Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model
Increasing the upper limit of rainfall storage to enhance rainfall utilization is an important approach for conserving irrigation water in rice production while also avoiding yield losses caused by excessive flooding depth and prolonged inundation. However, traditional static water level control met...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-07-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425002835 |
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| author | En Lin Rangjian Qiu Xinxin Li Mengting Chen Shizong Zheng Fei Ren Xiaoming Xiang Chenglong Ji Yuanlai Cui Yufeng Luo |
| author_facet | En Lin Rangjian Qiu Xinxin Li Mengting Chen Shizong Zheng Fei Ren Xiaoming Xiang Chenglong Ji Yuanlai Cui Yufeng Luo |
| author_sort | En Lin |
| collection | DOAJ |
| description | Increasing the upper limit of rainfall storage to enhance rainfall utilization is an important approach for conserving irrigation water in rice production while also avoiding yield losses caused by excessive flooding depth and prolonged inundation. However, traditional static water level control methods, which apply fixed storage limits at different growth stages, often fail to align with the dynamic nature of rainfall and crop water demand, leading to inefficiencies and increased waterlogging risk. This study proposed a dynamic rainfall storage control strategy based on 1–7-day weather forecasts. To evaluate its effectiveness, the AquaCrop model was modified by incorporating a waterlogging stress coefficient, resulting in the ACOP-FRice model. The model accurately simulated rice yield under various waterlogging conditions and demonstrated strong stability across growth stages. During the validation period, the late tillering stage showed the best performance of yield simulation accuracy, with a normalized root mean square error (NRMSE) of 7.39 %, and both the coefficient of determination (R2) and nash-sutcliffe efficiency (NSE) coefficient values reaching 0.83. Although the heading–flowering stage was the most sensitive to flooding, the model still achieved reasonable accuracy, with an NRMSE of 11.61 % and R² and NSE values of 0.81, indicating its ability to capture yield variations under complex stress conditions. Compared to static control, the dynamic strategies HP1, HP2, and HP3 increased rainfall use efficiency by 10.90–17.84 % and reduced drainage by 3.90–19.30 % for early rice, 3.10–12.00 % for mid-season rice, and 21.91–25.44 % for late rice. Yield losses across all scenarios remained below 3.00 %, confirming the strategy’s potential to optimize water management while minimizing adverse impacts on yield. |
| format | Article |
| id | doaj-art-ef1e8d1d391f4ae9b9b5a6c3bbd23799 |
| institution | DOAJ |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-ef1e8d1d391f4ae9b9b5a6c3bbd237992025-08-20T03:21:51ZengElsevierAgricultural Water Management1873-22832025-07-0131610956910.1016/j.agwat.2025.109569Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop modelEn Lin0Rangjian Qiu1Xinxin Li2Mengting Chen3Shizong Zheng4Fei Ren5Xiaoming Xiang6Chenglong Ji7Yuanlai Cui8Yufeng Luo9State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, ChinaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, China; Corresponding authors.Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, Henan 450046, ChinaGuangdong Research Institute of Water Resources and Hydropower, Guangzhou, Guangdong 510610, ChinaRural Water Conservancy Research Institute, Zhejiang Institute of Hydraulics and Estuary, Hangzhou, Zhejiang 310020, ChinaChina Mobile Internet of Things Co., Ltd., Nan’an District, Chongqing 401336, ChinaChina Mobile Internet of Things Co., Ltd., Nan’an District, Chongqing 401336, ChinaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, ChinaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, ChinaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, China; Corresponding authors.Increasing the upper limit of rainfall storage to enhance rainfall utilization is an important approach for conserving irrigation water in rice production while also avoiding yield losses caused by excessive flooding depth and prolonged inundation. However, traditional static water level control methods, which apply fixed storage limits at different growth stages, often fail to align with the dynamic nature of rainfall and crop water demand, leading to inefficiencies and increased waterlogging risk. This study proposed a dynamic rainfall storage control strategy based on 1–7-day weather forecasts. To evaluate its effectiveness, the AquaCrop model was modified by incorporating a waterlogging stress coefficient, resulting in the ACOP-FRice model. The model accurately simulated rice yield under various waterlogging conditions and demonstrated strong stability across growth stages. During the validation period, the late tillering stage showed the best performance of yield simulation accuracy, with a normalized root mean square error (NRMSE) of 7.39 %, and both the coefficient of determination (R2) and nash-sutcliffe efficiency (NSE) coefficient values reaching 0.83. Although the heading–flowering stage was the most sensitive to flooding, the model still achieved reasonable accuracy, with an NRMSE of 11.61 % and R² and NSE values of 0.81, indicating its ability to capture yield variations under complex stress conditions. Compared to static control, the dynamic strategies HP1, HP2, and HP3 increased rainfall use efficiency by 10.90–17.84 % and reduced drainage by 3.90–19.30 % for early rice, 3.10–12.00 % for mid-season rice, and 21.91–25.44 % for late rice. Yield losses across all scenarios remained below 3.00 %, confirming the strategy’s potential to optimize water management while minimizing adverse impacts on yield.http://www.sciencedirect.com/science/article/pii/S0378377425002835Dynamic upper limit of rainfall storingImproved AquaCropRainfall use efficiencyDrainageYield |
| spellingShingle | En Lin Rangjian Qiu Xinxin Li Mengting Chen Shizong Zheng Fei Ren Xiaoming Xiang Chenglong Ji Yuanlai Cui Yufeng Luo Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model Agricultural Water Management Dynamic upper limit of rainfall storing Improved AquaCrop Rainfall use efficiency Drainage Yield |
| title | Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model |
| title_full | Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model |
| title_fullStr | Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model |
| title_full_unstemmed | Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model |
| title_short | Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model |
| title_sort | dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved aquacrop model |
| topic | Dynamic upper limit of rainfall storing Improved AquaCrop Rainfall use efficiency Drainage Yield |
| url | http://www.sciencedirect.com/science/article/pii/S0378377425002835 |
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