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Modeling and evaluation of Siverek (Şanlıurfa) groundwater potential by GIS and TOPSIS method

Year 2025, Volume: 29 Issue: 2, 299 - 315, 16.06.2025
https://doi.org/10.29050/harranziraat.1635968

Abstract

In addition to being an important part of the hydrological and hydrogeological systems in its area, it is an important strategy in terms of protecting and developing the gradually depleted groundwater within the resources. It is inevitable to evaluate the groundwater potential and quality of the Siverek basin for gains such as determination of water supply and distribution. Therefore, the mechanism of groundwater should be determined by sensitive hydrological and hydrogeological modeling studies. While current groundwater studies can explain groundwater hydraulics and hydrology, there is little literature on groundwater behavior under variable parameters and different scenarios involving surface water and groundwater interactions. In this study, the TOPSIS method based on the GIS program modeling the groundwater flow was used and the evaluation parameter weights were calculated using MCDM methods. By comparing the parameters with each other, the weights of the criteria were determined by the TOPSIS method. A total score was determined according to the evaluation form for 8 different suggestions entered into the system, such as rainfall, aquifer, slope, drainage density, soil type, geology, geomorphology. The highest scoring parameters were ranked in both methods. In the last stage, the parameters were evaluated and an order of superiority was determined for the ideal solution. The study was concluded by comparing the methods among each other.

