Correlation analysis between nonmetallic mines for building materials and social economy in the Tibet Autonomous Region

doi:10.6046/zrzyyg.2023066

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Abstract

Based on the survey and monitoring results obtained using satellite remote sensing technology, this study investigated the nonmetallic mines for building materials under the jurisdiction of municipal administrative units in the Tibet Autonomous Region. It conducted an exploratory analysis by correlating the land damage, the restoration and control of mine environments, and the damage scales of mining areas in these mines with typical socio-economic factors like gross regional product (GRP), population, zoning area, and population density. The results show that higher GRP or population density is associated with a larger mining scale of nonmetallic mineral resources for building materials. This conclusion provides a research basis for predicting the mining scales of nonmetallic mines for building materials in certain regions in China’s western provinces and achieving harmonious development between the geological environments of such mines and socio-economic construction.

Keywords Tibet Autonomous Region nonmetallic mines for building materials social economy correlation analysis

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TP79

Issue Date: 03 September 2024

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	Hao WANG
	Cai LIU
	Li CHEN
	Jinzhong YANG
	Jing WEN
	Yaqin SUN
	Na AN
	Yingjie ZHOU
	Zhitao SHAO

Cite this article:

Hao WANG,Cai LIU,Li CHEN, et al. Correlation analysis between nonmetallic mines for building materials and social economy in the Tibet Autonomous Region[J]. Remote Sensing for Natural Resources, 2024, 36(3): 233-239.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2023066 OR https://www.gtzyyg.com/EN/Y2024/V36/I3/233

Fig.1 Flow chart of data acquisition

Fig.2 Typical compression damage patterns

Fig.3 Typical restoration and governance change patterns

Fig.4 Schematic diagram of mining geological environment

Fig.5 Schematic diagram of stope scale

Fig.6 Scatter plot of related elements

Tab.1 Pearson correlation coefficient results

Fig.7 Scatter plot of related elements

Tab.2 Pearson correlation coefficient results

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