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  4. Fluvial flood adaptation using nature-based solutions: A comprehensive and effective assessment of hydro-meteorological risks
 
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Fluvial flood adaptation using nature-based solutions: A comprehensive and effective assessment of hydro-meteorological risks

Journal
Science of the Total Environment
Journal Volume
912
Date Issued
2024-02-20
Author(s)
KUO-WEI LIAO  
Thedy, John
Tai, Chun Che
DOI
10.1016/j.scitotenv.2023.169329
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180366066&doi=10.1016%2fj.scitotenv.2023.169329&partnerID=40&md5=f742ad3784a6209c4a136f9ab5fe7b01
https://scholars.lib.ntu.edu.tw/handle/123456789/638486
URL
https://api.elsevier.com/content/abstract/scopus_id/85180366066
Abstract
The growing prominence of Nature-based Solutions (NbS) for disaster risk reduction (DRR) has sparked increased interest. This study is motivated by the need to establish a quantifiable and standardized method for assessing the risks mitigated by NbS in engineering applications. The goal is to establish a comprehensive and effective system framework for assessing hydro-meteorological risks related to NbS in engineering applications. The proposed framework considers flood disaster mechanisms, uncertain factors, and ecosystem services, integrating them to comprehensively assess the benefits of NbS. Specifically, 2-D hydraulic analysis and an in-house adaptive Kriging-based reliability analysis are developed and applied to establish flood prevention standards for NbS. Additionally, the InVEST toolkit is utilized to evaluate ecosystem services. To demonstrate the applicability of the framework, the Baoli River Watershed located in Pingtung County of Taiwan is selected as a case study. It is found that NbS can effectively withstand a 25-year return period flood and reduce flooding on agricultural land by 46.03 %. Furthermore, the probability of flooding decreased from 100 % to 27 % for a 20-year return period flood. NbS was found to provide approximately NT$1.20–4.65 million more in total benefit value compared to the engineering governance strategy. The supporting source codes are available at https://github.com/johnthedy/Adaptive-Kriging-Using-PSO-HHs-in-HECRAS3D.git.
Subjects
Disaster risk reduction | Hydro-meteorological risk | Kriging-based reliability | Nature-based solutions
Type
journal article

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