Abstract
To quantitatively assess the landslide hazard in Khelvachauri, Georgia, the statistic method of hazard index was applied. A spatial database was constructed in Geographic Information System (GIS) including topographic data, geologic maps, land-use, and active landslide events (extracted from the landslide inventory). After that, causal factors of landslides (such as slope, aspect, lithology, geomorphology, land-use and soil depth) were produced to calculate the corresponding weights, and thereby we defined a relevant set of spatial criteria for the latter landslide hazard assessment. On top of that, susceptibility assessment was performed in order to classify the area to low, moderate and high susceptible regions. Results showed that NW aspect, mountain geomorphology, private land-use, laterite loam and clay, slope between 19 to 24 degrees, and soil depth between 10 - 20 cm were found to have the largest contribution to high landslide susceptibility. The high success rate (72.35%) was obtained using area under the curve from the landslide susceptibility map. Meanwhile, effect analysis was carried out to assess the accuracy of the landslide susceptibility, indicating that the factor of slope played the most important role in determining the occurring probability of landslide although it did not deviate as much as other factors. Finally, the vulnerability analyses were carried out by means of the Spatial Multi-Criteria Estimation model, which in turn, led to the risk assessment. It turned out that not so much of the number of buildings (~ 34.13%) was associated with high-risk zone and that governmental and private land-use almost accounted for the same risk (39.9% and 40.9%, respectively).
Highlights
Nowadays, quantitative landslide assessment is still inadequate due to too limited resources available for research, such as historic records of landslides and detailed socio-economic elements at risk
I.e. slope and aspect were always being thought as good indicators of the spatial criteria required in Spatial Multi-Criteria Estimation (SMCE)-based landslide susceptibility assessment
The results showed that despite the operational and conceptual limitations, landslide hazard assessment should be a suitable, cost-effective aid to land-use planning and hazard reduction
Summary
Quantitative landslide assessment is still inadequate due to too limited resources available for research, such as historic records of landslides and detailed socio-economic elements at risk. Bilistic model of landslides at different magnitudes that leads to a quantitative risk assessment. Most conventional landslide studies are descriptive and qualitative; it is imperative for data-driven assessment in combination with in-depth knowledge of all the causal factors for landslide. The quantitative approach applied in this study, is of great importance for the benefit of the government decision-makers, the urban planners and ulti- OPEN ACCESS IJG. Tools for handling and analyzing spatial data (i.e., GIS) facilitate the application of quantitative techniques in landslide hazard assessment and mapping. In terms of methods in evaluating a landslide hazard, they can be categorized into: geological, geotechnical, hydrological, geophysical modeling, and statistical approach
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
