[1]同玉,赵航,侯精明,等.高密度城区内涝时空变化对降雨空间格局响应规律[J].中国给水排水,2025,41(19):147-154.
　TONGYu,ZHAOHang,HOUJing-ming,et al.Response Characteristics of Spatiotemporal Changes in Waterlogging to Rainfall Spatial Patterns in High?density Urban Areas[J].China Water & Wastewater,2025,41(19):147-154.
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高密度城区内涝时空变化对降雨空间格局响应规律

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第41卷 期数: 2025年第19期 页码: 147-154 栏目: 出版日期: 2025-10-01
Title:
Response Characteristics of Spatiotemporal Changes in Waterlogging to Rainfall Spatial Patterns in High?density Urban Areas
作者:
同玉1， 赵航1， 侯精明1， 黄喜峰2， 刘立军1， 栾广学1， 李东来1， 陈光照1， 高扬1
（1.西安理工大学 旱区水工程生态环境全国重点实验室，陕西 西安 710048；2.陕西省水旱灾害防御中心，陕西 西安 710004）
Author(s):
TONG　Yu1， ZHAO　Hang1， HOU　Jing-ming1， HUANG　Xi-feng2， LIU　Li-jun1， LUAN　Guang?xue1， LI　Dong-lai1， CHEN　Guang-zhao1， GAO　Yang1
（1. State Key Laboratory of Water Engineering Ecology and Environment in Arid Area， Xi’an University of Technology， Xi’an 710048， China； 2. Flood and Drought Disaster Prevention Center of Shaanxi Province， Xi’an 710004， China）
关键词:
降雨空间分布;  GAST-SWMM;  积水模式;  数值模拟
Keywords:
spatial distribution of rainfall;  GAST-SWMM;  waterlogging pattern;  numerical simulation
摘要:
为深入了解高密度城区内涝时空变化对降雨空间格局的响应规律，以某高密度城区为例，应用耦合二维地表和一维管网的水文水动力过程数值模型，模拟分析研究区域4种降雨空间格局和3种重现期设计暴雨条件下的内涝积水过程。结果表明，内涝积水模式受局部强降雨区位影响显著，不同降雨空间格局之间的积水总量最高相差27倍；上游局部强降雨可通过排水系统对下游无降雨区域造成潜在的内涝风险，且易导致更长的内涝持续时间，并延迟其峰值时刻至降雨结束后的1~2 h。此外，小重现期降雨条件下，内涝点附近地表径流是导致内涝积水的主要因素；大重现期降雨条件下，内涝积水由地表径流与上游管道来水溢流共同导致，且后者易造成更大的内涝风险。
Abstract:
A numerical model integrating two?dimensional surface runoff with one-dimensional pipe network hydrological and hydrodynamic processes was employed to better understand the response characteristics of spatiotemporal changes in waterlogging to rainfall spatial patterns in high-density urban areas. This model was used to simulate and analyze the waterlogging process under four different rainfall spatial patterns and three design rainstorm scenarios with varying recurrence periods in a specific high-density urban area. The urban waterlogging pattern was significantly affected by the location of local heavy rainfall, with the total waterlogging varying by up to 27 times depending on the rainfall spatial pattern. Local heavy rainfall occurring in upstream areas might pose a potential risk of waterlogging in downstream areas that did not experience direct rainfall through the drainage system, and it was easy to lead to longer waterlogging duration and delay the peak time of waterlogging to 1-2 hours after the rainfall. In addition, under conditions of rainfall with a small recurrence period, surface runoff near waterlogging point was the primary factor contributing to waterlogging. In contrast, under conditions of rainfall with a large recurrence period, urban waterlogging resulted from the combined effects of surface runoff and overflow from upstream pipelines, with the latter posing a higher risk of severe waterlogging.
更新日期/Last Update: 2025-10-01