Skip to main content

Mining Subsidence Prediction Based on 3D Stratigraphic Model and Visualization

  • Chapter
Transactions on Edutainment VI

Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 6758))

Abstract

3D phenomenon involved in mining subsidence was Classified, summarized and aggregated, established the hierarchical structure that describing the geologic phenomena and engineering phenomena of stratum structure. Proposed a 3D stratigraphic model that mixed Multi-DEM with Tetrahedral Network. The model uses Multi-DEM to build layered surface of the earth’s surface and geology, and uses TEN to makeup inter layer geological mass. This is in favor of exactly expressing the surface information, and it is benefit to engineers and technicians to check the geological condition in the stratum, also it provides detailed geological mining conditions for the mining subsidence prediction research and accurately establishes prediction model. Engineering sample shows that the predicted results of the system is more close to the measured values.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Houlding, S.W.: 3D Geoscience Modeling,Computer Techniques for Geological Characterization. Springer, Berlin (1994)

    Book  Google Scholar 

  2. Burford, D.J., Ger, L., Blake, E.H., et al.: A seismic modelling environ-ment as a research and teaching tool for 3-D subsurface modelling. Int. J. of Applied Earth Observation and Geoinformation 2(2), 69–77 (2000)

    Article  Google Scholar 

  3. Galera, C., Bennis, C., Moretti, I., et al.: Construction of coherent 3D geological blocks. Computers and Geo-Sciences 29(8), 971–984 (2003)

    Article  Google Scholar 

  4. Hengxing Lan, C., Martin, D., Lim, C.H.: RockFall analyst: A GIS extension for 3D and spatially distributed rockfall hazard modeling. Computers and Geosciences 33(2), 262–279 (2007)

    Article  Google Scholar 

  5. Smirnoff, A., Boisvert, E., Paradis, S.J.: Support vector machine for 3D modeling from sparse geological information of various origins. Computers and Geosciences 34(2), 127–143 (2008)

    Article  Google Scholar 

  6. Crooks, A., Castle, C., Batty, M.: Key challenges in agent-based modeling for geospatial simulation. Computers, Environment and Urban Systems 32(6), 417–430 (2008)

    Article  Google Scholar 

  7. Napieralski, J., Harbor, J., Li, Y.: Glacial geomorphology and geographic information systems. Earth-Science Reviews 85(1-2), 1–22 (2007)

    Article  Google Scholar 

  8. Wu, Q., Xu, H.: An approach to computer modeling and visualization of geological faults in 3D. Computers & Geosciences 29(4), 507–513 (2003)

    Article  MathSciNet  Google Scholar 

  9. Zhang, H., Wen, Y., Liu, A., et al.: Basic of GIS algorithm. science press, Beijing (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Jia, R., Peng, Y., Sun, H. (2011). Mining Subsidence Prediction Based on 3D Stratigraphic Model and Visualization. In: Pan, Z., Cheok, A.D., MĂ¼ller, W. (eds) Transactions on Edutainment VI. Lecture Notes in Computer Science, vol 6758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22639-7_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22639-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22638-0

  • Online ISBN: 978-3-642-22639-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics