Development of a cellular automata-based distributed hydrological model for simulating urban surface runoff

被引:3
|
作者
Feng, Chuhan [1 ,2 ]
Zhang, Na [1 ,3 ]
Habiyakare, Telesphore [1 ]
Yu, Haijun [4 ]
机构
[1] Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, Peoples R China
[2] Natl Marine Environm Forecasting Ctr, Beijing 100081, Peoples R China
[3] Univ Chinese Acad Sci, Beijing Yanshan Earth Crit Zone Natl Res Stn, Beijing 101408, Peoples R China
[4] Minist Water Resources, China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
基金
北京市自然科学基金;
关键词
Urban surface runoff model; Improved nonlinear reservoir algorithm; Rainfall -terrain scenarios; Temporal grain effect; Spatial grain effect; Storm water management model; NEURAL-NETWORKS; SOIL-EROSION; QUALITY; WATER; UNCERTAINTY; PREDICTION; RESOLUTION; ALGORITHM; ACCURACY; SEASON;
D O I
10.1016/j.jhydrol.2023.130348
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The present study developed a distributed urban surface runoff model based on the cellular automata framework (CA-DUSRM) to simulate two-dimensional urban surface runoff processes. CA-DUSRM uses an improved nonlinear reservoir algorithm to simulate the generation of surface runoff outflow at grid cell scale and flow interactions among cells. The CA-DUSRM simulation results (total surface runoff and peak discharge) for an asphalt road sub-catchment during different rainfall events were in good agreement with actual measurements of both surface runoff and rainfall processes. The performance of CA-DUSRM was comprehensively and systematically analyzed under different rainfall-terrain scenarios. The results showed that increasing the temporal grain resulted in uncertain simulation results in relation to the rainfall intensity, slope, and terrain undulation employed; and significant spatial grain effects were mainly caused by large terrain undulation changes. Compared with the storm water management model (SWMM), CA-DUSRM performed better overall and was more sensitive to variation in terrain undulation and fluctuations in rainfall. Based on model structure and simulation mechanism perspectives, CA-DUSRM can present the influence of spatially heterogeneous underlying surface characteristics on the runoff processes and describe the lateral water exchanges, which makes the simulated processes closer to the actual processes when compared with SWMM. CA-DUSRM is potentially suitable for application in urban areas that have complex underlying surfaces.
引用
收藏
页数:22
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