Author
Listed:
- Dan Wang
(School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)
- Wei Shan
(Institute of Engineering Consulting and Design, Northeast Forestry University, Harbin 150040, China)
- Song Hong
(School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)
- Qian Wu
(School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)
- Shuai Shi
(Real Estate & Construction, Faculty of Architecture, The University of Hong Kong, Hong Kong, China)
- Bin Chen
(Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong, China)
Abstract
Nighttime light (NTL), a crucial indicator of human activity intensity, has not been systematically analyzed for its interactive mechanisms with air pollution and climate change. This study first investigates the spatiotemporal evolution of China’s total nighttime light (TNTL) and average nighttime light (ANTL), alongside key indicators of meteorological parameters and air pollution, at the grid scale from 2000 to 2023. We then employ prefecture-level city data and a geographically and temporally weighted regression (GTWR) model to quantify the spatiotemporally heterogeneous associations of temperature (TMP), precipitation (PRE), fine particulate matter (PM 2.5 ), ozone (O 3 ), land use (LUL), topography, and socioeconomic factors with NTL. The results indicate that (1) China’s NTL exhibits a significant overall upward trend, with areas of increase or significant increase comprising 92.04% of the total study area. TNTL growth demonstrates regional heterogeneity, expanding by a factor of 4.91 in East China and 2.65 in Northeast China; (2) meteorological and air pollution indicators display spatiotemporal non-stationarity, with the synergistic effect between O 3 and PRE being the strongest; (3) among NTL drivers, LUL contributes most significantly (0.44), followed by TMP (0.14) > PM 2.5 (−0.33 × 10 −1 ) > O 3 (0.17 × 10 −1 ) > PRE (−0.33 × 10 −6 ); (4) TMP and PRE may primarily influence NTL by altering ecological conditions and nighttime activity patterns. TMP shows a strong positive correlation with NTL in the junction zone of South, East, and Central China, whereas PRE predominantly exerts a negative influence; (5) air pollution exhibits distinct spatiotemporal effects: high PM 2.5 and O 3 generally correspond to lower NTL, though positive correlations persist in some areas due to industrial structures, highlighting the need for integrated policies that balance air quality management with sustainable urban planning; (6) the 2013 “Air Pollution Prevention and Control Action Plan” significantly strengthened the negative correlation between PM 2.5 and NTL in North China. However, O 3 concentrations increased by 28.9% after 2017, underscoring the challenge of coordinating VOC and NOx controls for long-term atmospheric sustainability.
Suggested Citation
Dan Wang & Wei Shan & Song Hong & Qian Wu & Shuai Shi & Bin Chen, 2026.
"The Impact of Meteorological Parameters and Air Pollution on the Spatiotemporal Distribution of Nighttime Light in China,"
Sustainability, MDPI, vol. 18(7), pages 1-25, March.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:7:p:3256-:d:1907283
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