Groundwater inrush in mines directly threatens safe coal production. Aquifer yield plays a crucial role during water inrush. Significant accidents occur in areas where aquifer yields are strong. The yield of an aquifer is influenced by many things and, in this study, five for which data are easily acquired were selected as evaluation indices for coal-seam floor aquifer yield. They comprise specific yield, permeability, drilling fluid consumption, aquifer thickness, and fault and fold distribution. Based on these indices, a comprehensive model for evaluating water yield was constructed. Using the Ordovician limestone aquifer below the coal floor of Danhou coal mine, Hebei province, China, as an example, index data relating to aquifer yield were collected and the index weight determined. A geographic information system was used to prepare a thematic map for each driving factor and, subsequently, to superimpose them. Comprehensive water yield evaluation indexes were obtained and, finally, a zonal map of different water yield properties was developed for the research area.
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Research Article|
March 01 2016
Multi-factor evaluation for the water yield properties of coal floor aquifers, based on GIS
Bo Li;
Bo Li
*
aKey Laboratory of Karst Environment and Geohazard Prevention, Ministry of Education, Guizhou University, Guiyang, Guizhou 550000, China
*Corresponding author. E-mail: [email protected]
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Qiang Wu;
Qiang Wu
bChina University of Mining and Technology, Beijing 100083, China
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Yulong Chen;
Yulong Chen
cDepartment of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan
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Ganlu Wang;
Ganlu Wang
dCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, Guizhou 550000, China
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Lei Xu
Lei Xu
eSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo, Henan 454000, China
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Water Practice and Technology (2016) 11 (1): 75–85.
Citation
Bo Li, Qiang Wu, Yulong Chen, Ganlu Wang, Lei Xu; Multi-factor evaluation for the water yield properties of coal floor aquifers, based on GIS. Water Practice and Technology 1 March 2016; 11 (1): 75–85. doi: https://doi.org/10.2166/wpt.2016.010
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