Возможности прогноза активности оползневых явлений по результатам индуктивного моделирования и дистанционных методов исследований
Year: 2016
Type: article
Abstract: The object of study: Landslide processes developing in the Dnepropetrovskcity. Objective: to substantiate the accuracy of the existing classification of landslides in the Dnepropetrovsk city in order to develop methods of prediction landslide activity of remote research. Research Method: cartographic modeling, mathematical modeling, which includes the primary statistic, correlation, clustering, regression types of stochastic analysis and inductive modeling (group method of data). It was found that the solution of the research and prediction of landslides activation is impossible without an integrated approach to the study and analysis of landslide processes. The best results in the solution of this problem can be obtained by the monitoring of geological environment with using remote sensing (RS). In this work, the forecast of landslide activity methods of inductive modeling (group method of data) on the basis of a joint analysis results of monitoring the geological environment of Dnepropetrovsk, Dneprodzerzhinsk agglomeration (1983 – 2006. «Ukryuzhgeologiya») and are available free of remote sensing satellites LANLΛSAT 5 and LANLΛSAT .Keywords: landslide, remote sensing, group method of data, forecast
DOI: 10.15421/111616
Institution: Oles Honchar Dnipro National University
Language: Ukrainian
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2580000722