2019
DOI: 10.1016/j.atmosenv.2019.117054
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Numerical assessment of PM2.5 and O3 air quality in continental Southeast Asia: Baseline simulation and aerosol direct effects investigation

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Cited by 26 publications
(24 citation statements)
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“…As summarized by Wu et al (2019a) in their Table 1, observations and model simulations with WRF-Chem, WRF-CMAQ, WRF-CMAQ, GRAPES-CUACE, and WRF-NAQPMS all pointed out that the ARI effects promoted higher PM2.5 concentrations in China (Chen et al, 2019a;Gao M. et al, 2016b;Wang H. et al, 2015;Wang Z.F. et al, 2014;Zhang B. et al, 2015;Zhang et al, 2018) and this was also true in other areas of Asia (e.g., India, EA, Continental SEA) (Gao M. et al, 2018b;Nguyen et al, 2019aNguyen et al, , 2019b during different seasons. At the same time, all the modeling investigations revealed that the positive aerosol-meteorology feedbacks could further exacerbate pollution problems during heavy haze episodes.…”
Section: Feedbacks Of Anthropogenic Aerosolsmentioning
confidence: 92%
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“…As summarized by Wu et al (2019a) in their Table 1, observations and model simulations with WRF-Chem, WRF-CMAQ, WRF-CMAQ, GRAPES-CUACE, and WRF-NAQPMS all pointed out that the ARI effects promoted higher PM2.5 concentrations in China (Chen et al, 2019a;Gao M. et al, 2016b;Wang H. et al, 2015;Wang Z.F. et al, 2014;Zhang B. et al, 2015;Zhang et al, 2018) and this was also true in other areas of Asia (e.g., India, EA, Continental SEA) (Gao M. et al, 2018b;Nguyen et al, 2019aNguyen et al, , 2019b during different seasons. At the same time, all the modeling investigations revealed that the positive aerosol-meteorology feedbacks could further exacerbate pollution problems during heavy haze episodes.…”
Section: Feedbacks Of Anthropogenic Aerosolsmentioning
confidence: 92%
“…Some studies did show negative impacts of aerosol effects on hourly, daily, and seasonal PM2.5 at some areas that could be attributed to ACI effects, changes in transport and dispersion patterns, reductions in humidity levels and secondary aerosol formations (Zhang B. et al, 2015;Zhan et al, 2017;Yang et al, 2017;Wang K. et al, 2018). Similar to the perturbations of surface meteorological variables EA due to lower PBLH induced by the ARI effects of anthropogenic aerosols (Jung et al,2019;1078Nguyen et al, 2019b. The seasonal SO2 reduction (increase) was rather large (small), which related 1079 to higher (lower) PBLH induced by the ACI (ARI) effects of dust (anthropogenic) aerosols in the 1080 NCP area (whole domain) of EA Nguyen et al, 2019b).…”
Section: Temperature Wind Speed Humidity and Pblhmentioning
confidence: 97%
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