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Assessment of agricultural drought loss using a skewed grey cloud ordered clustering model

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  • Dongxing Zhang

    (North China University of Water Resources and Electric Power)

  • Dang Luo

    (North China University of Water Resources and Electric Power
    North China University of Water Resources and Electric Power)

Abstract

A skewed grey cloud ordered clustering model is proposed to overcome the problem that the existing grey clustering assessment results are inconsistent with objective reality due to the greyness, fuzziness, and randomness of information in the process of agricultural drought loss assessment. The skewed grey cloud model is built by split-combination possibility function, which is based on the normal grey cloud model. The grey cloud constraint interval is solved using the outer envelope curve and expectation curve of the skewed grey cloud, and the classification weight of the index is derived using the Gini coefficient. Then, the grey cloud constraint interval and the weight coefficient of comprehensive decision measure are combined to establish the ordered clustering criterion of skewed grey cloud. The degree of agricultural drought loss in Henan Province is examined from 2006 to 2019, and the assessment results are compared to those of the grey clustering model, normal grey cloud clustering model and comprehensive index method. The results reveal that the skewed grey cloud model’s evaluation results are more in line with the actual scenario of agricultural drought in Henan Province, showing the model’s applicability and usefulness.

Suggested Citation

  • Dongxing Zhang & Dang Luo, 2022. "Assessment of agricultural drought loss using a skewed grey cloud ordered clustering model," 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. 114(3), pages 2787-2810, December.
    • Handle: RePEc:spr:nathaz:v:114:y:2022:i:3:d:10.1007_s11069-022-05491-9
    DOI: 10.1007/s11069-022-05491-9
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    References listed on IDEAS

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    1. Juan Quijano & Miguel Jaimes & Marco Torres & Eduardo Reinoso & Luisarturo Castellanos & Jesús Escamilla & Mario Ordaz, 2015. "Event-based approach for probabilistic agricultural drought risk assessment under rainfed conditions," 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. 76(2), pages 1297-1318, March.
    2. Wei Pei & Cuizhu Tian & Qiang Fu & Yongtai Ren & Tianxiao Li, 2022. "Risk analysis and influencing factors of drought and flood disasters in China," 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. 110(3), pages 1599-1620, February.
    3. Ribeiro, Andreia F.S. & Russo, Ana & Gouveia, Célia M. & Páscoa, Patrícia, 2019. "Copula-based agricultural drought risk of rainfed cropping systems," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    4. Watinee Thavorntam & Netnapid Tantemsapya & Leisa Armstrong, 2015. "A combination of meteorological and satellite-based drought indices in a better drought assessment and forecasting in Northeast Thailand," 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. 77(3), pages 1453-1474, July.
    5. Qi Zhang & Jiquan Zhang & Denghua Yan & Yulong Bao, 2013. "Dynamic risk prediction based on discriminant analysis for maize drought disaster," 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. 65(3), pages 1275-1284, February.
    6. Zuliqar Ali & Ijaz Hussain & Muhammad Faisal & Hafiza Mamona Nazir & Mitwali Abd-el Moemen & Tajammal Hussain & Sadaf Shamsuddin, 2017. "A Novel Multi-Scalar Drought Index for Monitoring Drought: the Standardized Precipitation Temperature Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4957-4969, December.
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