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Numerical Computing and Forecasting to Land Subsidence in Coastal Regions of Tangshan

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Information Computing and Applications (ICICA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6377))

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Abstract

Coastal areas are an important part of Tangshan, which groundwater has been over exploited for a long time. The hazard of land subsidence has appeared and kept aggravating continuously. By studying the hydrogeology and engineering geology condition, a new understanding of deformation mechanism of land subsidence in Tangshan coastal areas has been found. According to the distribution of groundwater funnel(GF) and monitor data of groundwater, firstly, the mathematical model of developing tendency of GF is established and it is verified the results are similar with the real results. Then the conception of groundwater dynamics coefficient has been introduced and the development tendency model is established according to the depth value of GF center water above. Finally, combine the mathematical model and the rate of land subsidence, establish the numerical analysis model about land subsidence. The results conform to the truth of subsidence of coastal areas.

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References

  1. Papers Choices of Foreign Land Subsidence Technical Methods. Shanghai Geology Department. Geological Publishing, Beijing (1981)

    Google Scholar 

  2. Yuan, M., Yan, Y.: Status quo anslysis of ground subsidence in Suzhou City. Journal of Natural Disasters 1, 129–133 (2010)

    Google Scholar 

  3. Yang, L.-z., Zhang, G.-h., Liu, Z.-y., et al.: Relationship between deep groundwater resources composition and land subsidence under the condition of exploitation in Dezhou, Shangdong, China. Geological Bulletin of China 4, 111–119 (2010)

    Google Scholar 

  4. Li, J., Helm, D.C.: A nonlinear viscous model for aquifer compression associated with ASR applications. In: Carbognin, L., Cambolat, G., Ivan Johnson, A. (eds.) LAND SUBSIDENACE, Proceedings of the Sixth Internation Symposium on Land Subsidence, vol. II, Padova, La Garangola, Via Montona, pp. 319–330 (2000)

    Google Scholar 

  5. Ling, Y.: Computation Model and Prediction for Surface subsidence Caused by Pumping from Double-Layer Aquifer. Building Science 5, 65–68 (2010)

    Google Scholar 

  6. Xu, M., Wang, W., Yu, Q.: Ground Water and Land Subsidence Optimum Controlling Numerical Simulation in Tianjin Binhai New Are. Urban Geology 1, 13–18 (2010)

    Google Scholar 

  7. Zhu, Y., Chen, H., Zhang, D., et al.: Subsidence of Suzhou Area from 1995-2000 Detected by Persistent Scatterers for SAR Interferometry Technique. Advances in Earth Science 10, 90–96 (2010)

    Google Scholar 

  8. Bo, H., Hansheng, W.: Monitoring Ground Subsidence with Permanent Scatterers Interferometry. Journal of Geodesy and Geodynamics 30(2), 34–39 (2010)

    Google Scholar 

  9. Cai, D., Cheng, W., Fang, L., et al.: Research on Monitoring Statistical Model of Urban Land Subsidence. Bulletin of Surveying and Mapping 1, 19–22 (2010)

    Google Scholar 

  10. Zhang, K.-j., Xi, G.-y., Zhang, L.-b.: Application of Fuzzy Comprehen- sive Evaluation Based on Variable-weight Method in the Hazard Evaluation for Land Subsidence. Bulletin of Surveying and Mapping 1, 49–51 (2010)

    Google Scholar 

  11. Yang, M., Lu, J.: Characteristics and Prediction of Ground Settlement Around Deep Excavation in Shanghai. Journal of Tongji University (Natural Science) 2, 48–53 (2010)

    MathSciNet  Google Scholar 

  12. Zhao, W.-t., Li, L.: The mechanism of land subsidence and its prevention measures in Suzhou-Wuxi-Changzhou area. The Chinese Journal of Geological Hazard and Control 1, 92–97 (2009)

    Google Scholar 

  13. Li, T.-x., Wu, L.-j., Wu, X.-h., et al.: Current Situation and Countermeasures to Land Subsidence in Hebei Plain. Journal of Changjiang Engineering Vocational College 2, 32–35 (2009)

    Google Scholar 

  14. Geological Environment Monitoring Stations in Hebei Province. Geological Environment Monitoring Report of Tangshan City, Hebei Province, pp. 61–70 (2001)

    Google Scholar 

  15. Liu, J., Jin, X., Zhang, J.: A mathematical model about subsidence due to groundwater aquifer. Modern Geology 12(3), 419–423 (1998)

    Google Scholar 

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Tan, J., Tao, Z., Li, C. (2010). Numerical Computing and Forecasting to Land Subsidence in Coastal Regions of Tangshan. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Lecture Notes in Computer Science, vol 6377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16167-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-16167-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16166-7

  • Online ISBN: 978-3-642-16167-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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