Continuous changes in climate conditions combined with urban population growth pose cities as one of the most vulnerable areas to increasing flood risk. In such an atmosphere of growing uncertainty, a more effective flood risk management is becoming crucial. Nevertheless, decision-making and selection of adequate systems is a difficult task due to complex interactions between natural, social and built environments. The combination of green (or sustainable) and grey (or traditional) options has been proposed as a way forward to ensure resilience in advance of extreme events, and at the same time to obtain co-benefits for society and the environment. The present paper describes a novel method for selection of urban flood measures, based on a multi-criteria analysis that includes flood risk reduction, cost minimization and enhancement of co-benefits. The aim of this method is to assist decision makers in selecting and planning measures, which afterwards can be part of either high level scoping analysis or more complex studies, such as model based assessment. The proposed method is implemented within a tool which operates as a standalone application. Through this tool, the method has been applied in three study cases. The findings obtained indicate promising potential of the method here introduced.
机构:
Univ Tehran, Fac New Sci & Technol, Tehran, IranUniv Tehran, Fac Nat Resources, Dept Reclamat Arid & Mountainous Reg, Karaj, Iran
Azimi, Ehsan
Collins, Timothy W.
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Univ Utah, Dept Geog, 260 S Campus Dr,Rm 4625, Salt Lake City, UT 84112 USA
Univ Utah, Ctr Nat & Technol Hazards, 260 S Campus Dr,Rm 4625, Salt Lake City, UT 84112 USAUniv Tehran, Fac Nat Resources, Dept Reclamat Arid & Mountainous Reg, Karaj, Iran
机构:
Fed Univ Rio Janeiro, Transport Engn Program, PET, COPPE, BR-21941598 Rio De Janeiro, BrazilFed Univ Rio Janeiro, Transport Engn Program, PET, COPPE, BR-21941598 Rio De Janeiro, Brazil
de Sousa, Fernanda Oliveira
Flores, Victor Andre Ariza
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Pontificia Univ Catolica Chile, Escuela Construcc Civil, Santiago 7820436, ChileFed Univ Rio Janeiro, Transport Engn Program, PET, COPPE, BR-21941598 Rio De Janeiro, Brazil
Flores, Victor Andre Ariza
Cunha, Christhian Santana
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Univ Fed Rio Grande do Sul UFRGS, Programa Pos Grad Sensoriamento Remoto PPGSR, BR-9050190 Porto Alegre, BrazilFed Univ Rio Janeiro, Transport Engn Program, PET, COPPE, BR-21941598 Rio De Janeiro, Brazil
Cunha, Christhian Santana
Oda, Sandra
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Fed Univ Rio Janeiro, Transport Engn Program, PET, COPPE, BR-21941598 Rio De Janeiro, BrazilFed Univ Rio Janeiro, Transport Engn Program, PET, COPPE, BR-21941598 Rio De Janeiro, Brazil
Oda, Sandra
Neto, Hostilio Xavier Ratton
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机构:Fed Univ Rio Janeiro, Transport Engn Program, PET, COPPE, BR-21941598 Rio De Janeiro, Brazil