استفاده از میانگین وزن‌دار مرتب (OWA) برای تهیه نقشه نواحی مناسب جهت تغذیه آب زیر‌زمینی در محدوده دشت سلفچگان قم، ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش آموخته کارشناسی ارشد مدیریت منابع آب/ گروه مهندسی منابع آب، دانشکده عمران، دانشگاه صنعتی خواجه‌نصیرالدین طوسی، تهران

2 استادیار/ گروه مدیریت منابع آب، دانشکده مهندسی عمران، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران

چکیده

با توجه به اهمیت کاهش سطح آب‌های زیر‌زمینی در مناطق با اقلیم خشک، ارائه روش‌های مناسب جهت تعیین مناطق مناسب برای تغذیه آب‌های زیر‌زمینی از اهمیت بالایی برخوردار است. از این رو، هدف این تحقیق، استفاده از عملگر تصمیم‌گیری چندشاخصه میانگین وزن دار مرتب (OWA) و روش فازی سازی لایه‌ها برای تولید نقشه‌های نواحی مناسب جهت تغذیه آب زیرزمینی برای محدوده سلفچگان واقع در استان قم بود. در این راستا از لایه های اطلاعاتی شامل اطلاعات چاه‌ها، نقشه‌ها و گزارش‌های خاک‌شناسی، مدل رقومی ارتفاعی و تصویر سنجنده لندست 8OLI استفاده گردید. نقشه‌های تناسب با استفاده از OWA با بهره گیری از رویکرد‌های وزن‌دهی ترتیبی مختلف دارای ریسک‌پذیری متفاوت (چهار رویکرد) به منظور اعمال وزن‌دهی به دست آمد. در نهایت با اعمال فیلتر کاربری زمین و همچنین شروط نزدیکی به آبراهه‌ها و خطواره‌ها، نقاطی به عنوان نقاط منتخب به منظور تغذیه آب‌های زیر‌زمینی تعیین شد. رویکردهایی دارای ریسک‌پذیری کمتر (رویکردهای اول و سوم)، هیچ نقطه ای را به عنوان نقاط مناسب‌ به منظور تغذیه‌آب‌های زیر‌زمینی ارائه نکردند؛ اما رویکرد دوم و چهارم به ترتیب 11 و 25 محدوده ارائه نمودند. به منظور بررسی همبستگی لایه‌های اطلاعاتی و نتایج از تحلیل مولفه‌های اصلی استفاده شد. نتایج تحلیل نشان داد که لایه‌های شیب و نفوذ دارای همبستگی بالای مثبت (بیش از 75%) و لایه هدایت الکتریکی دارای همبستگی منفی در مولفه اول (بیش از 50%) بوده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Application of ordered Weighted Average (OWA) For producing Map of Suitable Groundwater Recharge zones in Salafchegan Study area, Iran

نویسندگان [English]

  • Mirakhorlo Mohammad Saeid 1
  • Majid Rahimzadegan 2
1 M.Sc graduated of Water Resources Management, Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran
2 Assistant Professor, Department of Water Resources Management, Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran
چکیده [English]

Due to the depletion of groundwater resources in dry climates, establishing an effective procedure to delineate artificial groundwater recharge zones is of great importance. Then, the objective of this study was utilizing Ordered Weight Average (OWA) multi-criteria evaluation method and fuzzification of layers to produce suitability maps of Salafchegan study area located in Qom province. To do this, different data layers including observation wells, soil maps and reports, Digital Elevation Model and landsat-8 OLI, etc. were used. Different ordered weight with different tradeoff (four procedures) were used to create suitability maps. Finally, by using a land-use filter as well as applying condition of proximity to tributaries and lineaments, few zones were chosen as the selected locations to groundwater recharge zones. The risk-averse procedures (first and third procedures) did not introduce any suitable location for groundwater recharge site. However, the second and fourth procedures did suggest 11 and 25 location, respectively. To assess correlations of the information layers and results, principal components analysis was used. Results suggested that the slope and infiltration layers have strong positive correlation (more than 75%) and the electrical conductivity (EC) has a negative correlation with other layers (more than 50%).

