Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data Sources
2.3. Methods
2.3.1. Spatial Autocorrelation and Linear Regression
2.3.2. Partial Correlation and Multiple Linear Regression
2.3.3. Geographically Weighted Regression
3. Results
3.1. Overview of PM2.5 Pollution
3.1.1. Spatiotemporal Variation of PM2.5
3.1.2. Distribution of PM2.5/PM10 Ratios
3.2. Relationships between Temporal PM2.5 Variation and Meteorological Variables
3.3. Effects of Meteorological Factors on the Spatial Heterogeneity of PM2.5
4. Discussion
4.1. Spatiotemporal Variations in PM2.5
4.2. Relationship between PM2.5 Concentration and Meteorological Factors
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variable | Correlation Coefficient | |||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BJ | TJ | TS | LF | BD | SJZ | CZ | HS | XT | HD | BZ | DZ | ZB | JN | LC | JNG | HZ | AY | HB | PY | XX | JZ | ZZ | KF | TY | YQ | CHZ | JC | |
SH | −0.15 | −0.20 | −0.20 | −0.16 | −0.28 | −0.25 | −0.10 | −0.18 | −0.25 | −0.13 | −0.31 | −0.17 | −0.29 | −0.13 | −0.08 | −0.11 | −0.13 | −0.18 | −0.14 | 0.01 | −0.12 | −0.06 | −0.10 | −0.08 | −0.21 | −0.21 | −0.07 | −0.05 |
Tmax | 0.02 | 0.21 | 0.18 | 0.12 | 0.09 | 0.16 | 0.04 | 0.14 | 0.20 | 0.07 | 0.28 | 0.13 | 0.23 | 0.02 | 0.06 | 0.13 | 0.11 | 0.10 | −0.03 | −0.05 | 0.03 | 0.01 | 0.00 | 0.08 | 0.18 | 0.16 | 0.06 | 0.14 |
Tmin | −0.24 | −0.38 | −0.33 | −0.31 | −0.37 | −0.39 | −0.22 | −0.34 | −0.32 | −0.31 | −0.39 | −0.28 | −0.38 | −0.12 | −0.30 | −0.29 | −0.28 | −0.29 | −0.21 | −0.27 | −0.22 | −0.23 | −0.25 | −0.25 | −0.37 | −0.33 | −0.19 | −0.36 |
AP | −0.24 | −0.20 | −0.18 | −0.20 | −0.23 | −0.26 | −0.17 | −0.17 | −0.12 | −0.22 | −0.15 | −0.14 | −0.13 | −0.08 | −0.15 | −0.12 | −0.10 | −0.19 | −0.17 | −0.16 | −0.17 | −0.22 | −0.17 | −0.12 | −0.19 | −0.17 | −0.13 | −0.13 |
H | 0.28 | 0.28 | 0.28 | 0.28 | 0.18 | 0.20 | 0.22 | 0.27 | 0.17 | 0.26 | 0.09 | 0.20 | 0.20 | 0.09 | 0.29 | 0.19 | 0.18 | 0.12 | 0.21 | 0.26 | 0.18 | 0.21 | 0.13 | 0.16 | 0.26 | 0.20 | 0.09 | 0.20 |
WS | −0.09 | −0.28 | −0.12 | −0.12 | −0.19 | −0.26 | −0.11 | −0.15 | −0.25 | −0.16 | −0.26 | −0.14 | −0.12 | −0.20 | −0.18 | −0.12 | −0.26 | −0.17 | −0.11 | −0.20 | −0.16 | −0.13 | −0.23 | −0.22 | −0.13 | −0.03 | −0.24 | −0.19 |
WD | 0.05 | 0.05 | −0.04 | 0.08 | −0.03 | −0.04 | 0.11 | 0.04 | 0.01 | −0.07 | 0.09 | 0.11 | 0.02 | 0.08 | −0.05 | 0.05 | −0.05 | −0.01 | −0.01 | −0.05 | −0.06 | −0.06 | −0.03 | −0.05 | 0.02 | −0.15 | −0.12 | −0.10 |
Period | Coefficient of Determination | |||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BJ | TJ | TS | LF | BD | SJZ | CZ | HS | XT | HD | BZ | DZ | ZB | JN | LC | JNI | HZ | AY | HB | PY | XX | JZ | ZZ | KF | TY | YQ | CHZ | JC | |
Spring | 0.30 | 0.31 | 0.26 | 0.27 | 0.28 | 0.39 | 0.16 | 0.27 | 0.30 | 0.24 | 0.24 | 0.13 | 0.21 | 0.14 | 0.19 | 0.09 | 0.21 | 0.17 | 0.17 | 0.23 | 0.19 | 0.26 | 0.19 | 0.12 | 0.28 | 0.25 | 0.16 | 0.16 |
Summer | 0.29 | 0.16 | 0.04 | 0.09 | 0.15 | 0.31 | 0.06 | 0.11 | 0.19 | 0.04 | 0.23 | 0.07 | 0.19 | 0.10 | 0.19 | 0.08 | 0.19 | 0.08 | 0.12 | 0.07 | 0.06 | 0.05 | 0.06 | 0.07 | 0.19 | 0.16 | 0.07 | 0.06 |
Autumn | 0.36 | 0.43 | 0.39 | 0.30 | 0.34 | 0.41 | 0.20 | 0.31 | 0.34 | 0.20 | 0.22 | 0.24 | 0.22 | 0.13 | 0.26 | 0.16 | 0.18 | 0.21 | 0.24 | 0.18 | 0.19 | 0.19 | 0.19 | 0.14 | 0.33 | 0.21 | 0.16 | 0.23 |
Winter | 0.52 | 0.53 | 0.56 | 0.57 | 0.45 | 0.54 | 0.47 | 0.41 | 0.40 | 0.45 | 0.47 | 0.44 | 0.47 | 0.44 | 0.42 | 0.35 | 0.39 | 0.37 | 0.38 | 0.36 | 0.33 | 0.39 | 0.39 | 0.36 | 0.45 | 0.51 | 0.30 | 0.39 |
Year | 0.30 | 0.38 | 0.31 | 0.35 | 0.40 | 0.44 | 0.26 | 0.36 | 0.35 | 0.34 | 0.30 | 0.28 | 0.31 | 0.21 | 0.35 | 0.29 | 0.35 | 0.31 | 0.32 | 0.35 | 0.29 | 0.33 | 0.33 | 0.31 | 0.32 | 0.28 | 0.24 | 0.31 |
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Wang, S.; Gao, J.; Guo, L.; Nie, X.; Xiao, X. Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China. Int. J. Environ. Res. Public Health 2022, 19, 1607. https://doi.org/10.3390/ijerph19031607
Wang S, Gao J, Guo L, Nie X, Xiao X. Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China. International Journal of Environmental Research and Public Health. 2022; 19(3):1607. https://doi.org/10.3390/ijerph19031607
Chicago/Turabian StyleWang, Suxian, Jiangbo Gao, Linghui Guo, Xiaojun Nie, and Xiangming Xiao. 2022. "Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China" International Journal of Environmental Research and Public Health 19, no. 3: 1607. https://doi.org/10.3390/ijerph19031607