Flood Hazard Mapping Using a Multi-Criteria Decision Analysis Approach Over the Indrawati River Basin

Authors

  • Buddha Subedi Department of Civil Engineering, Pulchowk Campus, Tribhuvan University, Pulchowk, Lalitpur, Nepal
  • Binu Devkota Department of Civil Engineering, Pulchowk Campus, Tribhuvan University, Pulchowk, Lalitpur, Nepal
  • Bishal Shrestha Department of Civil Engineering, Pulchowk Campus, Tribhuvan University, Pulchowk, Lalitpur, Nepal

DOI:

https://doi.org/10.3126/jalawaayu.v3i1.52058

Keywords:

Analytic Hierarchy Process, Flood Causative Factor, Flood Hazard, Pairwise Comparison Matrix

Abstract

Floods are devastating natural hazard responsible for direct mortality, deterioration of crops, and damage to infrastructure and property. So, their study is crucial for watershed management and mitigation of flood hazards. The main objective of this study was to create a scientifically valid flood hazard map of the Indrawati River Basin (IRB) through the use of the multi-criteria decision analysis approach. Topographical Wetness Index (TWI), Elevation (EL), Slope (SL), Precipitation (PPT), Land Use/Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), Distance from the River (DRI), Distance from the Road (DRO), Drainage Density (DD), and Soil Type (ST) were chosen as flood triggering factors based on literature review, data availability, and catchment characteristics. The analytic hierarchy process (AHP) method was used for determining the relative weight of each flood causative factor. All these factors were resampled into a 30 m × 30 m pixel size. Based on an evaluation of satellite imagery, 30 flood points were identified in the IRB, and these points were used as the testing dataset for validating the outcome. Based on results, the IRB has been classified into five different flood susceptible zones; very low, low, moderate, high, and very high. According to the study, 13%, 26%, 30%, 23%, and 8% of the total area are in very low, low, moderate, high, and very high flood susceptible zones, respectively. The Area Under the Curve (AUC) value for the success rate was 0.792. The results of this study will be crucial for concerned parties to design early warning systems and flood risk reduction measures for flood preparedness. 

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Published

2023-02-14

How to Cite

Subedi, B., Devkota, B., & Shrestha, B. (2023). Flood Hazard Mapping Using a Multi-Criteria Decision Analysis Approach Over the Indrawati River Basin. Jalawaayu, 3(1), 25–42. https://doi.org/10.3126/jalawaayu.v3i1.52058

Issue

Section

Research Article