References

  • Ada, M., & Cakir, H. (2022). Topsıs ve AHP çok kriterli karar verme yöntemlerinin personel seçim sürecine uygulanması. International Journal of 3D Printing Technologies and Digital Industry, 6(2), 186-200. https://doi.org/10.46519/ij3dptdi.1018279
  • Adiat, K. A. N., Kolawole, A. O., Adeyemo, I. A., Akinlalu, A. A., & Afolabi, D. O. (2024). Assessment of groundwater resources from geophysical and remote sensing data in a basement complex environment using fuzzy-topsis algorithm. Results in Earth Sciences, 2, 100034. https://doi.org/10.1016/j.rines.2024.100034
  • Ahmad, I., Dar, M. A., Andualem, T. G., Teka, A. H., & Tolosa, A. T. (2020). GIS-based multi-criteria evaluation for deciphering of groundwater potential. Journal of the Indian Society of Remote Sensing, 48(2), 305-313. https://doi.org/10.1007/ s12524-019-01078-3
  • Akbari, M., Alamdarlo, H. N., & Mosavi, S. H. (2020). The effects of climate change and groundwater salinity on farmers’ income risk. Ecological Indicators, 110, 105893. https://doi.org/10.1016/j.ecolind.2019.105893
  • Aslan, V., & Sepetcioglu, M. Y. (2022). Modeling Of Groundwater Potential And Quality Of Harran Plain By Gis Supported Ahp And Topsis Methods. Türk Hidrolik Dergisi, 6(1), 31-41. https://dergipark.org.tr
  • Berhanu, K. G., & Hatiye, S. D. (2020). Identification of groundwater potential zones using proxy data: case study of Megech Watershed, Ethiopia. Journal of Hydrology: Regional Studies, 28, 100676. https://doi.org/10.1016/j.ejrh.2020.100676 Celik, R. (2019). Evaluation of groundwater potential by GIS-based multicriteria decision making as a spatial prediction tool: Case study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey. Water, 11(12), 2630. https://doi.org/10.3390/w11122630
  • Celik, M. O., Kusak, L., & Yakar, M. (2024). Assessment of groundwater potential zones utilizing geographic information system-based analytical hierarchy process,
  • Vlse Kriterijumska Optimizacija Kompromisno Resenje, and technique for order preference by similarity to ideal solution methods: a case study in Mersin, Türkiye. Sustainability, 16(5), 2202. https://doi.org/10.3390/su16052202
  • Dehghan Rahimabadi, P., Behnia, M., Nasabpour Molaei, S., Khosravi, H., & Azarnivand, H. (2024). Assessment of groundwater resources potential using Improved Water Quality Index (ImpWQI) and entropy-weighted TOPSIS model. Sustainable Water Resources Management, 10(1), 7. https://doi.org/10.1007/s40899-023-00988-y
  • Das, S., & Pardeshi, S. D. (2018). Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India. Applied Water Science, 8(7), 1-16. https://doi.org/10.1007/s13201-018-0848-x
  • DSI (The General Directorate of State Hydraulic Works) 2012. Şanlıurfa Balıklıgöl Karst Hidrojeolojisi Etüt Raporu. T.C. Enerji ve Tabii Kaynaklar Bakanlığı, Devlet Su İşleri Genel Müdürlüğü, Jeoteknik Hizmetler ve Yeraltı suları Dairesi Başkanlığı, Karst Araştırma Şube Müdürlüğü, Ankara (In Turkish).
  • Ejaz, N., Khan, A. H., Saleem, M. W., Elfeki, A. M., Rahman, K. U., Hussain, S., ... & Shang, S. (2024). Multi-criteria decision-making techniques for groundwater potentiality mapping in arid regions: A case study of Wadi Yiba, Kingdom of Saudi Arabia. Groundwater for Sustainable Development, 26, 101223. https://doi.org/10.1016/j.gsd.2024.101223
  • Fehdi, C., Rouabhia, A., Mechai, A., Debabza, M., Abla, K., & Voudouris, K. (2016). Hydrochemical and microbiological quality of groundwater in the Merdja area, Tébessa, North-East of Algeria. Applied Water Science, 6(1), 47-55. https://doi.org/10.1007/s13201-014-0209-3
  • Guler, G. (2019). An application on financial performance analysis with multi-criteria decision making (Master's thesis, Balıkesir University Institute of Social Sciences). https://hdl.handle.net/20.500.12462/9721
  • Hamed, Y., Hadji, R., Redhaounia, B., Zighmi, K., Bâali, F., & El Gayar, A. (2018). Climate impact on surface and groundwater in North Africa: a global synthesis of findings and recommendations. Euro-Mediterranean Journal for Environmental Integration, 3, 1-15. https://doi.org/10.1007/s41207-018
  • Karaatli, M., Omurbek, N., Budak, I., & Dag, O. (2015). Ranking the livable cities through multi-criteria decision making methods. Selcuk University Social Sciences Institute Journal, 33, 215. https://dergipark.org.tr
  • Karakus, C. B. (2023). Groundwater potential assessment based on GIS-based best–worst method (BWM) and step-wise weight assessment ratio analysis (SWARA) method. Environmental science and pollution research, 30(11), 31851-31880. https://doi.org/10.1007/s11356-022-24425-3
  • Malczewski, J., & Rinner, C. (2015). Multicriteria decision analysis in geographic information science (Vol. 1, pp. 55-77). New York: Springer. https://doi.org/10.1007/978-3-540-74757-4_2
  • Ozyilmaz, H., Payasli Oguz, G., & Hatipoglu, H. (2018). Examination of the Effect of Social Structure on Space in Siverek Houses. Journal of International Social Research, 11(61). https://www.researchgate.net
  • Sarkar, S., & Mandal, D. K. (2024). Integration of Geospatial Modeling and Suitable Ground Water Potential Area Analysis by Using GIS-Based TOPSIS, VIKOR, and EDAS Techniques in the Northern Mahananda River Basin, India. In New Advancements in Geomorphological Research: Issues and Challenges in Quantitative Spatial Science (pp. 153-176). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-64163-3_10
  • Sevik, H., & Cetin, M. (2015). Effects of water stress on seed germination for select landscape plants. Polish Journal of Environmental Studies, 24(2), 689-693. DOI: https://doi.org/10.15244/pjoes/30119
  • State Hydraulic Works (SHW), (2015). SHW 2015 annual report. General Directorate of State Hydraulic Works, 359 p., Ankara.
  • Sinmaz, S., & Ozdemir, H. A. (2016). The Effects of Turkish Urban Planning Practice on Urban Morphology and Typology, An Evaluation for Siverek City. Idealcity, 7(18), 80-115. https://dergipark.org.tr
  • Tamiru, H., Wagari, M., & Tadese, B. (2022). An integrated Artificial Intelligence and GIS spatial analyst tools for Delineation of Groundwater Potential Zones in complex terrain: Fincha Catchment, Abay Basi, Ethiopia. Air, Soil and Water Research, 15, https://doi.org/10.1177/11786221211045972
  • Yildirim, U. (2021). Identification of groundwater potential zones using GIS and multi-criteria decision-making techniques: a case study upper Coruh River basin (NE Turkey). ISPRS International Journal of Geo-Information, 10(6), 396. https://doi.org/10.3390/ijgi10060396
  • Yilmaz, C. B., Sevimli, M. F., Demir, F., & Yakar, M. (2021). Trend analysis of temperature and precipitation in Mediterranean region. Advanced GIS, 1(1), 15-21. https://publish.mersin.edu.tr/index.php/agis/article/view/60

