Document Type: ORIGINAL RESEARCH PAPER

Authors

1 Department of Geomorphology, Faculty of Geography Sciences, Kharazmi University, Tehran, Iran

2 Department of Geomorphology, Isfahan University, Isfahan, Iran

3 Human Resources Division, Municipality of Tehran, Tehran, Iran

4 Department of Economic Geology, Kharazmi University,Tehran,Iran

Abstract

The earth's surface, due to its natural conditions and its structure is always changing and reshaping. One of the created deformations is the land subsidence. This is the most dangerous events which can be seen in most urban areas especially in the agricultural plains today. This study aims at zoning land subsidence and recognition of geometrical factors in southwest of Tehran. To estimate and predict land subsidence, all the effective subsidence factors were identified. Among the factors, nine most important factors including, downfall of groundwater, thickness of clay, depth of groundwater, annual discharge of water from wells, the distance of well to each other, slop, elevation, land use and geology were evaluated. Ultimately, three variables were selected as the most important variables. For modeling and zoning these factors, artificial neural network using Matlab software and Arc-GIS software for creating primary layers were used. The results indicate that the main cause of subsidence is excessive removal of underground water resources. Since the use of water resources in agriculture is accounted for the highest percentage of consumption and also because a large part of the study area have an agriculture land use, therefore the underground water drop and agricultural land uses are the most susceptible areas of land subsidence occurrence.

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Abraham, A., (2005). Artificial neural networks. Handbook of measuring system design. DOI: 10.1002/0471497398.mm421
Akbari, M.; Jargah, M.R.; Madani sadat, H., (2009). Monitoring of grand water drop level using geographical information system (GIS), (case study: Mashad land aqufier). J. water soil conserve., 16(4): 63-78 (16 pages). (In Persian)
Alipour, S., (2007). Study of subsidence using InSAR techniques. M.Sc. Dissertation. University of Tehran, Iran. (In Persian)
Bani Asadi, F., (2007). Modeling land subsidence in Zarand plain of Kerman. M.Sc. Dissertation, University of Shahid Beheshti, Iran. (In Persian)
Basheer, I.A.; Hajmeer, M., ( 2000). Artificial neural networks: fundamentals, computing, design, and application. J. Microbiol. Meth., 43(1): 3-31(29 pages).
Bouwer, H., (1977). Land subsidence and cracking due to ground water depletion. Ground Water, 15(5): 358-364 (7 pages).
Chatterjee, R.S.; Roy, P.S.; Dadhwal, V. K.; Lakhera, R.C.; Quang, T.X.; Saha, R., (2007). Assessment of land subsidence phenomenon in Kolkata City, India using satellite-based D-InSAR technique; Curr. Sci., 93(1): 85–90 (6 pages).
Deb, K., (1999). Multi-objective genetic algorithms: Problem difficulties and construction of test problems. IEEE T. Evolut. Comput., 7(3): 205-230 (26 pages).
Forester, R.R. (2006). Land subsidence in southwest Utah from 1993 to 1998 measured with Interferometric Synthetic Aperture Radar (InSAR).Vol. 6, No. 5, Utah Geological Survey, Utah, USA.
Galloway, D.L.; Jones, D.R.; Ingebritsen, S.E., (eds.), (1999). Land subsidence in the United States: U.S. Geological Survey Circular 1182, Available at: http://pubs.usgs.gov/circ/circ1182/
Hu, R.L., Yue, Z.Q., Wang, L.U.; Wang, S.J., (2004). Review on current status and challenging issues of land subsidence in China. Eng. Geol., 76(1): 65-77 (13 pages).
Hultberg, S.G., (2000). Inter-temporal and spatial choice between ground and surface water in municipalities with land subsidence, Phd. Dissertation, University of Rice, Texas.
Jakson, J.D.; Helm, D.C.; Brumley, J.C., (2004). The role of proviscosity in evaluation land subsidence due to groundwater extraction from sedimentary basin. Int. Geophys., 43(4): 689-695 (7 pages).
Kia, M., (2014). Neural networks in Matlab. Qian academic publications, Iran. (In Persian).
Kumar, S., (2004). Neural networks: a classroom approach. Tata McGraw-Hill Education.
Maquaire, O.; Costa, S.; Soldati, M.; Zêzere, J.L., (2009). Geomorphological coastal effects of climate change along Channel shoreline. In European and Mediterranean Workshop’Climate Change Impact on Water-Related and MArine Risks.
Morseli, M., (2008). Land subsidence due to groundwater loss in the plains of Varamin. M.Sc. Dissertation. Shahid Beheshti University, Tehran. (In Persian)
Mosavi, Z., (2003). Study of land subsidence caused by underground water loss through the GPS and surveillance systems in plains of Iran. M.Sc. Dissertation, Tehran University, Iran. (In Persian)
Pakravan, Sh., (2007). The phenomenon of land subsidence due to groundwater extraction in southwest Tehran. M.Sc Dissertation, The University of Tehran, Iran. (In Persian)
Phien-Wej, N.; Giao, P.H.; Nutalaya, P., (2006). Land subsidence in Bangkok, Thailand. Eng. Geol., 82(4): 187-201 (15 pages).
Picton, Ph., (2008, [2000]). Neural networks. Trans. Mirsalehi, M.; Taghizsde Khaki, H., Ferdosi University of Mashhad Publication, Iran. (In Persian)
Shemshaki, A.; Blourchi, M.J.; Ansari, F., (2005). Study of land subsidence in the plain of Tehran Shhriar. Engineering Geology, Environmental Management Group, Geological survey of Iran, Ministry of industries ans mines. Engeo 84-06/02 Rep., Available at: www.gsi.ir/Images/Reports/subsidence.pdf   (In Persian)
Sun, H.; Grandstaff, D.; Shagam, R., (1999). Land subsidence due to groundwater withdrawal: potential damage of subsidence and sea level rise in southern New Jersey, USA. Environ. Geol., 37(4): 290-296 (7 pages).
Tabatabaei Aghda, S.M.; Mohseni Nasb, H., (2015). Rafsanjan plain subsidence due to groundwater drawdown. The second National Conference on Soil Mechanics and Foundation Engineering, Qom University, Iran. (In Persian)
Teatini, P.; Ferronato, M.; Gambolati, G.; Gonella, M., (2006). Groundwater pumping and land subsidence in the Emilia Romagna coastland, Italy: Modeling the past occurrence and the future trend. Water Resour. Res., 42(1).
Wei, Q., (2006). Land subsidence and water management in Shanghai. Delft University of Technology, Delft, The Netherlands.
Wolkersdorfer, C.;Thiem, G., (1999). Ground water withdrawal and land subsidence in northeastern Saxony (Germany). Mine Water Environ., 18(1): 81-92 (12 pages).
Xue, Y.Q.; Zhang, Y.;Ye, S.J.; Wu, J.C.; Li, Q.F., (2005). Land subsidence in China. Environ. Geol., 48(6): 713-720 (8 pages).
Zektser, I.S.; Lorne, E., (2004). Groundwater resources of the world: and their use. In IhP Series on groundwater (No. 6). Unesco.