SavedAdd your journal

Journals / Türkiye Uzaktan Algılama Dergisi / 2026 / Volume: 6 Issue: 1

Determination of Potential Geothermal Areas in Konya Seydişehir District Using GIS-based Multi-Criteria Decision Analysis

Konya Seydişehir İlçesinde CBS Tabanlı Potansiyel Jeotermal Alanların Belirlenmesi için Çok Ölçütlü Karar Analizi Kullanımı

Münevver Gizem Gümüş(NİĞDE ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, HARİTA MÜHENDİSLİĞİ BÖLÜMÜ, KAMU ÖLÇMELERİ ANABİLİM DALI)0000-0003-4606-2277
Süleyman Savaş Durduran(NECMETTİN ERBAKAN ÜNİVERSİTESİ)0000-0003-0509-4037
Pages
—
Publication Date
2024-06-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

With such a study, it is foreseen that the geothermal potential areas identified in the region will constitute an important infrastructure inventory for local governments and decision-makers in terms of evaluating and developing geothermal resources and providing suggestions for investments to be made in order to bring the maximum capacity to the national economy.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Today, one of the main challenges that countries face in their economic and social development efforts is to ensure access to cheap, clean and reliable energy resources.
📊
Key Findings & Data:Especially the damages caused by fossil fuels and major environmental problems such as global warming increase the need for renewable energy sources.
💡
Conclusion & Impact:With such a study, it is foreseen that the geothermal potential areas identified in the region will constitute an important infrastructure inventory for local governments and decision-makers in terms of evaluating and developing geothermal resources and providing suggestions for investments to be made in order to bring the maximum capacity to the national economy.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Analytical Hierarchy Method · Multi-Criteria Decision Making · Geothermal Energy

Abstract

Today, one of the main challenges that countries face in their economic and social development efforts is to ensure access to cheap, clean and reliable energy resources. Especially the damages caused by fossil fuels and major environmental problems such as global warming increase the need for renewable energy sources. Turkey is among the richest countries in the world in terms of geothermal energy potential. Our country has great geothermal potential, ranking first in Europe and seventh in the world. Seydişehir district of Konya province is a residential area that has attracted attention in recent years with its geothermal energy potential and developments in the field of thermal tourism and the process of exploring geothermal areas is ongoing. In this study, the Analytic Hierarchy Process (AHP) method, which is a GIS-based Multi-Criteria Decision Analysis method (MCDA), was used to identify potential geothermal areas. All criteria used for the AHP method were determined by taking expert opinion and literature research. The potential geothermal map of the region was produced by combining the weighted layers of the standardized data according to AHP. With such a study, it is foreseen that the geothermal potential areas identified in the region will constitute an important infrastructure inventory for local governments and decision-makers in terms of evaluating and developing geothermal resources and providing suggestions for investments to be made in order to bring the maximum capacity to the national economy.

Özet

Günümüzde, ülkelerin ekonomik ve sosyal kalkınma çabalarında karşılaştıkları temel sorunlardan biri, ucuz, temiz ve güvenilir enerji kaynaklarına erişimi sağlamaktır. Özellikle fosil yakıtların yaydığı zararlar ve küresel ısınma gibi büyük çevresel sorunlar, yenilenebilir enerji kaynaklarına olan ihtiyacı artırmaktadır. Türkiye, jeotermal enerji potansiyeli bakımından dünya genelinde zengin ülkeler arasında yer almaktadır. Ülkemiz, Avrupa'da birinci, dünyada ise yedinci sırada yer alarak büyük bir jeotermal potansiyele sahiptir. Konya ili Seydişehir ilçesi, son yıllarda jeotermal enerji potansiyeli ve termal turizm alanındaki gelişimleriyle dikkat çeken ve jeotermal alanları araştırma süreci devam eden bir yerleşim bölgesidir. Bu çalışmada, potansiyel jeotermal alanların tespiti için CBS tabanlı Çok Kriterli Karar Analiz yöntemi olan Analitik Hiyerarşi Süreci (AHP) yöntemi kullanılmıştır. AHP yöntemi için kullanılan tüm ölçütler uzman görüşü alınarak ve literatür araştırmaları sonucu oluşturulmuştur. Belirlenen kriterler AHP'ye göre standartlaştırılmış verilerin ağırlıklı katmanları birleştirilerek bölgenin potansiyel jeotermal haritası üretilmiştir. Böyle bir çalışma ile bölgedeki belirlenen jeotermal potansiyel alanların ülke ekonomisine maksimum kapasite ile kazandırılması amacıyla jeotermal kaynakların değerlendirilmesi, geliştirilmesi ve yapılacak yatırımlar için öneriler sunulması noktasında yerel yönetimler ve karar vericiler için önemli bir altlık envanter oluşturacağı öngörülmektedir.