Siverek (Şanlıurfa) yeraltı suyu potansiyelinin CBS ve TOPSIS yöntemiyle modellenmesi ve değerlendirilmesi

Year 2025, Volume: 29 Issue: 2, 299 - 315, 16.06.2025
https://doi.org/10.29050/harranziraat.1635968

Abstract

Bölgesindeki hidrolojik ve hidrojeolojik sistemlerin önemli bir parçası olmasının yanı sıra kaynaklar içerisinde giderek tükenen yeraltı sularının korunması ve geliştirilmesi açısından da önemli bir stratejidir. Siverek havzasının yeraltı suyu potansiyeli ve kalitesinin, su temini ve dağıtımının belirlenmesi gibi kazanımlar için değerlendirilmesi kaçınılmazdır. Bu nedenle yeraltı suyunun mekanizmasının hassas hidrolojik ve hidrojeolojik modelleme çalışmalarıyla belirlenmesi gerekmektedir. Mevcut yeraltı suyu çalışmaları yeraltı suyu hidroliğini ve hidrolojisini açıklayabilse de değişken parametreler ve yüzey suyu ile yeraltı suyu etkileşimlerini içeren farklı senaryolar altında yeraltı suyu davranışı hakkında çok az literatür bulunmaktadır. Bu çalışmada yeraltı suyu akışını modelleyen GIS programına dayalı TOPSIS yöntemi kullanılmış ve değerlendirme parametre ağırlıkları MCDM yöntemleri kullanılarak hesaplanmıştır. Parametreler birbirleriyle karşılaştırılarak kriterlerin ağırlıkları TOPSIS yöntemi ile belirlemiştir. Yağış, akifer, eğim, drenaj yoğunluğu, toprak tipi, jeoloji, jeomorfoloji gibi sisteme girilen 8 farklı öneri için değerlendirme için değerlendirme formuna göre toplam puan belirlenmiştir. Her iki yöntemde de en yüksek puan alan parametreler sıralanmıştır. Son aşamada parametreler değerlendirildi ve ideal çözüm için üstünlük sırası belirlendi. Çalışma, yöntemlerin birbirleriyle karşılaştırılmasıyla sonuçlandırıldı.

