Flood susceptibility assessment and mapping using GIS-based analytical hierarchy process and frequency ratio models
Government of Khyber Pakhtunkhwa · University of Peshawar · +2 more institutions
Abstract
In this study, flood susceptibility maps were produced for district Nowshera by using Geographic Information System (GIS)-based Multi-Criteria Decision Analysis (MCDA) Analytical Hierarchy Process (AHP) and Bivariate Statistical Frequency Ratio (FR) models. This study analyses twelve Hydro-geomorphological flood conditioning factors selected based on the scale and characteristics of the study area. These factors include elevation, slope, distance from the river, rainfall, drainage density, land use land cover (LULC), topographic wetness index (TWI), height above nearest drainage (HAND), normalized difference vegetation index (NDVI), distance from the road, curvature, and soil type. The weighted factors were…
Citation impact
- FWCI
- 52.25
- Percentile
- 100%
- References
- 92
Authors
6Topics & keywords
- Flood myth
- Process (computing)
- Hierarchy
- Environmental science
- Analytic hierarchy process
- Computer science
- Hydrology (agriculture)
- Geology
- Climate action