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应用正定矩阵因子分解法识别中国大连土壤中多环芳烃的潜在来源。

Application of positive matrix factorization to identify potential sources of PAHs in soil of Dalian, China.

作者信息

Wang Degao, Tian Fulin, Yang Meng, Liu Chenlin, Li Yi-Fan

机构信息

International Joint Research Center for Persistent Toxic Substances, Dalian Maritime University, Dalian 116026, China.

出版信息

Environ Pollut. 2009 May;157(5):1559-64. doi: 10.1016/j.envpol.2009.01.003. Epub 2009 Feb 7.

DOI:10.1016/j.envpol.2009.01.003
PMID:19201072
Abstract

Soil derived sources of polycyclic aromatic hydrocarbons (PAHs) in the region of Dalian, China were investigated using positive matrix factorization (PMF). Three factors were separated based on PMF for the statistical investigation of the datasets both in summer and winter. These factors were dominated by the pattern of single sources or groups of similar sources, showing seasonal and regional variations. The main sources of PAHs in Dalian soil in summer were the emissions from coal combustion average (46%), diesel engine (30%), and gasoline engine (24%). In winter, the main sources were the emissions from coal-fired boiler (72%), traffic average (20%), and gasoline engine (8%). These factors with strong seasonality indicated that coal combustion in winter and traffic exhaust in summer dominated the sources of PAHs in soil. These results suggested that PMF model was a proper approach to identify the sources of PAHs in soil.

摘要

利用正定矩阵因子分解法(PMF)对中国大连地区土壤中多环芳烃(PAHs)的土壤源进行了调查。基于PMF分离出三个因子,用于对夏季和冬季数据集进行统计调查。这些因子以单一源或相似源组的模式为主,呈现出季节性和区域性变化。大连土壤中PAHs的主要来源在夏季是煤炭燃烧排放(平均46%)、柴油发动机(30%)和汽油发动机(24%)。在冬季,主要来源是燃煤锅炉排放(72%)、交通排放(平均20%)和汽油发动机(8%)。这些具有强烈季节性的因子表明,冬季煤炭燃烧和夏季交通尾气排放主导了土壤中PAHs的来源。这些结果表明,PMF模型是识别土壤中PAHs来源的合适方法。

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