Articles | Volume 15, issue 3
https://doi.org/10.5194/nhess-15-381-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-381-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata
L. Liu
CORRESPONDING AUTHOR
Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, PR China
Department of Geography, University of Cincinnati, Cincinnati, Ohio, USA
Y. Liu
CORRESPONDING AUTHOR
Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, PR China
X. Wang
Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, PR China
Centre for Hydrological and Ecosystem Science, Department of Geography, Loughborough University, Loughborough, UK
K. Liu
Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, PR China
H. Huang
Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, PR China
G. Hu
School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, SunYat-sen University, Guangzhou, PR China
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Saved (final revised paper)
Latest update: 15 Nov 2024
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.
This CA model can be easily established using commonly available basic urban geographic data...
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