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Investigating the role of meteorological drought and geodetic factors on land subsidence vulnerability using fuzzy overlay | ||
Desert | ||
دوره 27، شماره 2، اسفند 2022، صفحه 227-245 اصل مقاله (1.84 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jdesert.2022.90823 | ||
نویسندگان | ||
M. Talebiniya؛ H. Khosravi* ؛ Gh. Zehtabian؛ A. Malekian؛ H. Keshtkar | ||
Department of Arid and Mountainous Reclamation Region Faculty of Natural Resources, University of Tehran, Karaj, Iran | ||
چکیده | ||
Land subsidence has caused severe environmental hazards in most plains of Iran due to unbalanced extraction between groundwater and rainfall and the geodetic factors. In this regard, three basins of Kohpaye Segzi, Isfahan Borkhar, and Najafabad in Isfahan province were selected to study the areas with land subsidence vulnerability. Changes in aquifer water volume influenced by geodetic factors and meteorological drought were studied. The maps of the Standardized Water Level Index (SWI) and isodeep were provided in ArcGIS 10.7 software using the statistical data of piezometric wells (2002-2018). The time series analysis of 6, 12, 18, and 24-month were performed by DIP software for September as the driest month of the year. the time series with the highest correlation was zoned to show the number of SPI changes. In the last step, the weight of all indices including groundwater loss, meteorological drought, slope, and altitude was equated to evaluate land subsidence vulnerability. Land subsidence vulnerability map was prepared by overlaying the fuzzy maps of indices with strategic points. The relationship between meteorological drought and groundwater level; and correlation analysis of these two parameters with the Pearson statistical method showed a positive correlation only in 18-months time series. The results also showed that 4202 of the region has located in high to very high drop class, and the groundwater table has decreased 9.05 m from 2002 to 2018. In general, with a negative trend of precipitation, a positive trend was observed in the standard water level index, which increases the effective stress and was the main reason for land subsidence. According to the vulnerability map, 49 and 12.5 percent of the study area were categorized into high and very high classes of landslide vulnerability, respectively. The results showed that the probability of land subsidence will increase in the next few years because of reduction in precipitation due to climate fluctuation, slope effects, altitude, over-harvesting of groundwater potential in all parts of the basin, especially in the northern areas, and increasing density and loading especially in recent years. | ||
کلیدواژهها | ||
Correlation؛ Risks؛ SPI؛ Strategic points؛ Vulnerability؛ Water table | ||
مراجع | ||
References Ashok K, Sasikala C. 2012. Farmers' vulnerability to rainfall variability and technology adoption in rain-fed tank irrigated agriculture. Agricultural Economics Research Review, 25(2); 267-278. McKee T, Doesken N, Kleist J. 1993. The relationship of drought frequency and duration to time scale. Eighth Conf. on Applied Climatology, Anaheim, CA. American Meteorological Society, 179-184 pp. Moss R, Brenkert A, Malone E. 2001. Vulnerability to climate change: A multi-criteria decision analysis. Global environmental change, 18(1); 112-127. Pourghasemi H, Mohseni Saravi M. 2019. Spatial modeling of land subsidence sensitivity using generalized collective model data mining method. Watershed management research, 30(117); 21-34. (In Persian) Vincent K. 2004. Creating an index of social vulnerability to climate change for Africa. Technical Report 56, Center Tyndall Climate Change Research, University of EastAnglia, Norwich. Aalipour Erdi M, Malekmohammadi B, Jafari HR. 2017. Risk zoning of land subsidence due to groundwater level declining using fuzzy analytical hierarchy process. Iranian Journal of Watershed Management Science. 