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Integrative analysis used for landslide susceptibility zoning at local scale based on GIS modeling
Author(s) -
DOBRESCU CorneliaFlorentina,
CĂLĂRAŞU ElenaAndreea,
HUZUISTOICULESCU Alina Elena
Publication year - 2018
Publication title -
ce/papers
Language(s) - English
Resource type - Journals
ISSN - 2509-7075
DOI - 10.1002/cepa.686
Subject(s) - zoning , landslide , geographic information system , scale (ratio) , computer science , multidisciplinary approach , data mining , spatial analysis , digital elevation model , stability (learning theory) , geography , cartography , geology , civil engineering , remote sensing , engineering , geotechnical engineering , machine learning , social science , sociology
Abstract The current use of risk assessment methods with parametric analysis and GIS‐based techniques to develop susceptibility models were implemented at local scale in a selected landslide prone areas, in order to improve the urban planning strategies and emergency management tools using site‐specific criteria. For spatial analysis and GIS numerical modeling, the geomorphologic data from digital elevation model were used. Combined semi‐quantitative and deterministic approaches were carried out to obtain spatial distribution mapping of stability factor on different sites. The semi‐quantitative method deals with quantification of several intrinsic parameters related to landslide process using the available national inventory database. In deterministic approach, the integration of infinite slope model based on geotechnical properties was performed for mapping stability factor and defining spatial distribution of susceptibility classes. Landslide information will contribute to further strategies for decision makers and planners using multidisciplinary assessment information.