruangpan, Laddaporn, Vojinovic, Zoran, Plavšić, Jasna, Doong, Dong-Jiing, Bahlmann, Tobias, Alves, Alida, Tseng, Leng-Hsuan, Ranđelović, Anja, Todorović, Andrijana, Kocić, Zvonimir, Beljinac, Vladimir, Wu, Meng-Hsuan, Lo, Wei-Cheng, Perez-Lapeña, Blanca, Franca, Mário J., "Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions" in Ambio (2020),
https://doi.org/10.1007/s13280-020-01419-4 . .
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