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首页> 外文期刊>Atmospheric environment >Positive matrix factorization and trajectory modelling for source identification: A new look at Indian Ocean Experiment ship observations
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Positive matrix factorization and trajectory modelling for source identification: A new look at Indian Ocean Experiment ship observations

机译：用于源识别的正矩阵分解和轨迹建模：印度洋实验船观测的新观察

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摘要

The sources of aerosols on a regional scale over India have only recently received attention in studies using back trajectory analysis and chemical transport modelling. Receptor modelling approaches such as positive matrix factorization (PMF) and the potential source contribution function (PSCF) are effective tools in source identification of urban and regional-scale pollution. In this work, PMF and PSCF analysis is applied to identify categories and locations of sources that influenced surface concentrations of aerosols in the Indian Ocean Experiment (INDOEX) domain measured on-board the research vessel Ron Brown [Quinn, P.K., Coffman, D.J., Bates, T.S., Miller, T.L., Johnson, J.E., Welton, E.J., et al., 2002. Aerosol optical properties during INDOEX 1999: means, variability, and controlling factors. Journal of Geophysical Research 107, 8020, doi:10.1029/2000JD000037]. Emissions inventory information is used to identify sources co-located with probable source regions from PSCF. PMF analysis identified six factors influencing PM concentrations during the INDOEX cruise of the Ron Brown including a biomass combustion factor (35-40%), three industrial emissions factors (35-40%), primarily secondary sulphate-nitrate, balance trace elements and Zn, and two dust factors (20-30%) of Si- and Ca-dust. The identified factors effectively predict the measured submicron PM concentrations (slope of regression line = 0.90 ±0.20; R~2 = 0.76). Probable source regions shifted based on changes in surface and elevated flows during different times in the ship cruise. They were in India in the early part of the cruise, but in west Asia, south-east Asia and Africa, during later parts of the cruise. Co-located sources include coal-fired electric utilities, cement, metals and petroleum production in India and west Asia, biofuel combustion for energy and crop residue burning in India, woodland/forest burning in north sub-Saharan Africa and forest burning in south-east Asia. Significant findings are equivalent contributions of biomass combustion and industrial emissions to the measured aerosol surface concentrations, the origin of carbonaceous aerosols largely from biomass combustion and the identification of probable source regions in Africa, west Asia, the Arabian peninsula and south-east Asia, in addition to India, which affected particulate matter concentrations over parts of the INDOEX domain covered by the Ron Brown cruise.
机译：直到最近，在印度使用反向轨迹分析和化学迁移模型的研究中，才注意到区域范围内的气溶胶来源。诸如正矩阵分解（PMF）和潜在源贡献函数（PSCF）之类的受体建模方法是识别城市和区域规模污染源的有效工具。在这项工作中，应用PMF和PSCF分析来确定影响印度洋实验（INDOEX）域中气溶胶表面浓度的来源类别和位置，这些来源是在研究船Ron Brown [Quinn，PK，Coffman，DJ， Bates，TS，Miller，TL，Johnson，JE，Welton，EJ等，2002。INDOEX1999期间的气溶胶光学特性：均值，可变性和控制因素。地球物理研究杂志107，8020，doi：10.1029 / 2000JD000037]。排放清单信息用于识别与PSCF可能的排放源区域共存的排放源。 PMF分析确定了罗恩·布朗（Ron Brown）在INDOEX航行期间影响PM浓度的六个因素，包括生物质燃烧因子（35-40％），三个工业排放因子（35-40％），主要是次硫酸盐，硝酸盐，微量元素和锌，还有两个粉尘因子（20-30％）为硅粉尘和钙粉尘。所识别的因素有效地预测了测得的亚微米PM浓度（回归线的斜率= 0.90±0.20； R〜2 = 0.76）。可能的源区域根据船舶巡航期间不同时间的水面变化和流量增加而发生变化。他们在巡游初期是在印度，但在巡游后期则是在西亚，东南亚和非洲。位于同一地点的来源包括印度和西亚的燃煤电力，水泥，金属和石油生产，印度的能源和农作物残渣燃烧用生物燃料燃烧，撒哈拉以南非洲北部的林地/森林燃烧以及南美洲南部的森林燃烧。东亚。重大发现是生物量燃烧和工业排放对测得的气溶胶表面浓度的等效贡献，主要来自生物量燃烧的碳质气溶胶的起源以及非洲，西亚，阿拉伯半岛和东南亚的可能来源地区的识别。除印度外，这影响了罗恩·布朗号巡洋舰覆盖的部分INDOEX域中的颗粒物浓度。

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