Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Geothermal resource assessment of the Gediz Graben utilizing TOPSIS methodology
Date
2019-07-01
Author
Cambazoglu, Selim
Yal, Gozde Pinar
Eker, Arif Mert
Sen, Osman
Akgün, Haluk
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
263
views
0
downloads
Cite This
The Gediz Graben possesses the second highest geothermal power generation potential in Western Anatolia, Turkey. In this study, the geothermal resource potential of the Gediz Graben has been assessed by following an ideal point methodology. For this purpose, nine criteria layers were introduced into a GIS environment, namely, distance to faults and fault density, distance to cap rock units, hot springs and graben center, Gutenberg-Richter b-value map, night-time surface temperature, NDVI and slope. Each layer was weighted by using the pairwise comparison method. Then, an ideal point methodology, namely, Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) was used to rank the geothermal favorability of the Gediz Graben from most favorable to least favorable. In order to assess the success of the geothermal favorability map, a comparison of the favorability classes with the known producing well data revealed that 76% of the wells fell within the highest two favorability classes where none of the wells were located in the least two favorable classes.
Subject Keywords
Geotechnical Engineering and Engineering Geology
,
Renewable Energy, Sustainability and the Environment
,
Geology
URI
https://hdl.handle.net/11511/36367
Journal
GEOTHERMICS
DOI
https://doi.org/10.1016/j.geothermics.2019.01.005
Collections
Department of Geological Engineering, Article
Suggestions
OpenMETU
Core
Characterization and Comparison of geothermal fluids geochemistry within the Kızıldere Geothermal Field in Turkey: New findings with power capacity expanding studies
Tut Haklıdır , Füsun S.; Şengün, Raziye; Aydın, Hakkı (Elsevier BV, 2021-7)
The Kızıldere geothermal field is the first known high-temperature geothermal field in Turkey. The field is located in the Büyük Menderes Graben (BMG), Western Anatolia (Turkey). There are four production sections (reservoir-I, II, III, and IV) with different rock compositions and geochemical characteristics in the production area. Identifying and characterizing these production units may give a good insight into field development plans for a sustainable production. This study aims to characterize productio...
Geotechnical characteristics of residual soils in rainfall-triggered landslides in Rize, Turkey
Üyetürk, Celal Emre; Huvaj Sarıhan, Nejan; Bayraktaroğlu, Hilmi; Huseyinpasaoglu, Mustafa (Elsevier BV, 2020-01-01)
© 2019 Elsevier B.V.Every year, hundreds of landslides are triggered by rainfall in the city of Rize, northern Turkey, resulting in casualties and devastating social and economic consequences. Although these landslides have been observed every year, for a long time in Rize, there is limited data on characteristics of these soils in the literature. Characterizing these soils is of paramount importance for numerical modeling of the landslide mechanisms, for stabilization works, for landslide susceptibility ma...
Landslide susceptibility mapping: A comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey)
Yesilnacar, E; Topal, Tamer (Elsevier BV, 2005-07-01)
Landslide susceptibility mapping is one of the most critical issues in Turkey. At present, geotechnical models appear to be useful only in areas of limited extent, because it is difficult to collect geotechnical data with appropriate resolution over larger regions. In addition, many of the physical variables that are necessary for running these models are not usually available, and their acquisition is often very costly. Conversely, statistical approaches are currently pursued to assess landslide hazard ove...
Subsurface structure of the central Thrace basin from 3d seismic reflection data
Taikulakov, Yerlan; Özacar, Atilla Arda; Kaymakcı, Nuretdin; Department of Geological Engineering (2011)
The Thrace Basin located in northwest Turkey displays attractive prospective traps for hydrocarbon and has received much attention from the petroleum industry. Despite the extensive exploration efforts, there are only few studies which address the fault kinematics and deformation mechanism of the region in connection with structural development. In this study, 3D raw seismic data set collected around Temrez High near Babaeski fault zone will be processed and interpreted along with the available borehole dat...
Modeling of mogan and eymir lakes aquifer system
Yağbasan, Özlem; Yazıcıgil, Hasan; Department of Geological Engineering (2007)
Mogan and Eymir Lakes, located 20 km south of Ankara, are important aesthetic, recreational, and ecological resources. Dikilitaş and İkizce reservoirs, constructed on upstream surface waters, are two man-made structures in the basin encompassing an area of 985 km2. The purpose of this study is (1) to quantify groundwater components in lakes’ budgets, (2) to assess the potential impacts of upstream reservoirs on lake levels, and (3) to determine effects of potential climatic change on lakes and groundwater l...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Cambazoglu, G. P. Yal, A. M. Eker, O. Sen, and H. Akgün, “Geothermal resource assessment of the Gediz Graben utilizing TOPSIS methodology,”
GEOTHERMICS
, pp. 92–102, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36367.