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Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog–haze event over the North China Plain

机译:对华北平原一次严重的雾霾事件中大气边界层气溶胶和气象变量之间的反馈进行建模

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摘要

The feedback between aerosol and meteorological variables in the atmosphericboundary layer over the North China Plain (NCP) is analyzed by conductingnumerical experiments with and without the aerosol direct and indirecteffects via a coupled meteorology and aerosol/chemistry model (WRF-Chem). Thenumerical experiments are performed for the period of 2–26 January 2013, duringwhich a severe fog–haze event (10–15 January 2013) occurred, with thesimulated maximum hourly surface PM concentration of ~600 ugm, minimum atmospheric visibility of ~0.3 km, and 10–100 hoursof simulated hourly surface PM concentration above 300 ug mover NCP. A comparison of model results with aerosol feedback againstobservations indicates that the model can reproduce the spatial and temporalcharacteristics of temperature, relative humidity (RH), wind, surfacePM concentration, atmospheric visibility, and aerosol optical depthreasonably well. Analysis of model results with and without aerosol feedbackshows that during the fog–haze event aerosols lead to a significant negativeradiative forcing of −20 to −140 W m at the surface and a largepositive radiative forcing of 20–120 W m in the atmosphere andinduce significant changes in meteorological variables with maximum changesduring 09:00–18:00 local time (LT) over urban Beijing and Tianjin and southHebei: the temperature decreases by 0.8–2.8 °C at thesurface and increases by 0.1–0.5 °C at around 925 hPa, while RHincreases by about 4–12% at the surface and decreases by 1–6% ataround 925 hPa. As a result, the aerosol-induced equivalent potentialtemperature profile change shows that the atmosphere is much more stable andthus the surface wind speed decreases by up to 0.3 m s (10%)and the atmosphere boundary layer height decreases by 40–200 m(5–30%) during the daytime of this severe fog–haze event. Owing to thismore stable atmosphere during 09:00–18:00, 10–15~January, compared to thesurface PM concentration from the model results without aerosolfeedback, the average surface PM concentration increases by10–50 μg m (2–30%) over Beijing, Tianjin, and southHebei and the maximum increase of hourly surface PMconcentration is around 50 (70%), 90 (60%), and80 μg m (40%) over Beijing, Tianjin, and southHebei, respectively. Although the aerosol concentration is maximumat nighttime, the mechanism of feedback, by which meteorological variablesincrease the aerosol concentration most, occurs during the daytime (around10:00 and 16:00 LT). The results suggest that aerosol induces a more stableatmosphere, which is favorable for the accumulation of air pollutants, andthus contributes to the formation of fog–haze events.
机译:通过结合气象和气溶胶/化学模型(WRF-Chem),通过进行有或没有气溶胶直接和间接影响的数值试验,分析了华北平原大气边界层气溶胶和气象变量之间的反馈。在2013年1月2日至26日进行了数值实验,在此期间发生了严重的雾霾事件(2013年1月10日至15日),模拟的每小时最大表面PM浓度约为600 ugm,最小大气能见度约为0.3 km,以及高于300 ug推动器NCP的10–100小时的模拟每小时表面PM浓度。将模型结果与气溶胶反馈与观测结果进行比较表明,该模型可以合理地再现温度,相对湿度(RH),风,表面PM浓度,大气可见度和气溶胶光学深度的时空特征。对有或没有气溶胶反馈的模型结果的分析表明,在雾霾天气期间,气溶胶会导致表面上-20至-140 W m的显着负辐射强迫,以及大气中20-120 W m的大正向辐射强迫,并引起显着的正向辐射强迫。北京,天津和南部城市的当地时间09:00–18:00(LT)期间,气象变量的变化最大,地表温度下降约0.8-2.8°C,而在925 hPa左右上升0.1-0.5°C ,相对湿度在表面约增加4–12%,在925 hPa左右下降1–6%。结果,气溶胶引起的等效电位温度剖面变化表明,大气更加稳定,因此表面风速下降了0.3 ms(10%),大气边界层高度下降了40–200 m(5– 30%)在白天出现这种严重的雾霾事件。由于1月10日至15日的09:00–18:00大气更加稳定,与没有气溶胶反馈的模型结果中的表面PM浓度相比,在整个过程中,平均表面PM浓度增加了10–50μgm(2–30%)北京,天津和河北南部,每小时地表PM浓度的最大增加分别在北京,天津和河北南部分别约为50(70%),90(60%)和80μgm(40%)。尽管气溶胶浓度在夜间最大,但在白天(美国中部时间10:00和16:00左右)会发生反馈机制,通过该机制,气象变量会最大程度地提高气溶胶浓度。结果表明,气溶胶引起了一个更稳定的大气,这有利于空气污染物的积累,从而促进了雾霾事件的形成。

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