KANGDe-jun,WENRu-jie,QIUFu-jie,et al.4D Visualization of Urban Waterlogging Based on SWMM and GIS[J].China Water & Wastewater,2023,39(13):133-138.
基于SWMM和GIS的城市内涝4D可视化研究
- Title:
- 4D Visualization of Urban Waterlogging Based on SWMM and GIS
- 关键词:
- SWMM; 地理信息系统(GIS); 城市内涝; 4D可视化
- 摘要:
- 为了解决SWMM模型中城市内涝积水无法多维显示的问题,提出了一种基于地理信息系统GIS空间分析的城市内涝4D可视化方法。以福建省某城市片区为例,对研究区域排水管网进行概化,构建了该片区的SWMM水力模型,并采用实测降雨进行模拟对比分析。基于GIS空间分析对模拟积水结果进行4D可视化,研究得到的不同降雨历时下城市内涝淹没范围与实际调研结果基本相符,表明提出的城市内涝4D可视化方法具有良好的实用性。该方法将GIS空间分析工具和空间制图相结合,实现了暴雨情景下城市内涝区域的直观多维表达。
- Abstract:
- This paper proposed a 4D visualization method of urban waterlogging based on geographic information system (GIS) spatial analysis, so as to solve the problem that urban waterlogging cannot be displayed in multiple dimensions in SWMM model. The drainage network in the study area of a city in Fujian Province was generalized to construct the SWMM hydraulic model, and the measured rainfall was simulated and analyzed. The simulated waterlogging was visualized in 4D based on GIS spatial analysis, and the submerged area under different rainfall durations was basically consistent with the actual investigation results, indicating that the proposed method for 4D visualization of urban waterlogging was of good practicability. This method combined GIS spatial analysis tools with spatial mapping, and realized the visual multi-dimensional representation of urban waterlogging areas under rainstorm scenarios.
相似文献/References:
[1]孟涛,崔慧萍,郭士涛.分流制雨水管网滞留污染物的估算研究[J].中国给水排水,2020,36(9):105.
[2]陈韬,夏蒙蒙,刘云鹏,等.基于SWMM的海绵改建小区雨水径流调控研究[J].中国给水排水,2020,36(11):103.
[3]徐雷,吴正松,邵知宇,等.基于SWMM耦合模型的道路行泄通道设计方法与应用[J].中国给水排水,2021,37(1):114.
XU Lei,WU Zheng-song,SHAO Zhi-yu,et al.Design Method and Application of Roadway Drainage Path Based on Coupled Hydraulic SWMM Model[J].China Water & Wastewater,2021,37(13):114.
[4]林雪君,杜遂,戴立峰,等.基于SWMM模型的截流倍数环境效应分析[J].中国给水排水,2021,37(5):111.
LIN Xue-jun,DU Sui,DAI Li-feng,et al.Environmental Effect Analysis of Interception Ratio Based on SWMM Model[J].China Water & Wastewater,2021,37(13):111.
[5]赵月,张建丰,李涛,等.降雨径流模型的参数敏感性分析与方法比较[J].中国给水排水,2021,37(7):114.
ZHAO Yue,ZHANG Jian-feng,LI Tao,et al.Parameter Sensitivity Analysis and Method Comparison of Rainfall Runoff Model[J].China Water & Wastewater,2021,37(13):114.
[6]桂晗亮,张春萍,武治国,等.人工神经网络和SWMM在降雨径流模拟中的应用对比[J].中国给水排水,2021,37(13):108.
GUI Han-liang,ZHANG Chun-ping,WU Zhi-guo,et al.Comparison of Artificial Neural Network and SWMM Applied in Rainfall Runoff Simulation[J].China Water & Wastewater,2021,37(13):108.
[7]李俊奇,姜昱丞,李小静.雨水径流污染削减与源头体积控制之间的响应关系[J].中国给水排水,2021,37(15):102.
LI Jun-qi,JIANG Yu-cheng,LI Xiao-jing.Response Relationship between Stormwater Runoff Pollution Reduction and Source Volume Control[J].China Water & Wastewater,2021,37(13):102.
[8]贺娟,梁小光,温卫华,等.SWMM下渗模型算法改进研究[J].中国给水排水,2022,38(7):122.
HEJuan,LIANGXiao-guang,WENWei-hua,et al.Algorithm Improvement of SWMM Infiltration Model[J].China Water & Wastewater,2022,38(13):122.
[9]王菲菲,卿晓霞,杨森雄,等.基于PySWMM的SWMM参数自动率定研究[J].中国给水排水,2022,38(21):124.
WANGFei-fei,QINGXiao-xia,YANGSen-xiong,et al.Automatic Calibration of SWMM Parameters Based on PySWMM[J].China Water & Wastewater,2022,38(13):124.
[10]周倩倩,冯军满,覃钊,等.基于GIS和SWMM的精细化水文表征方法[J].中国给水排水,2023,39(7):126.
ZHOUQian-qian,FENGJun-man,QINZhao,et al.Refined Hydrological Characterization Method Based on GIS and SWMM[J].China Water & Wastewater,2023,39(13):126.