1. A multi-scale analysis of the relationship between land surface temperature and PM2.5 in different land use types.
- Author
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Li, Zhe, Wu, Wei, Chen, Shaofeng, Zhang, Yali, Tian, Shiqi, Li, Linjuan, and Zhao, Xianggang
- Subjects
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LAND surface temperature , *PARTICULATE matter , *LAND use , *NORMALIZED difference vegetation index , *ENVIRONMENTAL protection , *PEARSON correlation (Statistics) , *POLLUTION , *MULTISCALE modeling - Abstract
The high land surface temperature (LST) and fine particulate matter (PM 2.5) pose significant threats to urban ecological environment. LST and PM 2.5 are closely related, and land use/cover change (LUCC) has a significant influence on them. However, there is a lack of multi-scale analysis of their relationship under the background of LUCC. Therefore, this study designed a multi-scale analysis framework, adopted the Pearson correlation analysis, bivariate Moran's I and coupling coordination degree (D) to examine the relationship between LST and PM 2.5 in different land use types based on remote sensing data, and analyzed the influencing factors by Geodetector. The results showed that LST and PM 2.5 have a positive correlation, and their correlation would decrease with the research scale expansion, with the absolute values of Moran's I ranging from 0.229 to 0.577, 0.415–0.754 and 0.551–0.852 at national, urban agglomeration and city scales, respectively. LST, PM 2.5 and their correlation were lower in forest and water at the three scales, while they were the highest in construction land, and the difference in D values was about 0.3. Furthermore, the normalized difference vegetation index (NDVI) and construction land area played the most important role in spatial patterns of this relationship, followed by population and GDP. At last, the cost analysis of environmental pollution reduction was performed, and this study could provide support for proper public health policy-making and environmental protection in different regions. • The relationship between LST and PM 2.5 in different land use types at multi-scale was discussed. • There is a positive correlation between LST and PM 2.5 , and the interaction would decrease with the research scale expansion. • The interaction between LST and PM 2.5 was the highest in construction land, and the lowest in forest. • The influence degree of NDVI and night-time lights was higher than that of GDP and population. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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