Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India

ABSTRACT

Landslides in the state of Mizoram result in damage to life and properties annually. The study focuses on landslide susceptibility zones by frequency ratio (FR), evidential belief function (EBF) and index of entropy (IOE) models. A total of 1,486 landslide points were used to build a relationship between 16 factors and landslide occurrences. The results reveal 14.44%, 19.64% and 3.55% of the area as very high susceptible zones in FR, EBF and IOE models, respectively. The AUC results support the adoption of the EBF model in land use planning and decision-making processes to enhance natural resource management and mitigate landslide risks in Mizoram.

KEYWORDS:

• Susceptibility
• frequency ratio
• index of entropy
• ROC curve

Acknowledgments

The authors are heartily thankful to the head of the Department of Geography and RM, Mizoram University for providing the necessary facilities to carry out the work. Further, the authors extend gratitude to Miss. Maria Lalengmawii for her help during the field survey. Both the authors are thankful to the Editor and two reviewers for their insightful comment and suggestion on a previous version of the manuscript. The authors acknowledge the University Grand Commission (UGC, New Delhi) for providing a Junior Research fellowship (Ref. no. 190510087462).

Disclosure statement

No potential conflict of interest was reported by the author(s).