State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; School of Earth Science and Engineering, 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.
Environ Pollut. 2021 Sep 1;284:117191. doi: 10.1016/j.envpol.2021.117191. Epub 2021 Apr 21.
Organic and inorganic pollutants are often co-sedimentary in soils and have the same sources in the urban environment. The identification of the sources and distribution of combined pollutants is a basic step in risk management. In this study, the levels of polycyclic aromatic hydrocarbons (PAHs) and heavy metals (HMs) were measured in urban park soils in Beijing. Bivariate local Moran's I and positive matrix factorization (PMF) source apportionment were used to identify the spatial clustering patterns and potential sources of PAHs and HMs, as well as to ultimately define a pollution risk control area. The results revealed an obvious clustered distribution of PAHs and HMs in the park soils. High-high areas were defined as sites containing a complex mixture of pollutants, which were mainly located in the center and north of Beijing. High-low and low-high areas were located outside the city center but had the potential for combined pollution, and therefore require continuous attention. Bivariate local indicators of spatial association (LISA) enabled a more accurate analyses of the mechanism controlling the spatial distribution of PAH and HM combinations in urban parks. The source apportionment indicated that industrial and traffic emissions were the most important sources of the pollutant combinations in urban parks, with traffic emissions accounting for most of the pollution.
有机污染物和无机污染物通常在土壤中共沉积，并且在城市环境中具有相同的来源。 识别复合污染物的来源和分布是风险管理的基本步骤。 在这项研究中，测量了北京城市公园土壤中的多环芳烃（PAHs）和重金属（HMs）水平。 双变量局部 Moran's I 和正定矩阵因子分解（PMF）源解析用于识别 PAHs 和 HMs 的空间聚类模式和潜在来源，并最终定义污染风险控制区域。 结果表明，公园土壤中的 PAHs 和 HMs 呈明显的聚集分布。 高-高地区被定义为含有复杂污染物混合物的地点，主要位于北京中心和北部。 高高和低高地区位于市中心以外，但具有潜在的复合污染，因此需要持续关注。 双变量空间关联局部指标（LISA）能够更准确地分析控制城市公园中 PAH 和 HM 组合空间分布的机制。 源解析表明，工业和交通排放是城市公园中污染物组合的最重要来源，其中交通排放占大部分污染。
