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• W3217370098 abstract "Abstract Understanding and modelling pluvial flood patterns is pivotal for the estimation of flood impacts in urban areas, especially in a climate change perspective. However, urban flood modelling under climate change conditions poses several challenges. On one hand, the identification and collection of climate change data suitable for flood‐related evaluations requires consistent computational and scientific effort. On the other hand, large difficulties can arise in the reproduction of the rainfall‐runoff transformation process in cases when only little information about the subsurface processes is known. In this perspective, a simplified approach is proposed to address the challenges regarding the quantitative estimation of climate change effects on urban flooding for real case applications. The approach is defined as “bottom‐up” because climate change information is not included in flood modelling, but it is only invoked for the interpretation of results. In other words, the challenge faced in this work is the development of a modelling strategy that is expeditious, because it does not require flood simulations for future rainfall scenarios, but only under current climate conditions, thus reducing the overall computational effort; and it is flexible, because results can be easily updated once new climate change data, scenarios or methods become available, without the need of additional flood simulations. To simulate real case applications, the approach is tested for a scenario analysis, where different return periods and hyetograph shapes are used as input for urban inundation modelling in Naples, Italy. The approach can support public and private stakeholders, such as land administrators and water systems managers; moreover, it represents a valuable and effective basis for climate change risk communication strategies." @default.
• W3217370098 created "2021-12-06" @default.
• W3217370098 creator A5004011680 @default.
• W3217370098 creator A5005090883 @default.
• W3217370098 creator A5005119619 @default.
• W3217370098 creator A5005716316 @default.
• W3217370098 creator A5043834237 @default.
• W3217370098 creator A5048514891 @default.
• W3217370098 date "2021-12-01" @default.
• W3217370098 modified "2023-09-24" @default.
• W3217370098 title "Using the present to estimate the future: A simplified approach for the quantification of climate change effects on urban flooding by scenario analysis" @default.
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