Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages: A Case Study of Huaibei Plain, China

Yanqi Wei; Juliang Jin; Haichao Li; Yuliang Zhou; Yi Cui; Nii Amarquaye Commey; Yuliang Zhang; Shangming Jiang

doi:10.1007/s13753-023-00479-w

Volume 14 Issue 2

Apr. 2023

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Yanqi Wei, Juliang Jin, Haichao Li, Yuliang Zhou, Yi Cui, Nii Amarquaye Commey, Yuliang Zhang, Shangming Jiang. Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages: A Case Study of Huaibei Plain, China[J]. International Journal of Disaster Risk Science, 2023, 14(2): 209-222. doi: 10.1007/s13753-023-00479-w

Citation:

Yanqi Wei, Juliang Jin, Haichao Li, Yuliang Zhou, Yi Cui, Nii Amarquaye Commey, Yuliang Zhang, Shangming Jiang. Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages: A Case Study of Huaibei Plain, China[J]. International Journal of Disaster Risk Science, 2023, 14(2): 209-222. doi: 10.1007/s13753-023-00479-w

Citation:

Yanqi Wei, Juliang Jin, Haichao Li, Yuliang Zhou, Yi Cui, Nii Amarquaye Commey, Yuliang Zhang, Shangming Jiang. Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages: A Case Study of Huaibei Plain, China[J]. International Journal of Disaster Risk Science, 2023, 14(2): 209-222. doi: 10.1007/s13753-023-00479-w

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Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages: A Case Study of Huaibei Plain, China

doi: 10.1007/s13753-023-00479-w

1. School of Energy and Power Engineering, Xihua University, Chengdu, 610039, China;
2. School of Civil Engineering, Hefei University of Technology, Hefei, 230009, China;
3. Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei, 230009, China;
4. State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China;
5. Interdisciplinary Centre for River Basin Environment, University of Yamanashi, Kofu, 400-8510, Japan;
6. Key Laboratory of Water Conservancy and Water Resources of Anhui Province, Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources, Hefei, 230088, China

Funds:

The authors would like to thank for the support of the Natural Science Foundation of Anhui Province (Grant no. 2208085US03), and the National Natural Science Foundation of China (Grant nos. U2240223, 52109009, 42271084).

Accepted Date: 2023-03-12

Available Online: 2023-04-28

Publish Date: 2023-04-04

Abstract

Abstract

Climate change can lead to and intensify drought disasters. Quantifying the vulnerability of disaster-affected elements is significant for understanding the mechanisms that transform drought intensity into eventual loss. This study proposed a growth-stage-based drought vulnerability index (GDVI) of soybean using meteorological, groundwater, land use, and field experiment data and crop growth model simulation. The CROPGRO-Soybean model was used to simulate crop growth and water deficit. Four growth stages were considered since the sensitivity of soybean to drought is strictly related to the growth stage. The GDVI was applied to the Huaibei Plain, Anhui Province, China, with the goal of quantifying the spatiotemporal characteristics of soybean drought vulnerability in typical years and growth stages. The results show that:(1) The sensitivity of leaf-related parameters exceeded that of other parameters during the vegetative growth stage, whereas the top weight and grain yield showed a higher sensitivity in the reproductive growth stage; (2) A semi-logarithmic law can describe the relationship between the drought sensitivity indicators and the GDVI during the four growth stages. The pod-filling phase is the most vulnerable stage for water deficit and with the highest loss upper limit (over 70%); (3) The 2001 and 2002 seasons were the driest time during 1997-2006. Fuyang and Huainan Cities were more vulnerable to drought than other regions on the Huaibei Plain in 2001, while Huaibei and Suzhou Cities were the most susceptible areas in 2002. The results could provide effective decision support for the categorization of areas vulnerable to droughts.
- Agricultural drought,
- Drought vulnerability,
- Huaibei plain,
- Soybean growth stages

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References(45)

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