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Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha
Geomatics, Natural Hazards and Risk ( IF 4.2 ) Pub Date : 2021-01-05 , DOI: 10.1080/19475705.2020.1861114
Sunil Saha 1 , Barnali Kundu 1 , Gopal Chandra Paul 1 , Kaustuv Mukherjee 2 , Biswajeet Pradhan 3, 4, 5 , Abhirup Dikshit 3 , Khairul Nizam Abdul Maulud 5, 6 , Abdullah M. Alamri 7
Affiliation  

Abstract

Droughts can be regarded as one of the most spatially complex geohazards, causing a severe impact on socio-economic aspects. Preparing a comprehensive drought management plan is necessary to mitigate drought risks, and the first step towards achieving it is the preparation of drought vulnerability map. The present study integrates geospatial methods with Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) technique, to prepare a drought vulnerability map for Odisha, India. Total of 24 parameters under 2 separate vulnerability categories, namely physical and socio-economic, was listed. Spatial layers were prepared for each parameter, and fuzzy membership approach was used to fuzzify each layer, and AHP was used to measure the weights of each parameter using pair-wise comparison matrices. Finally, drought vulnerability maps with five drought vulnerability classes (very-high, high, moderate, low, and very-low) were developed using weighted overlay method. The results show that 33.94% of the region falls under high-drought vulnerability category. Further, the approach was validated using statistical metrics, like area under the Receiver Operating Characteristics curves, Accuracy, Root-Mean-Square-Error and Mean-Absolute-Error. The results imply that the applied method is effective for determining drought vulnerability in the region, which would help the planners for formulating drought mitigation strategies.



中文翻译:

基于模糊层次分析法的干旱脆弱性空间评价:以印度奥里萨邦为例

摘要

干旱被认为是空间上最复杂的地质灾害之一,对社会经济方面造成了严重影响。制定全面的干旱管理计划对于减轻干旱风险是必要的,实现该计划的第一步是准备干旱脆弱性图。本研究将地理空间方法与模糊层次分析法(Fuzzy-AHP)相结合,为印度奥里萨邦准备了干旱脆弱性图。在2个不同的脆弱性类别(即物理和社会经济)下总共列出了24个参数。为每个参数准备了空间层,并使用模糊隶属度方法对每个层进行模糊处理,并使用AHP使用成对比较矩阵来测量每个参数的权重。最后,使用加权叠加方法绘制了具有五个干旱脆弱性类别(非常高,高,中等,低和非常低)的干旱脆弱性图。结果表明,该地区33.94%属于高干旱脆弱性类别。此外,该方法已使用统计指标进行了验证,例如接收器工作特性曲线下的面积,准确性,均方根误差和均值绝对误差。结果表明,所应用的方法对于确定该地区的干旱脆弱性是有效的,这将有助于规划者制定干旱缓解策略。该方法已使用统计指标进行了验证,例如接收器工作特性曲线下的面积,准确性,均方根误差和绝对绝对误差。结果表明,所应用的方法对于确定该地区的干旱脆弱性是有效的,这将有助于规划者制定干旱缓解策略。该方法已使用统计指标进行了验证,例如接收器工作特性曲线下的面积,准确性,均方根误差和绝对绝对误差。结果表明,所采用的方法对于确定该地区的干旱脆弱性是有效的,这将有助于规划者制定减轻干旱的战略。

更新日期:2021-01-06
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