The methodology was developed and the socio-economic risk of the manifestation of abrasion and landslide processes in the coastal zone of the Azov Sea was evaluated. The methodology includes assessing the degree of danger of coastal processes and determining possible material losses. The numerical index of socio-economic risk is calculated as the product of point estimates of these parameters. The main factors of dangerous coastal processes formation have been established, according to their similar combination in the coastal zone of the Azov Sea, 42 functional areas and the impact zone of hazardous abrasion and landslide processes predicted for a 20-year period have been identified. In the forecast zone, 112 socio-economic objects were identified that are subject to the influence of dangerous abrasion and landslide processes. For these socio-economic objects, using the standard set of tools of the public GIS service “Cadastral map of Rosreestr”, an enlarged calculation of possible economic damage has been made. The highest values of the socio-economic risk of the manifestation of abrasion and landslide processes in the coastal zone of the Azov Sea fall on abrasion and abrasion-landslide sections of the coast with a high rate of abrasion, a large number of capital construction projects and a high value of material losses.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.