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IMPACT OF METEOROLOGY ON THE FINE PARTICIULATE MATTER DISTRIBUTION IN CENTRAL AND SOUTHEASTERN OHIO

机译:气象对俄亥俄州中部和南部细颗粒物分布的影响

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摘要

Air quality problem related to fine particulate matter (PM_(2.5)) in Ohio is associated with both local emission sources and pollutants transported here from great distances. Favorable meteorological situations contribute to the formation and transport of PM_(2.5) within Ohio. A detailed understanding of the sources of pollutants and meteorological conditions affecting air quality is therefore required for any meaningful air quality planning in Ohio. In this study, the characteristics of fine particulate matter distribution are evaluated for selected monitoring sites in Ohio. Trajectory and cluster analyses were employed to study the movement of air parcels carrying pollutants from sources situated long distances. Recent studies have used cluster analysis for various purposes. Dorling et al. (1992) applied cluster analysis to find out the relationships between large-scale surface pressure patterns and the pollution climatology of a site. Also, they used cluster analysis as a tool for examining the influence of synoptic weather patterns on air and precipitation chemistry. Brankov et al. (1999) examined the relationship between synoptic-scale atmospheric transport patterns and concentration levels of several toxic trace elements with cluster ana.'ysis. Another study by Rao et al. (1998) addressed the influence of a finite number of synoptic patterns associated with pollutant transport from a different source region.
机译:俄亥俄州与细颗粒物(PM_(2.5))有关的空气质量问题与当地排放源和从远处转移到这里的污染物有关。有利的气象条件促进了俄亥俄州内PM_(2.5)的形成和运输。因此,在俄亥俄州进行任何有意义的空气质量规划时,都需要对影响空气质量的污染物来源和气象条件的详细了解。在这项研究中,对俄亥俄州特定监测点的细颗粒物分布特征进行了评估。轨迹分析和聚类分析被用来研究长距离污染源中携带污染物的空气包裹的运动。最近的研究已将聚类分析用于各种目的。 Dorling等。 (1992年)应用聚类分析来发现大规模表面压力模式与站点的污染气候之间的关系。另外,他们使用聚类分析作为检查天气模式对空气和降水化学影响的工具。布兰科夫等。 (1999)用聚类分析法研究了天气尺度的大气运输模式与几种有毒微量元素的浓度水平之间的关系。 Rao等人的另一项研究。 (1998)解决了与来自不同源区域的污染物迁移相关的有限天气模式的影响。

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