IJG  Vol.2 No.2 , May 2011
Zonation and Prediction of Land Subsidence (Case Study-Kerman, Iran)
Abstract: Drought and Immethodical ground water withdrawal in recent years has caused numerous problems such as subsidence due to falling of subsurface water table, the reduction of water quality, etc. in cities across the world. This research as a case study deals with harmful effects of subsurface water withdrawal in the city of Kerman and practical monitoring of the subsidence and makes prediction of land subsidence. The artificial neural network has been used for modeling the monitored results and prediction of future subsidence. A surveying network with more than 500 installed benchmarks in an area of 334 square kilometer has been used to measure the subsidence of the city area. Benchmarks were installed in the beginning of 2004 and were monitored at the end of 2004, 2006, and 2007. For modeling, extra data were obtained from Iranian Surveying Organization for the years before 2004. The resulting model showed that, the subsidence varies between zero and 15cm per year in different parts of the City, which depends on the subsurface-layered soils, their compressibility, and the manner of subsurface water withdrawal.
Cite this paper: nullS. VaeziNejad, M. Tofigh and S. Marandi, "Zonation and Prediction of Land Subsidence (Case Study-Kerman, Iran)," International Journal of Geosciences, Vol. 2 No. 2, 2011, pp. 102-110. doi: 10.4236/ijg.2011.22011.

[1]   J. F. Poland, “Guide Book to Studies of Land Subsidence Due to Ground-Water Withdrawal,” United Nations Edu- cational, Scientific and Cultural Organization, Paris, 1984.

[2]   M. Barbarella, A. Gubellini, P. Russo and A. Vettore, “Time Series Analysis by Collocation on the Vertical Movements of the Asinelli Tower in Bologna,” Conference of Height Determination and Recent Vertical Movements in Western Europe, Hanover, 15-19 September 1986, pp. 687-702.

[3]   T. L. Holzer, S. N. Davis and B. E. Lofgen, “Faulting Caused by Groundwater Extraction in South-Central Arizona,” Journal of Geophysical Research, Vol. 84, No. B2, 1979, pp. 603-612. doi:10.1029/JB084iB02p00603

[4]   F. L. Metzger, M. E. Ikehara and F. J. Howle, “Vertical-Deformation, Water-Level, Microgravity, Geodetic, Water-Chemistry and Flow-Rate Data Collected during Injection, Storage and Recovery Tests at Lancaster, Antelope Valley, California, September 1995 through September 1998,” U.S. Geological Survey, Open-File Report 01-414,159, 2001.

[5]   M. Sneed, S. V. Stork and L. D. Galloway, “Detection and Measurement of Land Subsidence Using Global Positioning System and Interferometric Synthetic Aperture Radar, Coachella Valley, California, 1998-2000,” U.S. Geological Survey, Water Resources Investigation Report 02-4239, 2002.

[6]   R. K. Gabrysch, “Land-Surface Subsidence in the Houston-Galveston Region, Texas,” Proceeding of 7th International Symposium on Land Subsidence, Shanghai, 23-28 October 2005, pp. 736-743.

[7]   D. Galloway, D. R. Jones and S. E. Ingebritsen, “Land Subsidence in the United States,” U.S. Geological Survey Report, 1999.

[8]   S. C. Stiros, “Subsidence of the Thessaloniki (Northern Greece) Coastal Plain, 1960-1999,” Journal of Engineering Geology, Vol. 61, No. 4, 2001, pp. 243-256.

[9]   I. D. Doukas, I. M. Ifadis and P. Savvaidis, “Monitoring and Analysis of Ground Subsidence Due to Water Pumping in the Area of Thessaloniki, Hellas,” FIG Working Week, Athens, 22-27 May 2004, pp. 1-14.

[10]   N. Phien-Wej, P. H. Giao and P. Nutalaya, “Land Subsidence in Bangkok, Thailand,” Engineering Geology, Vol. 82, No. 4, 2006, pp. 187-201. doi:10.1016/j.enggeo.2005.10.004

[11]   T. M. Thu and D. G. Fredlund, “Modelling Subsidence in the Hanoi City-Area Vietnam,” Canadian Geotechnical Journal, Vol. 37, No. 3, 2000, pp. 621-637. doi:10.1139/t99-126

[12]   K. J. Larson, H. Basagaoglu and M. A. Marino, “Prediction of Optimal Safe Ground Water Yield and Land Subsidence in the Los Banos-Kettleman City Area, California, Using a Calibrated Numerical Simulation Model,” Journal of Hydrology, Vol. 242, No. 1-2, 2001, pp. 79-102. doi:10.1016/S0022-1694(00)00379-6

[13]   T. Ambrozic and G. Turk, “Prediction of Subsidence Due to Underground Mining by Artificial Neural Networks,” Journal of Computers & Geoscience, Vol. 29, No. 5, 2003, pp. 627-637.