首页|GAST-SWMM耦合数值模型在大尺度城区致涝风险评估中的应用

GAST-SWMM耦合数值模型在大尺度城区致涝风险评估中的应用

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开展城区暴雨致涝风险评估对内涝整治及城市安全发展至关重要,以银川市310 km2主城区为例,建立基于GPU加速技术的城市地表积涝及地下管网排水过程的GAST-SWMM高效高分辨率耦合模型.通过实测内涝积水点信息对模型进行验证,分别模拟20年和30年一遇24 h长历时暴雨条件下研究区域规划前后的内涝区位及风险等级,并分析其内涝削减情况,绘制内涝风险图.结果表明:与实测值相比,模型模拟误差＜6％,具有较高的模拟精度;规划后与规划前相比,积水面积峰值削减率的平均值分别达到41.6％和45.03％,积水水深峰值削减率的平均值分别达到51.74％和56.05％,且高风险积水点全部降低为中风险与低风险.耦合数值模型在大尺度城区暴雨致涝风险评估中应用效果较好,研究结果对银川市暴雨易涝点防治及消除具有重要的参考价值.
APPLICATION OF GAST-SWMM COUPLED NUMERICAL MODEL IN LARGE-SCALE URBAN INUNDATION RISK ASSESSMENT
It is very important to carry out the risk assessment of rainstorm-induced inundation in urban areas for inundation regulation and urban security development.This study took the 310 km2 main urban area of Yinchuan as an example,to establish an efficient and high-resolution coupled GAST-SWMM model of urban surface inundation and drainage process of underground pipe network based on GPU acceleration technology.The model was verified by the measured information of inundation points.The inundation location and risk level before and after the planning of the study area were simulated respectively under the condition of 24-hour rainstorms with a return period of 20 years and 30 years.The inundation reduction was analyzed and the inundation risk map was drawn.The results showed that compared with the measured values,the simulation error of the model was less than 6％,and the simulation accuracy was higher.After planning,compared with the situation before planning,the average value of the peak water area reduction rate and peak water depth reduction rate reached 41.6％and 45.03％,respectively,and the average value of the peak water depth reduction rate reached 51.74％and 56.05％,respectively,and the high-risk water points were all reduced to medium risk and low risk.The coupled numerical model has a good application effect in the large-scale urban rainstorm-induced inundation risk assessment,and the research results have important reference value for the prevention and elimination of rainstorm-prone inundation points in Yinchuan.

one-two-dimensional coupled modelnumerical simulationGPU parallel computing technologyinundation risk assessmentlarge-scale urban area

银雅伦、侯精明、李欣怡、栾广学、高徐军、王添、沈健、乔梦曦

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西安理工大学省部共建西北旱区生态水利国家重点实验室,西安 710048

中规院(北京)规划设计有限公司,北京 100044

一二维耦合模型 数值模拟 GPU并行计算技术 内涝风险评估 大尺度城区

国家自然科学基金国家自然科学基金中德合作国际交流项目陕西省科技创新团队项目

5200910452079106M-04272020TD-023

2024

10.13205/j.hjgc.202404010

环境工程
中冶建筑研究总院有限公司,中国环境科学学会环境工程分会

环境工程

CSTPCD
影响因子：0.958
ISSN：1000-8942
年,卷(期)：2024.42(4)
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