Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 510034, China.
School of Business Administration, Zhejiang University of Finance & Economics Dongfang College, Haining 314408, China.
Int J Environ Res Public Health. 2020 Sep 16;17(18):6735. doi: 10.3390/ijerph17186735.
The high-precision mapping of urban health risk is a difficult problem due to the high heterogeneity of the urban environment. In this paper, the spatial distribution characteristics of the Polycyclic Aromatic Hydrocarbon (PAH) content in the urban soil of Shenzhen City were analyzed through a field investigation. We propose an approach for improving the accuracy and spatial resolution of PAH carcinogenic risk assessment by integrating the pollutant distribution and Location Based Service (LBS) data. The results showed that the concentration of PAHs in the high-density urban area was 271.67 ng g, which was 27.2% higher than that in the green area. Although the average carcinogenic risk of PAHs in the surface soil of Shenzhen city was less than 10, the maximum carcinogenic risk at some sample sites exceeded 10, which indicates a potential health risk. The LBS data were effective for high-precision mapping of the population distribution. According to the combination relationship between the risk threshold of pollutants and the population density, four types of risk zones were proposed. Among them, 6.9% of the areas had a high-risk and high population density and 15.8% of the areas were high-risk with a low population density. These two kinds of zones were the critical areas for controlling risk. The fine-scale risk mapping approach for determining the carcinogenic risk of soil PAHs integrating pollutant distribution and location based service data was demonstrated to be a useful tool for explicit spatial risk management. This tool could provide spatial insights and decision support for urban health-risk management and pollution prevention.
城市健康风险的高精度制图是一个难题,因为城市环境的高度异质性。本文通过实地调查,分析了深圳市城市土壤中多环芳烃(PAH)含量的空间分布特征。我们提出了一种通过整合污染物分布和基于位置的服务(LBS)数据来提高 PAH 致癌风险评估准确性和空间分辨率的方法。结果表明,高密度城区 PAHs 浓度为 271.67ng/g,比绿地高 27.2%。尽管深圳市地表土壤中 PAHs 的平均致癌风险小于 10,但在一些采样点的最大致癌风险超过了 10,这表明存在潜在的健康风险。LBS 数据可有效进行高精度的人口分布制图。根据污染物风险阈值与人口密度的组合关系,提出了四种风险区类型。其中,6.9%的区域具有高风险和高人口密度,15.8%的区域具有高风险和低人口密度。这两种类型的区域是控制风险的关键区域。本研究提出的基于污染物分布和基于位置的服务数据的土壤 PAHs 致癌风险精细尺度风险制图方法,为明确的空间风险管理提供了一种有用的工具。该工具可为城市健康风险管理和污染防治提供空间洞察力和决策支持。