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ارزیابی استعداد احداث سد زیرزمینی با بهره وری از روش سلسله مراتبی فازی در دشت کوهدشت | ||
| پژوهش های آبخیزداری | ||
| مقاله 11، دوره 33، شماره 4 - شماره پیاپی 129، دی 1399، صفحه 142-158 اصل مقاله (2.17 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmej.2020.128410.1281 | ||
| نویسندگان | ||
| سیامک بهاروند* 1؛ وهاب امیری امرایی2؛ سلمان سوری3 | ||
| 1استادیار، گروه زمین‌شناسی، واحد خرم‌آباد، دانشگاه آزاد اسلامی، خرم‌آباد، ایران | ||
| 2استادیار، پردیس علوم پایه، گروه زمین‌شناسی، دانشگاه یزد، یزد، ایران | ||
| 3کارشناس ارشد، باشگاه پژوهشگران جوان و نخبگان، واحد خرم‌آباد، دانشگاه آزاد اسلامی، خرم‌آباد، ایران | ||
| چکیده | ||
| اهمیت مدیریت آبخوان‌ها برای تأمین نیاز آبی ساکنان منطقه‌های خشک و نیمه‌خشک بسیار است. هدف از پژوهش انجام شده ارزیابی کیفی منبع‌آب زیرزمینی و یافتن مکان‌های مناسب برای ساخت سد زیرزمینی در دشت کوهدشت (غرب استان لرستان) است. در این پژوهش از خصوصیت‌های شیمیایی آب زیرزمینی، با معیارهای شولر و ویلکوکس برای ارزیابی کیفیت منبع آب آشامیدنی و کشاورزی بهره‌گرفته شد. نتیجه‌ها نشان دهنده ی مطلوبیت کیفیت آب زیرزمینی برای مصرف‌های مختلف است. برای شناسایی مکان‌های مناسب ساخت سد زیرزمینی از عامل‌هایی چون شیب، سنگ‌شناسی، کاربری زمین، تراکم شبکه‌ی آب‌راه، بارش، دما، فاصله از روستا، چاه، گسل و چشمه بهره‌برده شد. پس از تهیه‌ی لایه‌های پژوهشی، نقشهی هر عامل بترتیب با منطق فازی و فرآیند تحلیل سلسله‌مراتبی، معیارسازی و وزندهی شد. ارزیابی عامل‌های مختلف اثرگزار نشان می‌دهد که سه عامل آب‌راه، سنگ‌شناسی و شیب به ترتیب با وزن های 0/243، 0/206 و 0/153 بیش‌ترین تأثیر را در انتخاب محل بهینه دارد. با هم‌پوشانی نقشه‌های وزنی هر لایه در نرم‌افزار آرک جی‌آی‌اس نقشه ی منطقه‌های مناسب تهیه شد. به ترتیب 20/35 ،15/90 ،14/92 ،26/28 و 22/54 % از مساحت منطقه در پهنه‌های خیلی نامناسب، نامناسب، متوسط، مناسب و خیلی مناسب برای ساخت سد زیرزمینی است. پس از پیمایش‌های پُرشمار صحرایی، 6 مکان در پهنهی خیلی مناسب انتخاب شد، که در مسیر آب‌راهای با رتبه ی آب‌نگاری 4 و زیادتر است. | ||
| کلیدواژه‌ها | ||
| سد زیرزمینی؛ سلسله‌مراتبی فازی؛ سامانه‌ی اطلاعات جغرافیایی؛ کوهدشت؛ کیفیت آب | ||
| عنوان مقاله [English] | ||
| An Assessment of the Potential of Underground Dam Construction Using the AHP Fuzzy Methods in the Kouhdasht Plain | ||
| نویسندگان [English] | ||
| Siamak Baharvand1؛ Vahab Amiri Amraei2؛ Salman Soori3 | ||
| 1Assistant Professor, Department of Geology, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran | ||
| 2Assistant Professor, Faculty of Science, Department of Geology, Yazd University, Yazd, Iran | ||
| 3M.Sc.,Young Researchers and Elite Club, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran | ||
| چکیده [English] | ||
| Aquifers management is of utmost importance used for supplying the water use in different sectors in the arid and semiarid regions. This research aims to evaluate the quality of groundwater resources and to find suitable locations for the construction of underground dams in the Kouhdasht area (west of the Lorestan Province). To evaluate the water quality for drinking and agricultural purposes, the chemical parameters of groundwater resources were placed in the Schaller and Wilcox diagrams. The results indicated that groundwater quality is desirable for various uses. To identify suitable locations for the construction of underground dams, factors namely: slope, lithology, land use, drainage network density, precipitation, temperature, distances from the village, well, fault, and springs were used. After providing the various data layers, the map of each factor is standardized and weighed using the fuzzy logic and the hierarchical analysis process, respectively. Evaluation of various factors influencing the determination of