DocumentCode
2008262
Title
The prediction and forecast of coal floor water-inrush based on GIS: A case study on the I-1 mining district in the 5# coal mine in Pingdingshan area
Author
Li Feng-jun ; Zheng Ji-dong
Author_Institution
Economic Manage. Coll., China Univ. of Geosci., Wuhan, China
Volume
2
fYear
2010
fDate
17-18 July 2010
Firstpage
663
Lastpage
666
Abstract
Based on GIS, especially on its spatial analysis function, a case study on the predicting and forecasting of the risk of coal floor water-inrush was practiced in the I-1 mining district in the 5# coal mine in Pingdingshan coal area in this article. The 5# mine of Pingdingshan coal area belongs to the typical Carboniferous-Permian coal mining area which were threaten seriously by the coal floor water-inrush, and water-inrush related to the water pressure, the stability of water-resisting layers, faults and other geological, hydro-geological and mining conditions. According to the statistics data of the 5# mine, during the first stage of mining I coal group in deep region with small scale, 43 times of water-bursting events from L7 limestone Karst water were selected in the study. With the spatial analysis function of MAPGIS, the law of water-inrushing were analyzed, it showed that the analysis and simulation through compounding with multi-factors help to predict and to forecast accurately and effectively, for the mining of deep coal resources. And the methods, procedures, and basic process of the application with GIS on the predicting and forecasting of water-inrush are introduced; water-inrush model was established. According to the water-bursting model and partition threshold, subregion of risk zone is repartition in I coal mining district of the 5# mine in Pingdingshan coal area.
Keywords
coal; forecasting theory; geographic information systems; mining; prediction theory; production engineering computing; risk analysis; water; Carboniferous-Permian coal mining area; GIS; I-1 mining district; MAPGIS; Pingdingshan Area; coal floor water-inrush; coal mine; hydro-geological conditions; limestone Karst water; mining conditions; partition threshold; risk forecasting; risk predicting; spatial analysis; stability; water pressure; water-bursting model; water-resisting layers; Forecasting; Geographic Information Systems; Geology; Indexes; Monitoring; Surges; GIS; coal floor; predicting and forecasting; water-inrush;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7387-8
Type
conf
DOI
10.1109/ESIAT.2010.5568339
Filename
5568339
Link To Document