Javascript must be enabled to continue!
Development and Application of Models for Landslide Hazards in Northern Pakistan
View through CrossRef
In this paper, new models were investigated and developed for landslide hazards in Muzaffarabad District, located in the Azad Jammu and Kashmir region of Pakistan. The influential factors used in the landslide modelling were land use/landcover (LULC), elevation, slope, slope aspect, rainfall, drainage, road, surface roughness, and topographic index. The GIS-based Analytic Hierarchy Process (AHP) model was applied by utilizing the database of 35 active landslides and their pixels present in classes of all influential factors. The mean landslide hazard values, obtained from the mean landslide hazard analysis, were used as hazard weightages in the AHP model for development of a landslide hazard zone map. The highest mean hazard values for: (i) bare soil in LULC was 14.6%; (ii) 600–800 m in elevation was 6.89%; (iii) 30°–35° in slope was 6%; (iv) S and SW in slope aspect was 9.01%; (v) 1350–1405 mm/yr in rainfall was 9.03%; (vi) 40–80 m in buffered drainage was 12.83%; (vii) 40–80 m in buffered road was 12.48%; (viii) 60–138 in surface roughness index was 10.99%; (ix) −1.74–−1.25 in topographic position index was 13.07%. The percentages of very low, low, moderate, high, and very high landslide hazard zones were 1.48%, 11.80%, 39.36%, 37.36%, and 9.57% respectively. The co-efficient of the determination (r2) value of 0.96 indicated a strong relationship between the model development and validation. Thus, landslide hazard zone map models and methodology indicated a very high accuracy. This landslide hazard zone map could be utilized for the landslide damages’ reduction and the planning and development of road and building infrastructures in the study area. Additionally, this research could be replicated in other landslide prone areas of Pakistan for the minimizing the damages of landslides.
Title: Development and Application of Models for Landslide Hazards in Northern Pakistan
Description:
In this paper, new models were investigated and developed for landslide hazards in Muzaffarabad District, located in the Azad Jammu and Kashmir region of Pakistan.
The influential factors used in the landslide modelling were land use/landcover (LULC), elevation, slope, slope aspect, rainfall, drainage, road, surface roughness, and topographic index.
The GIS-based Analytic Hierarchy Process (AHP) model was applied by utilizing the database of 35 active landslides and their pixels present in classes of all influential factors.
The mean landslide hazard values, obtained from the mean landslide hazard analysis, were used as hazard weightages in the AHP model for development of a landslide hazard zone map.
The highest mean hazard values for: (i) bare soil in LULC was 14.
6%; (ii) 600–800 m in elevation was 6.
89%; (iii) 30°–35° in slope was 6%; (iv) S and SW in slope aspect was 9.
01%; (v) 1350–1405 mm/yr in rainfall was 9.
03%; (vi) 40–80 m in buffered drainage was 12.
83%; (vii) 40–80 m in buffered road was 12.
48%; (viii) 60–138 in surface roughness index was 10.
99%; (ix) −1.
74–−1.
25 in topographic position index was 13.
07%.
The percentages of very low, low, moderate, high, and very high landslide hazard zones were 1.
48%, 11.
80%, 39.
36%, 37.
36%, and 9.
57% respectively.
The co-efficient of the determination (r2) value of 0.
96 indicated a strong relationship between the model development and validation.
Thus, landslide hazard zone map models and methodology indicated a very high accuracy.
This landslide hazard zone map could be utilized for the landslide damages’ reduction and the planning and development of road and building infrastructures in the study area.
Additionally, this research could be replicated in other landslide prone areas of Pakistan for the minimizing the damages of landslides.
Related Results
Meteorological drivers of seasonal motion at the Barry Arm Landslide, Prince William Sound, Alaska
Meteorological drivers of seasonal motion at the Barry Arm Landslide, Prince William Sound, Alaska
Global climate change creates geologic hazard cascades as the cryosphere experiences warming. The rapid retreat of Barry Glacier, a tidewater glacier in Prince William Sound, Alask...
Landslide hydro-meteorological thresholds in Rwanda
Landslide hydro-meteorological thresholds in Rwanda
<p>For the development of regional landslide early warning systems, empirical-statistical thresholds are of crucial importance. The thresholds indicate the meteorolog...
Guidelines Of Indicator Based Landslide Vulnerability Analysis and Risk Classification for Critical Infrastructure in Malaysia
Guidelines Of Indicator Based Landslide Vulnerability Analysis and Risk Classification for Critical Infrastructure in Malaysia
Landslide is considered as the natural hazards that can cause harms to the environment, economy,and critical infrastructure. Damage to the critical infrastructure will further disr...
Landslide risk for the territory of Bulgaria by administrative districts
Landslide risk for the territory of Bulgaria by administrative districts
An assessment of the landslide risk (Rls) for the territory of Bulgaria by administrative districts has been made by combining the vulnerability (V) and landslide hazard (Hls) maps...
Investigation of planar sliding deformation and analysis of the damage mechanism of a rocky landslide in Yaoping triggered by highway excavation in Hubei, China
Investigation of planar sliding deformation and analysis of the damage mechanism of a rocky landslide in Yaoping triggered by highway excavation in Hubei, China
During projects to build roads in China's mountainous areas, which are often characterized by the poor stability of rocky slopes, cases of deformation damage occur frequently. Beca...
Comparing the performance of Machine Learning Methods in landslide susceptibility modelling
Comparing the performance of Machine Learning Methods in landslide susceptibility modelling
Landslide phenomena are considered as one of the most significant geohazards with a great impact on the man-made and natural environment. If one search the scientific literature, t...
History and present state of the Slano Blato landslide
History and present state of the Slano Blato landslide
Abstract. The Slano Blato landslide is more than 1290m long, 60 to 200m wide and 3 to 11m deep with a volume of about 700000m3. It is located in the Eocene flysch region of western...
The Kangjiapo landslide in Wanzhou district, Chongqing city: reactivation of a deep-seated colluvial landslide in the Three Gorges Reservoir
The Kangjiapo landslide in Wanzhou district, Chongqing city: reactivation of a deep-seated colluvial landslide in the Three Gorges Reservoir
Abstract
How to reduce landslide risk economically and effectively is a very meaningful and challenging research topic. In particular, it is difficult and expensive to comp...