🔖

Cite This Article

Gümüş, M. G., Durduran, S. S. (2024). Determination of Potential Geothermal Areas in Konya Seydişehir District Using GIS-based Multi-Criteria Decision Analysis. Türkiye Uzaktan Algılama Dergisi, Volume: 6 Issue: 1. https://doi.org/10.51489/tuzal.1400620

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (30)

  1. Abuzied, S. M., Kaiser, M. F., Shendi, E. A. H. & Abdel-Fattah, M. I. (2020). Multi-criteria decision support for geothermal resources exploration based on remote sensing, GIS and geophysical techniques along the Gulf of Suez coastal area, Egypt. Geothermics, 88, 101893. https://doi. org/10.1016/j.geothermics.2020.101893
  2. Arık, F. (2011). Konya’da Bulunan Enerji Kaynakları ve Potansiyeli (in Turkish). 1. Konya Kent Sempozyumu, Konya, Turkey, 26-27.
  3. Brunsell N. A. & Gillies, R.R. (2003). Length scale analysis of surface energy fluxes derived from remote sensing, Journal of Hydrometeorology, 4(6), 1212–1219. https://doi.org/10.1175/1 525-7541(2003)004 2.0.CO;2
  4. Bulut, M. & Filiz, Ş. (2005). Bayındır jeotermal sahasının hidrojeolojisi, hidrokimyası ve izotopik özellikleri (İzmir, Batı Anadolu, Türkiye) (in Turkish). Maden Tetkik ve Arama Dergisi, (131), 63-78.
  5. Deo, R. C. & Şahin, M. (2017). Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland. Renewable and Sustainable Energy Reviews, 72, 828-848. https://doi.org/10.1016/j.rser.2017.01.114
  6. Kiavarz, M. & Jelokhani-Niaraki, M. (2017). Geothermal prospectivity mapping using GIS-based Ordered Weighted Averaging approach: A case study in Japan’s Akita and Iwate provinces. Geothermics, 70, 295-304. https://doi.org/10.1016/j.geothermics.2017.06.015
  7. Kilic, F. C. (2016). Geothermal energy in Turkey. Energy & Environment, 27(3-4), 360-376. https://www.jstor.org/stable/90006618
  8. Kömürcü, M. İ. & Akpınar, A. (2009). Importance of geothermal energy and its environmental effects in Turkey. Renewable energy, 34(6), 1611-1615. https://doi.org/10.1016/j.renene.2008.11.012
  9. Li, X., Huang, C., Chen, W., Li, Y., Han, J., Wang, X., Bai, X., Yin, Z., Li, X., Hou, P. & Tong, J. (2023). GIS model for geothermal advantageous target selection. Scientific Reports, 13(1), 6024. https://doi.org/10.1038/ s41598-023-32785-0
  10. Meng, F., Liang, X., Xiao, C. & Wang, G. (2021). Geothermal resource potential assessment utilizing GIS-based multi criteria decision analysis method. Geothermics, 89, 101969. https://doi.org/10.1016/j.geothermics.2020.10196
  11. Noorollahi, Y., Ghasempour, R. & Jalilinasrabady, S. (2015). A GIS based integration method for geothermal resources exploration and site selection. Energy Exploration & Exploitation, 33(2), 243-257. https://doi.org/10.1260/0144-5987.33.2.243
  12. Noorollahi, Y., Itoi, R., Fujii, H. & Tanaka, T. (2007). GIS model for geothermal resource exploration in Akita and Iwate prefectures, northern Japan. Computers & geosciences, 33(8), 1008-1021. https://doi.org/10.1016/j.cageo.2006.11.006
