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Dynamic variation of meteorological drought and its relationships with agricultural drought across China

Author

Listed:
  • Wang, Fei
  • Lai, Hexin
  • Li, Yanbin
  • Feng, Kai
  • Zhang, Zezhong
  • Tian, Qingqing
  • Zhu, Xiaomeng
  • Yang, Haibo

Abstract

Under the background of climate warming, the global water cycle is gradually accelerating, which will lead to increased drought frequency and severity. China is one of the countries with the highest drought risk and the most serious drought impact, accompanied by abnormal and variable drought characteristics in recent decades. However, the dynamic variation of meteorological drought and its complicated relationships with agricultural drought are still unclear across China. In this study, the characteristics of meteorological drought were comprehensively identified across China during 1960–2019. The spatio-temporal variations and gridded trend characteristics of meteorological drought were revealed during the study period. Subsequently, the return period of meteorological drought was quantitatively determined based on copula models. Finally, the relationships between meteorological and agricultural drought were explicitly clarified. The results indicated that: (1) meteorological drought showed an increasing trend across China from 1960 to 2019, especially since the 1990s; (2) the most serious meteorological drought occurred in 2011, with a minimum standardized precipitation evapotranspiration index (SPEI) value of –0.81; (3) the percentage of drought area (PDA) with an increasing trend in spring, summer, autumn and winter was 85.8%, 77.4%, 97.7% and 12.9%, respectively; (4) the most appropriate copula model of meteorological drought severity and duration was Frank copula; and (5) the propagation time from meteorological to agricultural drought was longer in winter and shorter in summer, which can determine the appropriate irrigation period and predict the occurrence of agricultural drought. This study sheds new viewpoints into the identification of meteorological drought variation and its relationships with agricultural drought, which can also be applied in other areas.

Suggested Citation

  • Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    • Handle: RePEc:eee:agiwat:v:261:y:2022:i:c:s0378377421005783
    DOI: 10.1016/j.agwat.2021.107301
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    1. Ying Sun & Xuebin Zhang & Guoyu Ren & Francis W. Zwiers & Ting Hu, 2016. "Contribution of urbanization to warming in China," Nature Climate Change, Nature, vol. 6(7), pages 706-709, July.
    2. Zuo, Depeng & Cai, Siyang & Xu, Zongxue & Peng, Dingzhi & Kan, Guangyuan & Sun, Wenchao & Pang, Bo & Yang, Hong, 2019. "Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data," Agricultural Water Management, Elsevier, vol. 222(C), pages 125-138.
    3. Daniel E. Horton & Nathaniel C. Johnson & Deepti Singh & Daniel L. Swain & Bala Rajaratnam & Noah S. Diffenbaugh, 2015. "Contribution of changes in atmospheric circulation patterns to extreme temperature trends," Nature, Nature, vol. 522(7557), pages 465-469, June.
    4. Hyedeuk Bae & Heesook Ji & Yoon-Jin Lim & Young Ryu & Moon-Hyun Kim & Baek-Jo Kim, 2019. "Characteristics of drought propagation in South Korea: relationship between meteorological, agricultural, and hydrological droughts," 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. 99(1), pages 1-16, October.
    5. Ding, Yibo & Gong, Xinglong & Xing, Zhenxiang & Cai, Huanjie & Zhou, Zhaoqiang & Zhang, Doudou & Sun, Peng & Shi, Haiyun, 2021. "Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China," Agricultural Water Management, Elsevier, vol. 255(C).
    6. Aiguo Dai, 2011. "Drought under global warming: a review," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(1), pages 45-65, January.
    7. Xu, Yang & Zhang, Xuan & Hao, Zengchao & Hao, Fanghua & Li, Chong, 2021. "Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective," Agricultural Water Management, Elsevier, vol. 252(C).
    8. Huang, Shengzhi & Wang, Lu & Wang, Hao & Huang, Qiang & Leng, Guoyong & Fang, Wei & Zhang, Ying, 2019. "Spatio-temporal characteristics of drought structure across China using an integrated drought index," Agricultural Water Management, Elsevier, vol. 218(C), pages 182-192.
    9. Huang, Shengzhi & Huang, Qiang & Chang, Jianxia & Leng, Guoyong & Xing, Li, 2015. "The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 45-54.
    10. Yang, Shihong & Xu, Junzeng & Liu, Xiaoyin & Zhang, Jiangang & Wang, Yijiang, 2016. "Variations of carbon dioxide exchange in paddy field ecosystem under water-saving irrigation in Southeast China," Agricultural Water Management, Elsevier, vol. 166(C), pages 42-52.
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