HARRAN OVASI YERALTI SUYU POTANSİYELİ VE KALİTESİNİN CBS DESTEKLİ AHP VE TOPSİS YÖNTEMLERİYLE MODELLENMESİ

Öz

Harran Ovası, içme suyu ihtiyacının tamamını ve sulama suyu ihtiyacının çoğunu çeşitli tarihlerde açılan kuyulardan ve yeraltı su kaynaklarından karşılamaktadır. Bu nedenle bu çalışmada Türkiye sınırları içerisinde yer alan yerleşim alanları ve ovalarda yeraltı suyu potansiyeli ve su kalitesinin belirlenmesi amacıyla ÇKKV, AHP, TOPSIS ve Coğrafi Bilgi Sistemi gibi yöntemler kullanılarak tematik haritalar ve model haritalar oluşturulmuştur. Harran ovası. Havza genelinde çalışmaya ilişkin veriler resmi kurumlardan ve faaliyet gösteren özel sondaj şirketlerinden elde edilmiştir. Çalışmanın ilk aşamasında, yeraltı suyu potansiyeli statik su seviyesi, dinamik su seviyesi, kuyu verimi ve yeraltı suyu derinlik haritaları ile modellenmiştir. Elde edilen tematik haritalar ile sığlık, derinlik ve verimlilik değerlerine göre yeniden sınıflandırılmıştır. Buna göre Harran havzasının önemli bir bölümünün yeraltı suyu potansiyelinin iyi olduğu, statik ve dinamik seviyelerinin sığ-normal seviyelerde olduğu tespit edilmiştir.

Anahtar Kelimeler

• Harran Ovası
• CBS
• Arc Hydro Modülü
• AHP
• ANP
• Havza Sınır Haritaları

MODELING OF GROUNDWATER POTENTIAL AND QUALITY OF HARRAN PLAIN BY GIS SUPPORTED AHP AND TOPSIS METHODS

Öz

Harran Plain supplies all of its drinking water needs and most of its irrigation water needs from wells and groundwater resources that were drilled at various dates. For this reason, in this study, thematic maps and model maps were created by using methods such as MCDM, AHP, TOPSIS and Geographic Information System in order to determine the groundwater potential and water quality in the settlement areas and plains located within the borders of the Harran plain. The data related to the study throughout the basin were obtained from official institutions and operating private drilling companies. In the first stage of the study, groundwater potential was modeled with static water level, dynamic water level, well efficiency and groundwater depth maps. With the obtained thematic maps, they were reclassified according to shallowness, depth and productivity values. Accordingly, it has been determined that the groundwater potential of a significant part of the Harran basin is good, and the static and dynamic levels are at shallow-normal levels.

Anahtar Kelimeler

• Harran Plain
• GIS
• Arc Hydro Module
• AHP
• ANP
• Basin Boundary Maps

Kaynakça

1. [1] Anderson K.E. 1967. Water Well Handbook. St. Louis, Scholin Brothers Printing Corp, Second Edition, 1967. 281, P.
2. [2] Bolstad P. 2016. GIS fundamentals: A first text on geographic information systems. Eider (PressMinnesota).
3. [3] Brindha, K., Elango L. 2011. Hydrochemical characteristics of groundwater for domestic and irrigation purposes in Madhuranthakam, Tamil Nadu, India. Earth Sciences Research Journal, 15(2), 101-108.
4. [4] Celik R. 2015. Temporal changes in the groundwater level in the Upper Tigris Basin, Turkey, determined by a GIS technique. Journal of African Earth Sciences, 107, 134-143.
5. [5] Chen J. K., Chen I.S. 2010. Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP and TOPSIS as an innovation support system for Taiwanese higher education. Expert Systems with Applications, 37(3), 1981-1990.
6. [6] Chenayah S., Chhaing H., Takeda E. 2010. Qualitative multicriteria decision aid by eigenvector method The 14th Asia Pacific Regional Meeting of International Foundation for Production Research
7. [7] Cullu M.A. 2007. Water Use in the GAP and Desertification in the Harran Plain, Şanliurfa TSO Magazine, Issue: 26, Sanliurfa, 8-10
8. [8] D'Agostino V., Greene E.A., Passarella G., Vurro M. 1998. Spatial and temporal study of nitrate concentration in groundwater by means of coregionalization. Environmental geology, 36(3), 285-295.

