Landslide Susceptibility Mapping of Chilas area along Karakoram Highway, Gilgit Baltistan, Pakistan

نوع مقاله : مقاله تحقیقی‌ (پژوهشی‌)

نویسندگان

1 School of Geography, Nanjing normal university

2 Department of Earth Science, Karakorum international university Gilgit Baltistan

3 Nanjing Normal University

4 5College of Marine Science and Engineering, Nanjing Normal University

5 4

چکیده

The use of a Geographic Information System (GIS) for assessing landslide susceptibility in the steeply rugged mountainous terrain of Chilas Basin, Pakistan, is covered in this research. Chilas is the part of Karakorum mountain ranges that lie in the north of Gilgit. Northern Pakistan is the region in which all the catastrophic events like earthquakes, mass wasting, flash floods are routine marvels. Among them catastrophic landslide events in this highly elevated and steeply mountainous region is a severe threat to human as well as economic property. To asses these catastrophic landslide events a detailed landslide inventory map were constructed based on Google Earth images. Followed by field observation in which the selected spots of a landslide triggered locations were confirmed in the field. Four main controlling parameter groups were collaborated to generate landslide susceptibility maps: (1) Human-induced parameters like road distance, (2) Topographical parameters in term of slope, land cover (3) Hydrological parameters, like rainfall, distance to stream, and temperature (4) Geological parameters in term of lithology and distance from major faults. These thematic layers were developed in a GIS environment to construct the landslide hazard map of Chilas Basin. Among all the controlling parameters slope is regarded as the highest-ranked factor as followed by geology and landcover. Analytical Hierarchy Process (AHP) basis weighted overlay technique was used to assess the final susceptibility map followed by Area under Curve (AUC) model. Based on these analyses four distinct susceptible regions were detected in the area which poses severe mass wasting activities. The AUC model gives the 81% result which is satisfactory.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Landslide Susceptibility Mapping of Chilas area along Karakoram Highway, Gilgit Baltistan, Pakistan

نویسندگان [English]

  • Aneel Ahmed 1
  • Nasrullah Ahmad 2
  • Xu Xiao Xuan 3
  • Shan Ning 4
  • Said Mukhtar Ahmad 5
1 School of Geography, Nanjing normal university
2 Department of Earth Science, Karakorum international university Gilgit Baltistan
3 Nanjing Normal University
4 5College of Marine Science and Engineering, Nanjing Normal University
5 Department of Geology Abdul Wali Khan University Mardan
چکیده [English]

The use of a Geographic Information System (GIS) for assessing landslide susceptibility in the steeply rugged mountainous terrain of Chilas Basin, Pakistan, is covered in this research. Chilas is the part of Karakorum mountain ranges that lie in the north of Gilgit. Northern Pakistan is the region in which all the catastrophic events like earthquakes, mass wasting, flash floods are routine marvels. Among them catastrophic landslide events in this highly elevated and steeply mountainous region is a severe threat to human as well as economic property. To asses these catastrophic landslide events a detailed landslide inventory map were constructed based on Google Earth images. Followed by field observation in which the selected spots of a landslide triggered locations were confirmed in the field. Four main controlling parameter groups were collaborated to generate landslide susceptibility maps: (1) Human-induced parameters like road distance, (2) Topographical parameters in term of slope, land cover (3) Hydrological parameters, like rainfall, distance to stream, and temperature (4) Geological parameters in term of lithology and distance from major faults. These thematic layers were developed in a GIS environment to construct the landslide hazard map of Chilas Basin. Among all the controlling parameters slope is regarded as the highest-ranked factor as followed by geology and landcover. Analytical Hierarchy Process (AHP) basis weighted overlay technique was used to assess the final susceptibility map followed by Area under Curve (AUC) model. Based on these analyses four distinct susceptible regions were detected in the area which poses severe mass wasting activities. The AUC model gives the 81% result which is satisfactory.

The use of a Geographic Information System (GIS) for assessing landslide susceptibility in the steeply rugged mountainous terrain of Chilas Basin, Pakistan, is covered in this research. Chilas is the part of Karakorum mountain ranges that lie in the north of Gilgit. Northern Pakistan is the region in which all the catastrophic events like earthquakes, mass wasting, flash floods are routine marvels. Among them catastrophic landslide events in this highly elevated and steeply mountainous region is a severe threat to human as well as economic property. To asses these catastrophic landslide events a detailed landslide inventory map were constructed based on Google Earth images. Followed by field observation in which the selected spots of a landslide triggered locations were confirmed in the field. Four main controlling parameter groups were collaborated to generate landslide susceptibility maps: (1) Human-induced parameters like road distance, (2) Topographical parameters in term of slope, land cover (3) Hydrological parameters, like rainfall, distance to stream, and temperature (4) Geological parameters in term of lithology and distance from major faults. These thematic layers were developed in a GIS environment to construct the landslide hazard map of Chilas Basin. Among all the controlling parameters slope is regarded as the highest-ranked factor as followed by geology and landcover.

کلیدواژه‌ها [English]

  • GIS
  • Landslide
  • Susceptibility
  • Land cover
  • Analytical hierarchy process
  • slope