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Sensitivity Assessment to the Occurrence of Different Types of Droughts Using GIS and AHP Techniques

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  • Abdol Rassoul Zarei

    (Fasa University)

  • Mohammad Mehdi Moghimi

    (Fasa University)

  • Elham Koohi

    (Fasa University)

Abstract

In this study, using Analytic Hierarchy Process (AHP) and Geographic Information System (GIS), the sensitivity to the occurrence of different types of droughts including meteorological drought (Med), hydrological drought (Hyd), and agricultural drought (Agd) were evaluated. In this research, at first, some of the effective indicators in each type of droughts were selected (four indicators in Med, three indicators in Hyd, and seven indicators in Agd), then using the ArcGIS 10.3 software, the sensitivity map of drought for each indicator were prepared (all indicators classified in four classes including mild, moderate, severe, and very severe). Then, using the AHP method the weight of each indicator in each type of droughts was determined and the final map of drought sensitivity for different types of droughts was prepared by superposition the maps of effective indicators in each drought. The final map of drought sensitivity was prepared by superposition the Med, Hyd, and Agd sensitivity maps (after determining the weight of each using AHP). In the Med, 43.29% of the study area (Fars province, Iran) was classified in the moderate class of drought sensitivity and 56.71% in the severe class. In the Hyd, 0.46%, 33.25%, 62.49%, and 3.80% of the study area were classified in the mild, moderate, severe, and very severe classes (respectively), and in the Agd, 1.18%, 50.23%, and 48.59% of the study area were classified in the mild, moderate, and severe classes. The results showed that in final drought sensitivity, the Med with a weight equal to 0.36 was the most effective variable, and based on the final map, 38.26% and 61.74% of the study area were classified in the moderate and severe classes of drought sensitivity.

Suggested Citation

  • Abdol Rassoul Zarei & Mohammad Mehdi Moghimi & Elham Koohi, 2021. "Sensitivity Assessment to the Occurrence of Different Types of Droughts Using GIS and AHP Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3593-3615, September.
  • Handle: RePEc:spr:waterr:v:35:y:2021:i:11:d:10.1007_s11269-021-02906-3
    DOI: 10.1007/s11269-021-02906-3
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    1. Dimitris Tigkas & Harris Vangelis & George Tsakiris, 2020. "Implementing Crop Evapotranspiration in RDI for Farm-Level Drought Evaluation and Adaptation under Climate Change Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4329-4343, November.
    2. Dai, Meng & Huang, Shengzhi & Huang, Qiang & Leng, Guoyong & Guo, Yi & Wang, Lu & Fang, Wei & Li, Pei & Zheng, Xudong, 2020. "Assessing agricultural drought risk and its dynamic evolution characteristics," Agricultural Water Management, Elsevier, vol. 231(C).
    3. Mu, Qing & Cai, Huanjie & Sun, Shikun & Wen, Shanshan & Xu, Jiatun & Dong, Mengqi & Saddique, Qaisar, 2021. "The physiological response of winter wheat under short-term drought conditions and the sensitivity of different indices to soil water changes," Agricultural Water Management, Elsevier, vol. 243(C).
    4. Zhu, Xiufang & Xu, Kun & Liu, Ying & Guo, Rui & Chen, Lingyi, 2021. "Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model," Agricultural Systems, Elsevier, vol. 189(C).
    5. G. Tsakiris & D. Pangalou & H. Vangelis, 2007. "Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 821-833, May.
    6. Abdol Rassoul Zarei & Mohammad Reza Mahmoudi, 2021. "Evaluation and Comparison of the Effectiveness Rate of the Various Meteorological Parameters on UNEP Aridity Index Using Backward Multiple Ridge Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 159-177, January.
    7. Joost Buurman & Du Duong Bui & Le Thuy Tien Du, 2020. "Drought risk assessment in Vietnamese communities using household survey information," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 36(1), pages 88-105, January.
    8. Israel R. Orimoloye & Johanes A. Belle & Adeyemi O. Olusola & Emmanuel T. Busayo & Olusola O. Ololade, 2021. "Spatial assessment of drought disasters, vulnerability, severity and water shortages: a potential drought disaster mitigation strategy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2735-2754, February.
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