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Estimation of Short-Term and Long-Term Ozone Exposure Levels in Beijing–Tianjin–Hebei Region Based on Geographically Weighted Regression Model.

Authors :
Qiao, Zequn
Liu, Yusi
Cui, Chen
Shan, Mei
Tu, Yan
Liu, Yaxin
Xu, Shiwen
Mi, Ke
Chen, Li
Ma, Zhenxing
Zhang, Hui
Gao, Shuang
Sun, Yanling
Source :
Atmosphere; Oct2022, Vol. 13 Issue 10, pN.PAG-N.PAG, 16p
Publication Year :
2022

Abstract

In recent years, ozone (O<subscript>3</subscript>) concentration has shown a decreasing trend in the Beijing–Tianjin–Hebei (BTH) region in China. However, O<subscript>3</subscript> pollution remains a prominent problem. Accurate estimation of O<subscript>3</subscript> exposure levels can provide support for epidemiological studies. A total of 13 variables were combined to estimate short- and long-term O<subscript>3</subscript> exposure levels using the geographically weighted regression (GWR) model in the BTH region with a spatial resolution of 1 × 1 km from 2017 to 2020. Five variables were left in the GWR model. O<subscript>3</subscript> concentration was positively correlated with temperature, wind speed, and SO<subscript>2</subscript>, whereas is was negatively correlated with precipitation and NO<subscript>2</subscript>. Results showed that the model performed well. Leave-one-out cross-validation (LOOCV) R<superscript>2</superscript> for short- and long-term simulation results were 0.91 and 0.71, and the values for RMSE were 11.14 and 3.49 μg/m<superscript>3</superscript>, respectively. The annual maximum 8 h average O<subscript>3</subscript> concentration was the highest in 2018 and the lowest in 2020. Decreasing concentrations of major precursors of O<subscript>3</subscript> due to the regional joint prevention and control may be the reason. O<subscript>3</subscript> concentration was high in the southeast of the BTH region, including in Hengshui, Handan, Xingtai and Cangzhou. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
13
Issue :
10
Database :
Complementary Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
159868487
Full Text :
https://doi.org/10.3390/atmos13101706