References

  • Ada, M., & Cakir, H. (2022). Topsıs ve AHP çok kriterli karar verme yöntemlerinin personel seçim sürecine uygulanması. International Journal of 3D Printing Technologies and Digital Industry, 6(2), 186-200. https://doi.org/10.46519/ij3dptdi.1018279
  • Adiat, K. A. N., Kolawole, A. O., Adeyemo, I. A., Akinlalu, A. A., & Afolabi, D. O. (2024). Assessment of groundwater resources from geophysical and remote sensing data in a basement complex environment using fuzzy-topsis algorithm. Results in Earth Sciences, 2, 100034. https://doi.org/10.1016/j.rines.2024.100034
  • Ahmad, I., Dar, M. A., Andualem, T. G., Teka, A. H., & Tolosa, A. T. (2020). GIS-based multi-criteria evaluation for deciphering of groundwater potential. Journal of the Indian Society of Remote Sensing, 48(2), 305-313. https://doi.org/10.1007/ s12524-019-01078-3
  • Akbari, M., Alamdarlo, H. N., & Mosavi, S. H. (2020). The effects of climate change and groundwater salinity on farmers’ income risk. Ecological Indicators, 110, 105893. https://doi.org/10.1016/j.ecolind.2019.105893
  • Aslan, V., & Sepetcioglu, M. Y. (2022). Modeling Of Groundwater Potential And Quality Of Harran Plain By Gis Supported Ahp And Topsis Methods. Türk Hidrolik Dergisi, 6(1), 31-41. https://dergipark.org.tr
  • Berhanu, K. G., & Hatiye, S. D. (2020). Identification of groundwater potential zones using proxy data: case study of Megech Watershed, Ethiopia. Journal of Hydrology: Regional Studies, 28, 100676. https://doi.org/10.1016/j.ejrh.2020.100676 Celik, R. (2019). Evaluation of groundwater potential by GIS-based multicriteria decision making as a spatial prediction tool: Case study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey. Water, 11(12), 2630. https://doi.org/10.3390/w11122630
  • Celik, M. O., Kusak, L., & Yakar, M. (2024). Assessment of groundwater potential zones utilizing geographic information system-based analytical hierarchy process,
  • Vlse Kriterijumska Optimizacija Kompromisno Resenje, and technique for order preference by similarity to ideal solution methods: a case study in Mersin, Türkiye. Sustainability, 16(5), 2202. https://doi.org/10.3390/su16052202
  • Dehghan Rahimabadi, P., Behnia, M., Nasabpour Molaei, S., Khosravi, H., & Azarnivand, H. (2024). Assessment of groundwater resources potential using Improved Water Quality Index (ImpWQI) and entropy-weighted TOPSIS model. Sustainable Water Resources Management, 10(1), 7. https://doi.org/10.1007/s40899-023-00988-y
  • Das, S., & Pardeshi, S. D. (2018). Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India. Applied Water Science, 8(7), 1-16. https://doi.org/10.1007/s13201-018-0848-x
  • DSI (The General Directorate of State Hydraulic Works) 2012. Şanlıurfa Balıklıgöl Karst Hidrojeolojisi Etüt Raporu. T.C. Enerji ve Tabii Kaynaklar Bakanlığı, Devlet Su İşleri Genel Müdürlüğü, Jeoteknik Hizmetler ve Yeraltı suları Dairesi Başkanlığı, Karst Araştırma Şube Müdürlüğü, Ankara (In Turkish).
  • Ejaz, N., Khan, A. H., Saleem, M. W., Elfeki, A. M., Rahman, K. U., Hussain, S., ... & Shang, S. (2024). Multi-criteria decision-making techniques for groundwater potentiality mapping in arid regions: A case study of Wadi Yiba, Kingdom of Saudi Arabia. Groundwater for Sustainable Development, 26, 101223. https://doi.org/10.1016/j.gsd.2024.101223
  • Fehdi, C., Rouabhia, A., Mechai, A., Debabza, M., Abla, K., & Voudouris, K. (2016). Hydrochemical and microbiological quality of groundwater in the Merdja area, Tébessa, North-East of Algeria. Applied Water Science, 6(1), 47-55. https://doi.org/10.1007/s13201-014-0209-3
  • Guler, G. (2019). An application on financial performance analysis with multi-criteria decision making (Master's thesis, Balıkesir University Institute of Social Sciences). https://hdl.handle.net/20.500.12462/9721
