journal article
LitStream Collection
Application of bivariate relative effect model for landslide hazard zonation along a part of National Highway-1 in the North Kashmir Himalaya, India
Beigh, Iftikhar Hussain; Bukhari, Syed Kaiser
doi: 10.1504/ijem.2024.143318pmid: N/A
The study aims to develop a landslide hazard zonation (LHZ) map along the National Highway-1 in Kashmir Himalaya, India, utilising the relative effect model (REM). Therefore, the final LHZ map was created by combining all the factors contributing to landslides, with each factor assigned a weight according to its relative effectiveness. Further, the LHZ map was trained and validated using a significant landslide database. Furthermore, a generated LHZ map was categorized into the five hazard classes viz., very high (7.39%), high (20.83%), moderate (30.88%), low (26.94%), and very low (13.95%). According to the receiver operating characteristic (ROC) evaluation result, the final LHZ map shows an area under the curve (AUC) value of 0.761. Moreover, the LHZ map generated in this study can be utilised for development planning, slope management, and landslide hazard mitigation to reduce the likelihood of landslides in the area.