College of Geographical Science, Shanxi Normal University, Linfeng, 041000, China; Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China.
School of Ecology and Environment, YuZhang Normal University, Nanchang, 330022, China.
Chemosphere. 2022 May;294:133814. doi: 10.1016/j.chemosphere.2022.133814. Epub 2022 Feb 1.
North China, the political, economic, and cultural center of China, has been greatly harmed by frequent air pollution incidents. Therefore, it is vital to study air pollution characteristics and clarify their impact on human health. In this study, we first analyzed the spatiotemporal variations of air pollutants (PM, PM, CO, SO, NO, and O) in North China from 2016 to 2019. Then, the air quality index (AQI), aggregate air quality index (AAQI), and health risk based air quality index (HAQI) were used to assess health risks. Based on these, the AirQ model was used to quantify health effects. The results showed that the major pollutant in the cities surrounding Beijing was PM, while PM dominated in distant cities. Annual concentrations decreased (except for O), which is related to governmental emission reduction policies. However, O concentrations increased owing to the complex precursor emissions. The AQI underestimated air pollution, while the AAQI and HAQI were accurate; the latter indicated that 55% of the study region population was exposed to polluted air. The AirQ model quantified the total mortality proportions attributable to PM, PM, SO, CO, NO, and O, which were 1.87%, 3.12%, 1.11%, 1.40%, 4.19%, and 2.52%, respectively. In high concentrations, PM and PM pose significant health risks. The health effects of SO, NO, CO, and O at lower concentrations were more obvious, indicating that the expected mortality rate due to low concentrations of some pollutants was much higher than that due to high concentrations of other pollutants.
华北地区是中国的政治、经济和文化中心,频繁发生的空气污染事件对其造成了严重影响。因此,研究空气污染特征及其对人体健康的影响至关重要。本研究首先分析了 2016 年至 2019 年华北地区空气污染物(PM、PM、CO、SO、NO 和 O)的时空变化。然后,采用空气质量指数(AQI)、综合空气质量指数(AAQI)和基于健康风险的空气质量指数(HAQI)评估健康风险。在此基础上,利用 AirQ 模型量化健康效应。结果表明,北京周边城市的主要污染物是 PM,而偏远城市则以 PM 为主。除 O 外,各项污染物的年浓度均呈下降趋势,这与政府的减排政策有关。然而,由于复杂的前体排放,O 的浓度有所增加。AQI 低估了空气污染程度,而 AAQI 和 HAQI 则更为准确;后者表明研究区域 55%的人口暴露在污染空气中。AirQ 模型量化了 PM、PM、SO、CO、NO 和 O 导致的总死亡率比例,分别为 1.87%、3.12%、1.11%、1.40%、4.19%和 2.52%。在高浓度下,PM 和 PM 对健康构成重大威胁。SO、NO、CO 和 O 在低浓度下的健康影响更为明显,这表明由于某些污染物低浓度造成的预期死亡率要远高于其他污染物高浓度造成的预期死亡率。