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Regional severe particle pollution and its association with synoptic weather patterns in the Yangtze River Delta region, China

机译:长江三角洲区域严重颗粒物污染及其与天气天气模式的关系

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摘要

Regional air pollution is significantly associated with dominant weathersystems. In this study, the relationship between the particle pollution overthe Yangtze River Delta (YRD) region and weather patterns is investigated.First, the pollution characteristics of particles in the YRD are studiedusing in situ monitoring data (PM and PM) in 16 cities andTerra/MODIS AOD (aerosol optical depth) products collected from December 2013to November 2014. The results show that the regional mean value of AOD ishigh in the YRD, with an annual mean value of 0.71±0.57. The annual meanparticle concentrations in the cities of Jiangsu Province all exceed thenational air quality standard. The pollution level is higher in inland areas,and the highest concentrations of PM and PM are 79 and130 µg m, respectively, in Nanjing. ThePM  :  PM ratios are typically high, thus indicating thatPM is the overwhelmingly dominant particle pollutant in the YRD. Thewintertime peak of particle concentrations is tightly linked to the increasedemissions during the heating season as well as adverse meteorologicalconditions. Second, based on NCEP (National Center for Environmental Prediction) reanalysis data, synoptic weatherclassification is conducted and five typical synoptic patterns areobjectively identified. Finally, the synthetic analysis of meteorologicalfields and backward trajectories are applied to further clarify how thesepatterns impact particle concentrations. It is demonstrated that airpollution is more or less influenced by high-pressure systems. The relativeposition of the YRD to the anti-cyclonic circulation exerts significanteffects on the air quality of the YRD. The YRD is largely influenced bypolluted air masses from the northern and the southern inland areas when itis located at the rear of the East Asian major trough. The significantdownward motion of air masses results in stable weather conditions, therebyhindering the diffusion of air pollutants. Thus, this pattern is quitefavorable for the accumulation of pollutants in the YRD, resulting in higherregional mean PM (116.5 ± 66.9 µg m),PM (75.9 ± 49.9 µg m), and AOD (0.74) values.Moreover, this pattern is also responsible for the occurrence of mostlarge-scale regional PM (70.4 %) and PM (78.3 %)pollution episodes. High wind speed and clean marine air masses may also playimportant roles in the mitigation of pollution in the YRD. Especially whenthe clean marine air masses account for a large proportion of alltrajectories (i.e., when the YRD is affected by the cyclonic system oroceanic circulation), the air in the YRD has a lesser chance of beingpolluted. The observed correlation between weather patterns and particlepollution can provide valuable insight into making decisions about pollutioncontrol and mitigation strategies.
机译:区域空气污染与主要的天气系统显着相关。本研究探讨了长江三角洲地区的颗粒物污染与天气模式之间的关系。首先,利用16个城市和Terra /的实地监测数据(PM和PM)研究了长江三角洲中颗粒物的污染特征。从2013年12月至2014年11月收集了MODIS AOD(气溶胶光学深度)产品。结果表明,长三角地区AOD的区域平均值较高,年平均值为0.71±0.57。江苏省城市年平均颗粒浓度均超过国家空气质量标准。内陆地区的污染水平较高,南京的PM和PM的最高浓度分别为79和130μg/ m。 PM:PM比率通常很高,因此表明PM是长三角地区绝大多数的主要颗粒污染物。颗粒物浓度的冬季峰值与加热季节的排放增加以及不利的气象条件紧密相关。其次,根据NCEP(国家环境预测中心)再分析数据,对天气进行天气分类,并客观地识别出五个典型的天气模式。最后,对气象场和后向轨迹进行了综合分析,以进一步阐明这些模式如何影响颗粒物浓度。结果表明,空气污染或多或少受到高压系统的影响。 YRD与反气旋循环的相对位置对YRD的空气质量产生重大影响。当位于东亚大槽后部时,YRD很大程度上受到来自北部和南部内陆地区的污染空气团的影响。空气团的明显向下运动导致天气状况稳定,从而阻碍了空气污染物的扩散。因此,这种模式非常有利于长三角地区污染物的积累,从而导致较高的区域平均PM(116.5±66.9μgm),PM(75.9±49.9μgm)和AOD(0.74)值更高。造成了最大规模的区域性PM(70.4%)和PM(78.3 %%)污染事件的发生。高风速和清洁的海洋气团在减轻长三角地区污染方面也可能发挥重要作用。尤其是当清洁的海洋气团占所有运动的很大一部分时(即当YRD受旋风系统海洋循环影响时),YRD中的空气受到污染的机会较小。观测到的天气模式与颗粒物污染之间的相关性可以为制定有关污染控制和缓解策略的决策提供有价值的见解。

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