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Journal of Geography  & Natural Disasters

Journal of Geography  & Natural Disasters
Open Access

ISSN: 2167-0587

+44-20-4587-4809

Abstract

Applications and comparison of landslide susceptibility models along KKH and CPEC in North-Pakistan

Javed Iqbal,

Karakorum highway (KKH) in Pakistan which was opened for public in 1979 has been facing serious instability issues since its inauguration. Many segments of the KKH in north-Pakistan which runs parallel to sub-parallel to CPEC remains blocked every year due to landsliding and the KKH segment which passes through upper and lower Kohistan districts (about 150 kms) are the most unstable section. A comprehensive landslide inventory of this segment within a buffer zone of 8 kilometers along both sides of the highway was prepared using GAOFEN-I satellite images followed by selective field check. A total of 1340 landslides were identified including debris flows, rock falls, rock slides, debris slide. Next, thirteen thematic layers were prepared including slope, aspect, plan-curvature, prof-curvature, NDVI, relative relief from DEM; rainfall and PGA based on data from Pakistan Meteorological Department (PMD); lithology, distance to faults based; distance to streams; distance to roads on maps taken from Geological Survey of Pakistan (GSP) as well as from personal observations. All these thematic layers were used to generate landslide susceptibility maps using different models including Frequency Ratio (FR), Logistic Regression (LR), Information Vale (InV) and Weights-of-Evidence (WoE) models. Results of all these models were compared and it was found that the Weight-of-Evidence (WoE) model is most suitable model in the study area have success rate of 86.5 % and the prediction rate of 82.5 %. This study would be very helpful to engineers and policy makers of the KKH and CPEC as well as for researcher having the similar interest along these highways in particular and in other mountainous areas in general. In addition to this, findings of this study would be beneficial for construction of two mega hydropower dams which lie within the study area.

Published Date: 2020-09-12; Received Date: 2020-09-26

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