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Panbo Guan
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China

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Journal article
Published: 19 May 2021 in Sustainability
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Under the Air Pollution Prevention and Control Action Plan (APPCAP) implemented, China has witnessed an air quality change during the past five years, yet the main influence factors remain relatively unexplored. Taking the Beijing-Tianjin-Hebei (BTH) and Yangtze River Delta (YRD) regions as typical cluster cities, the Weather Research Forecasting (WRF) and Comprehensive Air Quality Model with Extension (CAMx) were introduced to demonstrate the meteorological and emission contribution and PM2.5 flux distribution. The results showed that the PM2.5 concentration in BTH and YRD significantly declined with a descend ratio of −39.6% and −28.1%, respectively. For the meteorological contribution, those regions had a similar tendency with unfavorable conditions in 2013–2015 (contribution concentration 1.6–3.8 μg/m3 and 1.1–3.6 μg/m3) and favorable in 2016 (contribution concentration −1.5 μg/m3 and −0.2 μg/m3). Further, the absolute value of the net flux’s intensity was positively correlated with the degree of the favorable/unfavorable weather conditions. When it came to emission intensity, the total net inflow flux increased, and the outflow flux decreased significantly across the border with the emission increasing. In short: the aforementioned results confirmed the effectiveness of the regional joint emission control and provided scientific support for the proposed effective joint control measures.

ACS Style

Panbo Guan; Hanyu Zhang; Zhida Zhang; Haoyuan Chen; Weichao Bai; Shiyin Yao; Yang Li. Assessment of Emission Reduction and Meteorological Change in PM2.5 and Transport Flux in Typical Cities Cluster during 2013–2017. Sustainability 2021, 13, 5685 .

AMA Style

Panbo Guan, Hanyu Zhang, Zhida Zhang, Haoyuan Chen, Weichao Bai, Shiyin Yao, Yang Li. Assessment of Emission Reduction and Meteorological Change in PM2.5 and Transport Flux in Typical Cities Cluster during 2013–2017. Sustainability. 2021; 13 (10):5685.

Chicago/Turabian Style

Panbo Guan; Hanyu Zhang; Zhida Zhang; Haoyuan Chen; Weichao Bai; Shiyin Yao; Yang Li. 2021. "Assessment of Emission Reduction and Meteorological Change in PM2.5 and Transport Flux in Typical Cities Cluster during 2013–2017." Sustainability 13, no. 10: 5685.

Journal article
Published: 12 May 2021 in Atmosphere
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The air quality of Handan, a typical industrial city in China, has been significantly improved through atmospheric pollution control, except for ozone (O3) pollution. We found that, in summer, emissions of anthropogenic volatile organic compounds (VOCs) and NO x decreased yearly in Handan, but the O3 concentration significantly declined yearly during 2013–2015, whereas it experienced worsening O3 pollution after 2015. Therefore, we used the Weather Research and Forecasting Community Multiscale Air Quality (WRF–CMAQ) modeling system to simulate the influence of the meteorological conditions and emission changes in Handan during the typical period (June) of O3 pollution in 2013–2018. For benchmarked June 2013, the results showed that the reduction of the O3 concentration in June of 2014–2016 was mainly caused by emission reduction, while in June of 2017–2018, the combined effect of changes in emissions and meteorological conditions led to aggravated O3 pollution. Sensitivity analysis indicated that combined VOCs and NO x emission controls would effectively reduce incremental O3 formation when the abatement ratio of VOCs/NO x should be no less than 0.84, and we found that VOCs reduction would continusouly bring about O3 decreases under various NO x reductions, but its positive sensitivity to O3 would become smaller with NO x reduction. However, the positive influence of NO x reduction on O3 would happen until NO x reduction exceeding 45–60%. The findings will be helpful in formulating emission control strategies for coping with O3 pollution in an industrial city.

ACS Style

Shiyin Yao; Wei Wei; Shuiyuan Cheng; Yuan Niu; Panbo Guan. Impacts of Meteorology and Emissions on O3 Pollution during 2013–2018 and Corresponding Control Strategy for a Typical Industrial City of China. Atmosphere 2021, 12, 619 .

AMA Style

Shiyin Yao, Wei Wei, Shuiyuan Cheng, Yuan Niu, Panbo Guan. Impacts of Meteorology and Emissions on O3 Pollution during 2013–2018 and Corresponding Control Strategy for a Typical Industrial City of China. Atmosphere. 2021; 12 (5):619.

Chicago/Turabian Style

Shiyin Yao; Wei Wei; Shuiyuan Cheng; Yuan Niu; Panbo Guan. 2021. "Impacts of Meteorology and Emissions on O3 Pollution during 2013–2018 and Corresponding Control Strategy for a Typical Industrial City of China." Atmosphere 12, no. 5: 619.

Journal article
Published: 11 April 2021 in Atmosphere
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In this study, based on the National Centers for Environmental Prediction (NCEP) Final Analysis (FNL) data, the reliability and performances of their application on clean days and polluted days (based on the PM2.5 mass concentrations) in Beijing were assessed. Conventional meteorological factors and diagnostic physical quantities from the NCEP/FNL data were compared with the L-band radar observations in Beijing in the autumns and winters of 2017–2019. The results indicate that the prediction reliability of the temperature was the best compared with those of the relative humidity and wind speed. It is worth noting that the relative humidity was lower and the near-surface wind speed was higher on polluted days from the NCEP/FNL data than from the observations. As far as diagnostic physical quantity is concerned, it was revealed that the temperature inversion intensity depicted by the NCEP/FNL data was significantly lower than that from the observations, especially on polluted days. For example, the difference in the temperature inversion intensity between the NCEP/FNL data and the observation ranged from −0.56 to −0.77 °C on polluted days. In addition, the difference in the wind shears between the NCEP/FNL reanalysis data and the observations increased to 0.40 m/s in the lower boundary layer on polluted days compared with that on clean days. Therefore, it is suggested that the underestimation of the relative humidity and temperature inversion intensity, and the overestimation of the near-surface wind speed should be seriously considered in simulating the air quality in the model, particularly on polluted days, which should be focused on more in future model developments.

ACS Style

Chao Liu; Jianping Guo; Bihui Zhang; Hengde Zhang; Panbo Guan; Ran Xu. A Reliability Assessment of the NCEP/FNL Reanalysis Data in Depicting Key Meteorological Factors on Clean Days and Polluted Days in Beijing. Atmosphere 2021, 12, 481 .

AMA Style

Chao Liu, Jianping Guo, Bihui Zhang, Hengde Zhang, Panbo Guan, Ran Xu. A Reliability Assessment of the NCEP/FNL Reanalysis Data in Depicting Key Meteorological Factors on Clean Days and Polluted Days in Beijing. Atmosphere. 2021; 12 (4):481.

Chicago/Turabian Style

Chao Liu; Jianping Guo; Bihui Zhang; Hengde Zhang; Panbo Guan; Ran Xu. 2021. "A Reliability Assessment of the NCEP/FNL Reanalysis Data in Depicting Key Meteorological Factors on Clean Days and Polluted Days in Beijing." Atmosphere 12, no. 4: 481.