9. [9] FAO. 2002. The state of food insecurity in the World 2002, FAO Report, Published in 2002 by the Food and Agriculture Organization of the United Nations Viale delle Terme di Caracalla, 00100 Rome, Italy.
10. [10] Fu P., Sun J. 2010. Web GIS: principles and applications. Esri Press.
11. [11] Gocmez G., Divrak B., Galena I. 2008. Summary Report of Determination of Change in Groundwater Level in Konya Closed Basin. Ofset Production House, Istanbul, 82.
12. [12] Ho W. 2008. Integrated Analytic Hierarchy Process and Its Applications a Literature Review, European Journal of Operational Research, 186 (1), 211-228.
13. [13] Howell T.A., Evett S.R., Tolk J.A. 2001. Irrigation systems and management to meet future food/fiber needs and to enhance water use efficiency. In Proceedings of the INIFAP-ARS Joint Meeting; A frame work for cooperation. Rio Bravo. Tamaulipas. Mexico and Weslaco, Texas, USA (pp. 10-14).
14. [14] Karaatli M., Omurbek N., Kose G. 2014. Evaluation of Football Player Performance with TopSIS and VIKOR Methods Based on Analytical Hierarchy Process. Dokuz Eylul University Faculty of Economics and Administrative Sciences, 29, 25-61
15. [15] Kaya T., Kahraman C. (2011. An integrated fuzzy AHP–ELECTRE methodology for environmental impact assessment. Expert Systems with Applications, 38(7), 8553-8562.
16. [16] Kecek G., Yildirim E. 2010. Selection of the Enterprise Resource Planning (ERP) System with the Analytical Hierarchy Process (AHP): An Application in the Automotive Sector, Süleyman Demirel University Journal of the Faculty of Economics and Administrative Sciences, 15 (1), 193-211.
17. [17] Keller E.A. 2007. Introduction to Environmental Geology. Prentice Hall, Pearson Education Inc., p. 752, USA
18. [18] Mehrjardi R.T., Akbarzadeh A., Mahmoodi S., Heidari A., Sarmadian F. 2008. Application of geostastical methods for mapping groundwater quality in Azarbayjan Province, Iran. Am. Eurasian J. Agric. Environ. Sci, 3, 726-735.
19. [19] Omurbek N., Demirci N., Akalin P. 2013. Selection of Science with Analytical Network Process and Topsis Methods. Journal of Academic Research and Studies, 118-140
20. [20] Opricovic S., Tzeng G.H. 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
21. [21] Ozbek A., Eren T. 2013. Multiple criteria decision making methods for selecting third party logistics firms: A literature review. Sigma, 31, 178-202.
22. [22] Ozdemir M. 2014. Multi-Criteria Decision Making Methods in Solving Operational, Managerial and Strategic Problems for Businesses, Engineers and Managers (p. 133-152). Bursa: Dora Publishing.
23. [23] Ozkul S., Onusluel G., Harmancıoglu N. 2001. Management of water resources and use of computer models in decision making, III. National Hydrology Congress, 27-29 June 2001, 311-322, Izmir
24. [24] Pawar S.S., Verma D.S. 2013. Digital camera evaluation base on AHP and TOPSIS. International Journal of Engineering Research, 2(2), 51-53.
25. [25] Rockström J. 2003. Resilience building and water demand management for drought mitigation. Physics and Chemistry of the Earth, Parts A/B/C, 28(20-27), 869-877.
26. [26] Saaty T.L. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill International Book Company.
27. [27] Saaty T.L. 1994. How to Make a Decision: The Analytic Hierarchy Process.Interfaces,24(6), 19-43
28. [28] Saaty T.L., Vargas L.G. 2006. Decision making with the analytic network process (Vol. 282). US: Springer Science+ Business Media, LLC.
29. [29] Sargin A.H. 2010. Groundwater, General Directorate of State Hydraulic Works, Department of Geotechnical Services and Groundwater. 200s. Ankara.
30. [30] SHW (State Hydraulic Works), 1972. Hydrogeological Study of the Harran Plain, pp. 49, SHW printing office, Ankara
31. [31] Tardu T., Baskurt T., Guven A., Us E., Dincer A., Tuna M.E., Tezcan U.S. 1987. Structural-stratigraphic features and oil potential of the Akcakale graben. Turkey, 7, 36-48
32. [32] Ustun A., Abbak R.A., Zeray Ozturk E. 2018. Height biases of SRTM DEM related to EGM96: from a global perspective to regional practice. Survey Review, 50(358), 26-35
33. [33] Uyar S. 2006. Effects of Developments in Information Technology on Accounting Profession: Information Economy, Editor: Nihal Kargı, Ekin Publishing House
34. [34] Whitcomb H.A., Cummings T.R., McCullough R.A. 1966. Ground-water resources and geology of northern and central Johnson County, Wyoming (No. 1806). US Government Printing Office
35. [35] Yavuz V.S. 2017. Modeling of groundwater potential and quality of Batman plain with Geographic Information System (GIS), PhD thesis, Dicle University Institute of Science and Technology, Diyarbakir
36. [36] Yesilkanat C., Kobya Y., Taskin H., Cevik U. 2014. Intermediate Value Modeling and Mapping of Total Alpha and Total Beta for Natural Spring Waters in Artvin Province with Geostatistics Estimation and Simulation Methods. Cumhuriyet University Faculty of Arts and Sciences Journal of Science, 35(4), 11-35.
37. [37] Zarif İ.H., Özcep F., Seyyar T. 2004. Liquefaction Hazard Analysis of Alluvial Soils in Yalova. 16th International Geophysics Congress, 7-10 December, Ankara, Turkey.