Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls
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Published:2020-12-02
Issue:23
Volume:20
Page:14787-14800
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Wang Liqiang, Yu ShaocaiORCID, Li Pengfei, Chen Xue, Li Zhen, Zhang Yibo, Li Mengying, Mehmood Khalid, Liu Weiping, Chai TianfengORCID, Zhu YannianORCID, Rosenfeld Daniel, Seinfeld John H.ORCID
Abstract
Abstract. Ambient fine particulate matter (PM2.5) mitigation relies strongly on
anthropogenic emission control measures, the actual effectiveness of which
is challenging to pinpoint owing to the complex synergies between
anthropogenic emissions and meteorology. Here, observational constraints on
model simulations allow us to derive not only reliable PM2.5 evolution
but also accurate meteorological fields. On this basis, we isolate
meteorological factors to achieve reliable estimates of surface PM2.5
responses to both long-term and emergency emission control measures from
2016 to 2019 over the Yangtze River Delta (YRD), China. The results show
that long-term emission control strategies play a crucial role in curbing
PM2.5 levels, especially in the megacities and other areas with
abundant anthropogenic emissions. The G20 summit hosted in Hangzhou in 2016
provides a unique and ideal opportunity involving the most stringent, even
unsustainable, emergency emission control measures. These emergency measures
lead to the largest decrease (∼ 35 µg m−3,
∼ 59 %) in PM2.5 concentrations in Hangzhou. The
hotspots also emerge in megacities, especially in Shanghai (32 µg m−3, 51 %), Nanjing (27 µg m−3, 55 %), and Hefei (24 µg m−3, 44 %) because of the emergency measures. Compared to the
long-term policies from 2016 to 2019, the emergency emission control
measures implemented during the G20 Summit achieve more significant
decreases in PM2.5 concentrations (17 µg m−3 and 41 %) over
most of the whole domain, especially in Hangzhou (24 µg m−3,
48 %) and Shanghai (21 µg m−3, 45 %). By extrapolation, we
derive insight into the magnitude and spatial distribution of PM2.5
mitigation potential across the YRD, revealing significantly additional room
for curbing PM2.5 levels.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference65 articles.
1. Adhikary, B., Kulkarni, S., Dallura, A., Tang, Y., Chai, T., Leung, L. R.,
Qian, Y., Chung, C. E., Ramanathan, V., and Carmichael, G. R.: A regional
scale chemical transport modeling of Asian aerosols with data assimilation
of AOD observations using optimal interpolation technique, Atmos. Environ.,
42, 8600–8615, 2008. 2. An, Z., Huang, R.-J., Zhang, R., Tie, X., Li, G., Cao, J., Zhou, W., Shi, Z., Han, Y., Gu, Z., and Ji, Y.: Severe haze in Northern China: A synergy of
anthropogenic emissions and atmospheric processes, P. Natl. Acad. Sci. USA,
116, 8657–8666, 2019. 3. Binkowski, F. S. and Roselle, S. J.: Models-3 Community Multiscale Air
Quality (CMAQ) model aerosol component 1. Model description, J. Geophys.
Res.-Atmos., 108, 335–346, 2003. 4. Bocquet, M., Elbern, H., Eskes, H., Hirtl, M., Žabkar, R., Carmichael, G. R., Flemming, J., Inness, A., Pagowski, M., Pérez Camaño, J. L., Saide, P. E., San Jose, R., Sofiev, M., Vira, J., Baklanov, A., Carnevale, C., Grell, G., and Seigneur, C.: Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models, Atmos. Chem. Phys., 15, 5325–5358, https://doi.org/10.5194/acp-15-5325-2015, 2015. 5. Byun, D. and Schere, K. L.: Review of the governing equations, computational
algorithms, and other components of the Models-3 Community Multiscale Air
Quality (CMAQ) modeling system, Appl. Mech. Rev., 59, 51–77, 2006.
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