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应用自组织映射和正定矩阵因子分解法研究中国北方襄汾县土壤中多环芳烃的空间分布及来源。

Application of a self-organizing map and positive matrix factorization to investigate the spatial distributions and sources of polycyclic aromatic hydrocarbons in soils from Xiangfen County, northern China.

作者信息

Tao Shi-Yang, Zhong Bu-Qing, Lin Yan, Ma Jin, Zhou Yongzhang, Hou Hong, Zhao Long, Sun Zaijin, Qin Xiaopeng, Shi Huading

机构信息

School of Earth Science and Geological Engineering, Center for Earth Environment and Resources, Sun Yat-sen University, Guangzhou 510275, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

出版信息

Ecotoxicol Environ Saf. 2017 Jul;141:98-106. doi: 10.1016/j.ecoenv.2017.03.017. Epub 2017 Mar 19.

DOI:10.1016/j.ecoenv.2017.03.017
PMID:28319865
Abstract

The concentrations of 16 priority polycyclic aromatic hydrocarbons (PAHs) were measured in 128 surface soil samples from Xiangfen County, northern China. The total mass concentration of these PAHs ranged from 52 to 10,524ng/g, with a mean of 723ng/g. Four-ring PAHs contributed almost 50% of the total PAH burden. A self-organizing map and positive matrix factorization were applied to investigate the spatial distribution and source apportionment of PAHs. Three emission sources of PAHs were identified, namely, coking ovens (21.9%), coal/biomass combustion (60.1%), and anthracene oil (18.0%). High concentrations of low-molecular-weight PAHs were particularly apparent in the coking plant zone in the region around Gucheng Town. High-molecular-weight PAHs mainly originated from coal/biomass combustion around Gucheng Town, Xincheng Town, and Taosi Town. PAHs in the soil of Xiangfen County are unlikely to pose a significant cancer risk for the population.

摘要

在中国北方襄汾县的128个表层土壤样本中,测定了16种优先多环芳烃(PAHs)的浓度。这些PAHs的总质量浓度范围为52至10524 ng/g,平均值为723 ng/g。四环PAHs几乎占总PAH负荷的50%。应用自组织映射和正定矩阵因子分解法研究PAHs的空间分布和源解析。确定了PAHs的三个排放源,即焦炉(21.9%)、煤炭/生物质燃烧(60.1%)和蒽油(18.0%)。低分子量PAHs的高浓度在古城镇周边地区的焦化厂区尤为明显。高分子量PAHs主要源自古城镇、新城镇和陶寺镇周边的煤炭/生物质燃烧。襄汾县土壤中的PAHs不太可能对人群构成重大癌症风险。

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Exploring Soil Pollution Patterns Using Self-Organizing Maps.利用自组织映射探索土壤污染模式
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