EconPapers    
Economics at your fingertips  
 

Geo-visualization of Debris Flow Susceptibility in District Chitral, North-West of Pakistan

Mariam Sarwar, Shakeel Mahmood*, Muhammad Farhan Saeed ()
Additional contact information
Mariam Sarwar, Shakeel Mahmood*, Muhammad Farhan Saeed: Department of Geography, Government College University Lahore, Pakistan

International Journal of Innovations in Science & Technology, 2024, vol. 6, issue 6, 661-673

Abstract: Debris flows are a recurrent environmental hazard in hilly regions and significantly impact socioeconomic development in Pakistan. This study aims to conduct debris flow risk zonation using remote sensing data, including NASA's Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) and Landsat-8 imagery. These data were combined with geographic indices to identify debris flow factors such as slope, aspect, elevation, vegetation cover, and land cover changes like NDWI and NDVI. The weighted overlay technique was employed to achieve the study's objective in the target area. The classes were ranked from most to least favorable, with numerical weights assigned based on each factor's importance in debris flow occurrence. A composite map was then developed using the weighted overlay analysis to represent the significance of each factor. The resulting debris flow risk zonation map categorized the area into four classes: very high-risk, high-risk, moderate-risk, and low-risk zones. The villages located in the very high-risk zone include Mulkoh, Mastuj, Reshun, Shegram, Terich Gol, Rogar, Asurat, Boni, Brep, and Rech Tockhow, which have been frequently affected by hazards over the past decade. While the results and landslide susceptibility maps provide valuable insights for understanding landslides and planning mitigation measures, field surveys are essential for more accurate predictions. Overall, the study offers important information for authorities to prioritize landslide mitigation efforts in the region.

Keywords: Debris Flow; Chitral; Weighted Overlay Analysis GIS; Risk; GIS and Remote sensing (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journal.50sea.com/index.php/IJIST/article/view/992/1589 (application/pdf)
https://journal.50sea.com/index.php/IJIST/article/view/992 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abq:ijist1:v:6:y:2024:i:6:p:661-673

Access Statistics for this article

International Journal of Innovations in Science & Technology is currently edited by Prof. Dr. Syed Amer Mahmood

More articles in International Journal of Innovations in Science & Technology from 50sea
Bibliographic data for series maintained by Iqra Nazeer ().

 
Page updated 2025-10-22
Handle: RePEc:abq:ijist1:v:6:y:2024:i:6:p:661-673