Open AccessEvaluation methods of regional bank slope stability based on geographic information systems and integrated information model
Author(s) -
Guo Yu,
Mingran Xie,
Yong Li
Publication year - 2022
Publication title -
journal of geography and cartography
Language(s) - English
Resource type - Journals
ISSN - 2578-1979
DOI - 10.24294/jgc.v5i1.1411
Subject(s) - lithology , geology , slope stability , stability (learning theory) , geographic information system , elevation (ballistics) , shadow (psychology) , geotechnical engineering , remote sensing , computer science , mathematics , geochemistry , geometry , psychology , machine learning , psychotherapist
Through the combination of the geographic information systems (GIS) and the integrated information model, the stability of regional bank slope was comprehensively evaluated. First, a regional bank slope stability evaluation index system was established through studying seven selected factors (slope grade, slope direction, mountain shadow, elevation, stratigraphic lithology, geological structure and river action) that have an impact on the stability of the slope. Then, each factor was rasterized by GIS. According to the integrated information model, the evaluation index distribution map based on rasterized factors was obtained to evaluate the stability of the regional bank slope. Through the analysis of an actual project, it was concluded that the geological structure and stratigraphic lithology have a significant impact on the evaluation results. Most of the research areas were in the relatively low stable areas. The low and the relatively low stable areas accounted for 15.2% and 51.5% of the total study area respectively. The accuracy of slope evaluation results in the study area reached 95.41%.