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Evaluation of Green and Grey Flood Mitigation Measures in Rural Watersheds

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2020
applsci-10-06913.pdf (5.449Mb)
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Authors
Pudar, Ranko
Plavšić, Jasna
Todorović, Andrijana
Article (Published version)
,
MDPI, Basel, Switzerland
Metadata
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Abstract
Floods cause considerable damages worldwide and mitigation of their adverse effects through effective protection measures is needed. Along with the commonly applied “grey” infrastructure, “green” measures that can offer additional benefits, such as ecosystem services, are increasingly being considered lately. While the recent research tendencies are focused on the effectiveness and the value of green measures in urban areas, this paper presents a comprehensive financial evaluation of green and grey flood mitigation scenarios for a smaller rural watershed. A micro-scale damage model that builds on the hydrodynamic modeling of hazard, detailed asset identification, and damage assessment is presented and applied for evaluation of benefits from various flood mitigation measures in the Tamnava watershed in Serbia. Four scenarios are considered: (1) existing flood protection system; (2) green scenario involving new detention basins; (3) grey infrastructure enhancement by rising of the existi...ng levees and diverting flood discharges; and (4) green-grey scenario that combines scenarios (2) and (3). The benefits (loss reduction) are the greatest with the green scenario and marginally higher with the combined green-grey scenario. The results suggest that for small rural watersheds, a holistic, integrative approach that includes both types of infrastructure can provide the most effective flood risk mitigation.

Keywords:
flood risk / flood damage / flood mitigation measures / green infrastructure / financial appraisals of damages / depth-damage functions / rural watersheds
Source:
Applied Sciences, 2020, 10
Publisher:
  • MDPI
Funding / projects:
  • 776866 RECONECT

DOI: 10.3390/app10196913

ISSN: 2076-3417

WoS: 000586660800001

Scopus: 2-s2.0-85092761420
[ Google Scholar ]
3
2
URI
https://grafar.grf.bg.ac.rs/handle/123456789/2105
Collections
  • Катедра за хидротехнику и водно-еколошко инжењерство
Institution/Community
GraFar
TY  - JOUR
AU  - Pudar, Ranko
AU  - Plavšić, Jasna
AU  - Todorović, Andrijana
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2105
AB  - Floods cause considerable damages worldwide and mitigation of their adverse effects through effective protection measures is needed. Along with the commonly applied “grey” infrastructure, “green” measures that can offer additional benefits, such as ecosystem services, are increasingly being considered lately. While the recent research tendencies are focused on the effectiveness and the value of green measures in urban areas, this paper presents a comprehensive financial evaluation of green and grey flood mitigation scenarios for a smaller rural watershed. A micro-scale damage model that builds on the hydrodynamic modeling of hazard, detailed asset identification, and damage assessment is presented and applied for evaluation of benefits from various flood mitigation measures in the Tamnava watershed in Serbia. Four scenarios are considered: (1) existing flood protection system; (2) green scenario involving new detention basins; (3) grey infrastructure enhancement by rising of the existing levees and diverting flood discharges; and (4) green-grey scenario that combines scenarios (2) and (3). The benefits (loss reduction) are the greatest with the green scenario and marginally higher with the combined green-grey scenario. The results suggest that for small rural watersheds, a holistic, integrative approach that includes both types of infrastructure can provide the most effective flood risk mitigation.
PB  - MDPI
T2  - Applied Sciences
T1  - Evaluation of Green and Grey Flood Mitigation Measures in Rural Watersheds
VL  - 10
DO  - 10.3390/app10196913
ER  - 
@article{
author = "Pudar, Ranko and Plavšić, Jasna and Todorović, Andrijana",
year = "2020",
abstract = "Floods cause considerable damages worldwide and mitigation of their adverse effects through effective protection measures is needed. Along with the commonly applied “grey” infrastructure, “green” measures that can offer additional benefits, such as ecosystem services, are increasingly being considered lately. While the recent research tendencies are focused on the effectiveness and the value of green measures in urban areas, this paper presents a comprehensive financial evaluation of green and grey flood mitigation scenarios for a smaller rural watershed. A micro-scale damage model that builds on the hydrodynamic modeling of hazard, detailed asset identification, and damage assessment is presented and applied for evaluation of benefits from various flood mitigation measures in the Tamnava watershed in Serbia. Four scenarios are considered: (1) existing flood protection system; (2) green scenario involving new detention basins; (3) grey infrastructure enhancement by rising of the existing levees and diverting flood discharges; and (4) green-grey scenario that combines scenarios (2) and (3). The benefits (loss reduction) are the greatest with the green scenario and marginally higher with the combined green-grey scenario. The results suggest that for small rural watersheds, a holistic, integrative approach that includes both types of infrastructure can provide the most effective flood risk mitigation.",
publisher = "MDPI",
journal = "Applied Sciences",
title = "Evaluation of Green and Grey Flood Mitigation Measures in Rural Watersheds",
volume = "10",
doi = "10.3390/app10196913"
}
Pudar, R., Plavšić, J.,& Todorović, A.. (2020). Evaluation of Green and Grey Flood Mitigation Measures in Rural Watersheds. in Applied Sciences
MDPI., 10.
https://doi.org/10.3390/app10196913
Pudar R, Plavšić J, Todorović A. Evaluation of Green and Grey Flood Mitigation Measures in Rural Watersheds. in Applied Sciences. 2020;10.
doi:10.3390/app10196913 .
Pudar, Ranko, Plavšić, Jasna, Todorović, Andrijana, "Evaluation of Green and Grey Flood Mitigation Measures in Rural Watersheds" in Applied Sciences, 10 (2020),
https://doi.org/10.3390/app10196913 . .

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