  13. Nwaiwu, U., Leach, M. & Liu, L. (2023). Development of an Improved Decision Support Tool for Geothermal Site Selection in Nigeria Based on Comprehensive Criteria. Energies, 16(22), 7602. https://doi.org/10.3390/en16227602
  14. Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48(1), 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
  15. Saaty, T. L. (2004). Decision Making - The Analytic Hierarchy and Network Processes (AHP/ANP). Journal of Systems Science and Systems Engineering, 13(1), 1-35. https://doi.org/10.1007/s11518-006-0151-5
  16. Saaty, T. L., 1980, Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. Journal of Mathematical Psychology, 24(3), 287-234.
  17. Şener, E. & Şener, Ş. (2021). Exploration of geothermal potential using integrated fuzzy logic and analytic hierarchy process (AHP) in Ağrı, Eastern Turkey. Turkish Journal of Earth Sciences, 30(9), 1134-1150. https://doi.org/ 10.3906/yer-2105-18
  18. Serpen, U., Aksoy, N., Öngür, T. & Korkmaz, E. D. (2009). Geothermal energy in Turkey: 2008 update. Geothermics, 38(2), 227-237. https://doi.org/10.1016/j.geothermics.2009.01.002
  19. Solanky, V., Singh, S. & Katiyar, S. K. (2018) Land Surface Temperature Estimation Using Remote Sensing Data, In Hydrologic Modeling: Select Proceedings of ICWEES-2016, Singapore, 343-351.
  20. Tinti, F., Kasmaee, S., Elkarmoty, M., Bonduà, S. & Bortolotti, V. (2018). Suitability evaluation of specific shallow geothermal technologies using a GIS-Based multi criteria decision analysis implementing the analytic hierarchic process. Energies, 11(2), 457. https://doi.org/10.3390/ en11020457
  21. URL-1: http://www.kop.gov.tr/sayfalar/raporlar/ 77 [Access Date: 01.10.2023]
  22. URL-2: https://www.mta.gov.tr/ 7 [Access Date: 09.10.2023]
  23. URL-3: https://tr.wikipedia.org/wiki/Seydi%C5%9 Fehir [Access Date: 21.11.2023]
  24. URL-4: https://www.nik.com.tr/[Access Date: 11.10.2023]
  25. URL-5: https://search.asf.alaska.edu/#/ [Access Date: 11.10.2023]
  26. URL-6:https://www.usgs.gov/landsat-missions/lan dsat-9 [Access Date: 21.11.2023]
  27. Xu, L., Wu, W., Qian, J., Huang, S., Xie, B., Hu, T., Lang, X., He, B. & Hu, C. (2023). Analysis of geothermal potential in Hangjiahu area based on remote sensing and geographic information system. Frontiers in Earth Science, 10, 1031665. https: //doi.org/10.3389/feart.2022.1031665
  28. Yalcin, M., & Gul, F. K. (2017). A GIS-based multi criteria decision analysis approach for exploring geothermal resources: Akarcay basin (Afyonkarahisar). Geothermics, 67, 18-28. https://doi.org/10.1016/j.geothermics.2017.01.002
  29. Yalcin, M., Sari, F. & Yildiz, A. (2023). Exploration of potential geothermal fields using MAXENT and AHP: A case study of the Büyük Menderes Graben. Geothermics, 114, 102792. https:// doi.org/10.1016/j.geothermics.2023.102792
  30. Yousefi, H., Ehara, S. & Noorollahi, Y. (2007). Geothermal potential site selection using GIS in Iran. In Proceedings of the 32nd workshop on geothermal reservoir engineering, Stanford University, Stanford, California, 174-182.