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GIS and ANN coupling model: an innovative approach to evaluate vulnerability of karst water inrush in coalmines of north China

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Environmental Geology

Abstract

In northern China, coal mining is often affected by groundwater inrushes from the underlying karst aquifers. Water inrush is controlled by geomorphology, regional geologic structure, and hydrogeologic conditions of the coalmines. A geographic information system (GIS) was constructed to evaluate the vulnerability of the water inrush for coalmines in north China. An artificial neural network (ANN) is used to determine the weight coefficient for each factor that affects the water inrush. The developed coupling technique can be used to forecast karst water inrushes and perform the sensitivity analysis for each factor.

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Acknowledgments

This research is supported by China National Natural Science Foundation (grant number 40572149) and the key project of China Ministry of Education (grant number 2004-295).

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Authors and Affiliations

  1. China University of Mining and Technology, Beijing, 100083, China

    Qiang Wu, Hua Xu & Wei Pang

  2. Beijing Institute of Petrochemical Technology, Beijing, 102617, China

    Hua Xu

Authors
  1. Qiang Wu
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  2. Hua Xu
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  3. Wei Pang
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Correspondence to Qiang Wu or Hua Xu.

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Wu, Q., Xu, H. & Pang, W. GIS and ANN coupling model: an innovative approach to evaluate vulnerability of karst water inrush in coalmines of north China. Environ Geol 54, 937–943 (2008). https://doi.org/10.1007/s00254-007-0887-3

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  • DOI: https://doi.org/10.1007/s00254-007-0887-3

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