The Study On Water Inrush Prediction And Early Warning Based On GIS In Huainan Coalfield

Coal is one of China’s primary energy demanded, with increasing demand forenergy, coal production increased year by year. At present, Huainan mining field isconstructing to be one of hundred million ton coal production base, with increasingin the intensity and speed of mining, water hazard to be the increasingly seriousproblem. Coal-bearing sandstone water inrush is the face of the most common typeof water inrush, and Limestone water inrush is most harmful. In order to ensuremining production safely， The prediction and warning of these two type waterinrush is the focus and difficult of the work of prevention and treatment of water.In this paper, on the basis of accessing to a large number of relevant literature, takecoal measures sandstone water and Limestone Water as a research object inHuainan Coalfield, combine the theoretical analysis and field applications, collectand analyze systematicly the geological data of hydrogeological data of Huainancoalfield, Summarized and analyzed the type and characteristics of water inrush ofthe Huainan mining area, analyzed the main factors affecting of water inrush,ArcGIS software as a platform to establish a water inrush forecast and earlywarning models of coal seam roof sandstone water and Limestone Water, and applyin Xieqiao Coalmine. The results showed that:The mainly type of water inrush in Huainan Coalfield is divided by the effluentwater: surface water inrush (the old coalfield), on the overlying of coal measuresCenozoic giant thick loose layer water inrush (new coalfield), the coal seam roofcracks water inrush, the Goaf water inrush, water inrush of the limestone below thecoal seam floor.The main influencing factors of roof sandstone aquifer water included: the rooflithology, aquifer thickness, structural complexity, and aquifer recharge conditions.the main influencing factors of roof sandstone aquifer water included: the seamfloor water pressure, the thickness of the impermeable layer, caused by thecomplexity and the backplanes of the damaged structure floor charge the rich waterof the water aquifer.From the result of application in Xieqiao Mine A1coal Floor water damage model, we can see clearly the two models predict results are essentially the same.Therefore, the forecast results of overlay analysis are credible. Compared theoverlay analysis method and water inrush coefficient method, the higher of Ts value,the greater the likelihood of the floor water inrush. The predictive value R ofMulti-source geo-information overlay analysis method not oly can express the sizeof the possibility of water inrush, but also to express the size of the potential risk ofwater damage, the greater the R value, the greater the degree of influence.Coal-bearing sandstone aquifer due to having no amount of water in generally,when happening to water inrush, so the study of coal measures sandstone waterinrush prediction model is less. According to the result of the application of roofwater damage model established in three Xieqiao Coal seam and the averageaccuracy rate is reach to80.9%. It able to make the prediction and evaluation of theseam roof water inrush risk, and could play the early warning role for mine roofwater inrush prediction.