the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comparison of statistical and analytical hierarchy process methods on flood susceptibility mapping: in a case study of Tana sub-basin in northwestern Ethiopia
Abstract. The sub-basin of Lake Tana is one of the most flood-prone areas in northwestern Ethiopia, which is affected by flood hazards. Flood susceptibility modeling in this area is essential for hazard reduction purposes. For this, the analytical hierarchy process (AHP), bivariate, and multivariate statistical methods were used. Using an intensive field survey, historical record, and Google Earth Imagery, 1404 flood locations were determined which are classified into 70 % training datasets and 30 % testing flood datasets using subset in the GIS tool. The statistical relationship between the probability of flood occurrence and eleven flood-driving factors is performed using the GIS tool. Then, the flood susceptibility map of the area is developed by summing all weighted factors using a raster calculator and classified into very low, low, moderate, high, and very high susceptibility classes using the natural breaks method. The results for the area under the curve (AUC) are 99.1 % for the frequency ratio model is better than 86.9 % using AHP, 81.4 % using the logistic regression model, and 78.2 % using the information value model. Based on the AUC values, the frequency ratio (FR) model is relatively better followed by the AHP model for regional flood use planning, flood hazard mitigation, and prevention purposes.
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RC1: 'As is the manuscript should be rejected', Anonymous Referee #1, 17 Dec 2020
- AC1: 'Reply on RC1', Azemeraw Wubalem, 12 Jan 2021
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RC2: 'Review comments', Guy J.-P. Schumann, 12 Jan 2021
- AC2: 'Reply on RC2', Azemeraw Wubalem, 12 Jan 2021
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RC1: 'As is the manuscript should be rejected', Anonymous Referee #1, 17 Dec 2020
- AC1: 'Reply on RC1', Azemeraw Wubalem, 12 Jan 2021
-
RC2: 'Review comments', Guy J.-P. Schumann, 12 Jan 2021
- AC2: 'Reply on RC2', Azemeraw Wubalem, 12 Jan 2021
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Cited
4 citations as recorded by crossref.
- Optimal flood susceptibility model based on performance comparisons of LR, EGB, and RF algorithms A. Youssef et al. 10.1007/s11069-022-05584-5
- Flood susceptibility mapping using qualitative and statistical methods in a semi-arid basin: case of the Manouba–Sijoumi watershed, Northeastern Tunisia N. Khadraoui et al. 10.1007/s11600-022-00966-6
- Mapping urban flood susceptibility in Ouagadougou, Burkina Faso K. Traoré et al. 10.1007/s12665-024-11871-0
- Assessment of spatial cyclone surge susceptibility through GIS-based AHP multi-criteria analysis and frequency ratio: a case study from the Bangladesh coast M. Mamun et al. 10.1080/19475705.2024.2368071