Temporally resolved sectoral and regional contributions to air pollution in Beijing: informing short-term emission controls
-
Published:2021-03-23
Issue:6
Volume:21
Page:4471-4485
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Ansari Tabish UmarORCID, Wild OliverORCID, Ryan Edmund, Chen YingORCID, Li Jie, Wang Zifa
Abstract
Abstract. We investigate the contributions of local and regional emission sources to air pollution in Beijing to inform the design of short-term emission control strategies for mitigating major pollution episodes. We use a well-evaluated version of the WRF-Chem model at 3 km horizontal resolution to determine the daily accumulation of pollution over Beijing from local and regional sources in October 2014 under a range of meteorological conditions. Considering feasible emission reductions across residential, transport, power, and industrial sectors, we find that 1 d controls on local emissions have an immediate effect on PM2.5 (particulate matter with diameter less than 2.5 µm) concentrations on the same day but can have lingering effects as much as 5 d later under stagnant conditions. One-day controls in surrounding provinces have the greatest effect in Beijing on the day following the controls but may have negligible effects under northwesterly winds when local emissions dominate. To explore the contribution of different emission sectors and regions, we perform simulations with each source removed in turn. We find that residential and industrial sectors from neighbouring provinces dominate PM2.5 levels in Beijing during major pollution episodes but that local residential emissions and industrial or residential emissions from more distant provinces can also contribute significantly during some episodes. We then perform a structured set of perturbed emission simulations to allow us to build statistical emulators that represent the relationships between emission sources and air pollution in Beijing over the period. We use these computationally fast emulators to determine the sensitivity of PM2.5 concentrations to different emission sources and the interactions between them, including for secondary PM, and to create pollutant response surfaces for daily average PM2.5 concentrations in Beijing. We use these surfaces to identify the short-term emission controls needed to meet the national air quality target of daily average PM2.5 less than 75 µg m−3 for pollution episodes of different intensities. We find that for heavily polluted days with daily mean PM2.5 higher than 225 µg m−3, even emission reductions of 90 % across all sectors over Beijing and surrounding provinces may be insufficient to meet the national air quality standards. These results highlight the regional nature of PM pollution and the challenges of tackling it during major pollution episodes.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference53 articles.
1. Ansari, T.: WRF-Chem model output for APEC study, Lancaster University, https://doi.org/10.17635/lancaster/researchdata/300 (last access: 16 March 2021), 2019. 2. Ansari, T. and Wild, O.: WRF-Chem model output for APEC temporal and sectoral emission controls, Lancaster University, https://doi.org/10.17635/lancaster/researchdata/423 (last access: 16 March 2021), 2021. 3. Ansari, T. U., Wild, O., Li, J., Yang, T., Xu, W., Sun, Y., and Wang, Z.: Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period, Atmos. Chem. Phys., 19, 8651–8668, https://doi.org/10.5194/acp-19-8651-2019, 2019. a, b, c, d, e, f, g, h 4. Burr, M. J. and Zhang, Y.: Source apportionment of fine particulate matter
over the Eastern U.S. Part II: Source apportionment simulations using
CAMx/PSAT and comparisons with CMAQ source sensitivity simulations,
Atmos. Pollut. Res., 2, 318–336, https://doi.org/10.5094/APR.2011.037,
2011. a 5. Chen, Y., Wild, O., Ryan, E., Sahu, S. K., Lowe, D., Archer-Nicholls, S., Wang, Y., McFiggans, G., Ansari, T., Singh, V., Sokhi, R. S., Archibald, A., and Beig, G.: Mitigation of PM2.5 and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period, Atmos. Chem. Phys., 20, 499–514, https://doi.org/10.5194/acp-20-499-2020, 2020. a
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|