Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha
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 m...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-01-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | http://dx.doi.org/10.1080/19475705.2020.1861114 |
| _version_ | 1818295091563855872 |
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| author | Sunil Saha Barnali Kundu Gopal Chandra Paul Kaustuv Mukherjee Biswajeet Pradhan Abhirup Dikshit Khairul Nizam Abdul Maulud Abdullah M. Alamri |
| author_facet | Sunil Saha Barnali Kundu Gopal Chandra Paul Kaustuv Mukherjee Biswajeet Pradhan Abhirup Dikshit Khairul Nizam Abdul Maulud Abdullah M. Alamri |
| author_sort | Sunil Saha |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T03:42:08Z |
| format | Article |
| id | doaj.art-97d05a41c4f4499f94a8bb276a8df202 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-12-13T03:42:08Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-97d05a41c4f4499f94a8bb276a8df2022022-12-22T00:00:55ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132021-01-0112112315310.1080/19475705.2020.18611141861114Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of OdishaSunil Saha0Barnali Kundu1Gopal Chandra Paul2Kaustuv Mukherjee3Biswajeet Pradhan4Abhirup Dikshit5Khairul Nizam Abdul Maulud6Abdullah M. Alamri7Department of Geography, University of Gour BangaDepartment of Geography, University of Gour BangaDepartment of Geography, University of Gour BangaDepartment of Geography, Chandidas MahavidyalayaCentre for Advanced Modeling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology SydneyCentre for Advanced Modeling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology SydneyEarth Observation Center, Institute of Climate Change, Universiti Kebangsaan Malaysia 43600 UKMDepartment of Geology and Geophysics, College of Science, King Saud UniversityDroughts 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.http://dx.doi.org/10.1080/19475705.2020.1861114drought vulnerabilityphysical drought vulnerabilitysocio-economic drought vulnerabilitygisfuzzy-ahpodisha |
| spellingShingle | Sunil Saha Barnali Kundu Gopal Chandra Paul Kaustuv Mukherjee Biswajeet Pradhan Abhirup Dikshit Khairul Nizam Abdul Maulud Abdullah M. Alamri Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha Geomatics, Natural Hazards & Risk drought vulnerability physical drought vulnerability socio-economic drought vulnerability gis fuzzy-ahp odisha |
| title | Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha |
| title_full | Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha |
| title_fullStr | Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha |
| title_full_unstemmed | Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha |
| title_short | Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha |
| title_sort | spatial assessment of drought vulnerability using fuzzy analytical hierarchical process a case study at the indian state of odisha |
| topic | drought vulnerability physical drought vulnerability socio-economic drought vulnerability gis fuzzy-ahp odisha |
| url | http://dx.doi.org/10.1080/19475705.2020.1861114 |
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