| Abstrakt: |
Remote sensing technology is widely used in geothermal resource investigation and prediction. To solve the problems of the low accuracy and many false anomalies in the traditional remote sensing geothermal prediction, this paper presents a method of remote sensing geothermal GIS prediction. Taking Ningdu, Jiangxi Province as the research area, the study on thermal geological conditions was carried out, and the indication functions of geology, remote sensing and geophysical exploration on geothermal energy were analyzed. Furthermore, 13 predictive factors including strata, magmatic rocks, thermal control faults, water control faults, fault intersection, ETM + thermal infrared inversion temperature, ASTER thermal infrared inversion temperature, hydroxyl anomaly, soil moisture, elevation, water system, aero-magnetism and gravity were put forward. Geothermal prediction was carried out with the methods of evidence-weight, prospecting information and characteristic analysis, and 79 geothermal favorable areas consisting of 12 places of Class A, 22 Class B and 45 Class C were delineated through comprehensive analysis. The known geothermal distribution coincides with Class A and Class B favorable areas, and the Class A favorable areas were partially found with geothermal anomalies by the field investigation, indicating high reliability of the prediction. Remote sensing geothermal GIS prediction is a practical and effective method because of its multi-source remote sensing data, incremental prediction factors and intelligence, which can be used as a conventional technique in geothermal resource survey. [ABSTRACT FROM AUTHOR] |
