Potential mapping of East-Azerbaijan geothermal resources in 1:250000 scale by geological and exploration data in GIS environment


Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran


In this paper, the potential of geothermal resources in the East Azerbaijan province was mapped using two different knowledge driven data integration approaches in a Geographic Information System (GIS). The main objective of producing such favorability map was to introduce the highly promising areas to the next exploration stages planned as part of a systematic geothermal resource exploration program. In this regard, evidential layers considered as indicators of geothermal resources have been specified and processed. The input dataset were categorized in three thematic groups including geological, geophysical and remotely sensed extracted data layers required for further processing in 1:250000 scale. The evidential layers were then integrated using Boolean and Weighted Overlay approaches. The results of these knowledge-driven integration methods were mapped to highlight the most favorable areas in the East Azerbaijan province for the next step of the planned geothermal exploration program. These areas which cover small portion of the province are consistent and correlated with each other as they do with the ground truths. The results showed that 100 percent of all known hot springs considered as ground truth realizations fall in the favorable areas obtained using Boolean approach while for the weighted overlay approach this figure amounts to 81.3 percent.


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