Articles | Volume 373
https://doi.org/10.5194/piahs-373-137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/piahs-373-137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
12 May 2016
Hydrological and hydraulic models for determination of flood-prone and flood inundation areas
Department of Civil Engineering, Hydraulics Division, Istanbul Technical
University, Istanbul, 34469, Turkey
Veysel Sadan Ozgur Kirca
Department of Civil Engineering, Hydraulics Division, Istanbul Technical
University, Istanbul, 34469, Turkey
Halil Ibrahim Burgan
Department of Civil Engineering, Hydraulics Division, Istanbul Technical
University, Istanbul, 34469, Turkey
Dorukhan Kellecioglu
Department of Civil Engineering, Hydraulics Division, Istanbul Technical
University, Istanbul, 34469, Turkey
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Cited
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- The effect of DEM resolution on topographic wetness index calculation and visualization: An insight to the hidden danger unraveled in Bozkurt in August, 2021 A. ALTUNEL 10.26833/ijeg.1110560
- Identification of spatial potential flood-prone area using topographic wetness index under the digital elevation model of Kr. Keureuto watershed, North Aceh. M. Rizalihadi et al. 10.1088/1742-6596/2916/1/012009
- Delineation of flood-prone areas using modified topographic index for a river basin D. Nagesh Kumar et al. 10.2166/h2oj.2020.021
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- Understanding the impacts of predecessor rain events on flood hazard in a changing climate A. Khatun et al. 10.1002/hyp.14500
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- Investigating the Role of the Key Conditioning Factors in Flood Susceptibility Mapping Through Machine Learning Approaches K. Al-Kindi & Z. Alabri 10.1007/s41748-023-00369-7
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Latest update: 11 Mar 2025
Short summary
The proposed methodology is easy to use and inexpensive (a free software with minimum amount of data requirement); yet it is very effective in terms of pinpointing the flood-prone locations in urban areas particularly. Expectation is that it provides simple modelling concepts to be help of decision makers in preventing life and monetary losses due to floods. The study is based on an EU project aiming at using simple tools for applicable results.
The proposed methodology is easy to use and inexpensive (a free software with minimum amount of...
