Analytic hierarchy process (AHP) for research of landslide hotspot on the territory of Tsageri municipality (Racha-Lechkhumi and Kvemo Svaneti region, Georgia).
2024
The Analytic Hierarchy Process (AHP) using geographic information systems (GIS) and remote sensing technologies is often used to assess and conduct detailed monitoring of landslide-prone areas to support risk reduction and preparatory planning for disaster management. In our analytical hierarchy process model, the Normalized Difference Vegetation Index (NDVI) component is represented as a block. Using the vegetation index of the normalized difference, we conducted a ten-year study of the study region - Tsageri municipality. Based on the research, we obtained an empirical approach to the dynamics of the vegetation index of the normalized difference, which allows us to use the predictive change of the vegetation index of the normalized difference in connection with atmospheric precipitation, which is very important in the context of the current global warming. The analytical hierarchy process of the new landslide focus research, that we have adopted, allows to obtain more accurate data on the origin of the landslide occurring points, which allows us to preselect appropriate engineering measures to combat landslides and ensure the safety of populated areas and infrastructure located in risk zones. Fig. 13, Ref. 8.
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Este registro bibliográfico ha sido proporcionado por Georgian Research Institute for Scientific Technical Information