A GIS based approach to back trajectory analysis for the source apportionment of aerosol constituents and its first application
A GIS based approach to back trajectory analysis for the source apportionment of aerosol constituents and its first application
复制标题
基于GIS的气溶胶成分来源解析回溯轨迹分析方法及其首次应用
DOI：
10.1007/s10874-011-9199-9
复制
发表时间：
2010
影响因子：
2
通讯作者：
H. Herrmann
中科院分区：
文献类型：
--
作者：
D. Pinxteren;E. Brüggemann;T. Gnauk;K. Müller;C. Thiel;H. Herrmann
一种新的方法已经发展到结合联合收割机回轨迹统计与详细的土地覆盖分析。它提供了某些土地覆盖类别（海洋、自然植被、农田、城市地区和裸露地区）上方采样空气团停留时间的数字代用指标，以及进一步的气象参数（平均轨迹长度、沿着轨迹的太阳辐射和边界混合层的局部高度）。该方法已被实施到一个GIS数据库系统，允许一个高效的处理大型数据集，计算量低。一个主成分分析数据集，包括建模的停留时间，建模的气象参数，一些测量的气象参数（风速和温度），和浓度的10个颗粒成分（无机离子和有机和元素碳）在5个粒径范围内的29个冬季和夏季的样本在城市背景站点在德国莱比锡。可以提取六个主成分，它们共同解释了数据集中约80%的总方差。这些因素可归因于气象学对大陆背景污染的影响、污染气团的次级形成过程、木材燃烧、老化海盐、当地交通和远距离输送的地壳物质。模拟的停留时间和气象参数一般与特定颗粒源的现有知识相一致，从而促进和加强了对这些因素的解释。此外，它们还可以明确区分大陆背景污染和次级形成过程，这在以前的源解析研究中是不可能做到的。结果表明，后向轨迹，土地覆盖和气象数据的组合使用所提出的方法产生了宝贵的额外的信息采样的空气质量的历史，这可以提高大气气溶胶成分的源解析的质量。
A new method has been developed to combine back trajectory statistics with a detailed land cover analysis. It provides numeric proxies for the residence times of sampled air masses above certain land cover classes (marine, natural vegetation, agricultural lands, urban areas, and bare areas), as well as further meteorological parameters (mean trajectory length, solar radiation along trajectory, and local height of the boundary mixing layer). The method has been implemented into a GIS-enabled database system to allow for an efficient processing of large datasets with low computational demands. A principal component analysis was performed on a dataset including the modelled residence times, the modelled meteorological parameters, some measured meteorological parameters (wind speed and temperature), and the concentrations of 10 particle constituents (inorganic ions and organic and elemental carbon) in 5 particle size ranges for 29 winter- and summertime samples at an urban background site in Leipzig, Germany. Six principal components could be extracted which together explained about 80% of the total variance in the dataset. The factors could be attributed to the influence of meteorology to continental background pollution, secondary formation processes in polluted air masses, wood burning, aged sea-salt, local traffic, and long-range transported crustal material. The modelled residence times and the meteorological parameters were generally consistent with the existing knowledge of specific particle sources and thereby facilitated and strengthened the interpretation of the factors. Moreover, they allowed for a clear distinction between continental background pollution and secondary formation processes, which has not been possible in previous source apportionment studies. The results demonstrate that the combined usage of back trajectory, land cover, and meteorological data by the presented method yields valuable additional information on the history of sampled air masses, which can improve the quality of source apportionment of atmospheric aerosol constituents.