کلیدواژه‌ها [English]

  • Multi-Criteria evaluation
  • Ordered Weighted Average (OWA
  • geographic information systems (GIS)
  • Artificial Groundwater Recharge
Abdi H and Williams LJ (2010) Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics 2(4):433-459
Agarwal R, Garg PK, and Garg RD (2013) Remote sensing and GIS based approach for identification of artificial recharge sites. Water Resources Management 27(7):2671-2689
Asano T (2016) Artificial recharge of groundwater. Elsevier, Butterworth-Heinemann, ISBN: 9781483163208
Burrough PA (1989) Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science 40(3):477-492
Chowdhury A, Jha MK, and Chowdary VM (2010) Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environmental Earth Sciences 59(6):1209
Congalton RG and Green K (2008) Assessing the accuracy of remotely sensed data: principles and practices. CRC Press
Dhar A, Sahoo S, and Sahoo M (2015) Identification of groundwater potential zones considering water quality aspect. Environmental Earth Sciences 74(7):5663-5675
Earthexplorer (2018) No Title. https://earthexplorer.usgs.gov/ (available at 2018). Available at: https://earthexplorer.usgs.gov/
Eastman JR (2015) TerrSet manual. Accessed in TerrSet version 18:1-390
Eastman JR, Jiang H, and Toledano J (1998) Multi-criteria and multi-objective decision making for land allocation using GIS. Environment and Management 9:227-252
Feizizadeh B and Blaschke T (2012) Uncertainty analysis of GIS-based ordered weighted averaging method for landslide susceptibility mapping in Urmia Lake Basin, Iran. Seventh International Geographic Information Science Conference, September, 18-21
FRWO (2015) Land capability and  soil  report of Ali-abad area located in Qom province (In Persian). Ministry of Agriculture - Forest, Range & Watershed Management OrganizaitonI-I.R. of IRAN
Ghayoumian J, Saravi MM, Feiznia S, Nouri B, and Malekian A (2007) Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. Journal of Asian Earth Sciences 30(2):364-374
Ghazavi R, Babaei S, and Erfanian M (2018) Recharge wells site selection for artificial groundwater recharge in an urban area using fuzzy logic technique. Water Resources Management 1-14
Heydari Aghagol M, Ghoami E, and Rostami Barani HR (2017) Finding potential groundwater resources using fuzzy logic (Case study: South Khorasan Province). Iran Water Resources Research 13(1):211-215
Husson F, Josse J, Le S, Mazet J, and Husson MF (2018) Package ‘FactoMineR’. Obtenido de Multivariate Exploratory Data Analysis and Data Mining: http://cran. r-project. org/web/packages/FactoMineR/FactoMineR. pdf
Husson F, Lê S, and Pagès J (2017) Exploratory multivariate analysis by example using R. Chapman and Hall/CRC
Jang C-S, Chen S-K, and Kuo Y-M (2013) Applying indicator-based geostatistical approaches to determine potential zones of groundwater recharge based on borehole data. Catena 101:178-187
Jolliffe I (2011) Principal component analysis. International encyclopedia of statistical science. Springer, 1094-1096
Kassambara  and Fabian Mundt A (2017)  Factoextra: extract and visualize the results of multivariate data analyses. Available at: http://www.sthda.com/english/rpkgs/factoextra.
Kolsi SH, Bouri S, Hachicha W, and Dhia H Ben (2013) Implementation and evaluation of multivariate analysis for groundwater hydrochemistry assessment in arid environments: a case study of Hajeb Elyoun–Jelma, Central Tunisia. Environmental Earth Sciences 70(5):2215-2224
Liu C-W, Lin K-H, and Kuo Y-M (2003) Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. Science of The Total Environment 313(1-3):77-89
Machiwal D and Singh PK (2015) Comparing GIS-based multi-criteria decision-making and Boolean logic modelling approaches for delineating groundwater recharge zones. Arabian Journal of Geosciences 8(12):10675-10691
