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Fine-scale analysis of urban flooding reduction from green infrastructure: An ecosystem services approach for the management of water flows

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  • Maragno, Denis
  • Gaglio, Mattias
  • Robbi, Martina
  • Appiotti, Federica
  • Fano, Elisa Anna
  • Gissi, Elena

Abstract

Climate change is expected to modify the timing and amount of precipitation in the future, increasing the demand for effective adaptation at the local scale, especially to mitigate the impacts of extreme events, expected to increase in frequency and magnitude. Green infrastructure (GI) can provide a crucial water regulating ecosystem service, helping communities to adapt to the increased stormwater runoff and associated flood risks expected from climate change. This paper presents a new planning tool that utilizes remote sensing and census data to model the supply and demand for urban flood reduction services through GI. A high-resolution urban digital model is used to distinguish between permeable and impermeable areas at fine (e.g. 25 cm) spatial scale. Flood reduction capacity was modeled using two indices: i) the amount of runoff reduced by existing GI, and ii) the runoff reduction coefficient. We also analyzed the flood reduction demand using a vulnerability index. The tool is demonstrated in a historical urban center of the Northern Italy, with different scenarios used to identify priority areas of intervention. The results show that the flood reduction capacity is unevenly distributed throughout the study area. Public and private surfaces contribute different amounts of runoff with different flood reduction potentials. In eight of nine urban study areas, private properties generate more runoff than public properties under the worst scenario conditions. The study identified two priority areas of intervention, based on their mismatch between supply and demand of GI’s water regulating services.

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  • Maragno, Denis & Gaglio, Mattias & Robbi, Martina & Appiotti, Federica & Fano, Elisa Anna & Gissi, Elena, 2018. "Fine-scale analysis of urban flooding reduction from green infrastructure: An ecosystem services approach for the management of water flows," Ecological Modelling, Elsevier, vol. 386(C), pages 1-10.
  • Handle: RePEc:eee:ecomod:v:386:y:2018:i:c:p:1-10
    DOI: 10.1016/j.ecolmodel.2018.08.002
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    19. Gaglio, M. & Aschonitis, V. & Pieretti, L. & Santos, L. & Gissi, E. & Castaldelli, G. & Fano, E.A., 2019. "Modelling past, present and future Ecosystem Services supply in a protected floodplain under land use and climate changes," Ecological Modelling, Elsevier, vol. 403(C), pages 23-34.
    20. Mattia Bertin & Eugenia Vincenti, 2024. "Eco-Zip: Climate-Proofing an International Logistic Hub," Sustainability, MDPI, vol. 16(5), pages 1-20, March.
    21. Wenjing Wang & Tong Wu & Yuanzheng Li & Hua Zheng & Zhiyun Ouyang, 2021. "Matching Ecosystem Services Supply and Demand through Land Use Optimization: A Study of the Guangdong-Hong Kong-Macao Megacity," IJERPH, MDPI, vol. 18(5), pages 1-15, February.

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