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Exploration of copula function use in crop meteorological drought risk analysis: a case study of winter wheat in Beijing, China

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  • Ying Li
  • Wei Gu
  • Weijia Cui
  • Zhiyun Chang
  • Yingjun Xu

Abstract

Many factors are involved in the occurrence of crop drought events, and some related studies have focused on the problems of multi-factor integration. Probability is the basis of disaster risk research, but the solver of multi-element integrated probability, commonly used in drought risk analysis, cannot solve the multi-factor nonlinear relationship. Therefore, new methods are needed to build the joint probability distribution of multi-element integration, and the use of the copula function is one approach that can better explain the combined effects of multi-factor equations. We extracted the sequence of meteorological drought events during the growth period of winter wheat in Beijing from 1952 to 2012 and selected the appropriate characterization of drought severity and duration. The copula function was used to build a joint distribution function and to calculate the return period of drought events. Based on the joint probability method, the joint return periods were calculated and resulting risk was analyzed. The joint return periods were close to reality, and they offer greater potential for improving high-level meteorological drought disaster mitigation, strategy planning, program design, and risk management. Using the joint probability and values of the featured variables, the joint return period under different conditions could be calculated easily. The contribution of the copula function in estimating the uncertainty of drought level risk can lay the foundation for a joint analysis of multi-factor crop meteorological disaster risk. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ying Li & Wei Gu & Weijia Cui & Zhiyun Chang & Yingjun Xu, 2015. "Exploration of copula function use in crop meteorological drought risk analysis: a case study of winter wheat in Beijing, 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. 77(2), pages 1289-1303, June.
    • Handle: RePEc:spr:nathaz:v:77:y:2015:i:2:p:1289-1303
    DOI: 10.1007/s11069-015-1649-2
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    References listed on IDEAS

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    1. S. Hochrainer-Stigler & N. Lugeri & M. Radziejewski, 2014. "Up-scaling of impact dependent loss distributions: a hybrid convolution approach for flood risk in Europe," 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. 70(2), pages 1437-1451, January.
    2. Bahram Saghafian & Hossein Mehdikhani, 2014. "Drought characterization using a new copula-based trivariate approach," 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. 72(3), pages 1391-1407, July.
    3. J. Shiau, 2006. "Fitting Drought Duration and Severity with Two-Dimensional Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 795-815, October.
    4. Christian Hering & Jan-Frederik Mai, 2012. "Moment-based estimation of extendible Marshall-Olkin copulas," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(5), pages 601-620, July.
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    Cited by:

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    3. Fatih Tosunoglu & Ibrahim Can, 2016. "Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey," 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. 82(3), pages 1457-1477, July.
    4. Raissa Zurli Bittencourt Bravo & Ana Paula Martins do Amaral Cunha & Adriana Leiras & Fernando Luiz Cyrino Oliveira, 2021. "A new approach for a drought composite index," 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. 108(1), pages 755-773, August.
    5. Liping Wang & Xingnan Zhang & Shufang Wang & Mohamed Khaled Salahou & Yuanhao Fang, 2020. "Analysis and Application of Drought Characteristics Based on Theory of Runs and Copulas in Yunnan, Southwest China," IJERPH, MDPI, vol. 17(13), pages 1-17, June.
    6. 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.
    7. Qian Li & Liutong Chen & Zhengtao Yan & Yingjun Xu, 2022. "Exploration of Copula Models Use in Risk Assessment for Freezing and Snow Events: A Case Study in Southern China," Sustainability, MDPI, vol. 14(5), pages 1-12, February.
    8. Mubenga-Tshitaka, Jean-Luc & Muteba Mwamba, John W. & Dikgang, Johane & Gelo, Dambala, 2021. "Risk spillover between climate variables and the agricultural commodity market in East Africa," EconStor Preprints 243160, ZBW - Leibniz Information Centre for Economics.
    9. Xiao Liu & Ping Guo & Qian Tan & Fan Zhang & Yan Huang & Youzhi Wang, 2021. "Drought disaster risk management based on optimal allocation of water resources," 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. 108(1), pages 285-308, August.

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