  • Hamed, Y., Hadji, R., Redhaounia, B., Zighmi, K., Bâali, F., & El Gayar, A. (2018). Climate impact on surface and groundwater in North Africa: a global synthesis of findings and recommendations. Euro-Mediterranean Journal for Environmental Integration, 3, 1-15. https://doi.org/10.1007/s41207-018
  • Karaatli, M., Omurbek, N., Budak, I., & Dag, O. (2015). Ranking the livable cities through multi-criteria decision making methods. Selcuk University Social Sciences Institute Journal, 33, 215. https://dergipark.org.tr
  • Karakus, C. B. (2023). Groundwater potential assessment based on GIS-based best–worst method (BWM) and step-wise weight assessment ratio analysis (SWARA) method. Environmental science and pollution research, 30(11), 31851-31880. https://doi.org/10.1007/s11356-022-24425-3
  • Malczewski, J., & Rinner, C. (2015). Multicriteria decision analysis in geographic information science (Vol. 1, pp. 55-77). New York: Springer. https://doi.org/10.1007/978-3-540-74757-4_2
  • Ozyilmaz, H., Payasli Oguz, G., & Hatipoglu, H. (2018). Examination of the Effect of Social Structure on Space in Siverek Houses. Journal of International Social Research, 11(61). https://www.researchgate.net
  • Sarkar, S., & Mandal, D. K. (2024). Integration of Geospatial Modeling and Suitable Ground Water Potential Area Analysis by Using GIS-Based TOPSIS, VIKOR, and EDAS Techniques in the Northern Mahananda River Basin, India. In New Advancements in Geomorphological Research: Issues and Challenges in Quantitative Spatial Science (pp. 153-176). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-64163-3_10
  • Sevik, H., & Cetin, M. (2015). Effects of water stress on seed germination for select landscape plants. Polish Journal of Environmental Studies, 24(2), 689-693. DOI: https://doi.org/10.15244/pjoes/30119
  • State Hydraulic Works (SHW), (2015). SHW 2015 annual report. General Directorate of State Hydraulic Works, 359 p., Ankara.
  • Sinmaz, S., & Ozdemir, H. A. (2016). The Effects of Turkish Urban Planning Practice on Urban Morphology and Typology, An Evaluation for Siverek City. Idealcity, 7(18), 80-115. https://dergipark.org.tr
  • Tamiru, H., Wagari, M., & Tadese, B. (2022). An integrated Artificial Intelligence and GIS spatial analyst tools for Delineation of Groundwater Potential Zones in complex terrain: Fincha Catchment, Abay Basi, Ethiopia. Air, Soil and Water Research, 15, https://doi.org/10.1177/11786221211045972
  • Yildirim, U. (2021). Identification of groundwater potential zones using GIS and multi-criteria decision-making techniques: a case study upper Coruh River basin (NE Turkey). ISPRS International Journal of Geo-Information, 10(6), 396. https://doi.org/10.3390/ijgi10060396
  • Yilmaz, C. B., Sevimli, M. F., Demir, F., & Yakar, M. (2021). Trend analysis of temperature and precipitation in Mediterranean region. Advanced GIS, 1(1), 15-21. https://publish.mersin.edu.tr/index.php/agis/article/view/60
There are 26 citations in total.

Details

Primary Language English
Subjects Conservation and Improvement of Soil and Water Resources
Journal Section Araştırma Makaleleri
Authors

Veysel Aslan 0000-0002-0288-073X

Early Pub Date June 11, 2025
Publication Date June 16, 2025
Submission Date February 8, 2025
Acceptance Date May 20, 2025
Published in Issue Year 2025 Volume: 29 Issue: 2

Cite

APA Aslan, V. (2025). Modeling and evaluation of Siverek (Şanlıurfa) groundwater potential by GIS and TOPSIS method. Harran Tarım Ve Gıda Bilimleri Dergisi, 29(2), 299-315. https://doi.org/10.29050/harranziraat.1635968

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