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使用地理信息系统对洪水脆弱性进行的系统综述。

A systematic review of the flood vulnerability using geographic information system.

作者信息

Chan Shiau Wei, Abid Sheikh Kamran, Sulaiman Noralfishah, Nazir Umber, Azam Kamran

机构信息

Faculty of Technology Management and Business (FPTP), Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia.

Faculty of Social & Administrative Science, Department of Management Sciences, The University of Haripur, Hattar Road Near Swat Chowk Haripur, Khyber Pakhtunkhwa, Pakistan.

出版信息

Heliyon. 2022 Mar 8;8(3):e09075. doi: 10.1016/j.heliyon.2022.e09075. eCollection 2022 Mar.

DOI:10.1016/j.heliyon.2022.e09075
PMID:35284686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8914095/
Abstract

The world has faced many disasters in recent years, but flood impacts have gained immense importance and attention due to their adverse effects. More than half of global flood destruction and damages occur in the Asia region, which causes losses of life, damage infrastructure, and creates panic conditions among the communities. To provide a better understanding of flood hazard management, flood vulnerability assessment is the primary objective. In this case, vulnerability is the central construct in flood analysis and assessment. Many researchers have defined different approaches and methods to understand vulnerability assessment and how geographic information systems assess the flood vulnerability and their associated risk. Geographic information systems track and predict the disaster trend and mitigate the risk and damages. This study systematically reviews the methodologies used to measure floods and their vulnerabilities by integrating geographic information system. Articles on flood vulnerability from 2010 to 2020 were selected and reviewed. Through the systematic review methodology of five research engines, the researchers discovered a difference in flood vulnerability assessment tools and techniques that can be bridged by integrating high-resolution data with a multidimensional vulnerability methodology. The study reviewed several vulnerability components and directly examined the shortcomings in flood vulnerability approaches at different levels. The research contributed that the indicator-based approach gives a better understanding of vulnerability assessment. The geographic information system provides an effective environment for mapping and precise analysis to mitigate the flood disaster

摘要

近年来,世界面临着许多灾难,但由于洪水的不利影响,其影响已变得极为重要并受到关注。全球一半以上的洪水破坏和损失发生在亚洲地区,这导致人员伤亡、基础设施受损,并在社区中引发恐慌。为了更好地理解洪水灾害管理,洪水脆弱性评估是首要目标。在这种情况下,脆弱性是洪水分析和评估的核心要素。许多研究人员已经定义了不同的方法来理解脆弱性评估,以及地理信息系统如何评估洪水脆弱性及其相关风险。地理信息系统可以跟踪和预测灾害趋势,并降低风险和损失。本研究通过整合地理信息系统,系统地回顾了用于测量洪水及其脆弱性的方法。选取并回顾了2010年至2020年期间关于洪水脆弱性的文章。通过五个研究引擎的系统回顾方法,研究人员发现了洪水脆弱性评估工具和技术上的差异,通过将高分辨率数据与多维脆弱性方法相结合可以弥合这些差异。该研究回顾了几个脆弱性组成部分,并直接审视了不同层面洪水脆弱性方法的不足之处。研究表明基于指标的方法能更好地理解脆弱性评估。地理信息系统为绘制地图和精确分析提供了一个有效的环境,以减轻洪水灾害。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c441/8914095/fdf1b28ce91c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c441/8914095/0eb8145291d4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c441/8914095/34e595aec34b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c441/8914095/fdf1b28ce91c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c441/8914095/0eb8145291d4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c441/8914095/34e595aec34b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c441/8914095/fdf1b28ce91c/gr3.jpg

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