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基于太湖流域模型的城市内涝过程高效模拟
引用本文:王船海,郑世威,李小宁,陈凯,翟月,华晨,汪姗,陈钢. 基于太湖流域模型的城市内涝过程高效模拟[J]. 水科学进展, 2022, 33(3): 462-473. DOI: 10.14042/j.cnki.32.1309.2022.03.010
作者姓名:王船海  郑世威  李小宁  陈凯  翟月  华晨  汪姗  陈钢
作者单位:1.河海大学水文水资源与水利工程科学国家重点实验室, 江苏 南京 210098
基金项目:国家重点研发计划资助项目2021YFC3000104国家自然科学基金资助项目U2040209
摘    要:城市内涝的高效模拟对于降低内涝灾害影响、制定防灾减灾措施具有极其重要的意义。本文提出了基于雨篦子耦合地表与管网的城市降雨-产汇流-内涝全过程高效模拟方法,结合常州市双桥浜城市产汇流与内涝试验基地监测数据,分别构建了基于高效模拟算法和二维水动力算法的城市内涝模型。根据监测数据对所构建的模型进行了率定与验证,并分析对比了2种算法在不同降雨事件中的精度与可靠性。结果表明:太湖流域模型中基于雨篦子的城市水文特征单元高效模拟方法能够较为真实地反映城市内涝的具体特征,且在模型参数一致的前提下,其计算效率约为二维水动力算法的780~1 275倍,能够对城市内涝情况进行快速模拟。

关 键 词:城市内涝  太湖流域模型  汇水单元  高效模拟  试验监测
收稿时间:2021-12-27

Efficient simulation of urban flood inundation based on Taihu Lake basin model
Affiliation:1.State Key Laboratory of Hydrology- Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China2.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China3.Nanjing Huishui Software Technology Co., Ltd, Nanjing 210036, China4.Changzhou Branch of Jiangsu Hydrology and Water Resources Survey Bureau, Changzhou 213022, China
Abstract:The effective simulation of urban flood inundation is crucial for mitigating the effects of flooding and devising disaster prevention and mitigation measures. In this study, an efficient simulation method based on grate-inlet linking overland and pipe flow was proposed for the whole process of urban rainfall-runoff-flood inundation. On the basis of monitoring data from the Shuangqiaobang urban runoff and flood inundation experimental site, urban flood inundation models based on an efficient simulation algorithm and a two-dimensional hydrodynamic algorithm were calibrated and validated. The accuracy and reliability of the two methods were analyzed and compared in different rainfall events. The results show that the efficient simulation method based on the grate-inlet urban hydrological feature unit in the Taihu Lake basin model could reflect the specific characteristics of urban flooding more accurately. The computational efficiency is approximately 780-1 275 times than that of the two-dimensional hydrodynamic algorithm. Overall, it can simulate urban flooding with the same settings much more quickly.
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