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Dynamic risk assessment of waterlogging disaster to spring peanut (Arachis hypogaea L.) in Henan Province, China

Author

Listed:
  • Liu, Cong
  • Li, Kaiwei
  • Zhang, Jiquan
  • Guga, Suri
  • Wang, Rui
  • Liu, Xingpeng
  • Tong, Zhijun

Abstract

In recent years, global warming has led to frequent waterlogging disaster (WLD), hindering the normal growth and development of crops, affecting the sustainable development of the peanut industry and food security in China. Henan Province, the main peanut-producing area with frequent WLD, was selected as the study area. Based on the soil-crop-atmosphere continuum system, this study constructed a comprehensive waterlogging index (CWI) to monitor waterlogging events. To determine the applicability of CWI, the standardized precipitation evapotranspiration index (SPEI) was calculated. A risk assessment model was constructed to evaluate the hazards of WLD during the different stages of development of spring peanut. The water stress at different growth stages of peanut on crucial physiological indices were studied to determine the natural vulnerability curve of WLD. As a consequence, based on the “Four-Factor” theory of disaster formation, this study established a dynamic WLD assessment model for peanut and evaluated the comprehensive risk of WLD in Henan from 1990 to 2020. The results indicated that the CWI is capable of accurately identifying waterlogging events and peanut responded significantly differently to water stress; the longer the duration of stress in the late growth period (LGP), the higher was the rate of yield reduction. The comprehensive risk of WLD to peanut rose from north to south during the three growth periods. During the LGP, high-risk regions constituted approximately 34.3% of the total population. This study provides a scientific basis and technical support for better exploration of peanut growth under waterlogging stress to manage and reduce the risk of WLD.

Suggested Citation

  • Liu, Cong & Li, Kaiwei & Zhang, Jiquan & Guga, Suri & Wang, Rui & Liu, Xingpeng & Tong, Zhijun, 2023. "Dynamic risk assessment of waterlogging disaster to spring peanut (Arachis hypogaea L.) in Henan Province, China," Agricultural Water Management, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:agiwat:v:277:y:2023:i:c:s0378377422006412
    DOI: 10.1016/j.agwat.2022.108094
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    References listed on IDEAS

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    1. Zhi, Feng & Zhang, Jiquan & Bao, Yuhai & Bao, Yulong & Dong, Zhenhua & Tong, Zhijun & Liu, Xingpeng, 2024. "Assessment of waterlogging hazard during maize growth stage in the Songliao plain based on daily scale SPEI and SMAI," Agricultural Water Management, Elsevier, vol. 304(C).
    2. Yuxin Tao & Hao Wu & Yitong Wang, 2023. "Rapid Urbanization Increased the Risk of Agricultural Waterlogging in the Huaibei Plain, China," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    3. Rong, Tang & Long, Qian & Chunyu, Dong & Hui, Wang, 2025. "Integrating the stress day index and an agrometeorological index to evaluate major crop waterlogging events: A cotton case study in the Middle-Lower Yangtze River," Agricultural Water Management, Elsevier, vol. 317(C).
    4. Cui, Yi & Zhou, Yuliang & Jin, Juliang & Jiang, Shangming & Wu, Chengguo & Ning, Shaowei, 2023. "Spatiotemporal characteristics and obstacle factors identification of agricultural drought disaster risk: A case study across Anhui Province, China," Agricultural Water Management, Elsevier, vol. 289(C).

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