AbstractAbout the AuthorsReferences
Landslides are a complex phenomenon that is now widely spread all over the world and damages not only the economies of individual countries and regions, but also leads to human casualties. Conducting spatial regional analysis of landslide susceptibility can become a basis for making managerial decisions, helping the population, planners and engineers to reduce the consequences, losses and damage caused by modern or future manifestations of landslides. In the article methodical approaches to the spatial analysis of landslide susceptibility with the help of GIS are considered. The author gives the main terminology of this approach, the general scheme of its implementation, a detailed mathematical analysis apparatus and recommendations for its implementation. The author also gives recommendations on the choice of factors affecting the landslides for their use in spatial regional analysis.
Krivoguz Denis Olegovich, Teaching assistant, junior research fellow of “Marine ecology” department Kerch state maritime technological university. 298309, Crimean Republic, Kerch, Ordzhonikidze, 82. E-mail: krivoguzdenis@gmail.com.
- Bilaşco Ş., Horvath C., Roşian G., Sorin F., Keller I.E. Statistical model using GIS for the assessment of landslide susceptibility. Case-study: The Someş Plateau // Journ. Geog. 2011. V. 55, Is. 2. P. 91-101.
- Ercanoglu M. Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks // Natural Hazards and Earth System Sciences. 2005. 5. P. 979-992.
- Liu S., Wu Y. Landslide Susceptibility Mapping in the Gangu County, China Using Artificial Neural Network and GIS.
- Saro L., Woo J.S., Kwan-Young O., Moung-Jin L. The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea // Open Geosci. 2016. 8. P. 117-132.
- Krivoguz D. Metodika ocenki opolznevoj ustojchivosti Kryma s pomoshh’ju GIS // Sovremennye nauchnye issledovanija i innovacii. 2016. No. 67 (11). P. 994-997. URL: http://web.snauka.ru/issues/2016/11/72166 (date of access: 30.05.2018).
- Krivoguz D. Vlijanie opolznevyh processov na komponenty okruzhajushhej sredy // Sovremennye nauchnye issledovanija i innovacii. 2016. No. 10 (66). P. 718-720. URL: http://web.snauka.ru/issues/2016/10/72165 (date of access: 29.05.2018).
- Burrough P.A. Principles of geographical information systems for land resources assessment. – Oxford : Oxford University Press, 1986. 193 p.
- Corominas J. et al. Recommendations for the quantitative analysis of landslide risk // Bull. Eng. Geol. Environ. 2014. 73. P. 209-263.
- Costanzo D. et al. Factors selection in landslide susceptibility modelling on large scale following the gis matrix method: application to the river Beiro basin (Spain) // Nat. Hazards Earth Syst. Sci. 2012. 12. P. 327-340.
- Gaprindashvili G., Van Westen C.J. Generation of a national landslide hazard and risk map for the country of Georgia // Natural Hazards. 2016. V. 80, Is. 1. P. 69-101.
- Hajian-Tilaki K. Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation // Caspian journal of internal medicine. 2013. V. 4, No. 2. P. 627-635.
- Lollino G. et al. Engineering geology for society and territory : V. 2: Landslide Processes. Berlin : Springer, 2015.
- Pellicani R., Van Westen C.J., Spilotro G. Assessing landslide exposure in areas with limited landslide information // Landslides : Journal of the International Consortium on Landslides. 2014. V. 11, Is. 3. P. 463-480.
- Wahono B.F.D. Applications of Statistical and Heuristic Methods for Landslide Susceptibility Assessments: A case study in Wadas Lintang Sub District. – Indonesia : Central Java Province : Wonosobo Regency, 2010. 106 c.
- Van Westen C.J., Asch T.W.J., Soeters R. Landslide hazard and risk zonation – why is it still so difficult? // Bulletin of Engineering Geology and the Environment. 2006. V. 65, Is. 2. P. 167-184.
- Van Westen C.J., Rengers N., Soeters R. Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment // Natural Hazards. 2003. V. 30, Is. 3. P. 399-419.
Section: Application of GIS technologies
Keywords: GIS, landslides, landslide susceptibility, spatial analysis, geoinformaics.