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DOI | 10.1029/2018WR023679 |
A Cellular Automata Fast Flood Evaluation (CA-ffe) Model | |
Jamali, Behzad1,2; Bach, Peter M.2,3,4; Cunningham, Luke5; Deletic, Ana1 | |
2019-06-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:6页码:4936-4953 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia; Switzerland |
英文摘要 | The simulation speed of two-dimensional hydrodynamic flood models is a limiting factor when catchments are large, a considerable number of simulations is required (e.g., exploratory modeling, Monte-Carlo flood simulations, or predicting probabilistic flood maps), or when there is a need for real-time flood emergency management. Rapid Flood Models (RFMs) that rely only on topographic depressions and the water balance equation have been successfully implemented to predict maximum urban flood inundation depths within seconds to a few minutes. However, the preprocessing step (identification of depressions and their attributes) and the postprocessing step (marking up possible flow paths of flood water in between flooded depressions) of RFMs is time consuming. In this study, we developed a new fast flood inundation model based on the cellular automata (CA) approach. The new model does not require the preprocessing and postprocessing steps of RFMs and therefore can provide more simulation speed. The performance of our new model, referred to as Cellular Automata fast flood evaluation (CA-ffe), was compared to two well-known hydrodynamic flood models (HEC-RAS and TUFLOW) in 20 simulation experiments conducted in five different urban subcatchments. CA-ffe predicted maximum inundation depth with reasonable accuracy in a matter of seconds to a few minutes for a single rainfall event simulation. The CA-ffe model performed exceptionally well in areas with low-lying depressions. However, in areas where floodwaters had higher momentum and velocity, the model usually was not able to estimate inundation depths calculated by HEC-RAS or TUFLOW. CA-ffe's key drawback is also its inability to represent the temporal evolution of flooding and flow velocities. Nevertheless, its ability to provide spatial flood extents and depths in a fraction of the time compared to its hydrodynamic counterparts is a significant advancement toward exploratory approaches for water systems planning, model-based predictive control, and real-time flood management. |
英文关键词 | urban pluvial flooding rapid flood inundation models Cellular Automata (CA) HEC-RAS TUFLOW |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477616900025 |
WOS关键词 | INUNDATION ; RISK |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183979 |
专题 | 资源环境科学 |
作者单位 | 1.Univ New South Wales, Sch Civil & Environm Engn, Water Res Ctr, Sydney, NSW, Australia; 2.Monash Univ, Monash Infrastruct Res Inst, Dept Civil Engn, Clayton, Vic, Australia; 3.Swiss Fed Inst Aquat Sci & Technol Eawag, Dubendorf, Switzerland; 4.Swiss Fed Inst Technol, Inst Environm Engn, Zurich, Switzerland; 5.Water Technol Pty Ltd, Notting Hill, Vic, Australia |
推荐引用方式 GB/T 7714 | Jamali, Behzad,Bach, Peter M.,Cunningham, Luke,et al. A Cellular Automata Fast Flood Evaluation (CA-ffe) Model[J]. WATER RESOURCES RESEARCH,2019,55(6):4936-4953. |
APA | Jamali, Behzad,Bach, Peter M.,Cunningham, Luke,&Deletic, Ana.(2019).A Cellular Automata Fast Flood Evaluation (CA-ffe) Model.WATER RESOURCES RESEARCH,55(6),4936-4953. |
MLA | Jamali, Behzad,et al."A Cellular Automata Fast Flood Evaluation (CA-ffe) Model".WATER RESOURCES RESEARCH 55.6(2019):4936-4953. |
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