Zhang Yan, Guo Zhaohui, Peng Chi, He Yalei
Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, People's Republic of China.
Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, People's Republic of China.
Sci Total Environ. 2023 Aug 20;887:163833. doi: 10.1016/j.scitotenv.2023.163833. Epub 2023 May 5.
The high heterogeneity of land uses in urban areas has led to large spatial variations in the contents and health risks of polycyclic aromatic hydrocarbons (PAHs) in soils. A land use-based health risk assessment (LUHR) model was proposed for soil pollution on a regional scale by introducing a land use-based weight factor, which considered the differences in exposure levels of soil pollutants to receptor populations between land uses. The model was applied to assess the health risk posed by soil PAHs in the rapidly industrializing urban agglomeration of Changsha-Zhuzhou-Xiangtan Urban Agglomeration (CZTUA). The mean concentration of total PAHs (∑PAHs) in CZTUA was 493.2 μg/kg, and their spatial distribution was consistent with emissions from industry and vehicles. The LUHR model suggested the 90th percentile health risk value was 4.63 × 10, which was 4.13 and 1.08 times higher than those of traditional risk assessments that have adopted adults and children as default risk receptors, respectively. The risk maps of LUHRs showed that the ratios of the area exceeding the risk threshold (1 × 10) to the total area were 34.0 %, 5.0 %, 3.8 %, 2.1 %, and 0.2 % in the industrial area, urban green space, roadside, farmland, and forestland, respectively. The LUHR model back-calculated the soil critical values (SCVs) for ∑PAHs under different land uses, resulting in values of 6719, 4566, 3224, and 2750 μg/kg for forestland, farmland, urban green space, and roadside, respectively. Compared with the traditional health risk assessment models, this LUHR model identified high-risk areas and drew risk contours more accurately and precisely by considering both the spatial variances of soil pollution and their exposure levels to different risk receptors. This provides an advanced approach to assessing the health risks of soil pollution on a regional scale.
城市地区土地利用的高度异质性导致土壤中多环芳烃(PAHs)的含量及其健康风险存在很大的空间差异。通过引入基于土地利用的权重因子,提出了一种用于区域尺度土壤污染的基于土地利用的健康风险评估(LUHR)模型,该权重因子考虑了不同土地利用类型下土壤污染物对受体人群暴露水平的差异。该模型被应用于评估快速工业化的长株潭城市群(CZTUA)土壤PAHs所造成的健康风险。CZTUA中总PAHs(∑PAHs)的平均浓度为493.2μg/kg,其空间分布与工业和车辆排放一致。LUHR模型表明第90百分位数的健康风险值为4.63×10,分别比采用成人和儿童作为默认风险受体的传统风险评估值高4.13倍和1.08倍。LUHRs的风险地图显示,在工业区、城市绿地、路边、农田和林地中,超过风险阈值(1×10)的面积占总面积的比例分别为34.0%、5.0%、3.8%、2.1%和0.2%。LUHR模型反算出不同土地利用类型下∑PAHs的土壤临界值(SCVs),林地、农田、城市绿地和路边的临界值分别为6719、4566、3224和2750μg/kg。与传统健康风险评估模型相比,该LUHR模型通过考虑土壤污染的空间差异及其对不同风险受体的暴露水平,更准确、精确地识别了高风险区域并绘制了风险等值线。这为区域尺度土壤污染健康风险评估提供了一种先进方法。