11 (38); 25-34. (In Persian) Ahmadi A, Ma'ali Ahri A, Ahmadi N. 2014. Determining the possible land subsidence areas of Ardabil plain using GIS. Journal of Geography and Planning, 17(46); 1-23. (In Persian) Ahmadi N, Mousavi Z, Masoumi Z. 2019. Study of land subsidence of Khorramdareh plain using radar interferometry technique and its hazards. Remote Sensing and GIS Iran, 10 (3); 33-52. (In Persian) Allaby M. 2013. Dictionary of Geology and Earth Sciences (4th ed.). Oxford University Press. Ataee H, Zamanipour F. 2016. Investigation of Tehran plain land subsidence. 2nd National Congress on the Development and Promotion of Iranian Agricultural Engineering and Soil Science, Promotion of Science and Technology, 16 June, Tehran, Iran (In Persian) Bahrami M, Bazrkar S, Zarei A. 2018. Modeling, prediction and trend assessment of drought in Iran using standardized precipitation index. Journal of Water and Climate Chang, 10(1); 181- 196. Barker L, Hannaford J, Chiverton A, Svensson C. 2016. From meteorological to hydrological drought using standardized indicators. Hydrol, Earth Syst. Sci, 20(6); 2483-2505. Behniafar A, Ghanbarzadeh H, Eshraghi A. 2010. Investigation of effective factors on the erosion of Mashhad Plains and its consequences in its geomorphic. Journal of Chashmandaz- e-Zagros Geographic Quarterly, 5(2);131-146 (In Persian) Bhuiyan C, Singh R, Kogan F. 2006. Monitoring Drought Dynamics in the Aravalli Region (India) Using Different Indices Based on Ground and Remote Sensing Data. International Journal of Applied Earth Observation and Geoinformation, 8; 289-302. Bonham-Carter F. 1991. Geographic Information System for Geoscientists: Modeling with GIS. Ontario, 291-300 pp. Cloetingh Y, Podlachikov Y. 2000. Perspectives on tectonic modeling. Tectonophysics, 320; 169– 173. Galloway D, Burbey T. 2011. Review: Regional land subsidence accompanying groundwater extraction. Hydrogeology Journal, 19; 1459-1486. Hu R, Yue Z, Wang L, Wang S. 2004. Review on the current status and Challenging issues of and subsidenceland subsidence in China. Engineering Geology, 76 (1-2); 59-75. 244 DESERT, 27-2, 2022 Huang S, Huang Q, Chang J, Leng G. 2016. Linkages between hydrological drought, climate indices and human activities: a case study in the Columbia River basin. Int. J. Climatol, 1(36); 280-290. Jamour R, Ilbeigi M, Morsali M. 2019. Assessing the Landslide Crisis and the Advancement of Seawater in the Minab Plain Aquifer. Echo Hydrology, 6(1); 223-238. (In Persian) Kamali Sh, Asghari K. 2020. Investigation of the effect of meteorological and hydrological parameters on groundwater drought forecast. 11th National Congress of Civil Engineering, Shiraz, Available online: https://civilica.com/doc/918232 Kundzewicz Z, Robson A. 2004. Change detection in the hydrological records-a review of the methodology. J. Hydrol. Sci, 49; 7–19. Leichenko R, O-Brien K. 2001. Dynamics of rural vulnerability to global change. South Africa, Mitigation and Adaptation Strategies for Global Change. 7(1);1-18. Me-Bar Y, Valdez J. 2005. On the vulnerability of the ancient Maya society to natural threats. Journal of Archaeological Science, 32(6); 813–825. Merikhpour M, Mousavi M, Safari M. 2012. Investigation of land subsidence and sinkholes due to groundwater level decline in Hamedan-Kaboodar Ahang Plain. National Conference on Water and Wastewater Engineering and Sciences, Graduate University of Advanced Technology, 26- 27 pp. (In Persian) Mortazavi M, Soleimani K, Ghaffari F. 2010. Water Resources Management and Sustainable Development (Case Study of Rafsanjan Plain). Journal of Water and Sewerage, 3; 126-131. (In Persian) Nadiri A, Taheri Z, Barzegari Gh, Dideban Kh. 2019. Providing a framework for estimating aquifer land subsidence potential using a genetic algorithm. Iranian Water Resources Research, 4(2); 174-185. (In Persian) Nasabpour S, Heydari E, Khosravi H, Vesali A. 2018. Drought vulnerability zoning in Iran using AHP model and fuzzy logic. Journal of Agricultural