基于情景分析的城市暴雨内涝模拟研究
[Abstract]:Under the background of global complex climate change and rapid development of urbanization, urban extreme rainstorm weather events frequently occur, which has seriously threatened people's normal life and safety. The simulation of urban rainstorm waterlogging process under different scenarios provides an important scientific basis for relevant departments to take effective measures to prevent urban waterlogging and flood discharge. In this paper, a region in Bei'er Forest District of Xi'an City is taken as the research object. The terrain data of the studied area are analyzed by ArcGGIS software, the general map of drainage pipe network is drawn, and the simulation model of urban waterlogging in the area is established based on SWMM model. This paper designs the simulation of urban waterlogging process under different scenarios, analyzes the flow changing process and water accumulation situation of urban waterlogging process under different scenarios, and provides a decision service for the establishment of urban waterlogging coping mechanism. The main research results are as follows: (1) the urban rainstorm waterlogging model is established. The basic data were obtained by ArcGIS analysis, field investigation and distribution map of drainage network, and the simulation model of waterlogging was established based on SWMM model. By comparing the simulation results of rainfall once a year with the hydrological situation in the actual region, the waterlogging section is basically consistent with the actual situation, which verifies that the model has good rationality. (2) the urban waterlogging simulation based on scenario analysis in the study area. Three scenarios of different rainfall recurrence periods, different rainfall patterns and different urbanization levels were designed in this paper. From the point of view of different rainfall recurrence period scenarios, the runoff coefficient increases obviously with the increase of rainfall recurrence period, and the risk of waterlogging increases, and the drainage outlet discharge process of different rainfall recurrence periods is analyzed, the longer the recurrence period, the longer the recurrence period. Hong Feng flow larger and longer duration. The results show that the runoff coefficient increases when the rainfall peak coefficient is higher than that of the general assembly, and the overloading of the three different types of rain is basically the same in the same rainfall recurrence period, and the rainfall peak coefficient r is 0.3% and 0.5 respectively, and the results show that the runoff coefficient increases when the rainfall peak coefficient is higher than that of the rainfall peak coefficient. Under different urbanization level scenarios, the increase rate of urbanization level and the increase rate of runoff coefficient are not different. (3) the hydrological point simulation analysis of different rainfall recurrence period scenarios. After simulating the overflow of the nodes in four recurrence periods (1a ~ 2a ~ (5a) and 10a), the nodes with a recurrence period of five years or even more than a recurrence period have a greater overflow flow, and the analysis of the flow and depth distribution of the water accumulation points shows that the waterlogging is the most serious in the main section of the road. The typical waterlogging points of the main waterlogging sections are selected, and it is found that the drainage capacity is related to the maximum overflowing flow and the duration of the pipeline, and the corresponding measures can be taken to improve the pipe network. (4) the visualization of the urban waterlogging simulation process based on the integrated platform. Based on visualization of knowledge graph, compartmentalization of business and integrated integration platform, through drawing knowledge map of drainage network in study area, online display of information of multiple objects in pipe network is realized, and curves of related flow change are plotted. Provide decision-making services to users.
【学位授予单位】:西安理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TU992
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