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A Cellular Automata Based Rainfall-Runoff Model for Urban Inundation Analysis Under Different Land Uses
Water Resources Management ( IF 4.3 ) Pub Date : 2021-04-13 , DOI: 10.1007/s11269-021-02826-2
Shuang Yao , Nengcheng Chen , Wenying Du , Chao Wang , Cuizhen Chen

Recently many runoff models based on cellular automaton (CA) have been developed to simulate floods; however, the existing models cannot be readily applied to complex urban environments. This study proposes a novel rainfall-runoff model based on CA (RRCA) to simulate inundation. Its main contributions include a fine runoff generation process that considers 12 urban scenarios rather than a single land use type and the confluence process determined by the new transition rules considering water supply and demand (WS-WD transition rules). RRCA was compared with another CA based flood model (E2DCA). With the benchmark model, the results showed that there was good agreement, with an R-squared greater than 0.9, and that RRCA was more sensitive to waterlogging levels than E2DCA. Furthermore, the simulated vegetation interception, infiltration and drainage processes had varying degrees of impact on waterlogging. Corresponding measures can be taken in urban flood management according to the identification of areas experiencing drainage difficulties.



中文翻译:

基于元胞自动机的降雨径流模型用于不同土地利用下的城市淹没分析

最近,已经开发了许多基于元胞自动机(CA)的径流模型来模拟洪水。但是,现有模型无法轻易应用于复杂的城市环境。这项研究提出了一种新的基于CA(RRCA)的降雨径流模型来模拟洪水。其主要贡献包括考虑了12种城市情景而不是单一土地使用类型的精细径流生成过程,以及由考虑水供需的新过渡规则(WS-WD过渡规则)确定的汇合过程。将RRCA与另一个基于CA的洪水模型(E2DCA)进行了比较。使用基准模型,结果表明存在良好的一致性,R平方大于0.9,并且RRCA比E2DCA对浸水水平更为敏感。此外,模拟的植被拦截 入渗和排水过程对涝灾的影响程度不同。根据对排水困难地区的识别,在城市洪水管理中可以采取相应的措施。

更新日期:2021-04-14
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