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| Application of a two-dimensional overland flow model in causal relationship analysis of farmland flooding damage |
| Received:September 19, 2023 |
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| KeyWord:farmland flood;two-dimensional surface overflow model;agricultural environment;causality judgement |
| Author Name | Affiliation | E-mail | | YANG Chaoming | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China | | | MI Changhong | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Forensic Center of Agro-Ecological Environment and Agro-Product Quality Safety, Tianjin 300191, China | | | YANG Weichao | Tianjin Chengjian University, Tianjin Key Laboratory of Soft Soil Characteristics and Engineering Environment, Tianjin 300191, China | yangweichao@tju.edu.cn | | ZHENG Chuanxing | Tianjin Chengjian University, Tianjin Key Laboratory of Soft Soil Characteristics and Engineering Environment, Tianjin 300191, China | |
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| Abstract: |
| Currently, there is a need to understand the causal relationship between the construction of artificial structures and farmland flooding damage for many practical reasons; however, existing identification methods exhibit low accuracy, which has weakened their credibility. A two-dimensional surface flow model can accommodate the simulation calculations required to determine agricultural environmental causality, while improving the accuracy of causality determination. This study has simulated and analyzed the submerged range, submerged water depth, submerged flow rate, and submersion duration of flooded farmland before and after the construction of artificial structures, determined the causal relationship between rainfall and farmland flooding damage, and revealed a relationship between flooding damage and impairment of drainage conditions. These methods have been verified using spatio-temporal correlation and historical measured data. The results show that the two-dimensional surface flow model can be used to effectively perform a causal relationship analysis of farmland flooding damage, while providing a new perspective and exhibiting large-scale applicability. |
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