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利用层次分析法(AHP)和地理信息系统(GIS)确定奥里萨邦布拉马普特拉沿海地区的脆弱带,并与多次气旋进行验证。

Determination of vulnerable zones along Brahmapur coast, Odisha using AHP and GIS with validation against multiple cyclones.

机构信息

National Centre for Sustainable Coastal Management (NCSCM), MoEF& CC, Anna University Campus, Chennai, India.

出版信息

Environ Monit Assess. 2022 Mar 15;194(4):278. doi: 10.1007/s10661-022-09886-w.

Abstract

The Brahmapur is the southernmost sub-division of Ganjam district of the Odisha coast frequently prone to cyclones. This coastal stretch is one of the low-lying areas of Odisha with dense population. Recent severe cyclones such as Phailin and Titli crossed the considered coastal stretch in 2013 and 2018 respectively causing severe damages to life and property. Identification of the coastal vulnerability index of such low lying areas is vital to plan effective mitigation measures and better preparedness to hazards. In this view, the Coastal Vulnerability Index (CVI) of the coastal stretch was attempted in the present study using analytical hierarchical process (AHP). The Physical Vulnerability Index (PVI) and Social Vulnerability Index (SVI) were integrated to obtain the Coastal Vulnerability Index. The approach of the study included pair-wise ranking of parameters based on their relevance and importance to the objective of the study. The CVI assessment indicated 22.2% of the coastal stretch with very high risk, 44.5% with high and 24.4% with moderate risk stretches with discontinuous small stretches of 9% with low-risk areas. The outcome of the study was validated with the cyclone crossing tracks of Phailin and Titli which exhibited good correlation with the CVI zones identified from the study. The determined vulnerable zones are useful for mitigation measures and better preparedness during such cyclone hazards in future. Advance techniques of Remote Sensing and Geographic Information System (GIS) integrated spatially with AHP derived data were used in the present study.

摘要

布拉马普尔是奥里萨邦沿海贡贾姆区最南端的分区,经常容易受到旋风的影响。这段沿海地带是奥里萨邦地势较低的地区之一,人口密集。最近的严重旋风,如“法林”和“蒂特利”,分别于 2013 年和 2018 年经过了这段考虑中的沿海地带,对生命和财产造成了严重破坏。确定这些地势低洼地区的沿海脆弱性指数对于规划有效的缓解措施和更好地应对灾害至关重要。基于这一观点,本研究试图利用层次分析法(AHP)来评估该沿海地带的沿海脆弱性指数(CVI)。将物理脆弱性指数(PVI)和社会脆弱性指数(SVI)进行整合,以获得沿海脆弱性指数。研究方法包括根据参数与研究目标的相关性和重要性进行两两排名。CVI 评估表明,该沿海地带的 22.2%为极高风险区,44.5%为高风险区,24.4%为中风险区,而风险较低的地区仅占 9%,且呈不连续的小块分布。本研究还验证了研究结果与“法林”和“蒂特利”旋风穿越轨迹的相关性,这与从研究中确定的 CVI 区具有良好的相关性。确定的脆弱区域有助于在未来的旋风灾害中采取缓解措施和更好地做好准备。本研究还结合 AHP 衍生数据,利用遥感和地理信息系统(GIS)等先进技术进行了空间分析。

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