A multi-criteria GIS model for geohazard assessment in the Charvak reservoir area, Uzbekistan

Mountainous reservoir regions are particularly susceptible to geohazards due to steep topography, fractured lithologies, active faults, and seasonal hydrological fluctuations. The Charvak basin in northeastern Uzbekistan, designated as a Free Tourist Recreation Zone, is increasingly affected by expanding infrastructure and tourism, which increases exposure to natural hazards. This study presents the first integrated geohazard susceptibility map of the Charvak basin using remote sensing and multi-criteria GIS analysis. A GIS-based model was developed to evaluate slope-related hazards—landslides, debris flows, and rockfalls—based on six indicators: slope gradient, lithological strength, lineament density, Normalized Difference Water Index (NDWI), distance to active faults, and distance to the reservoir shoreline. The indicators were weighted using the Analytic Hierarchy Process (AHP), with slope gradient (0.28) and lineament density (0.24) identified as dominant factors. The resulting composite index was validated through comparison with landslide and debris flow inventories as well as seismicity data. The susceptibility map indicates that ∼19 % of the basin falls into high and very high hazard classes, while ∼48 % is classified as low to very low. High-susceptibility zones overlap substantially with infrastructure, including 21 % of villages and tourism facilities and 27 % of the road network. These findings provide a spatial basis for risk-informed land-use regulation, infrastructure planning, and disaster management in the Charvak region. More broadly, the study demonstrates the effectiveness of combining remote sensing and multi-criteria GIS methods for geohazard assessment in other mountainous and data-limited environments.

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Publication Details

Journal
The Egyptian Journal of Remote Sensing and Space Science
Published
2025-09-01
DOI
https://doi.org/10.1016/j.ejrs.2025.09.003
Primary Topic
Landslides and related hazards
Type
article
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article

A multi-criteria GIS model for geohazard assessment in the Charvak reservoir area, Uzbekistan

Дилбархон Фазилова, Khasan Magdiev, Mirshodjon Makhmudov, Alisher Fazilov
The Egyptian Journal of Remote Sensing and Space Science
Landslides and related hazards
article

A multi-criteria GIS model for geohazard assessment in the Charvak reservoir area, Uzbekistan

Дилбархон Фазилова, Khasan Magdiev, Mirshodjon Makhmudov, Alisher Fazilov
article en

Abstract

Mountainous reservoir regions are particularly susceptible to geohazards due to steep topography, fractured lithologies, active faults, and seasonal hydrological fluctuations. The Charvak basin in northeastern Uzbekistan, designated as a Free Tourist Recreation Zone, is increasingly affected by expanding infrastructure and tourism, which increases exposure to natural hazards. This study presents the first integrated geohazard susceptibility map of the Charvak basin using remote sensing and multi-criteria GIS analysis. A GIS-based model was developed to evaluate slope-related hazards—landslides, debris flows, and rockfalls—based on six indicators: slope gradient, lithological strength, lineament density, Normalized Difference Water Index (NDWI), distance to active faults, and distance to the reservoir shoreline. The indicators were weighted using the Analytic Hierarchy Process (AHP), with slope gradient (0.28) and lineament density (0.24) identified as dominant factors. The resulting composite index was validated through comparison with landslide and debris flow inventories as well as seismicity data. The susceptibility map indicates that ∼19 % of the basin falls into high and very high hazard classes, while ∼48 % is classified as low to very low. High-susceptibility zones overlap substantially with infrastructure, including 21 % of villages and tourism facilities and 27 % of the road network. These findings provide a spatial basis for risk-informed land-use regulation, infrastructure planning, and disaster management in the Charvak region. More broadly, the study demonstrates the effectiveness of combining remote sensing and multi-criteria GIS methods for geohazard assessment in other mountainous and data-limited environments.

The Egyptian Journal of Remote Sensing and Space ScienceVol. 28(3)
Tashkent State Technical University named after Islam Karimov (UZ), Ministry of Health of the Republic of Uzbekistan (UZ), Tashkent Institute of Architecture and Civil Engineering (UZ), Ulugh Beg Astronomical Institute (UZ), Ministry of Economy of the Republic of Uzbekistan (UZ), National University of Uzbekistan (UZ)
Openalex Percentile: Top 66%
Landslides and related hazards
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