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Abstract
As the particularly popular green energy, geothermal resources are gradually favored by countries around the world, and the development model centered on geothermal dew point cannot meet the increasing geothermal demand. In this paper, a GIS model combining PCA and AHP is proposed, aiming to select the advantages of geothermal resources at the regional scale and analyze the main influencing indicators. Through the combination of the two methods, both data and empirical can be considered, then the geothermal advantage distribution on the area can be displayed through GIS software images. A multi-index evaluation system is established to qualitatively and quantitatively evaluate the mid-high temperature geothermal resources in Jiangxi Province, and carry out the evaluation of the dominant target areas and the analysis of geothermal impact indicators. The results show that it is divided into 7 geothermal resource potential areas and 38 geothermal advantage targets, and the determination of deep fault is the most critical index of geothermal distribution. This method is suitable for large-scale geothermal research, multi-index and multi-data model analysis and precise positioning of high-quality geothermal resource targets, which can meet the needs of geothermal research at the regional scale.
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Details
1 China University of Geosciences, School of Environment Studies, Wuhan, China (GRID:grid.503241.1) (ISNI:0000 0004 1760 9015)
2 Wuhan Center of China Geological Survey (Center South China Innovation Center for Geosciences), Wuhan, China (GRID:grid.452954.b) (ISNI:0000 0004 0368 5009)
3 China University of Geosciences, Institute of Geological Survey, Wuhan, China (GRID:grid.503241.1) (ISNI:0000 0004 1760 9015)
4 Jiangxi Mineral Resources Guarantee Service Center, Nanchang, China (GRID:grid.503241.1)
5 Hydrogeological Brigade of Jiangxi Geological Bureau, Nanchang, China (GRID:grid.503241.1)
6 The Fourth Geological Brigade of Jiangxi Geological BureauScience and Technology, Department of Jiangxi Province, Pingxiang, China (GRID:grid.503241.1)