Atmospheric Pollution Research

Journal Information
ISSN / EISSN : 1309-1042 / 1309-1042
Published by: Elsevier BV (10.1016)
Total articles ≅ 1,566
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Latest articles in this journal

Wanli Xing, Lu Yang, Hao Zhang, Xuan Zhang, Yan Wang, Pengchu Bai, Lulu Zhang, Kazuichi Hayakawa, Seiya Nagao,
Published: 19 October 2021
Atmospheric Pollution Research, Volume 12; https://doi.org/10.1016/j.apr.2021.101233

The publisher has not yet granted permission to display this abstract.
Published: 19 October 2021
Atmospheric Pollution Research; https://doi.org/10.1016/j.apr.2021.101234

Abstract:
Humans inhale a mixture of various air pollutants, and there is ambiguity whether these pollutants act independently or in an additive, synergistic, or antagonistic manner. We aimed to examine differences in adverse health effects of short-term exposure to air pollution through single-versus multi-pollutant models. We collected daily ambient air pollutants (O3, NO2 and PM2.5) concentrations from 24 Canadian urban centers from 2001 to 2012. We examined between-pollutant correlations and estimated their associations with respiratory hospitalization and mortality. We applied a generalized quasi-Poisson model to each city adjusting for one and/or two pollutants. Then we employed a Bayesian hierarchical model to pool the city-specific estimates for national estimates. We also examined 0- to 6-day air pollutant lagged effects by season. Overall, we found more frequently significant effects from single-pollutant models (vs. multi-pollutant models), for hospitalization (vs. mortality), for O3 (vs. NO2, PM2.5), for warm (vs. cold) season, and for lags ≤2 days (vs. 3–6 days). The most consistent effects appeared on respiratory hospitalization for 1-day lagged O3 and PM2.5, but not NO2. This study found little additive or antagonistic risk of respiratory health outcomes from multi-pollutant models due to low-to-medium correlations among the specified air pollutants.
Julia V. Soares, Chitra Chopra, , Aaron G. Cahill, Roger D. Beckie, T. Andrew Black, Bethany Ladd,
Published: 16 October 2021
Atmospheric Pollution Research; https://doi.org/10.1016/j.apr.2021.101223

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Congwu Huang, Tijian Wang, , Juncai Han, Mengmeng Li, Nannan Zhang, Hongli Liu, Chaoqun Ma
Published: 15 October 2021
Atmospheric Pollution Research; https://doi.org/10.1016/j.apr.2021.101224

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Dongqing Li, , Hui Wang, Han Xiao, Qi Xu, Lizhi Wang, Jinming Feng, Xiaochun Yang, Huaqiong Cheng, Lanning Wang, et al.
Published: 14 October 2021
Atmospheric Pollution Research; https://doi.org/10.1016/j.apr.2021.101232

Abstract:
The Spring Festival is the most important holiday in China, and human activity and population mobility may contribute greatly to air quality. According to the satellite-based tropospheric nitrogen dioxide (NO2) column and ground-based observational concentration of NO2 in megacities from 2013 to 2018 around the Spring Festival, we found that NO2 concentration obviously decreases, presenting a “tide phenomenon”, particularly in the megacities, with the tropospheric NO2 column density decreasing by 31.8%–44.5%. The tropospheric NO2 column density in Beijing decreased by 41.6% and rebounded by 22.3% after the festival. Vehicle sources were among the important causes of NOx emissions in the megacities, and traffic intensity decreased significantly during the festival. As the coronavirus disease 2019 (COVID-19) pandemic progresses, the traffic intensity in urban areas is decreasing significantly, with the tropospheric NO2 column density decreasing by 56.2% and rebounding by only 6.8% in 2020, without the “tide phenomenon”.
Yawei Dong, Chengyuan Zhang, Mingfei Niu, Shouyang Wang,
Published: 13 October 2021
Atmospheric Pollution Research; https://doi.org/10.1016/j.apr.2021.101230

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, Azharuddin Hashmi, Anoop K. Tiwari, , Brijesh Desai, Andrius Urba,
Published: 13 October 2021
Atmospheric Pollution Research, Volume 12; https://doi.org/10.1016/j.apr.2021.101226

The publisher has not yet granted permission to display this abstract.
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