分区层化立体多重天津城市暴雨内涝模型研究
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  • 英文篇名:Study on a multi-level and modular model urban waterlogging model in Tianjin
  • 作者:陈靖 ; 李大鸣 ; 郝莹 ; 王笑 ; 李培彦 ; 林毅 ; 解以扬
  • 英文作者:CHEN Jing;LI Da-ming;Hao Ying;Wang Xiao;LI Peiyang;Lin Yi;XIE Yi-yang;Tianjin Institute of Meteorological Science;State key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University;Huaihe Basin Meteorological Center;Anhui Meteorological Observatory;
  • 关键词:城市暴雨内涝模型 ; 分区层化 ; 台风“安比” ; 收水范围
  • 英文关键词:urban rainstorm waterlogging model;;multi-level and modular;;typhoon Ampil;;water collecting range
  • 中文刊名:SDLJ
  • 英文刊名:Chinese Journal of Hydrodynamics
  • 机构:天津市气象科学研究所;天津大学水利工程仿真与安全国家重点实验室;安徽省气象台;淮河流域气象中心;
  • 出版日期:2019-05-30
  • 出版单位:水动力学研究与进展(A辑)
  • 年:2019
  • 期:v.34
  • 基金:天津市气象局科研项目(201807ybxm04);; 淮河流域气象开放研究基金(HRM201501);; 天津市自然科学基金一般项目(16JCBJC21500)~~
  • 语种:中文;
  • 页:SDLJ201903013
  • 页数:10
  • CN:03
  • ISSN:31-1399/TK
  • 分类号:97-106
摘要
该文以城市下垫面空间差异性分区为重点,重新构建天津城市暴雨内涝模型,以城市地表与明渠河道水流运动为主要模拟对象,基本控制方程以平面二维非恒定流的基本方程为骨架,将河网、路网、管网和社区的计算网格分层划分,形成相对独立的河网、路网、管网和社区的计算模拟体系,形成分区分层和立体多重的模型计算模式。针对2018年7月24日台风"安比"降雨过程造成的天津城区内涝灾害,结合自动积水监测数据,对模型模拟结果进行验证,结果表明,内涝模型模拟的积水监测点最大积水深度与实况积水深度平均绝对误差小于0.1m,模拟积水过程与实况积水过程变化趋势基本一致,一致指数达到77%,模型具有一定的模拟精度。
        The urban rainstorm waterlogging model for Tianjin is reconstructed in this study. The focus of the new model is the spatial partition based on the differences of urban underlying su rfaces. The water flow movements of urban surface and open channel are the main objects to be simulated. The new model takes the basic equation of two-dimensional unsteady flow as the framework. The independent computational simulation system an d computation mode of partition, stratification and multiple dimensions are formed through hierarchical division of river grids, r oad grids, pipeline grids and community grids. Aiming at the waterlogging disaster caused by typhoon Ampil rainfall on July 24, 2 018 in Tianjin urban area, the simulation results of model are validated by combining the automatic accumulation water monitor ing data. The average absolute error between the maximum water accumulation depth simulated by waterlogging model and the actual water accumulation depth is less than 0.1 m in water monitoring point. The simulated water accumulation process is b asically consistent with the actual situation. The index of agreement is 77%. Therefore, the waterlogging model can effectively simulate the flooding scenarios of urban waterlogging.
引文
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