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

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  • 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.

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  • 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. Yining Ma & Suri Guga & Jie Xu & Jiquan Zhang & Zhijun Tong & Xingpeng Liu, 2021. "Comprehensive Risk Assessment of High Temperature Disaster to Kiwifruit in Shaanxi Province, China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
    2. Li, Ziyue & Zhang, Zhao & Zhang, Lingyan, 2021. "Improving regional wheat drought risk assessment for insurance application by integrating scenario-driven crop model, machine learning, and satellite data," Agricultural Systems, Elsevier, vol. 191(C).
    3. Cao, Meng & Chen, Min & Liu, Ji & Liu, Yanli, 2022. "Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain," Agricultural Water Management, Elsevier, vol. 263(C).
    4. Villani, Lorenzo & Castelli, Giulio & Piemontese, Luigi & Penna, Daniele & Bresci, Elena, 2022. "Drought risk assessment in Mediterranean agricultural watersheds: A case study in Central Italy," Agricultural Water Management, Elsevier, vol. 271(C).
    5. Guo, Ying & Lu, Xiaoling & Zhang, Jiquan & Li, Kaiwei & Wang, Rui & Rong, Guangzhi & Liu, Xingpeng & Tong, Zhijun, 2022. "Joint analysis of drought and heat events during maize (Zea mays L.) growth periods using copula and cloud models: A case study of Songliao Plain," Agricultural Water Management, Elsevier, vol. 259(C).
    6. Huang, Chao & Gao, Yang & Qin, Anzhen & Liu, Zugui & Zhao, Ben & Ning, Dongfeng & Ma, Shoutian & Duan, Aiwang & Liu, Zhandong, 2022. "Effects of waterlogging at different stages and durations on maize growth and grain yields," Agricultural Water Management, Elsevier, vol. 261(C).
    7. Wei Pei & Qiang Fu & Dong Liu & Tianxiao Li & Kun Cheng & Song Cui, 2019. "A Novel Method for Agricultural Drought Risk Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2033-2047, April.
    8. Sezen, S. Metin & Yucel, Seral & Tekin, Servet & Yıldız, Mehmet, 2019. "Determination of optimum irrigation and effect of deficit irrigation strategies on yield and disease rate of peanut irrigated with drip system in Eastern Mediterranean," Agricultural Water Management, Elsevier, vol. 221(C), pages 211-219.
    9. Yingchao Wang & Ning Zhao & Hongwen Jing & Bo Meng & Xin Yin, 2016. "A Novel Model of the Ideal Point Method Coupled with Objective and Subjective Weighting Method for Evaluation of Surrounding Rock Stability," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, December.
    10. Reddy, C. Raghava & Reddy, S. Rami, 1993. "Scheduling irrigation for peanuts with variable amounts of available water," Agricultural Water Management, Elsevier, vol. 23(1), pages 1-9, March.
    11. Chen, Xinguo & Li, Yi & Yao, Ning & Liu, De Li & Javed, Tehseen & Liu, Chuncheng & Liu, Fenggui, 2020. "Impacts of multi-timescale SPEI and SMDI variations on winter wheat yields," Agricultural Systems, Elsevier, vol. 185(C).
    12. Veisi, Hadi & Deihimfard, Reza & Shahmohammadi, Alireza & Hydarzadeh, Yasoub, 2022. "Application of the analytic hierarchy process (AHP) in a multi-criteria selection of agricultural irrigation systems," Agricultural Water Management, Elsevier, vol. 267(C).
    13. Huang, Chao & Zhang, Weiqiang & Wang, Hui & Gao, Yang & Ma, Shoutian & Qin, Anzhen & Liu, Zugui & Zhao, Ben & Ning, Dongfeng & Zheng, Hongjian & Liu, Zhandong, 2022. "Effects of waterlogging at different stages on growth and ear quality of waxy maize," Agricultural Water Management, Elsevier, vol. 266(C).
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    1. 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.

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