TY - BOOK ID - 32940114 TI - Research on Risk Evaluation Methods of Groundwater Bursting from Aquifers Underlying Coal Seams and Applications to Coalfields of North China PY - 2018 SN - 3319790293 3319790285 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Mine water. KW - Earth sciences. KW - Hydrogeology. KW - Geotechnical engineering. KW - Geographical information systems. KW - Mathematical physics. KW - Earth Sciences. KW - Geotechnical Engineering & Applied Earth Sciences. KW - Mathematical Applications in the Physical Sciences. KW - Geographical Information Systems/Cartography. KW - Water in mines KW - Groundwater KW - Hydraulic engineering. KW - Geographical information systems KW - GIS (Information systems) KW - Information storage and retrieval systems KW - Engineering, Hydraulic KW - Engineering KW - Fluid mechanics KW - Hydraulics KW - Shore protection KW - Geography KW - Physical mathematics KW - Physics KW - Engineering, Geotechnical KW - Geotechnics KW - Geotechnology KW - Engineering geology KW - Geohydrology KW - Geology KW - Hydrology KW - Mathematics UR - https://www.unicat.be/uniCat?func=search&query=sysid:32940114 AB - This book provides an information fusion model with information fusion theory, geographic information system technology and modern mathematical methods to evaluate the risks of groundwater inrushes from aquifers underlying coal seams. In this new model, the water inrush vulnerable index was calculated with variable weights theory. It overcomes the defect of the traditional vulnerability index method that assumes constant weights for the factors controlling the water inrush. Mine water inrush events often occur during coal mine construction and production; they account for a large proportion of the nation’s coal mine disasters and accidents in China. Between 2005 and 2014, 513 water inrush incidents have occurred with a total loss of 2,753 lives. As mining depths and mining intensity continue to increase, the hydrogeological conditions encountered are becoming more complex. The innovative model presented here was applied to two coal mines in China with proved better results than the traditional vulnerability index method. . ER -