Meteorology, 6(2); 3-12. (In Persian) Naserzadeh M, Ahmadi E. 2012. Investigation of the performance of meteorological drought indicators in drought assessment and zoning in Qazvin province. Journal of Applied Research in Geographical Sciences, 12(27); 141-162. (In Persian) Osmanoglu B, Dixon T, Wdwinski S, Cabral-Cano E, Jiang Y. 2011. Mexico City subsidenceland subsidence observed with persistent scatterer InSAR. International Journal of Applied Earth Observation and Geoinformation, 13(1); 1-12. Pacheco J, Arzate J, Rojas E, Arroyo M, Yutsis V, Ochoa G. 2006. Delimitation of ground failure zones due to land subsidence use in gravity data and finite element modeling in the Queretaro Valley. Mexico Engineering Geology, 84(3-4); 186-197. Pour Mohammadi S, Dastorani M, Jafari H, Masah A, Godarzi M, Bagheri F, Rahimiyan M. 2017. Investigation of drought and hydrogeological effects on groundwater balance in Tuyserkan plain. Journal of Watershed Engineering and Management, 9(1); 46-57. (In Persian) Radutu A, Gogu R. 2019. Chronological reflection on monitoring urban areas land subsidence due to groundwater extraction. E3S Web of Conferences 85(242): 07015. Salehi Motahed F, Hafezi Moqaddas N, Lashkaripour Gh, Dehghani M. 2020. Assessment of land subsidence by combining radar interference method and field measurements and study of its causes and effects on the city of Mashhad. Kharazmi University, Journal of Engineering Geology, 13(3); 435-462. (In Persian) Investigating the role of meteorological drought and geodetic factors … 245 Salehi R, Ghafori M, Lashkaripour Gh, Dehghani M. 2013. Investigation of land subsidence of South Mahyar plain using radar interferometry method. Journal of Irrigation and Water Engineering, 3(11); 57- 45. Shadfar S, Nasiri E, Chitgar S, Ahmadi A. 2016. Land subsidence risk zoning using Hierarchical Analysis (AHP) method, study area (Buin Zahra city). Geographical Quarterly of the Land, Scientific-Research, 12(48); 101-116. (In Persian) Sharifi kia M. 2013. Determining the extent and amplitude of land subsidence using radar interferometry (D-InSAR) method in Nogh-Bahrman plain. Institute of Humanities - Space Planning and Planning, 16(3); 55-77. (In Persian) Shrestha P, Shakya N, Pandey V, Birkinshaw S, Shrestha S. 2017. Model-based estimation of land subsidence in Kathmandu Valley, Nepal. Geomatics, Natural Hazards and Risk, 8(2); 974-996. Tabatabaee Oghda S, Mohseni Nasab H. 2015. Land subsidence in Rafsanjan plain due to groundwater level decline. 2nd National Conference on Soil Mechanics and Foundation Engineering, Qom University of Technology, Iran (In Persian) Tabatabaee M, Zehtabian Gh, Rahimi M, Khosravi H, Nikoo Sh. 2014. Quantitative and qualitative analysis of groundwater and climate abnormalities affecting desertification trend in Garmsar Plain. Journal of arid regions Geographic studies, 13(3); 55-68. Taheri Tizro A. 2008. Groundwater. Razi University Press, Second Edition. Tardast A, Mosavi M, Balochi M, Shemshaki A. 2012. Land subsidence due to falling groundwater level in the southwest of Tehran. 4th Iran Resource Management Conference, Tehran - Amirkabir University of Technology. Theodore P, Pearson K. 2004. The Scientific Life in a Statistical Age. Princeton: Princeton UP, 352 p. Turani M, Atabai M, Rustaei M. 2019. Study of subsidenceland subsidence in the west of Golestan province using radar interferometry method. Journal of Spatial Planning, Journal of Golestan University, 8(27); 65-79. (In Persian) UNESCO. 2015. Land subsidence. Retrieved from Land subsidence, Available at http://landsubsidenceunesco.org/ content/what-land subsidence. Waltham AC. 1989. Ground land subsidence. Blackie & Son Limites. Yamani M, Najafi E, Abedini M. 2010. The relationship between land subsidence and groundwater level drop in Qarabolagh plain of Fars province. Geography Quarterly. Islamic Azad University_ Tehran Central Branch, 3(9); 9-27. (In Persian) | ||
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