Optimal Urban Flood Management Using Spatial Multi Criteria Decision Making Approach

Document Type : Research Article

Authors

1 Postgraduate of Water Resources Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran

2 Assistant Professor, Faculty of Agricultural Engineering and Technology, University of Tehran

Abstract

Water management in urban areas includes controlling storm water and developing efficient drainage
systems. High-intensity rainfall events, reduced permeability due to the urban development as well as
the aging of the drainage systems, are the main reasons for the occurrence of destructive floods in urban
areas. Developing the map of areas with potential of flood hazard could be an appropriate tool for
urban planning and development strategies. Vulnerability analysis of different urban areas is a complex
process because it depends on the various spatial and temporal parameters and criteria. The purpose of
this research is to prepare a tool to determine more precise decisions in urban flood management using a
combination of multi-criteria decision making and geographic information system. Development of an
artificial neural network (ANN) model as an alternative for the weighting process of the decision makers
is presented as a solution to mitigate the disagreement among decision makers on the weighting process
of decision making analysis. The developed spatial multi-criteria decision-making (SMCDM) tool enables
processing of necessary data and criteria and combining them through the decision making process.
All of the necessary data analysis and processing are automatically run within a developed toolbox. The
advantages of using the developed toolbox in generating flood management strategies are discussed in
the case study of Tehran city, Iran.

Keywords

Main Subjects

References

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Amirkabir Journal of Civil Engineering
Volume 48, Issue 3
November 2016
Pages 227-240

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