Spatio-Temporal Characteristics of PM 2.5 Concentrations in China Based on Multiple Sources of Data and LUR-GBM during 2016–2021
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- Tianhao Zhang & Wei Gong & Wei Wang & Yuxi Ji & Zhongmin Zhu & Yusi Huang, 2016. "Ground Level PM 2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO 2 and Enhanced Vegetation Index (EVI)," IJERPH, MDPI, vol. 13(12), pages 1-12, December.
- Lijian Han & Weiqi Zhou & Weifeng Li, 2018. "Growing Urbanization and the Impact on Fine Particulate Matter (PM 2.5 ) Dynamics," Sustainability, MDPI, vol. 10(6), pages 1-9, May.
- Fei Han & Junming Li, 2022. "Spatial Pattern and Spillover of Abatement Effect of Chinese Environmental Protection Tax Law on PM 2.5 Pollution," IJERPH, MDPI, vol. 19(3), pages 1-16, January.
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- Hong Song & Yuhang Dong & Jiayu Yang & Xin Zhang & Xingxin Nie & Yuesheng Fan, 2023. "Concentration Characteristics and Correlations with Other Pollutants of Atmospheric Particulate Matter as Affected by Relevant Policies," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
- Saleem S. AlSaleem & Abdulbasit Almhafdy & Umberto Berardi & Amal A. Al-Shargabi & Ahmed AbdelMonteleb M. Ali, 2023. "Field Measurements and Human Perception to Remediate Noise Pollution in the Urban Public Parks in Saudi Arabia," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
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Keywords
PM 2.5 ; remote sensing retrieval; land-use regression; LightGBM; spatial and temporal characteristics;All these keywords.
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