Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China

Rapid urbanization and climate change can cause more extensive flood risk, in the absence of urgent and efficient adaptation measures. As the occurrence of floods varies with time and space, comprehensive and dynamical assessment of the spatiotemporal variability of flood risk and understanding of i...

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Autores principales:	Jianxiong Tang, Yanmin Li, Shenghui Cui, Lilai Xu, Yuanchao Hu, Shengping Ding, Vilas Nitivattananon
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Flood risk assessment Spatial multi-criteria analysis GIS Spatiotemporal variation Contribution analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/84f9befb91554593bf5aa8595ee82f92
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spelling	oai:doaj.org-article:84f9befb91554593bf5aa8595ee82f922021-12-01T04:36:17ZAnalyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China1470-160X10.1016/j.ecolind.2020.107134https://doaj.org/article/84f9befb91554593bf5aa8595ee82f922021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20310736https://doaj.org/toc/1470-160XRapid urbanization and climate change can cause more extensive flood risk, in the absence of urgent and efficient adaptation measures. As the occurrence of floods varies with time and space, comprehensive and dynamical assessment of the spatiotemporal variability of flood risk and understanding of its drivers is vital for flood risk management. In this study, we developed a spatial multi-criteria analysis (SMCA) framework for quantifying the spatiotemporal dynamics of flood risk through a case study in a coastal watershed of southeastern China from 1990 to 2015. A comprehensive framework for flood risk assessment was constructed from the hazard, exposure, sensitivity and adaptive capacity components with 23 indicators. The results showed that the highest risk happened in the stage of 2006–2010, while the lowest risk stage was 2011–2015, with higher flood risk in the downstream areas of Jiulong River watershed (JRW). The contribution of each indicator reflects the difference in temporal, spatial and quantity aspects. The top 5 driving factors for JRW included: peak discharge, maximum daily rainfall, age structure, wetland, and reservoir. The risk perception showed a continuous growing impact on flood risk. However, some indicators only showed obvious contributions in the specified area: for example, the built-up expansion in Zhangzhou city; the increase of dike length and the improvement of dike standard in Xinluo district; and the increase of government financial investment in Zhangping and Liancheng district. This study demonstrates the well-performance of our proposed novel approach for flood risk assessment. Our results and conclusions are also of significance for policymakers to understand and point out the deficiencies in the current actions of flood adaption, and consequently develop more targeted and spatially-specific strategies for flood adaptation, in the context of climate change and rapid urbanization.Jianxiong TangYanmin LiShenghui CuiLilai XuYuanchao HuShengping DingVilas NitivattananonElsevierarticleFlood risk assessmentSpatial multi-criteria analysisGISSpatiotemporal variationContribution analysisEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107134- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Flood risk assessment Spatial multi-criteria analysis GIS Spatiotemporal variation Contribution analysis Ecology QH540-549.5
spellingShingle	Flood risk assessment Spatial multi-criteria analysis GIS Spatiotemporal variation Contribution analysis Ecology QH540-549.5 Jianxiong Tang Yanmin Li Shenghui Cui Lilai Xu Yuanchao Hu Shengping Ding Vilas Nitivattananon Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China
description	Rapid urbanization and climate change can cause more extensive flood risk, in the absence of urgent and efficient adaptation measures. As the occurrence of floods varies with time and space, comprehensive and dynamical assessment of the spatiotemporal variability of flood risk and understanding of its drivers is vital for flood risk management. In this study, we developed a spatial multi-criteria analysis (SMCA) framework for quantifying the spatiotemporal dynamics of flood risk through a case study in a coastal watershed of southeastern China from 1990 to 2015. A comprehensive framework for flood risk assessment was constructed from the hazard, exposure, sensitivity and adaptive capacity components with 23 indicators. The results showed that the highest risk happened in the stage of 2006–2010, while the lowest risk stage was 2011–2015, with higher flood risk in the downstream areas of Jiulong River watershed (JRW). The contribution of each indicator reflects the difference in temporal, spatial and quantity aspects. The top 5 driving factors for JRW included: peak discharge, maximum daily rainfall, age structure, wetland, and reservoir. The risk perception showed a continuous growing impact on flood risk. However, some indicators only showed obvious contributions in the specified area: for example, the built-up expansion in Zhangzhou city; the increase of dike length and the improvement of dike standard in Xinluo district; and the increase of government financial investment in Zhangping and Liancheng district. This study demonstrates the well-performance of our proposed novel approach for flood risk assessment. Our results and conclusions are also of significance for policymakers to understand and point out the deficiencies in the current actions of flood adaption, and consequently develop more targeted and spatially-specific strategies for flood adaptation, in the context of climate change and rapid urbanization.
format	article
author	Jianxiong Tang Yanmin Li Shenghui Cui Lilai Xu Yuanchao Hu Shengping Ding Vilas Nitivattananon
author_facet	Jianxiong Tang Yanmin Li Shenghui Cui Lilai Xu Yuanchao Hu Shengping Ding Vilas Nitivattananon
author_sort	Jianxiong Tang
title	Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China
title_short	Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China
title_full	Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China
title_fullStr	Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China
title_full_unstemmed	Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China
title_sort	analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/84f9befb91554593bf5aa8595ee82f92
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Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China

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