Articles | Volume 15, issue 3
Nat. Hazards Earth Syst. Sci., 15, 381–391, 2015
https://doi.org/10.5194/nhess-15-381-2015
Nat. Hazards Earth Syst. Sci., 15, 381–391, 2015
https://doi.org/10.5194/nhess-15-381-2015

Research article 04 Mar 2015

Research article | 04 Mar 2015

Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata

L. Liu et al.

Related authors

The increasing snow cover in the Amur River Basin from MODIS observations during 2000–2014
Xianwei Wang, Yuan Zhu, Yaning Chen, Hailing Zheng, Henan Liu, Huabing Huang, Kai Liu, and Lin Liu
The Cryosphere Discuss., https://doi.org/10.5194/tc-2016-72,https://doi.org/10.5194/tc-2016-72, 2016
Preprint withdrawn
Short summary

Related subject area

Hydrological Hazards
Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling
Tigstu T. Dullo, George K. Darkwah, Sudershan Gangrade, Mario Morales-Hernández, M. Bulbul Sharif, Alfred J. Kalyanapu, Shih-Chieh Kao, Sheikh Ghafoor, and Moetasim Ashfaq
Nat. Hazards Earth Syst. Sci., 21, 1739–1757, https://doi.org/10.5194/nhess-21-1739-2021,https://doi.org/10.5194/nhess-21-1739-2021, 2021
Short summary
Integrated mapping of water-related disasters using the analytical hierarchy process under land use change and climate change issues in Laos
Sengphrachanh Phakonkham, So Kazama, and Daisuke Komori
Nat. Hazards Earth Syst. Sci., 21, 1551–1567, https://doi.org/10.5194/nhess-21-1551-2021,https://doi.org/10.5194/nhess-21-1551-2021, 2021
Short summary
Soil moisture and streamflow deficit anomaly index: an approach to quantify drought hazards by combining deficit and anomaly
Eklavyya Popat and Petra Döll
Nat. Hazards Earth Syst. Sci., 21, 1337–1354, https://doi.org/10.5194/nhess-21-1337-2021,https://doi.org/10.5194/nhess-21-1337-2021, 2021
Short summary
The uncertainty of flood frequency analyses in hydrodynamic model simulations
Xudong Zhou, Wenchao Ma, Wataru Echizenya, and Dai Yamazaki
Nat. Hazards Earth Syst. Sci., 21, 1071–1085, https://doi.org/10.5194/nhess-21-1071-2021,https://doi.org/10.5194/nhess-21-1071-2021, 2021
Short summary
Flood risk assessment of the European road network
Kees C. H. van Ginkel, Francesco Dottori, Lorenzo Alfieri, Luc Feyen, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021,https://doi.org/10.5194/nhess-21-1011-2021, 2021
Short summary

Cited articles

Avolio, M. V., Crisci, G. M., D'Ambrosio, D., Di Gregorio, S., Iovine, G., Rongo, R., and Spataro, W.: An extended notion of Cellular Automata for surface flows modelling, WSEAS Trans. Comput., 2, 1080–1085, 2003.
Bates, P. D. and De Roo, A. P. J.: A simple raster-based model for flood inundation simulation, J. Hydrol., 236, 54–77, 2000.
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, 2010.
Bidur Ghimire, A. S. C. M.: Formulation of a fast 2-D urban pluvial flood model using a cellular automata approach, J. Hydroinform., 15, 676–686, 2013.
Burks, A. W.: Essays on Cellular Automata, University of Illinois Press, Paris, 1970.
Download
Short summary
This CA model can be easily established using commonly available basic urban geographic data with little preprocessing. It considers detailed urban features such as buildings and inlets, reproduces the changing extent and depth of flooded areas at the catchment outlet with an accuracy of 4 cm in water depth, and adequately represents the flow dynamics in the inundation process; furthermore, the model is computationally efficient for city emergency management.
Altmetrics
Final-revised paper
Preprint