1. Spatial characteristics of geothermal anomalies in the Guangdong-Hong Kong-Macao Greater Bay Area based on GIS.
- Author
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XU Jiangwan, HUANG Shaopeng, WEI Zheng'an, and LI Yongyi
- Abstract
Geothermal resources are rich in the Guangdong-Hong Kong-Macao Greater Bay Area, South China. The spatial distribution characteristics of geothermal anomalies can provide scientific supports for evaluating geothermal resources potential and decision-making on geothermal exploration and development in the Greater Bay area. Based on geographic information systems (GIS) technology, spatial data layers including terrestrial heat flow, granite distribution, fault, Bouguer gravity anomaly, aeromagnetic anomaly, and Curie depth were constructed, and their spatial correlations to geothermal anomalies were analyzed. The results show that geothermal anomalies are favorably located in the areas of heat flow value greater than 75 mW/m2, Yanshaian granite bourdary or interior, distance less than 3 km form a major fault, Bougue gravity anomaly gradient greater than 1. 6 mGal/km, aeromagnetic anomaly value of -5~5 nT, and Curie depth smaller than 15 km. The occurrence of strong geothermal anomalies is most closely related to Curie depth, Yanshanian granites and major faults. On the basis of the constructed data layers and the classification of their geothermal anomaly relevancies, two methods for predicting mineral resources, namely the weights of evidence (WoE) model and the weighted information value (WIV) model, were employed to integrate and analyze the multivariate spatial information for geothermal resources prospect. This study shows that lower mountainous or hilly areas with widespread distribution of Yanshanian granite and high rock thermal conductivity are prone to strong geothermal anomalies. The western Jiangmen, central Zhaoqing, northeastern Guangzhou, northeastern Huizhou, and Shenzhen are of these characteristics. They are considered as high-potential geothermal resource areas in the Greater Bay area. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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