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The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China

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  • Huang, Shengzhi
  • Huang, Qiang
  • Chang, Jianxia
  • Leng, Guoyong
  • Xing, Li

Abstract

It is of importance to investigate the response of agricultural drought to meteorological drought and its influencing factors, which could help better understand drought evolution mechanisms and facilitate agricultural drought monitoring and predictions. As a case study in the Wei River Basin (WRB), China, the heuristic segmentation method was first applied to identify change points of long-term hydrological and metrological conditions for the period of 1960–2007. Then the cross wavelet analysis was utilized to reveal the detailed links between agricultural drought (based on Palmer Drought Severity Index (PDSI)) and meteorological drought (based on Standardized Precipitation Index (SPI)) at the seasonal time scale. The controlling factors governing the agricultural response were then explored through quantitatively examining the corresponding large-scale atmospheric conditions and local-scale land surface characteristics. Results indicate that: (1) the variations of the lag time of agricultural drought in response to meteorological drought is large at the seasonal scale, characterized by fast response in summer and relatively slow response in autumn, and the contrasting response in the time lag is mainly due to the buffering effects of soils; (2) the variations of Arctic Oscillation (AO) was found to have large effects on the lag time, with both positive and negative effects; (3) a negative correlation between the lag time and the parameter w in the Fu’ equation within the Budyko framework was found, implying the potential effects of vegetation cover on the drought propagation from meteorological drought to agricultural drought in the WRB.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:159:y:2015:i:c:p:45-54
    DOI: 10.1016/j.agwat.2015.05.023
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    References listed on IDEAS

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    1. Shengzhi Huang & Jianxia Chang & Qiang Huang & Yutong Chen, 2014. "Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3095-3110, August.
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    2. Cai, Siyang & Zuo, Depeng & Wang, Huixiao & Xu, Zongxue & Wang, GuoQing & Yang, Hong, 2023. "Assessment of agricultural drought based on multi-source remote sensing data in a major grain producing area of Northwest China," Agricultural Water Management, Elsevier, vol. 278(C).
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    4. Ruqing Zhang & Lu Li & Ye Zhang & Feini Huang & Jianduo Li & Wei Liu & Taoning Mao & Zili Xiong & Wei Shangguan, 2021. "Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China," Agriculture, MDPI, vol. 11(5), pages 1-19, May.
    5. Małgorzata Biniak-Pieróg & Mieczysław Chalfen & Andrzej Żyromski & Andrzej Doroszewski & Tomasz Jóźwicki, 2020. "The Soil Moisture during Dry Spells Model and Its Verification," Resources, MDPI, vol. 9(7), pages 1-27, July.
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    7. 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).
    8. Fawen, Li & Manjing, Zhang & Yong, Zhao & Rengui, Jiang, 2023. "Influence of irrigation and groundwater on the propagation of meteorological drought to agricultural drought," Agricultural Water Management, Elsevier, vol. 277(C).
    9. Zhang, Yu & Hao, Zengchao & Feng, Sifang & Zhang, Xuan & Xu, Yang & Hao, Fanghua, 2021. "Agricultural drought prediction in China based on drought propagation and large-scale drivers," Agricultural Water Management, Elsevier, vol. 255(C).
    10. 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).
    11. 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).
    12. Chong Du & Jiashuo Chen & Tangzhe Nie & Changlei Dai, 2022. "Spatial–temporal changes in meteorological and agricultural droughts in Northeast China: change patterns, response relationships and causes," 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(1), pages 155-173, January.
    13. Muhammad Nouman Sattar & Jin-Young Lee & Ji-Yae Shin & Tae-Woong Kim, 2019. "Probabilistic Characteristics of Drought Propagation from Meteorological to Hydrological Drought in South Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2439-2452, May.

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