Landslide susceptibility evaluation of Iruvazhinji watershed of Chaliyar River, Central Kerala, India, using frequency ratio approach

The frequency ratio (FR) model is employed for the landslide susceptibility analysis of Iruvazhinji watershed of Chaliyar river basin, central Kerala. For the present study, slope, slope aspect, slope curvature, elevation, Slope Forming Material (SFM), drainage density, distance from river, Topographic Wetness Index (TWI), Land Use/Land Cover (LULC), and Normalised Vegetation Index (NDVI) have been considered as landslide causative factors. The spatial relationship between these factors and landslide occurrences in the study area was examined, and the results showed that SFM, elevation, and slope angle have a significant control over landslide occurrence. Using the FR algorithm, we generated a Landslide Susceptibility Map (LSM) and zonal categorization of the study area into low, moderate, high, and very high susceptibility zones. Most of these areas are classified as either high or very high susceptibility zones, reflecting a higher potential for landsliding in the study area. The validation of the susceptibility map was carried out via calculation of the Area Under the Curve (AUC) of Receiver Operating Characteristic (ROC) analysis, which points to a high level of landslide susceptibility model accuracy. The findings of this study help in land use planning, hazard mitigation, and disaster risk in vulnerable landslides, as well as support in improving resistance measures against disaster management due to landslides.

Authors

Institutions

Publication Details

Journal
Journal of Degraded and Mining Lands Management
Published
2024-12-31
DOI
https://doi.org/10.15243/jdmlm.2025.122.7111
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Landslide susceptibility evaluation of Iruvazhinji watershed of Chaliyar River, Central Kerala, India, using frequency ratio approach

S. Rajappan, A N Manoharan, Melvin Babu, Hitha Manohar
1 citations
Journal of Degraded and Mining Lands Management
Landslides and related hazards
0.71
article

Landslide susceptibility evaluation of Iruvazhinji watershed of Chaliyar River, Central Kerala, India, using frequency ratio approach

S. Rajappan, A N Manoharan, Melvin Babu, Hitha Manohar
article en
1 citations

Abstract

The frequency ratio (FR) model is employed for the landslide susceptibility analysis of Iruvazhinji watershed of Chaliyar river basin, central Kerala. For the present study, slope, slope aspect, slope curvature, elevation, Slope Forming Material (SFM), drainage density, distance from river, Topographic Wetness Index (TWI), Land Use/Land Cover (LULC), and Normalised Vegetation Index (NDVI) have been considered as landslide causative factors. The spatial relationship between these factors and landslide occurrences in the study area was examined, and the results showed that SFM, elevation, and slope angle have a significant control over landslide occurrence. Using the FR algorithm, we generated a Landslide Susceptibility Map (LSM) and zonal categorization of the study area into low, moderate, high, and very high susceptibility zones. Most of these areas are classified as either high or very high susceptibility zones, reflecting a higher potential for landsliding in the study area. The validation of the susceptibility map was carried out via calculation of the Area Under the Curve (AUC) of Receiver Operating Characteristic (ROC) analysis, which points to a high level of landslide susceptibility model accuracy. The findings of this study help in land use planning, hazard mitigation, and disaster risk in vulnerable landslides, as well as support in improving resistance measures against disaster management due to landslides.

Journal of Degraded and Mining Lands ManagementVol. 12(2)
Kannur University (IN)
Climate action
Openalex Percentile: Top 19%
Landslides and related hazards
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.