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Mixing layer height and its implications for air pollution over Beijing, China

机译:混合层高度及其对北京空气污染的影响

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The mixing layer is an important meteorological factor that affects air pollution. In this study, the atmospheric mixing layer height (MLH) was observed in Beijing from July?2009 to December?2012 using a?ceilometer. By comparison with radiosonde data, we found that the ceilometer underestimates the MLH under conditions of neutral stratification caused by strong winds, whereas it overestimates the MLH when sand-dust is crossing. Using meteorological, PM2.5, and PM10 observational data, we screened the observed MLH automatically; the ceilometer observations were fairly consistent with the radiosondes, with a?correlation coefficient greater than 0.9. Further analysis indicated that the MLH is low in autumn and winter and high in spring and summer in Beijing. There is a?significant correlation between the sensible heat flux and MLH, and the diurnal cycle of the MLH in summer is also affected by the circulation of mountainous plain winds. Using visibility as an index to classify the degree of air pollution, we found that the variation in the sensible heat and buoyancy term in turbulent kinetic energy (TKE) is insignificant when visibility decreases from 10 to 5 km, but the reduction of shear term in TKE is near 70 %. When visibility decreases from 5 to 1 km, the variation of the shear term in TKE is insignificant, but the decrease in the sensible heat and buoyancy term in TKE is approximately 60 %. Although the correlation between the daily variation of the MLH and visibility is very poor, the correlation between them is significantly enhanced when the relative humidity increases beyond 80 %. This indicates that humidity-related physicochemical processes is the primary source of atmospheric particles under heavy pollution and that the dissipation of atmospheric particles mainly depends on the MLH. The presented results of the atmospheric mixing layer provide useful empirical information for improving meteorological and atmospheric chemistry models and the forecasting and warning of air pollution.
机译:混合层是影响空气污染的重要气象因素。在这项研究中,从7月北京观察到大气混合层高度(MLH)2009年到12月(2012年)使用A?Ceirometer。通过与无线电探测器数据进行比较,我们发现CEIILETETER在强风引起的中性分层条件下低估了MLH,而当沙尘交叉时,它高估了MLH。使用气象,PM2.5和PM10观测数据,我们自动筛选观察到的MLH; Ceirometer观察与无线电盘相当一致,具有Δ相关系数大于0.9。进一步的分析表明,北京春季和冬季和夏季的MLH低。显着的热通量和MLH之间存在显着的相关性,夏季MLH的昼夜循环也受到山地平原风的循环的影响。使用可见性作为分类空气污染程度的指数,我们发现,当可见性从10到5km降低时,湍流动能(TKE)中的明智热量和浮力术语的变化是微不足道的,但剪切术语的减少TKE接近70%。当可见性从5到1 km降低时,TKe中剪切术语的变化是微不足道的,但TKE中的明智热量和浮力术语的降低约为60%。尽管MLH和可见度的日常变化之间的相关性非常差,但是当相对湿度增加超过80%时,它们之间的相关性显着提高。这表明湿度相关的物理化学过程是大气污染下大气颗粒的主要来源,大气颗粒的耗散主要取决于MLH。大气混合层的所呈现的结果为改善气象和大气化学模型以及空气污染的预测和预测提供了有用的经验信息。

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