Modeling of Turbulence in Stable Layers and Forecasting of Pollution Episodes

Author(s):  
Jean-Michel Fage ◽  
Jean-François Soulier
Keyword(s):  
2021 ◽  
Vol 249 ◽  
pp. 118249
Author(s):  
Mathilde Pascal ◽  
Vérène Wagner ◽  
Anna Alari ◽  
Magali Corso ◽  
Alain Le Tertre

2020 ◽  
Vol 20 (8) ◽  
pp. 5019-5033 ◽  
Author(s):  
Yuning Xie ◽  
Gehui Wang ◽  
Xinpei Wang ◽  
Jianmin Chen ◽  
Yubao Chen ◽  
...  

Abstract. The Chinese government has exerted strict emission controls to mitigate air pollution since 2013, which has resulted in significant decreases in the concentrations of air pollutants such as SO2. Strict pollution control actions also reduced the average PM2.5 concentration to the low level of 39.7 µg m−3 in urban Beijing during the winter of 2017. To investigate the impact of such changes on the physiochemical properties of atmospheric aerosols in China, we conducted a comprehensive observation focusing on PM2.5 in Beijing during the winter of 2017. Compared with the historical record (2014–2017), SO2 decreased to the low level of 3.2 ppbv in the winter of 2017, but the NO2 level was still high (21.4 ppbv in the winter of 2017). Accordingly, the contribution of nitrate (23.0 µg m−3) to PM2.5 far exceeded that of sulfate (13.1 µg m−3) during the pollution episodes, resulting in a significant increase in the nitrate-to-sulfate molar ratio. The thermodynamic model (ISORROPIA II) calculation results showed that during the PM2.5 pollution episodes particle pH increased from 4.4 (moderate acidic) to 5.4 (more neutralized) when the molar ratio of nitrate to sulfate increased from 1 to 5, indicating that aerosols were more neutralized as the nitrate content elevated. Controlled variable tests showed that the pH elevation should be attributed to nitrate fraction increase other than crustal ion and ammonia concentration increases. Based on the results of sensitivity tests, future prediction for the particle acidity change was discussed. We found that nitrate-rich particles in Beijing at low and moderate humid conditions (RH: 20 %–50 %) can absorb twice the amount of water that sulfate-rich particles can, and the nitrate and ammonia with higher levels have synergetic effects, rapidly elevating particle pH to merely neutral (above 5.6). As moderate haze events might occur more frequently under abundant ammonia and nitrate-dominated PM2.5 conditions, the major chemical processes during haze events and the control target should be re-evaluated to obtain the most effective control strategy.


2021 ◽  
Vol 293 ◽  
pp. 112827
Author(s):  
Ishaq Dimeji Sulaymon ◽  
Yuanxun Zhang ◽  
Jianlin Hu ◽  
Philip K. Hopke ◽  
Yang Zhang ◽  
...  

2018 ◽  
Vol 69 ◽  
pp. 141-154 ◽  
Author(s):  
Nianliang Cheng ◽  
Yunting Li ◽  
Bingfen Cheng ◽  
Xin Wang ◽  
Fan Meng ◽  
...  

2006 ◽  
Vol 49 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Che-Ming CHANG ◽  
Long-Nan CHANG ◽  
Hui-Chuan HSIAO ◽  
Fang-Chuan LU ◽  
Ping-Fei SHIEH ◽  
...  

2021 ◽  
Author(s):  
Lily Gouldsbrough ◽  
Ryan Hossaini ◽  
Emma Eastoe ◽  
Paul J. Young

<p>Warm summer temperatures provide ideal conditions for the occurrence of extreme ground level ozone pollution episodes. Given the well-established negative impacts of ozone on human and plant health, understanding and attributing these extreme events is of importance to the scientific and wider community, particularly as heatwaves may become more frequent due to climate change. Extreme Value Analysis provides a powerful and flexible framework in which to statistically model unusually large observed values of ozone extracted from historical data. Here, a temperature dependent Peaks-Over-Threshold method based upon the Generalised Pareto Distribution is used to carry out a regional comparison of extreme ozone pollution episodes within the UK. Our analysis uses surface ozone observations from the UK’s extensive Automatic Urban and Rural Network. The statistical model was used to quantify the frequency and magnitude of extreme ozone events, including a probabilistic assessment of exceeding UK public health thresholds, conditional on temperature. Return levels are provided for each monitoring site demonstrating the expected future projections of extreme ozone pollution events across the UK. We find that across UK rural background sites, return periods for a daily maximum 8-hr ozone level of 100 ug/m3 (a 'moderate' level of air pollution in the UK's Air Quality Index) range from 32-147 days, based on analysis of the data in the decade 2010-2019. Similarly, for urban background sites the range is 36-869 days. An analysis of the spatio temporal variability in UK ozone extremes, along with their temperature dependence, will be presented.</p>


2016 ◽  
Vol 16 (7) ◽  
pp. 1625-1637 ◽  
Author(s):  
Mengfei Zhao ◽  
Guangli Xiu ◽  
Ting Qiao ◽  
Yulan Li ◽  
Jianzhen Yu

Sign in / Sign up

Export Citation Format

Share Document