LNRF-Based Landslide Zonation: Enhancing Risk Assessment in Badakhshan, Afghanistan

Landslides are a major geological hazard with significant annual consequences for humans and the economy. Hence, it is imperative to scrutinize and comprehend the elements that contribute to these occurrences and formulate efficient management strategies. Establishing zoning for risk assessment, damage evaluation, and management is crucial because of landslides' manageable and predictable nature compared to other natural disasters such as floods, volcanoes, and earthquakes. This study aims to examine the factors that contribute to the occurrence of landslides and evaluate their frequency in the Argo district of Badakhshan Province, Afghanistan, using mathematical and quantitative models. This study examined and digitally mapped several vital factors that significantly impact the occurrence of landslides, such as fault lines, proximity to roads, rock type, slope gradient, slope aspect, and land use. This analysis was conducted using the ArcGIS software. ETM and TM satellite images and Google Earth imagery were used for visual examination. The Landslide Numerical Risk Factor (LNRF) model helped generate weighted maps identifying areas with a high landslide risk in the study region. The results showed that the west slope shows moderate instability and 12% landslide extent, and southeast slopes, though smaller, are more susceptible to landslides, with instability levels and extents of 15% and 17%, respectively. Most landslides in this region occurred within 100 m of faults. The area affected by landslides is 7 ha, or 43% of the total area.

Authors

Institutions

Publication Details

Journal
Energy & Environment Management
Published
2025-03-06
DOI
https://doi.org/10.63333/eem.v1n14
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

LNRF-Based Landslide Zonation: Enhancing Risk Assessment in Badakhshan, Afghanistan

Reza Jafari, Longsheng Deng, Mohammad Amin Amini, Waqas Hassan et al.
1 links
Energy & Environment Management
Landslides and related hazards
article

LNRF-Based Landslide Zonation: Enhancing Risk Assessment in Badakhshan, Afghanistan

Reza Jafari, Longsheng Deng, Mohammad Amin Amini, Waqas Hassan, Fatima Zahra Zidane
article en

Abstract

Landslides are a major geological hazard with significant annual consequences for humans and the economy. Hence, it is imperative to scrutinize and comprehend the elements that contribute to these occurrences and formulate efficient management strategies. Establishing zoning for risk assessment, damage evaluation, and management is crucial because of landslides' manageable and predictable nature compared to other natural disasters such as floods, volcanoes, and earthquakes. This study aims to examine the factors that contribute to the occurrence of landslides and evaluate their frequency in the Argo district of Badakhshan Province, Afghanistan, using mathematical and quantitative models. This study examined and digitally mapped several vital factors that significantly impact the occurrence of landslides, such as fault lines, proximity to roads, rock type, slope gradient, slope aspect, and land use. This analysis was conducted using the ArcGIS software. ETM and TM satellite images and Google Earth imagery were used for visual examination. The Landslide Numerical Risk Factor (LNRF) model helped generate weighted maps identifying areas with a high landslide risk in the study region. The results showed that the west slope shows moderate instability and 12% landslide extent, and southeast slopes, though smaller, are more susceptible to landslides, with instability levels and extents of 15% and 17%, respectively. Most landslides in this region occurred within 100 m of faults. The area affected by landslides is 7 ha, or 43% of the total area.

Energy & Environment ManagementVol. 1(1)
University of Tehran (IR), Chang'an University (CN), China Geological Survey (CN)
Climate action
Openalex Percentile: Top 95%
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.

LNRF-Based Landslide Zonation: Enhancing Risk Assessment in Badakhshan, Afghanistan — Reza Jafari, Longsheng Deng, et al. · Energy & Environment Management (2025) | TGRS Research Map | TGRS