A remote sensing methodology for predicting geothermal resources in the Wugongshan uplift zone

doi:10.6046/zrzyyg.2023003

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Abstract

Based on thermal infrared and multispectral remote sensing data, this study analyzed the thermal spring-related structures interpreted from remote sensing images. Thermal springs crop out at the intersections of asterisk- and lambda-shaped structures, with asterisk-shaped structures exhibiting more favorable conditions. By delving into remote sensing characteristics related to thermal springs, this study presented remote sensing factors like surface temperature, hydroxyl anomaly, soil moisture, hydrographic net, and elevation. Using mathematical geostatistics and prediction methods based on geographical information system (GIS), including the weight of evidence, prospecting information content method, and feature factor method, this study analyzed the geological, remote sensing, and geophysical factors related to thermal springs for mathematical geostatistics and prediction. The comprehensive analysis reveals 57 favorable geothermal areas, including 8 in category A, 18 in category B, and 31 in category C. All the category-A favorable geothermal areas include known geothermal sites, and one category-B favorable area reveals a 51.6 ℃ thermal spring, suggesting reliable prediction results. The methodology of this study provides a new approach for geothermal resource prediction.

Keywords surface temperature hydroxyl anomaly soil moisture GIS mathematical geostatistics

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TP79

Issue Date: 14 June 2024

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	Yan CHEN
	Jing YUAN
	Chunhua TANG
	Chao SUN
	Xiao TANG
	Mingyou WANG

Cite this article:

Yan CHEN,Jing YUAN,Chunhua TANG, et al. A remote sensing methodology for predicting geothermal resources in the Wugongshan uplift zone[J]. Remote Sensing for Natural Resources, 2024, 36(2): 27-38.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2023003 OR https://www.gtzyyg.com/EN/Y2024/V36/I2/27

Fig.1 Geological map of Wugongshan uplift

Tab.1 The basic characteristics table of known geothermal in the study area

Fig.2 Structural map of hot spring interpretation in Wugongshan area

Fig.3 Soil moisture monitoring model

Tab.2 The correlation between known geothermal and remote sensing factors

Fig.4 Land surface temperature anomaly discrimination diagram based on statistical method

Fig.5 Normal distribution curve

Fig.6 Thermal infrared inversion temperature map of ETM data

Fig.7 Anomaly distribution map of hydroxyl

分类	预测因子		因子取值	因子提取
地质	岩浆岩	Ⅰ级	加里东期花岗岩	提取加里东期花岗岩面文件
	岩浆岩	Ⅱ级	印支期、燕山期花岗岩	提取印支期、燕山期花岗岩面文件
	地层		寒武纪变质岩	提取寒武纪变质岩面文件
	断裂	已知控热断裂	温汤-新泉断裂、洪江-莲花断裂	断裂缓冲1 000 m
		推测控热断裂	区域NE向断裂	断裂缓冲500 m
		推测控水断裂	次级NW、近EW向断裂	断裂缓冲250 m
		断裂节点	控热断裂与控水断裂节点	断裂节点缓冲250 m
遥感	ETM反演温度	Ⅰ级	$x ˉ$ +1.5倍标准差~ $x ˉ$ +2.5倍标准差	18.75~20.24 ℃
	ETM反演温度	Ⅱ级	$x ˉ$ +0.5倍标准差~ $x ˉ$ +1.5倍标准差	16.77~18.75 ℃
	ASTER反演温度		$x ˉ$ +1.5倍标准差~ $x ˉ$ +2倍标准差	7.78~8.6 ℃
	羟基异常		$x ˉ$ +1.25倍标准差~ $x ˉ$ +2倍标准差	1.3~2.08
	土壤湿度		$x ˉ$ +0.75倍标准差~ $x ˉ$ +1.5倍标准差	0.02~0.057 5
	DEM	高程	低于390 m	提取高程低于390 m面文件
	DEM	水系	水系	缓冲250 m
物探	航磁^①		低于0 nT	提取低于0 nT面文件
物探	重力		低于-56 m/s²	提取低于-56 m/s²面文件

Tab.3 List of predictors in Wugongshan uplift

Fig.8 The posterior probability map of evidence power method in Wugongshan uplift

Fig.9 The isoline map of prospecting information quantity in Wugongshan uplift

Tab.4 Wugongshan area predictor information

Fig.10 The characteristic analysis method predicts the thermal probability diagram in Wugongshan uplift

Tab.5 The division standard of geothermal favorable area

Fig.11 Geothermal prediction result map in Wugongshan uplift

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