Chen Rui, Jia Bin, Tian Yingze, Feng Yinchang
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350 China.
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350 China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300074, China.
Ecotoxicol Environ Saf. 2021 Apr 6;216:112167. doi: 10.1016/j.ecoenv.2021.112167.
The health effects of PM associated heavy metals have caused wide public concern. To more accurately assess source-specific health risks of PM-bound heavy metals, and to formulate a cost-effective control strategy to health risk reduction, it is necessary to have a better understanding of the temporal variation of source-specific health risks. For this purpose, hourly PM and associated heavy metals were measured during four seasons in 2018-2019 in a Chinese megacity. A method integrating positive matrix factorization (PMF) with the health risk assessment model was used to quantify the source-specific health risks. Results showed that the total hazard index (HI) of PM-bound heavy metals was 1.35, higher than the safety level, the sum cancer risks (R) of carcinogenic elements (Cr, Co, Ni and As) were 2.8 × 10, implying nonnegligible risks. Industrial source 1 (61.3%), which was related with Mn posed the largest non-cancer risk, while coal combustion (36.1%) and industrial source 1 (34.9%) posed most of the cancer risk, and slightly fluctuated with seasons. Health risks of most resolved sources were higher in autumn and winter than in other seasons. In terms of the diurnal variation, they were the lowest in the afternoon. Besides, the health risks of vehicle source had a peak value in rush hours. Different scenarios were simulated to understand the influences of time resolutions and sampling periods on source-specific risk assessment. The results showed the cancer risks of coal combustion and industrial source 1 calculated from the dataset with reduced sampling periods were different from those calculated from the whole dataset. We conclude that source-specific health risks of heavy metals show seasonal and diurnal variations, which suggests that targeted strategies should be adopted on the basis of seasonal and diurnal cycles to protect public health. In addition, a sufficient sampling period is required to generate representative and reliable results for source-specific health risk assessment.
与细颗粒物(PM)相关的重金属对健康的影响已引起公众广泛关注。为了更准确地评估细颗粒物结合态重金属的特定来源健康风险,并制定具有成本效益的降低健康风险控制策略,有必要更好地了解特定来源健康风险的时间变化。为此,于2018 - 2019年在中国一个特大城市的四个季节期间对每小时的细颗粒物及其相关重金属进行了测量。采用将正定矩阵因子分解法(PMF)与健康风险评估模型相结合的方法来量化特定来源的健康风险。结果表明,细颗粒物结合态重金属的总危害指数(HI)为1.35,高于安全水平,致癌元素(铬、钴、镍和砷)的总致癌风险(R)为2.8×10,意味着风险不可忽视。与锰相关的工业源1(占61.3%)构成最大的非致癌风险,而煤炭燃烧(占36.1%)和工业源1(占34.9%)构成了大部分致癌风险,且随季节略有波动。大多数解析源的健康风险在秋季和冬季高于其他季节。就日变化而言,下午风险最低。此外,移动源的健康风险在高峰时段有一个峰值。模拟了不同情景以了解时间分辨率和采样周期对特定源风险评估的影响。结果表明,从采样周期缩短的数据集中计算出的煤炭燃烧和工业源1的致癌风险与从完整数据集中计算出的不同。我们得出结论,重金属特定源健康风险呈现季节性和日变化,这表明应根据季节和日循环采取针对性策略以保护公众健康。此外,需要足够的采样周期来生成特定源健康风险评估的代表性和可靠结果。