suitable areas for construction of underground dam revealed that three factors namely drainage network, lithology, and topographic slope with a weight of 0.243, 0.206, and 0.153, respectively, had the greatest impact on the selection of optimal locations. By overlaying the weighted maps provided for each layer in the Arc GIS 10, a map showing the suitable sites for the construction of underground dams was produced. Based on the results, 20.35, 15.90, 14.92, 26.28, and 22.54 percentage of the area were evaluated as highly inappropriate, inappropriate, moderately, appropriate, and very appropriate for the construction of underground dams, respectively. Performing detailed field surveys in the very appropriate areas, six sites were selected for the construction of underground dams. These were located on the path of the fourth-order and greater streams. | ||
| کلیدواژه‌ها [English] | ||
| Underground dam, AHP Fuzzy, GIS, Kouhdasht, water quality | ||
| مراجع | ||
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Al-Ruzouq R, Shanableh A, Yilmaz AG, Idris A, Mukherjee S, Khalil MA, Gibril MB. 2019. Dam site suitability mapping and analysis using an integrated GIS and Machine Learning approach. Water. 11: 1880–1897. Amiri V, Sohrabi N, Altafi Dadgar M. 2015. Evaluation of groundwater chemistry and its suitability for drinking and agricultural uses in the Lenjanat Plain, Central Iran. Environmental Earth Sciences. 74(7): 6163–6176. Apaydin A. 2009. Malibogazi groundwater dam: An alternative model for semi-arid regions of Turkey to store and save groundwater. Environmental Earth Sciences. 59: 339–345. Chezgi J, Maleki Nezhad H, Ekhtesasi MR, Nakhei M. 2016. Prioritization suitable sites for underground dam's construction using decision-making models in arid and semi-arid. Arid Biome Scientific and Research Journal. 6(2): 83–95. (In Persian). Chezgi J, Murdi HR, Kheirkhah Zarkesh MM. 2011. Selection of suitable sites for underground dams using a multi criteria decision making with an emphasis to water resources (Case study: The West Tehran Province). Iranian Journal of Watershed Management Science and Engineering. 4(13): 65–68. (In Persian). Esavi V, Karami J, Alimohammadi A, Niknezhad SA. 2012. Comparison the AHP and FUZZY-AHP decision making methods in underground dam site selection in Taleghan Basin. Geosciences. 22(85): 27–34. (In Persian). Fathi AM, Lee T, Mohebzadeh H. 2019. Allocating underground dam sites using remote sensing and GIS case study on the southwestern plain of Tehran Province, Iran. Journal of the Indian Society of Remote Sensing. 47: 989–1002. Foster S, Azevedo G, Baltar A. 2002. Subsurface dams to augment round water storage in basement terrain for human subsistence: Brazilian experience. Universidad Federal. 82: 49–56. Forzieri G, Gardenti M, Caparrini F, Castelli F. 2008. A methodology for the pre-selection of suitable sites for surface and underground small dams in arid areas: A case study in the region of Kidal, Mali. Journal of Physics and Chemistry of the Earth. 33(1–2): 74–85. Sazand Ab Pars consulting engineering company. 2007. Geo electrical assessment in Kouhdasht Plain. (In Persian). Gomes JL, Vieira FP, Hamza VM. 2018. Use of electrical resistivity tomography in selection of sites for underground dams in a semiarid region in southeastern Brazil. Groundwater for Sustainable Development. 7: 232–238. Jamali IA, Mortberg U, Olofsson B, Shafique M. 2014. A spatial multi-criteria analysis approach for locating suitable sites for construction of subsurface dams in Northern Pakistan. Water Resources Management. 