CHARACTERISTICS COGNITION OF TYPICAL SURFACE GEOHAZARDS SCENE IN MINING AREAS AND REPRESENTATION OF GEO-INFOGRAPHICS SPECTRUM
Keywords: Surface Geohazards, Scene Cognition, Geo-infographics Spectrum, Mining Area
Abstract. The concept of surface geohazards in mining area is put forward, and the surface geohazards in mining area are divided into three categories: first is surface subsidence fissures, collapse, second is instability of structures, slope deformation hazards (high and steep slopes, landslides and collapses) , debris flows (debris flows, tailings reservoir dam break), third is vegetation cover degradation and environmental and ecological damage in mining area. Author analyses the research status of spatio-temporal characteristics of surface geohazards in mining areas and the representation of geo-infographics Spectrum. Characteristics of typical surface geohazards scene in mining areas can be recognized using multi-resource spatial data, adopting abstract generalization, visualization and analysis of the various features and phenomena from four aspects: geographical environment, geological environment, engineering activity and geohazards. The field presentations of spatial morphological structure and geo-environmental conditions and spatio-temporal process in surface geohazards characteristic area are summarized as data fields, which express the shape, structure, location and distribution of geohazard bodies, action and physical fields which is all fields affected the data field and the coupled field which is scalar or vector field formed by the coupling of two or more fields. By using spatial location, semantic description, attribute characteristics, geometric shape, evolution process and the information of the relationship between features, taking into account the characteristics of object structure, distribution and coupling, the geohazard infographics spectrum is constructed and characterize the multi-field geo-infographics spectrum of surface geohazards in mining areas. It is a composite analysis method of time and space. A preliminary example of geo-infographics spectrum is given.