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A New Agricultural Drought Disaster Risk Assessment Framework: Coupled a Copula Function to Select Return Periods and the Jensen Model to Calculate Yield Loss

Author

Listed:
  • Hongjun Lei

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Jie Yu

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Hongwei Pan

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Jie Li

    (China Machinery Industry International Cooperation Co., Ltd., Zhengzhou 450018, China)

  • Shah Jahan Leghari

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China)

  • Chongju Shang

    (Guizhou Water Conservancy Research Institute, Guiyang 550002, China)

  • Zheyuan Xiao

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Cuicui Jin

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Lili Shi

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

China is one of the regions with the most frequent drought disasters and serious social and economic losses. Agricultural drought is the most serious natural disaster. Due to climate change, the regional agricultural drought risk assessment has always been the focus of the academic circle. This study takes Zunyi City as an example, which is the most typical city of karst landform development. The monthly precipitation data set of ground meteorological observation stations in Zunyi City from 1956 to 2020 was selected, and the drought characteristic variables were extracted by the coupled use of the precipitation anomaly percentage ( Pa ) index and the theory of runs. A copula function was applied to establish the joint distribution model of characteristic variables, obtaining the drought frequency and drought return periods. Combined with the Jensen model, the agricultural drought loss rate under different drought return periods in the target year (2020) was calculated and evaluated. The results showed that the Gumbel-Hougaard copula function was suitable for the joint distribution of drought joint variables in Zunyi City. From 1956 to 2020, fewer droughts occurred in Zhengan and Wuchuan, and the most droughts took place in Fenggang, Meitan, and Yuqing. The average drought duration in each county was about 1.5 months, and the average drought severity was about 0.35 in spatial distribution. Crop loss rate caused by drought increased and the affected area expanded with the increase of drought return periods (5, 10, 20, 50, and 100 years) in temporal distribution. Meanwhile, the drought disaster was most drastic in the eastern region, followed by the south, north, west, and central area. The results were highly consistent with the historical drought in Zunyi City, which verified the validity of the model. This study could provide scientific knowledge for drought resistance and reasonable mitigation programing for the security of the regional agricultural production and the sustainability of social and economic development.

Suggested Citation

  • Hongjun Lei & Jie Yu & Hongwei Pan & Jie Li & Shah Jahan Leghari & Chongju Shang & Zheyuan Xiao & Cuicui Jin & Lili Shi, 2023. "A New Agricultural Drought Disaster Risk Assessment Framework: Coupled a Copula Function to Select Return Periods and the Jensen Model to Calculate Yield Loss," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3786-:d:1073414
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    References listed on IDEAS

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    1. Schmitt, Jonas & Offermann, Frank & Söder, Mareike & Frühauf, Cathleen & Finger, Robert, 2022. "Extreme weather events cause significant crop yield losses at the farm level in German agriculture," Food Policy, Elsevier, vol. 112(C).
    2. Rina Wu & Jiquan Zhang & Yuhai Bao & Enliang Guo, 2019. "Run Theory and Copula-Based Drought Risk Analysis for Songnen Grassland in Northeastern China," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    3. Nakabuye, Hope Njuki & Rudnick, Daran & DeJonge, Kendall C. & Lo, Tsz Him & Heeren, Derek & Qiao, Xin & Franz, Trenton E. & Katimbo, Abia & Duan, Jiaming, 2022. "Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment," Agricultural Water Management, Elsevier, vol. 274(C).
    4. Xiaojing Liu & Jiquan Zhang & Donglai Ma & Yulong Bao & Zhijun Tong & Xingpeng Liu, 2013. "Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, 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. 65(3), pages 1393-1409, February.
    5. Poulomi Ganguli & M. Reddy, 2012. "Risk Assessment of Droughts in Gujarat Using Bivariate Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3301-3327, September.
    6. Jinyu Zhang & Kang Gao & Yong Li & Qiaosen Zhang, 2022. "Maximum Likelihood Estimation Methods for Copula Models," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 99-124, June.
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    2. Xiaodi Fu & Xiaoyan He & Liuqian Ding, 2023. "Stochastic Flood Simulation Method Combining Flood Intensity and Morphological Indicators," Sustainability, MDPI, vol. 15(18), pages 1-25, September.

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