28(14): 5157–5174. Kheirkhah Zarkesh MM, Naseri HR, Davodi MH. 2009. Using analytical hierarchy process for ranking suitable location of groundwater dams’ construction. Case study: Northern slopes of Karkas Mountains in Natanz. Pajouhesh & Sazandegi. 21(2): 93–101. (In Persian). Kordi R, Faramarzi M, Karimi H, Garaei P, Yarmohammadi E. 2016. Mapping underground dam in arid and semi-arid area in western Iran (Case study: Mehran, Ilam Province). Journal of Watershed Management Research. 7(13): 164–172. (In Persian). Kharazi P, Yazdani MR, Khazealpour P. 2019. Suitable identification of underground dam locations, using decision-making methods in a semi-arid region of Iranian Semnan Plain. Groundwater for Sustainable Development. 9: 100240, doi: 10.1016/j.gsd.2019.100240. Laa A, Kampanart M, Kriengsak S. 2005. Approachability of subsurface dams in Northeast Thailand. International Conference on Geology, Geotechnology and Mineral Resources of Indochina. Khon Kaen. Thailand. 1: 149–155. Onder H, Yilmaz M. 2005. Underground dams. Journal of European Water.11–12: 35–45. Iran water resources management company. 2018. Operational program for reclamation of Kouhdasht Plain. (In Persian). Pirmoradi R, Nakhaie M, Asadian F. 2010. Site selection for underground dams’ construction using GIS techniques case study (Malayer Plain in the Hamedan Province). Journal of Physical Geography. 3(8): 51–66. (In Persian). Ravikumar P. Sumashker Rk. 2011. Geociemistry of groundwater, Markandeya River Basin Belgaum district, Kama Taka State, India. Chinese journal of Geochemistry. 30: 051–074. RAIN (Rainwater Harvesting Implementation Network). 2011. A practical guide to sand dam implementation: Water supply through local structures as an adaption to climate change. Amsterdam, Netherlands: RAIN. Rezaei P, Rezaie K, Nazari-Shirkouhi S, JamalizadehTajabadi MR. 2013. Application of fuzzy multi-criteria decision making analysis for evaluating and selecting the best location for construction of underground dam. Acta Polytech Hung Arica. 10(7): 187–205. Rezaei Moghaddam MH, Rahimpour T, Nakhostinrouhi M. 2017. Potential detection of the groundwater resources using analytic network process in geographic information system (Case study: basin leading to Tabriz Plain). Eco Hydrology. 3(3): 379–389. (In Persian). Saaty TL, Vargas LG. 2001. Models, methods, concepts, and applications of the Analytical Hierarchy process. 1st ed. Kluwer Academic. Boston. 333 p. Salarian M, Najafi M, Hosseini SV, Heydari M. 2015. Classification of Zayandehrud River Basin water quality regarding agriculture, drinking, and industrial usage. American Research Journal of Civil and Structural Engineering. 1(1):1–9. Sundaray Sk, Nayak BB, Bhatta D. 2009. Environmental studies on river water quality with reference to suitability for agricultural purposes: Mahanadi river estuarine system India – A case study. Environmental Monitoring and Assessment. 155: 227–243. Talebi A, Zahedi E, Hassan M, Lesani MT. 2019. Locating suitable sites for the construction of underground dams using the subsurface flow simulation (SWAT model) and analytical network process (ANP) (Case study: Daroongar Watershed, Iran). Sustainable Water Resources Management. 5: 1369–1378. Wilcox LV. 1955. Classification and use of irrigation waters.U.S. Department of Agriculture. Circular 969. Washington DC. Zahedi A. 2013. Determine areas suitable for underground dam construction using simulated water balance model (SWAT) and lattice analysis process (ANP) Case study: Watershed Dargan is shown. MA thesis, University of Yazd, Faculty of Natural Resources and Environment desert, Watershed Field. 167 p. (In Persian). | ||
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