文章摘要
杨超铭,米长虹,杨伟超,郑传星.二维地表漫流模型在农田水淹损害因果关系中的应用[J].农业环境科学学报,2023,42(12):2731-2739.
二维地表漫流模型在农田水淹损害因果关系中的应用
Application of a two-dimensional overland flow model in causal relationship analysis of farmland flooding damage
投稿时间:2023-09-19  
DOI:10.11654/jaes.2023-0777
中文关键词: 农田水淹  二维地表漫流模型  农业环境  因果关系判定
英文关键词: farmland flood  two-dimensional surface overflow model  agricultural environment  causality judgement
基金项目:国家自然科学基金资助项目(42201078)
作者单位E-mail
杨超铭 农业农村部环境保护科研监测所, 天津 300191
中国农业科学院研究生院, 北京 100081 
 
米长虹 农业农村部环境保护科研监测所, 天津 300191
农业生态环境及农产品质量安全司法鉴定中心, 天津 300191 
 
杨伟超 天津城建大学, 天津市软土特性与工程环境重点实验室, 天津 300191 yangweichao@tju.edu.cn 
郑传星 天津城建大学, 天津市软土特性与工程环境重点实验室, 天津 300191  
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中文摘要:
      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。
英文摘要:
      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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