Modeling study of the 2010 regional haze event in the North China Plain

Gao, Meng; Carmichael, G. R.; Wang, Y.; Saide, Pablo E.; Yu, Man; Xin, Jinyuan; Liu, Z.; Wang, Z.

doi:10.5194/acpd-15-22781-2015

Cited by 49 publications

(77 citation statements)

References 65 publications

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“…Meanwhile, the observed RH2 are also high at the four sites, with observation mean (C OBS ) � 70.51 to 90.16%. e high RH2 may be conducive to secondary growth of air pollutants [23][24][25]. e observed T2 at the four sites are also reasonably reproduced by the model (rootmean-square error (RMSE) � 2.02 to 4.44 and normalized mean error (NME) � 0.01 to 0.03).…”

Section: Surface Pressure Simulationsmentioning

confidence: 55%

“…In addition, the magnitudes and trends over time of the simulated PM 2.5 , NO 2 , and SO 2 are basically consistent with measurements ( Figure 4). From meteorological variables, and undiscovered processes of atmospheric chemistry [24]. Overall, however, the simulated results generally captured the heavy air pollution event that provides some reliability for the later sensitive experiments.…”

Section: Surface Pressure Simulationsmentioning

confidence: 79%

“…Meteorological conditions are also important in modulating the distribution of atmospheric pollutants in the BTH [18][19][20][21][22]. Many studies have concluded that high relative humidity is conducive to secondary growth of pollutants, worsening air quality [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…Further, aerosols can alter the local spatial temperature distribution through a direct effect [30][31][32], thus modifying local atmospheric circulations. is in turn changes the distribution of aerosols, complicating the development of a pollution event [24,26,[33][34][35][36]. From the perspective of dynamic mechanisms, Wu et al [37] showed that strong and persistent sinking motion in the midlower troposphere over the BTH region can reduce the PBL height and generate a temperature inversion, allowing air pollutants to accumulate in the lower PBL.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to local emissions, the contribution of regional transport mainly depends on wind direction [19]. Taking Beijing as an example, southerly winds are more likely associated with severe air pollution than other wind directions because a portion of the pollutants and warm humid air can be carried from upwind areas to the city [18,20,23,24,[27][28][29][37][38][39]. With prevailing northerly winds, pollutants are exported from Beijing to its south [19,38,39].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Investigation of the Air Pollution Event in Beijing-Tianjin-Hebei Region in December 2016 Using WRF-Chem

Wang

Jiang

et al. 2018

Advances in Meteorology

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e online coupled weather research and forecasting model with chemistry (WRF-Chem) was used to investigate an air pollution event during December 2016 in Beijing-Tianjin-Hebei urban agglomeration. Evaluation indicates that WRF-Chem captured the main weather conditions and pollutant distribution in this event. e primary meteorological drivers of air pollution formation were stationary atmospheric flows in both vertical and horizontal directions. High relative humidity and a strong temperature inversion accelerated event formation. In the shallow temperature inversion layer, aerosol particles were strongly confined near the surface, producing high surface contaminant concentrations. In addition, based on a normal experiment, three sensitivity experiments were constructed by adding hypothetical terrain (HT) of 400, 300, and 200 meters, over the region 115°E, 38.8°N to 117.54°E, 38.8°N. e results indicate that pollutants were diffused and transported below 400 meters, and the pollutant amounts concentrated south of the HT because of the HT blocking effect. Nevertheless, because there were less total contaminants north of the HT in the normal run, there was a slight decrease in pollutants north of the HT. ere were some increases in pollution north of the HT because of local emissions, which were obstructed by the HT. e higher the HT, the stronger the blocking effect.

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Section: Surface Pressure Simulationsmentioning

confidence: 55%

Section: Surface Pressure Simulationsmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigation of the Air Pollution Event in Beijing-Tianjin-Hebei Region in December 2016 Using WRF-Chem

Wang

Jiang

et al. 2018

Advances in Meteorology

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Simulated impacts of direct radiative effects of scattering and absorbing aerosols on surface layer aerosol concentrations in China during a heavily polluted event in February 2014

et al. 2017

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We quantified aerosol direct radiative effects on surface layer concentrations of aerosols during a heavily polluted event in the North China Plain (NCP, 35.4°N–41.2°N, 113.3°E–119.3°E) during 21–27 February 2014, using the chemistry version of the Weather Research and Forecasting (WRF‐Chem) Model. Comparisons of model results with observations showed that the WRF‐Chem model reproduced the spatial and temporal variations of meteorological variables reasonably well, but overestimated average PM2.5 concentration by 21.7% over the NCP during 21–27 February. The simulated direct radiative effects of total, absorbing, and scattering aerosols reduced the planetary boundary layer (PBL) heights by 111.4 m, 35.7 m, and 70.7 m, respectively, averaged over NCP and 21–27 February. The direct radiative effects of total aerosols induced increases in aerosol concentrations by 11.5% for SO42−, 29.5% for NO3−, 29.6% for NH4+, 28.7% for organic carbon (OC), 26.7% for black carbon (BC), and 20.4% for PM2.5, respectively, averaged over the NCP during 21–27 February 2014. The increase in PM2.5 concentration averaged over the NCP and the haze event was 29.6 μg m−3 (16.8%) due to radiative effect of scattering aerosols, as a result of the decreases in PBL height and changes in secondary aerosol production rates. The corresponding increase in PM2.5 concentration owing to absorbing aerosols was 2.1 μg m−3 (1.0%), resulting from the offsetting impacts of changes in PBL height, wind near the surface, and chemical processes.

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Impact of Climate Change on Siberian High and Wintertime Air Pollution in China in Past Two Decades

et al. 2018

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China has suffered severe air pollutions during wintertime as national industrialization and urbanization have been increasingly developed in the past decades. Recent studies suggest that climate change has important impacts on extreme haze events in northern China. This study uses reanalysis datasets to analyze the trend and variability of Siberian High (SiH) intensity, and its relationship with the Arctic temperature and sea ice cover (SIC) in past two decades. The results show that Arctic is warming accompanied by a rapid decline of SIC, while Eurasia is cooling and SiH intensity is gradually enhancing. The statistics illustrates that the SiH has a significantly positive correlation to the temperature (R = 0.70), and a significant anticorrelation to the SIC (R = −0.69), and this is because the warming Arctic and the reducing SIC enhanced the SiH. The enhanced SiH leads to strengthened northerly winds in the North China Plain (NCP). The WRF‐Chem model calculation reveals the strengthened northerly winds during the stronger SiH period in January 2016 produce a significant decrease in PM2.5 (particulate matter with aerodynamic diameter less than 2.5 µm) concentrations by 100–200 µg m−3 than that during the weaker one in January 2013. A sensitivity calculation figures out the reduction of PM2.5 concentrations due to a decrease of 50% in emissions is comparable to changes from the weak SiH condition to the strong SiH condition, suggesting that extreme climate variability in the past few years could have an equivalent impact as a consequence of a large emission reduction on wintertime air pollution in the NCP.

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Modeling study of the 2010 regional haze event in the North China Plain

Cited by 49 publications

References 65 publications

Investigation of the Air Pollution Event in Beijing-Tianjin-Hebei Region in December 2016 Using WRF-Chem

Investigation of the Air Pollution Event in Beijing-Tianjin-Hebei Region in December 2016 Using WRF-Chem

Simulated impacts of direct radiative effects of scattering and absorbing aerosols on surface layer aerosol concentrations in China during a heavily polluted event in February 2014

Impact of Climate Change on Siberian High and Wintertime Air Pollution in China in Past Two Decades

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