Research on Risk Evaluation Methods of Groundwater Bursting from Aquifers Underlying Coal Seams and Applications to Coalfields of North China (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	December 2018
First published:	2018
Authors:	Yifan Zeng
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	151
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-007709-9
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Earth & environment > Earth sciences > The hydrosphere > General Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Promotions
LSN:	3-03-007709-8
Barcode:	9783030077099

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