地形
雨水管理模型
细胞自动机
洪水(心理学)
大洪水
计算机科学
环境科学
仿真建模
不确定度分析
水文模型
水文学(农业)
气象学
运筹学
模拟
地表径流
雨水
算法
数学
地质学
岩土工程
心理学
生态学
哲学
物理
神学
数理经济学
心理治疗师
生物
气候学
作者
Zhaoyang Zeng,Zhaoli Wang,Chengguang Lai
标识
DOI:10.1007/s13753-022-00416-3
摘要
Abstract Urban floods are becoming increasingly more frequent, which has led to tremendous economic losses. The application of inundation modeling to predict and simulate urban flooding is an effective approach for disaster prevention and risk reduction, while also addressing the uncertainty problem in the model is always a challenging task. In this study, a cellular automaton (CA)-based model combining a storm water management model (SWMM) and a weighted cellular automata 2D inundation model was applied and a physical-based model (LISFLOOD-FP) was also coupled with SWMM for comparison. The simulation performance and the uncertainty factors of the coupled model were systematically discussed. The results show that the CA-based model can achieve sufficient accuracy and higher computational efficiency than can a physical-based model. The resolution of terrain and rainstorm data had a strong influence on the performance of the CA-based model, and the simulations would be less creditable when using the input data with a terrain resolution lower than 15 m and a recorded interval of rainfall greater than 30 min. The roughness value and model type showed limited impacts on the change of inundation depth and occurrence of the peak inundation area. Generally, the CA-based coupled model demonstrated laudable applicability and can be recommended for fast simulation of urban flood episodes. This study also can provide references and implications for reducing uncertainty when constructing a CA-based coupled model.
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