2000-2020 年中国城市群土壤多环芳烃的时空分布、来源和生态风险

IF 2.1 Q3 SOIL SCIENCE
Hai Guo, Zesong Wei, Guangxing Guo, Zejia Zhang
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引用次数: 0

摘要

为了研究 2000 年至 2020 年中国城市群土壤多环芳烃(PAHs)的时空分布、来源和生态风险,采用了以 "土壤"、"PAHs "和 "城市 "为关键词的综合检索策略。共收集到 122 项相关研究,这些研究提供了指定时间段内各个多环芳烃含量的信息。这些研究涵盖了中国的 20 个城市群,并进一步分为两个不同的时期:2000 年至 2010 年和 2011 年至 2020 年。采用诊断比率法和主成分分析法确定多环芳烃的来源,并采用风险商数模型评估土壤生态风险。结果表明,2011-2020 年中国 20 个城市群的多环芳烃平均含量为 2,439 ± 4,633 ng-g-1,超过了严重污染水平临界值(> 1,000 ng-g-1)。与 2000 年至 2010 年的土壤 PAH 含量相比,2011 年至 2020 年的土壤 PAH 含量下降了 28%。与南部城市群相比,北部城市群的土壤多环芳烃污染更为严重。诊断比率和主成分分析表明,中国大多数城市群的主要污染源是交通和燃煤。GeoDetector 发现,煤炭和燃油消耗是影响多环芳烃空间分异的主要因素。生态风险商数显示,2000-2010 年约 80% 的城市群处于中高生态风险,而 2011-2020 年这一比例为 72%。因此,有必要深化能源结构改革,以缓解煤炭和燃油对城市群造成的严重污染威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal distribution, sources, and ecological risk of soil polycyclic aromatic hydrocarbons in Chinese urban agglomerations from 2000 to 2020
To investigate the spatial and temporal distribution, sources, and ecological risk of soil polycyclic aromatic hydrocarbons (PAHs) in China’s urban agglomerations from 2000 to 2020, a comprehensive search strategy was employed using the keywords “soil”, “PAHs”, and “city”. A total of 122 relevant studies that provided information on individual PAH content during the specified time period were collected. These studies encompassed 20 urban agglomerations in China, which were further categorized into two distinct periods: 2000 to 2010 and 2011 to 2020. The diagnostic ratio method and principal component analysis were employed to identify the sources of PAHs, and a risk quotient model was used to evaluate the soil ecological risk. The results revealed the average PAH content in the 20 urban agglomerations in China from 2011 to 2020 was 2,439 ± 4,633 ng·g-1, which exceeded the severe pollution level cut-off (> 1,000 ng·g-1). The soil PAH content in the period from 2011 to 2020 decreased by 28% compared to the soil PAH content in the period from 2000 to 2010. Soil PAH pollution was more severe in the northern urban agglomerations than in the southern urban agglomerations. Diagnostic ratios and principal component analysis demonstrated that the principal sources in most urban agglomerations in China were traffic and coal combustion. GeoDetector found that coal and fuel oil consumption were the main factors affecting the spatial differentiation of PAHs. The ecological risk quotient showed that approximately 80% of the urban agglomerations were at a medium-high ecological risk from 2000 to 2010, compared with 72% from 2011 to 2020. Thus, it is necessary to deepen energy structure reform to alleviate the threat of serious pollution caused by coal and fuel oil in urban agglomerations.
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