Conditions for the Formation of Landslides in the Territory of the Nakhchivan Autonomous Republic

The presented article investigates the geographical distribution, types, driving forces, and moisture conditions of landslides-one of the widespread slope processes in the territory of the Nakhchivan Autonomous Republic, using both traditional and modern remote sensing methods. The capabilities of the multizonal spectral images obtained during the study of landslides are thoroughly analyzed. Additionally, the geomorphological characteristics of landslides in the Nakhchivan Autonomous Republic, which have not been adequately studied, are characterized, and their impact on the formation and intensification of other natural processes, particularly mudflows, is demonstrated. As a result of the research, underground waters accumulated on various slopes have been identified, and landslide-prone slopes have been classified into four categories based on the degree of moisture. This outcome enables the prediction of the likelihood of large-scale landslides and the implementation of countermeasures in specific cases. To refine the prediction of landslide occurrence, a comparative analysis of infrared (IR) images taken at different times of the same areas was conducted, revealing a high probability of active landslides in the Batabat massif, Kechili, Boyahmed, Nasirvaz, and Khurs village settlements, as well as in the Tillak and Bichenek forests, and on the eastern and southeastern slopes of the Kuku mountain within the Nakhchivan Autonomous Republic.

Authors

Publication Details

Journal
UNIVERSITY NEWS NORTH-CAUCASIAN REGION NATURAL SCIENCES SERIES
Published
2024-12-23
DOI
https://doi.org/10.18522/1026-2237-2024-4-2-139-149
Primary Topic
Marine and environmental studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conditions for the Formation of Landslides in the Territory of the Nakhchivan Autonomous Republic

Giyas Hasrat Gurbanov
UNIVERSITY NEWS NORTH-CAUCASIAN REGION NATURAL SCIENCES SERIES
Marine and environmental studies
article

Conditions for the Formation of Landslides in the Territory of the Nakhchivan Autonomous Republic

Giyas Hasrat Gurbanov
article en

Abstract

The presented article investigates the geographical distribution, types, driving forces, and moisture conditions of landslides-one of the widespread slope processes in the territory of the Nakhchivan Autonomous Republic, using both traditional and modern remote sensing methods. The capabilities of the multizonal spectral images obtained during the study of landslides are thoroughly analyzed. Additionally, the geomorphological characteristics of landslides in the Nakhchivan Autonomous Republic, which have not been adequately studied, are characterized, and their impact on the formation and intensification of other natural processes, particularly mudflows, is demonstrated. As a result of the research, underground waters accumulated on various slopes have been identified, and landslide-prone slopes have been classified into four categories based on the degree of moisture. This outcome enables the prediction of the likelihood of large-scale landslides and the implementation of countermeasures in specific cases. To refine the prediction of landslide occurrence, a comparative analysis of infrared (IR) images taken at different times of the same areas was conducted, revealing a high probability of active landslides in the Batabat massif, Kechili, Boyahmed, Nasirvaz, and Khurs village settlements, as well as in the Tillak and Bichenek forests, and on the eastern and southeastern slopes of the Kuku mountain within the Nakhchivan Autonomous Republic.

UNIVERSITY NEWS NORTH-CAUCASIAN REGION NATURAL SCIENCES SERIES(4-2)
Openalex Percentile: Top 74%
Marine and environmental studies
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.