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A nonlinear modeling and forecasting system of earth fractures based on coupling of artificial neural network and geographical information system—exemplified by earth fractures in Yuci City, Shanxi, China

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Environmental Geology

Abstract

Earth fracturing or fissuring is a natural phenomenon and a major geohazard in many countries. The factors that cause the earth to fracture were analyzed in Yuci City, in Shanxi Province of China using the geographical information system (GIS). A nonlinear simulation and assessment model of earth fracturing was established using the artificial neural network (ANN) technology to simulate the structure and function of the neural network (NN) of the human brain with engineering technology. The developed nonlinear modeling and forecasting system was used to assess and forecast the earth fracture hazard in Yuci City. The results of this study provided useful and essential information for scientific policy-making in the areas of city planning, environmental protection, and land development.

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Acknowledgements

This paper was made possible by the national Environmental Protection funding project, and has benefited from useful discussions with Dr. Wanfang Zhou and Ms. Jie Wang.

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Authors and Affiliations

  1. China University of Mining and Technology, 11 Ding, Xueyuan Road, Haidian District, 100083, Beijing , China

    Qiang Wu, Siyuan Ye, Xiong Wu & Peipei Chen

Authors
  1. Qiang Wu
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  2. Siyuan Ye
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  3. Xiong Wu
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  4. Peipei Chen
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Correspondence to Qiang Wu.

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Wu, Q., Ye, S., Wu, X. et al. A nonlinear modeling and forecasting system of earth fractures based on coupling of artificial neural network and geographical information system—exemplified by earth fractures in Yuci City, Shanxi, China. Env Geol 45, 124–131 (2003). https://doi.org/10.1007/s00254-003-0865-3

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  • DOI: https://doi.org/10.1007/s00254-003-0865-3

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