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中国南京和扬州细颗粒物健康风险的计算与实验评估。

Computational and experimental assessment of health risks of fine particulate matter in Nanjing and Yangzhou, China.

机构信息

Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing, 210044, China.

Sheyang Meteorological Bureau, Yancheng, 224300, Jiangsu, China.

出版信息

Environ Sci Pollut Res Int. 2023 Dec;30(58):122497-122507. doi: 10.1007/s11356-023-30927-5. Epub 2023 Nov 16.

Abstract

Fine particulate matter (PM) is a major air pollutant in most cities of China, and poses great health risks to local residents. In this study, the health effects of PM in Nanjing and Yangzhou were compared using computational and experimental methods. The global exposure mortality model (GEMM), including the results of a cohort study in China, was used to estimate the disease-related risks. Premature mortality attributable to PM exposure were markedly higher in Nanjing than that in Yangzhou at comparable levels of PM (8191 95% CI, 6975-9994 vs. 6548 95% CI, 5599-8049 in 2015). However, the baseline mortality rate was on a country-level and the age distribution was on a province-level, traditional estimation method could not accurately represent the health burdens of PM on a city-level. We proposed a refined calculation method which based on the actual deaths of each city and the disease death rates. Conversely, similar concentrations of PM exposure resulted in higher actual deaths per million population in Yangzhou (1466 95% CI, 1266-1746) than that in Nanjing (1271 95% CI, 1098-1514). Health risks of PM are associated with the generation of reactive oxygen species, among which hydroxyl radial (·OH) is the most reactive one. We then collected these PM samples and quantified the induced ·OH. Consistently, average ·OH concentration in 2015 was higher in Yangzhou than that in Nanjing, again indicating that PM in Yangzhou was more toxic. The combination of computational and experimental methods demonstrated the complex relationship between health risks and PM concentrations. The refined estimation method could help us better estimate and interpret the risks caused by PM exposure on a city-level.

摘要

细颗粒物(PM)是中国大多数城市的主要空气污染物,对当地居民的健康构成巨大威胁。本研究采用计算和实验方法比较了南京和扬州的 PM 健康效应。全球暴露死亡率模型(GEMM)包括中国的一项队列研究结果,用于估计与疾病相关的风险。在可比的 PM 水平下,南京归因于 PM 暴露的过早死亡率明显高于扬州(2015 年,8191 95%CI,6975-9994 比 6548 95%CI,5599-8049)。然而,基线死亡率是国家层面的,年龄分布是省级层面的,传统的估计方法不能准确地代表城市层面 PM 对健康的负担。我们提出了一种基于每个城市实际死亡人数和疾病死亡率的精细计算方法。相反,在类似的 PM 暴露浓度下,扬州每百万人口的实际死亡人数(1466 95%CI,1266-1746)高于南京(1271 95%CI,1098-1514)。PM 的健康风险与活性氧的产生有关,其中羟基自由基(·OH)是最具反应性的。然后我们收集了这些 PM 样本并对诱导的·OH 进行了定量。一致地,2015 年扬州的平均·OH 浓度高于南京,这再次表明扬州的 PM 毒性更大。计算和实验方法的结合证明了健康风险与 PM 浓度之间的复杂关系。精细的估计方法可以帮助我们更好地估计和解释城市层面 PM 暴露引起的风险。

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