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Analysis Of Mining Subsidence And Damage Based On GIS Technology

Posted on:2015-04-12Degree:MasterType:Thesis
Country:ChinaCandidate:X C HuangFull Text:PDF
GTID:2181330422486367Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
Currently,due to the mining subsidence problems arising from environmental damage has become increasingly a cause for concern. Mountainous western Loess varied topography, geology and geomorphology complex itself is a natural geological disaster-prone areas, mining subsidence and damage caused by more serious problems. With thepopularity of computers and GIS technology, applications, a large number of new techniques are applied to mining subsidence studies. This paper selects Shaanxi TongchuanCoal Railway and Qiaozai Liang Jian (structures) under the mining issue as an example, the use of existing mining subsidence theory and GIS technology is expected toground deformation caused by the destruction of the mining and mining safety programs were analyzed. The main contents and results are as follows:(1) Surface predictive model probability integration method, by writingC#program, you can easily predict the impact of any point mining subsidence area, curvature,horizontal movement and horizontal deformation values.(2) According to sink, horizontal movement and other data obtained on the subsidence is expected to generate TIN surface model, and the use of TIN data to achievea three-dimensional visualization subsidence.(3) Introduction of GIS technology to ARCGIS9as the operating platform, analysis, prediction and evaluation of the impact of mining on surface subsidence building(structure) according to GIS space, and proposed remediation measures.Technical support and implement programs for the results of this study not onlycoal mine in Tongchuan Qiaozai Liang railway and construction (structures) provide safe coal mining, for Shaanxi loess and exploitation of mining subsidence damage analy sis and evaluation is expected to provide a technical reference.
Keywords/Search Tags:Mining subsidence, Geographic Information System, Subsidence predictionsoftware
PDF Full Text Request
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