二维地表漫流模型在农田水淹损害因果关系中的应用

目前，人工构筑物修建与农田水淹损害因果关系鉴定实践需求多，现有判定方法精度低、可信性弱。二维地表漫流模型可以实现农业环境因果关系模拟计算，提高因果关系判定的精确性。本文通过模拟分析人工构筑物修建前后受淹农田的淹没范围、淹没水深、淹没流速以及淹没时长，确定降雨与农田水淹损害之间的因果关系，揭示水淹损害与排涝条件受损之间的关联，并通过时空关联及历史实测数据进行方法验证。结果表明：二维地表漫流模型在农田水淹损害鉴定因果关系分析中具有很好的应用价值，为农田水淹因果关系分析提供了新视角和新方法，具有很好的推广前景。

Application of a two-dimensional overland flow model in causal relationship analysis of farmland flooding damage

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.