GIS model for geothermal advantageous target selection

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.

Advances in Thermal Infrared Remote Sensing Technology for Geothermal Resource Detection

“…The integrated application of multi-band and multi-source remote sensing data has the potential to reveal a more comprehensive understanding of the properties and characteristics of geothermal resources [57,66,90]. (4) The integration of remote sensing technology with GIS presents substantial practical utility in geothermal resource exploration [91][92][93]. This integrated approach provides extensive and multidimensional data that aid in identifying potential geothermal zones and analyzing their geothermal energy potential.…”