Assessing Landslide Susceptibility Using GIS: A Case Study of Xinluo District, Longyan, China

ABSTRACT Landslides represent the most prevalent type of geological hazard in Xinluo District, Longyan, posing significant impacts on local socio-economic development. Based on historical data of landslide events and the predisposing environmental conditions, this study selected three major assessment factors - topography, geological environment, and human activity-corresponding to eight causative factors: elevation, slope gradient, slope aspect, lithology, surface drainage, mean annual precipitation, distance to roads, and land use type. Using the information value model within a GIS platform, a landslide susceptibility assessment was conducted for Xinluo District. The results indicate that the landslide susceptibility in the area can be classified into four levels: very high, high, moderate, and low susceptibility zones, with areas of 306.37, 782.48, 927.15, and 519.82 km2, accounting for 12.08, 30.86, 36.56, and 20.50% of the total area, respectively. The high and moderate susceptibility zones are predominant, while the low susceptibility zone is relatively less extensive. The very high susceptibility zones are primarily distributed in certain townships. These findings can provide a scientific basis for landslide hazard prevention and mitigation strategies in Xinluo District.

Authors

Institutions

Publication Details

Journal
Journal of the Geological Society of India
Published
2026-05-01
DOI
https://doi.org/10.17491/jgsi/2026/174399
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Landslide Susceptibility Using GIS: A Case Study of Xinluo District, Longyan, China

Zhanlin Qiu, Yongping Zeng, Xuan Zha, Zhenxing Zou et al.
Journal of the Geological Society of India
Landslides and related hazards
article

Assessing Landslide Susceptibility Using GIS: A Case Study of Xinluo District, Longyan, China

Zhanlin Qiu, Yongping Zeng, Xuan Zha, Zhenxing Zou, Lizhen Xiao, Wenxiu Ruan, Guiling Zeng
article en

Abstract

ABSTRACT Landslides represent the most prevalent type of geological hazard in Xinluo District, Longyan, posing significant impacts on local socio-economic development. Based on historical data of landslide events and the predisposing environmental conditions, this study selected three major assessment factors - topography, geological environment, and human activity-corresponding to eight causative factors: elevation, slope gradient, slope aspect, lithology, surface drainage, mean annual precipitation, distance to roads, and land use type. Using the information value model within a GIS platform, a landslide susceptibility assessment was conducted for Xinluo District. The results indicate that the landslide susceptibility in the area can be classified into four levels: very high, high, moderate, and low susceptibility zones, with areas of 306.37, 782.48, 927.15, and 519.82 km2, accounting for 12.08, 30.86, 36.56, and 20.50% of the total area, respectively. The high and moderate susceptibility zones are predominant, while the low susceptibility zone is relatively less extensive. The very high susceptibility zones are primarily distributed in certain townships. These findings can provide a scientific basis for landslide hazard prevention and mitigation strategies in Xinluo District.

Journal of the Geological Society of IndiaVol. 102(5)
Fujian Normal University (CN), Longyan University (CN), Fujian Electric Power Survey & Design Institute (CN), Ministry of Science (ME), East China University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 5%
Landslides and related hazards
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.