International Journal of Waste Resources

Integrated approach for landslide risk assessment using geoinformation tools and field data in Hindukush mountain ranges, northern Pakistan

World Congress on Sustainable Waste Management

June 21, 2023 | Webinar

Nisar Ali Shah

National Center of GIS and Space Application (NCGSA), Pakistan

Scientific Tracks Abstracts: Int J Waste Resour

Abstract:

Landslides are one of the most frequent and destructive natural hazards around the globe that has an increasing impact on infrastructure, communities, and the environment. Landslide vulnerability and risk assessments are essential for landslide mitigation, land use and developmental planning. Yet, they are frequently lacking in complicated and data-scarce regions. Small communities living in the northern Pakistan are swearly affected by landslides. This research proposes an integrated approach to assess landslide hazard, vulnerability, and risk using a variety of freely available geospatial data and extensive field data for one of the most landslide-prone area in the Hindukush mountain ranges of northern Pakistan. Google Earth images are used to develop a detailed landslide inventory, correlated with landslide causative factors, computed from very high resolition satellite images and existing literature to develop a landslide susceptibility index. The landslide hazard index map is genrated by integrating the landsldie susceptibility map with landslide-triggering indicator. The acquired remote sensing data and extensive field surveys are used to create a geospatial database of the element-at-risk data. It includes the typological data of building’s footprints, road network, land cover, and population. Subsequently, a spatial multi-criteria evaluation technique is used for vulnerability assessment of the element at risk data and a semi-quantitative technique is applied for landslide risk assessment. The landslide risk map is classified into five categories: very low (18%), low (39.4%), moderate (26.3%), high (13.3%), and very high (3%). The generated landslide risk index map will aid in highlighting landslide risk hotspots and subsequent risk mitigation and reduction.

Biography :

Nisar Ali Shah completed his studies in University of Peshawar located in Pakistan. He has done some of the researches in National Centre of Excellence in Geology. He currently working in the National Center of GIS and Space Application (NCGSA) which is located in Pakistan. His research works are well known with the geology theory. He also gone through some practical knowledge in the lab of GIS and Space Application in Geosciences (GSAG).