Application of
Bivariate Statistical Method for Landslide Susceptibility Assessment along Srinagar-Bandipora
Highway, North Kashmir Himalaya
Beigh Iftikhar Hussain and Bukhari Syed Kaiser
Disaster Advances; Vol. 17(11); 59-70;
doi: https://doi.org/10.25303/1711da059070; (2024)
Abstract
The present study aims to create and evaluate a map indicating the potential of
landslides along the Srinagar-Bandipora highway in the North Kashmir Himalaya region.
Therefore, the study utilized the Bivariate Statistical Relative effect (RE) method
to establish the correlation between casual factors (CFs) contributing to landslides
and the actual landslide incidences. Additionally, fifteen different CFs were analyzed
within a Geographic Information System (GIS) framework to assess the impact of these
factors on landslides. Further, a comprehensive GIS-based inventory map was compiled,
incorporating both primary and secondary data sources, to identify landslide locations.
A landslide susceptibility zonation (LSZ) map was developed by integrating all identified
landslide CFs along with their respective effect function values.
Moreover, the results revealed that 21.06% of the study area was classified as having
a very high to high susceptibility to landslides. To validate the accuracy of the
produced map, 30% of landslide validation data was employed and the receiver operating
characteristics (ROC) curve method was utilized, yielding an excellent result with
an area under curve (AUC) value of 0.919 for the study area. Consequently, the findings
of this study hold significant potential for mitigating landslide-related hazards
and guiding land use planning projects.
