在矿区开采沉陷预计结果的可视化过程中,由于矿区原始地貌离散高程数据与开采沉陷预计格网数据这两种空间数据不一致,数据融合很复杂,很难将矿区受开采沉陷影响后的地貌详实的显示出来.为此,基于CASS软件有效地融合了这两种空间数据,并成功的实现了顾及地表沉陷的矿区地貌可视化.该方法形象真实的反映矿区开采地表沉陷后的地貌特征,为分析和评价开采沉陷损害程度以及沉陷区治理提供了依据.图5,表1,参10.
In the process of visualization for mining subsidence predicton, because of the inconsistency between the discrete data of primitive landform elevation and the grid data of mining subsidence prediction, fusion for these two data is very complex, and it is dflficuh to show the landform in mining area after mining subsidence. Therefore,two kinds of spatial data were effectively fused by means of CASS, and implemented visualization for landform in mining area considering surface subsidence. The method can vividly represents the geomorphologieal characteristics in mining area after mining subsidence, it also can provide the foundation for analysising the damage degree of mining subsidence and treatmenting subsidence area.5figs., 1tab., 10refs.