为评估已建区现状排水管网情况并以问题为导向提出针对性的多尺度分区管网排水能力提升优化策略，以北京市东城区为例，构建基于InfoWorks ICM的城市综合流域排水模型，选用两场实测降雨分别进行参数率定及模型验证，结果表明模型具有较高的精度与可靠性。在此基础上，利用该模型对1 a、3 a、5 a、10 a四种不同设计重现期、历时1 h降雨情景下的排水管网排水能力进行模拟，分三个尺度对研究区域模拟结果的分析如下：(1)城市尺度的管网排水能力不足1 a一遇、1~3 a一遇、3~5 a一遇、5~10 a一遇、10 a一遇的管线长度比例分别为52%、10%、4%、6%、29%；(2)地块尺度功能分区排水能力排序为：公园绿地≥居民小区>商务行政办公区>商业区；（3）道路尺度的主次干道管线排水能力不足1 a一遇、1~3 a一遇、3~5 a一遇、5~10 a一遇、10 a一遇的管线长度比例分别为38%、9%、4%、7%、42%。针对不同尺度下排水管网排水能力的现状评估结果，诊断并分析排水能力不足的问题及成因，以期通过系统性的管网现状评估及优化方案，为国内其他老城区的管网排水能力提升提供一套适用性的优化改造策略。

In order to evaluate the situation of drainage network in a built-up area and propose a targeted multi-scale zoning optimization strategy for improving drainage capacity of pipelines,this paper constructed an urban integrated drainage model with InfoWorks ICM for the Dongcheng District of Beijng.The model was calibrated and validated with two measured rainfall event data.The results showed that the model had a high accuracy and was reliable.The model was then used to simulate the drainage capacity of the drainage network under four different rainfall scenarios of the recurrence periods of 1,3,5 and 10 years.The simulation results of the study area were analyzed in three scales:1.The proportions of pipeline lengths of urban scale pipeline networks with less than 1 year,1-3 years,3-5 years,5-10 years and 10 years were 52%,10%,4%,6% and 29% respectively;2.The drainage capacity of the functional zoning on the land was:park and green space≥residential area>commercial and administrative office area>business area;3.The proportions of pipeline length of main and secondary roads with less than 1 year,1-3 years,3-5 years,5-10 years and 10 years were 38%,9%,4%,7% and 42%,respectively.Based on the evaluation results of drainage capacity of drainage pipe network under different scales,the problems and causes of insufficient drainage capacity were diagnosed and analyzed,and a suitability optimization strategy for improving drainage capacity was expected for other old urban areas in China through systematic assessment and optimization of the pipeline network.

国家“十三五”水专项课题（2017ZX07103 002）；北京市科技新星计划（Z161100004916085