Mahmoud SH and Alazba AA (2014) Identification of potential sites for groundwater recharge using a GIS-based decision support system in Jazan region-Saudi Arabia. Water Resources Management 28(10):3319-3340
Mirakhorlo MS and Rahimzadegan M (2018) Application of sediment rating curves to evaluate efficiency of EPM and MPSIAC using RS and GIS. Environmental Earth Sciences 77(20)
Mokarram M and Hojati M (2017) Using ordered weight averaging (OWA) aggregation for multi-criteria soil fertility evaluation by GIS (Case study: Southeast Iran). Computers and Electronics in Agriculture 132:1-13
Nasiri H, Boloorani AD, Sabokbar HAF, Jafari HR, Hamzeh M, and Rafii Y (2013) Determining the most suitable areas for artificial groundwater recharge via an integrated PROMETHEE II-AHP method in GIS environment (case study: Garabaygan Basin, Iran). Environmental Monitoring and Assessment 185(1):707-718
Rahimi S, Roodposhti MS, and Abbaspour RA (2014) Using combined AHP–genetic algorithm in artificial groundwater recharge site selection of Gareh Bygone Plain, Iran. Environmental Earth Sciences 72(6):1979-1992
RWCQ (2015) Water quality and pollution report of Salafchegan-Neizar study area. Qom Regional Water Company of QOM
Saaty TL (1977) A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology 15(3):234-281
Samadi J (2016) Site selection modeling for artificial recharge in Kashan aquifer using statistical methods, AHP and Groundwater Environmental Considerations. Iran Water Resources Research 12(1):84-94 (In Persian)
Saraf AK and Choudhury PR (1998) Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. International Journal of remote sensing 19(10):1825-1841
Sargaonkar AP, Rathi B, and Baile A (2011) Identifying potential sites for artificial groundwater recharge in sub-watershed of River Kanhan, India. Environmental Earth Sciences 62(5):1099-1108
Schmucker KJ (1984) Fuzzy sets, nanural language computations, and risk analysis. Computer Science Press
Selvam S, Magesh NS, Chidambaram S, Rajamanickam M, and Sashikkumar MC (2015) A GIS based identification of groundwater recharge potential zones using RS and IF technique: a case study in Ottapidaram taluk, Tuticorin district, Tamil Nadu. Environmental Earth Sciences 73(7):3785-3799
Shaban A, Khawlie M, and Abdallah C (2006) Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon. Hydrogeology Journal 14(4):433-443
Shafiei M and Ghanbarzadeh Lak M (2019) Modeling artificial groundwater nourishing (through flood spreading) site selection process based on GIS technique and AHP method (Case study: Khoy Plain Aquifer). Iran Water Resources Research 14(5):253-264 (In Persian)
Steinel A, Schelkes K, Subah A, and Himmelsbach T (2016) Spatial multi-criteria analysis for selecting potential sites for aquifer recharge via harvesting and infiltration of surface runoff in north Jordan. Hydrogeology Journal 24(7):1753-1774
Tang Z, Yi S, and Xiao Y (2017) A probabilistic GIS-OWA approach for flood susceptibility assessment. Geoinformatics, 2017 25th International Conference on. IEEE, 1-5
Tarboton DG, Bras RL, and Rodriguez-Iturbe I (1991) On the extraction of channel networks from digital elevation data. Hydrological Processes 5(1):81-100
Venkateswarlu KS (1996) Water chemistry: industrial and power station water treatment. New Age International (P), Ltd., New Delhi, 28(12)
Viccaro M, Cozzi M, Vastola A, and Romano S (2018) Promoting small-scale biofuel production: a qualitative GIS-OWA methodology for land suitability analysis of winter rapeseed. Multicriteria Analysis in Agriculture 151-165
Voogd H (1983) Multicriteria evaluation for urban and regional planning. Pion London
Zaidi FK, Nazzal Y, Ahmed I, Naeem M, and Jafri MK (2015) Identification of potential artificial groundwater recharge zones in Northwestern Saudi Arabia using GIS and Boolean logic. Journal of African Earth Sciences 111:156-169