风场-暴雨叠加下城市内涝响应特征模拟研究

刘非; 车沁; 代晟; 魏书仪; 程麒铭; 邓义龙; 陈垚

doi:10.13928/j.cnki.wrahe.2026.06.006

水利水电技术（中英文） ›› 2026, Vol. 57 ›› Issue (6) : 85 -101. DOI: 10.13928/j.cnki.wrahe.2026.06.006

复杂灾害链与水旱巨灾风险评估专栏

风场-暴雨叠加下城市内涝响应特征模拟研究

刘非 ¹^,²^,³ ,
车沁 ¹^,² ,
代晟 ¹^,² ,
魏书仪 ¹^,² ,
程麒铭 ¹^,² ,
邓义龙 ¹^,² ,
陈垚 ¹^,²^,³

作者信息 +

Simulation study on urban waterlogging response characteristics under combined influence of wind fields and rainstorms

Fei LIU ¹^,²^,³ ,
Qin CHE ¹^,² ,
Sheng DAI ¹^,² ,
Shuyi WEI ¹^,² ,
Qiming CHENG ¹^,² ,
Yilong DENG ¹^,² ,
Yao CHEN ¹^,²^,³

Author information +

文章历史 +

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摘要

【目的】为探究山地城市建筑密集区风场-暴雨叠加下的内涝响应特征，【方法】以重庆市悦来新城某排水片区为研究区域，基于Storm Water Management Model (SWMM)和LISFLOOD-FP模型构建风雨叠加情形下的雨洪过程模拟方法，基于7种模式雨型进行降雨设计，结合历史实测风场，对导致研究区最大产流和溢流的最不利风向进行了模拟计算，并对风场-暴雨叠加后的城市内涝响应特征进行了系统分析。【结果】结果表明，风向(正北向为0°)为225°时的研究区产流量和溢流量明显高于其他风向，随着降雨强度的增大，风向的影响也随之增加；三类风场(均值风速分别为小风0~2 m/s、中风2~4 m/s、大风4~6 m/s)影响下的积水面积与不叠加风场相比，其平均增幅在1.6%~6.5%,局部可超过9.0%,相较于积水面积，随着重现期增加，溢流开始时间和溢流峰值的变化更为明显；在叠加风场情形下，重现期低于50 a时，模式Ⅲ型降雨下的积水面积增幅最为显著，而高于50 a时，模式Ⅱ型降雨下的增幅较为明显，均匀型和双峰型降雨的变化波动相对较小。【结论】在城市建筑密集区的暴雨内涝模拟中，忽视风场因素的影响可能会导致低估区域产流和内涝程度，所提出的耦合风场影响的雨洪模拟方法，在山地城市内涝模拟中表现出良好适用性。

Abstract

[Objective] To investigate the characteristics of urban waterlogging response under the combined influence of wind fields and rainstorms in densely built mountainous cities. [Methods] Taking a drainage area in Yuelai New City of Chongqing as the study area, a rainfall-runoff process simulation method under the combined influence of wind and rainfall was proposed based on the Storm Water Management Model(SWMM) and the LISFLOOD-FP model. Rainfall design was carried out based on seven rainstorm patterns. Using historical observed wind fields, the most adverse wind direction leading to the maximum runoff yield and overflow in the study area was simulated. The urban waterlogging response characteristics under the combined influence of wind fields and rainstorms were systematically analyzed. [Results] The result showed that when the wind direction was 225°(with due north as 0°), the runoff yield and overflow volumes in the study area were significantly higher than those under other wind directions, and the influence of wind direction intensified with increasing rainfall intensity. Under the influence of three wind field types(with average wind speeds of 0~2 m/s for light wind, 2~4 m/s for moderate wind, and 4~6 m/s for strong wind), the waterlogged area increased by an average of 1.6%~6.5% compared with no wind field conditions, with local increases exceeding 9.0%. Compared with the waterlogged area, the changes in overflow onset time and overflow peak became more pronounced with increasing return periods. Under the influence of wind fields, the waterlogged area increased most significantly under rainfall Pattern Ⅲ when the return period was less than 50 years, while the increase was more pronounced under Pattern Ⅱ when the return period exceeded 50 years. Changes under uniform and bimodal rainstorm patterns were relatively minor. [Conclusion] In simulating urban waterlogging in densely built urban districts, neglecting the influence of wind fields may underestimate both runoff yield and waterlogging severity. The proposed method for rainfall-runoff simulation coupled with wind field influence demonstrates strong applicability in simulating waterlogging in mountainous cities.