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GIS based geothermal potential assessment: A case study from Western Anatolia, Turkey

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  • Tüfekçi, Nesrin
  • Lütfi Süzen, M.
  • Güleç, Nilgün

Abstract

Potential geothermal areas are identified through investigation of spatial relations between geothermal occurrences and their surrounding geological phenomena in western Anatolia, Turkey. The identification is based on only publicly available data. It is expected that the study will guide further preliminary investigations performed for large areas having limited information. Magnetic anomaly, Bouger gravity anomaly, earthquake epicenter and lineament datasets are used for the analysis. The first is used without any modification whereas the rest are utilized to extract three evidence maps; distance to major grabens, Gutenberg–Richter b-value and distance to lineaments, respectively. Predictor maps are produced from these evidence maps as well as from the unprocessed magnetic anomaly map by applying two different binarization procedures. From each binarization procedure a favorability map is produced separately using Index Overlay (IO) and Weights of Evidence (WofE) methods. The findings reveal that weighting predictor maps according to spatial association between evidence maps and training points lead to more accurate prediction in both WofE and IO methods. The potential areas in the final maps are Aydın, Denizli, Manisa, Balıkesir and Kutahya of which first two have been explored and exploited, and thus found to be favorable, while the rest are nearly unexplored.

Suggested Citation

  • Tüfekçi, Nesrin & Lütfi Süzen, M. & Güleç, Nilgün, 2010. "GIS based geothermal potential assessment: A case study from Western Anatolia, Turkey," Energy, Elsevier, vol. 35(1), pages 246-261.
  • Handle: RePEc:eee:energy:v:35:y:2010:i:1:p:246-261
    DOI: 10.1016/j.energy.2009.09.016
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    References listed on IDEAS

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    1. Kaygusuz, Kamil & Kaygusuz, Abdullah, 2004. "Geothermal energy in Turkey: the sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(6), pages 545-563, December.
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    Cited by:

    1. Athens, Noah D. & Caers, Jef K., 2019. "A Monte Carlo-based framework for assessing the value of information and development risk in geothermal exploration," Applied Energy, Elsevier, vol. 256(C).
    2. Francesco Tinti & Sara Kasmaee & Mohamed Elkarmoty & Stefano Bonduà & Villiam Bortolotti, 2018. "Suitability Evaluation of Specific Shallow Geothermal Technologies Using a GIS-Based Multi Criteria Decision Analysis Implementing the Analytic Hierarchic Process," Energies, MDPI, vol. 11(2), pages 1-21, February.
    3. Zhang, Yu & Zhang, Yanjun & Yu, Hai & Li, Jianming & Xie, Yangyang & Lei, Zhihong, 2020. "Geothermal resource potential assessment of Fujian Province, China, based on geographic information system (GIS) -supported models," Renewable Energy, Elsevier, vol. 153(C), pages 564-579.
    4. Fatma Canka Kilic, 2016. "Geothermal Energy in Turkey," Energy & Environment, , vol. 27(3-4), pages 360-376, May.
    5. Messineo, Antonio & Volpe, Roberto & Marvuglia, Antonino, 2012. "Ligno-cellulosic biomass exploitation for power generation: A case study in sicily," Energy, Elsevier, vol. 45(1), pages 613-625.

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