华东地质2023，Vol.44Issue(4)：424-438,15.DOI:10.16788/j.hddz.32-1865/P.2023.04.006
遥感地热GIS预测方法研究——以江西宁都地区为例
Remote sensing geothermal GIS prediction method-a case study in Ningdu City,Jiangxi Province
摘要
Abstract
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 car-ried out,and the indication functions of geology,remote sensing and geophysical exploration on geother-mal 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 sys-tem,aero-magnetism and gravity were put forward.Geothermal prediction was carried out with the meth-ods 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,indica-ting 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.关键词
遥感/地热/热红外/预测因子/GIS技术/宁都Key words
remote sensing/geothermal/thermal infrared/predictors/GIS technology/Ningdu City分类
天文与地球科学引用本文复制引用
袁晶,陈艳,唐春花,孙超,宛胜,钱正江,唐枭,汪明有..遥感地热GIS预测方法研究——以江西宁都地区为例[J].华东地质,2023,44(4):424-438,15.基金项目
江西省地质局"遥感方法在地热资源调查与预测中的应用"项目资助. （）
