Zoning Areas Susceptible to Land Subsidence in Tigris and Euphrates Basins | ||
| Engineering and Technology Journal | ||
| Article 7, Volume 37, 7A, July 2019, Pages 265-272 PDF (2.17 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.30684/etj.37.7A.7 | ||
| Authors | ||
| Ali Darvishi Boloorani1; Masoud Soleimani1; Ramin Papi1; Seyed Kazem Alavipanah1; Ayad M. Fadhil Al-Quraishi2 | ||
| 1Department of RS&GIS, Faculty of Geography, University of Tehran - Iran | ||
| 2Environmental Engineering Department, College of Engineering, Knowledge University - Iraq | ||
| Abstract | ||
| Land Subsidence is considered as one of the riskiest hazards in nature and geology. It may be caused by human activities including but not limited to long-term depletion of water, petroleum, and gas from underground reservoirs. Monitoring and zoning of regions susceptible to land-subsidence within Tigris and Euphrates rivers basin can play a major role in predicting and preventing damages from subsidence and can aid in better planning for utilizing its water resources. Accordingly, this study proposed to employ 9 effective parameters on subsidence including: precipitation, total water underground changes, elevation, slope, population, land use, distance from petroleum and gas fields, distance from faults, and distance from rivers. Decision Making Trial and Evaluation Laboratory method was applied for analyzing relationships between parameters. Fuzzy Analytical Hierarchy Process and Boolean methods were combined to produce zoning maps of Tigris and Euphrates basin subsidence. The results were indicative of the high potential of subsidence in zones contributing to 1.39% of the total area of the Tigris and Euphrates basin. Inter-parameter analysis by using of Decision Making Trial and Evaluation Laboratory indicated that land cover, total water underground changes, and population were the most impressible factors in land subsidence zoning, respectively. | ||
| Keywords | ||
| Land subsidence zoning; remote sensing; Tigris and Euphrates Basin | ||
| References | ||
|
[1] D.L. Galloway, K.W. Hudnut, S.E. Ingebritsen, S.P. Philis, G. Peltzer, F. Rogez, and P.A. Rosen, “Detection of aquifer system compaction and land subsidence using interferometric synthetic aperture radar, Antelope valley, Mojave Desert, California,” Water Resour. Res., 34, 2573-2585, 1998. [2] F. Amelung, D.L. Galloway, J.W. Bell, H.A. Zebker, and R.J. Laczniak, “Sensing the ups and downs of Las Vegas: InSAR reveals structural control of land subsidence and aquifer system deformation,” Geology, 27, 6, PP. 483-486, 1999. [3] H.Z. Abidin, R. Djaja, D. Darmawan, S. Hadi, A. Akbar, H. Rajiyowiryono, Y. Sudibyo, L. Meilano, M. A. Kusuma, J. Kahar, and C. Subarya, “Land subsidence of Jakarta (Indonesia) and its geodetic monitoring system,” Nat. Hazards, 23, PP. 365-387, 2001. [4] A. Schmidt, and R. Burgmann, “Timedependent land uplift and subsidence in the Santa Clara valley, California, from a large interferometric synthetic aperture radar data set,” J. Geophys. Res, 108, B9, pp. 2416, doi:10.1029/2002JB002267, 2003. [5] R. Lanari, P. Lundgren, M. Manzo, and F. Casu, “Satellite radar interferometry time series analysis of surface deformation for Los Angeles, California,” Geophys. Res. Lett., 31, L23613, doi:10.1029/2004GL021294, 2004. [6] M. Motagh, Y. Djamour, T.R. Walter, H.-U. Wetzel, J. Zschau, and S. Arabi, “Land subsidence in Mashhad Valley, northeast Iran: results from InSAR, leveling and GPS,” Geophys. J. Int., 168, pp. 518-526, 2007. [7] D.C. Helm, "One -Dimensional Simulation of Aquifer System Compaction Near Pixley,” water resources research, 13, 3, pp. 375-391, 1976. [8] J. Hoffman, S. A. Leake, D. L. Galloway, and A. M. Wilson, ”MODFLOW-2000 ground-water model- user guide to the subsidence and aquifersystem compaction (SUB) package,” U.S. Geological Survey Open-File Report 03-233, 2003. [9] S. Lee, and I. Park, “Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines,” J. of Environmental management, 127, pp. 166–176, https://doi.org/10.1016/j.jenvman.2013.04.010, 2013. [10] S. Swenson, and J. Wahr, “Methods for inferring regional surface mass anomalies from GRACE measurements of time-variable gravity,” J. Geophys. Res., 107, B9, 2193, https://doi.org/10.1029/2001JB000576, 2002. [11] S. C. Swenson, and J. Wahr, “Monitoring the water balance of Lake Victoria, East Africa, from space,” J. Hydrology, 370(1–4), pp.163–176, https://doi.org/10.1016/j.jhydrol.2009.03.008, 2009. [12] M. Cheng, J. C. Ries, and B. D. Tapley, “Variations of the Earth’s figure axis from satellite laser ranging and GRACE,” J. Geophys. Res.,116, B01409, https://doi.org/10.1029/2010JB000850, 2011. [13] Swenson, S.C , D. P. Chambers, and J. Wahr, 2008. Estimating geocenter variations from a combination of GRACE and ocean model output. J. Geophys. Res.-Solid Earth, Vol 113, Issue: B8, Article B08410, https://doi.org/10.1029/2007JB005338. [14] C. Jekeli, “Alternative methods to smooth the Earth’s gravity field,” Dep. of Geod. Sci. and Surv., Ohio State University, Columbus. Rep. 327, 1981. [15] G. Joodaki, “Earth Mass Change Tracking Using GRACE Satellite Gravity Data”, PhD thesis, Norwegian Univ. | ||
|
Statistics Article View: 256 PDF Download: 175 |
||