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Gaseous pollutants in Beijing urban area during the heating period 2007-2008: Variability, sources, meteorological, and chemical impacts

机译:2007-2008年供热期间北京市区的气态污染物:变异性,来源,气象和化学影响

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Gaseous pollutants, NO_y/NO_x, SO_2, CO, and O_3, were measured at an urban site in Beijing from 17 November 2007 to 15 March 2008. The average concentrations (with ± 1;sigma;) of NO, NO_2, NO_x, NO_y, CO, SO_2, and O3 were 29.0 ± 2.7 ppb, 33.7 ± 1.4 ppb, 62.7 ± 4.0 ppb, 72.8 ± 4.5 ppb, 1.99 ± 0.13 ppm, 31.9 ± 2.0 ppb, and 11.9 ± 0.8 ppb, respectively, with hourly maxima of 200.7 ppb, 113.5 ppb, 303.9 ppb, 323.2 ppb, 15.06 ppm, 147.3 ppb, and 69.7 ppb, respectively. The concentrations of the pollutants show "saw-toothed" patterns, which are attributable mainly to changes in wind direction and speed. The frequency distributions of the hourly mean concentrations of NO_y, SO _2, CO, and O_3 can all be decomposed in the two Lorentz curves, with their peak concentrations representing background levels under different conditions. During the observation period, the average ratio NO _x/NO_y was 0.86 ± 0.10, suggesting that the gaseous pollutants in Beijing in winter are mainly from local emissions. Data of O _3, NO_z, and NO_x/NO_y indicate that photochemistry can take place in Beijing even in the cold winter period. Based on the measurements of O_3, NO_x, and NO_y, ozone production efficiency (OPE) is estimated to be in the range of 0-8.9 (ppb ppb~(-1)) with the mean(± 1σ) and median values being 1.1(± 1.6) and 0.5 (ppb ppb~(-1)), respectively, for the winter 2007-2008 in Beijing. This low OPE would cause a photochemical O3 source of 5 ppb day~(-1), which is small but significant for surface O_3 in winter in Beijing. Downward transport of O_3-rich air from the free troposphere is the more important factor for the enhancement of the O3 level in the surface layer, while high NO level for the destruction of O_3. The concentrations of SO_2, CO, and NO_x are strongly correlated among each other, indicating that they are emitted by some common sources. Multiple linear regression analysis is applied to the concentrations of NO_y, SO_2, and CO and empirical equations are obtained for the NO_y concentration. Based the equations, the relative contributions from mobile and point sources to NO_y is estimated to be 66 ± 30 % and 40 ± 16 %, respectively, suggesting that even in the heating period, mobile sources in Beijing contribute more to NOy than point sources.
机译:在2007年11月17日至2008年3月15日期间,在北京某城市现场测量了气态污染物NO_y / NO_x,SO_2,CO和O_3。NO,NO_2,NO_x,NO_y的平均浓度(±1;σ)。 ,CO,SO_2和O3分别为29.0±2.7 ppb,33.7±1.4 ppb,62.7±4.0 ppb,72.8±4.5 ppb,1.99±0.13 ppm,31.9±2.0 ppb和11.9±0.8 ppb,每小时最高分别为200.7 ppb,113.5 ppb,303.9 ppb,323.2 ppb,15.06 ppm,147.3 ppb和69.7 ppb。污染物的浓度呈“锯齿”状,主要归因于风向和风速的变化。每小时平均浓度NO_y,SO _2,CO和O_3的频率分布都可以在两条Lorentz曲线中分解,其峰值浓度代表不同条件下的背景水平。在观测期内,NO _x / NO_y的平均比为0.86±0.10,表明北京冬季的气态污染物主要来自局部排放。 O _3,NO_z和NO_x / NO_y的数据表明,即使在寒冷的冬季,光化学反应也可以在北京发生。根据O_3,NO_x和NO_y的测量值,臭氧生产效率(OPE)估计在0-8.9(ppb ppb〜(-1))的范围内,平均值(±1σ)和中位数为1.1 2007-2008年北京冬季分别为(±1.6)和0.5(ppb ppb〜(-1))。较低的OPE会导致光化学O3来源为5 ppb日〜(-1),虽然很小,但对于北京冬季的O_3表面而言却很重要。来自自由对流层的富含O_3的空气的向下输送是提高表层O3含量的更重要因素,而较高的NO含量则破坏了O_3。 SO_2,CO和NO_x的浓度之间存在很强的相关性,表明它们是由某些常见源排放的。对NO_y,SO_2和CO的浓度进行了多元线性回归分析,并获得了NO_y浓度的经验方程。根据这些方程,估计移动源和点源对NO_y的相对贡献分别为66±30%和40±16%,这表明即使在供暖时期,北京的移动源对NOy的贡献​​也要大于点源。

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