Wang Yiyi, Li Zenghui, Qian Fuping, Huang Conghong, Hu Jianlin
School of Energy and Environment, Anhui University of Technology, Maanshan, 243002, China.
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
Environ Pollut. 2025 Sep 15;381:126565. doi: 10.1016/j.envpol.2025.126565. Epub 2025 May 28.
Epidemiological studies have consistently demonstrated a strong association between air pollution and human health. However, the current Air Quality Index (AQI) methodology used in China has been criticized for relying solely on the maximum concentration of a single pollutant, thereby failing to reflect the cumulative health impact of multiple pollutants. This study evaluated the effectiveness of three alternative indices-the Health Risk-Based Air Quality Index (HAQI), the Air Quality Health Index, and the Air Pollution Index (API)-in characterizing multi-pollutant air quality across China from 2014 to 2023. Our analysis indicates that the AQI underestimates health risks in regions with simultaneous exceedances of multiple pollutants, particularly in the North China Plain. Moreover, pollutants such as SO and CO contributed minimally to the overall AQI, whereas the excess risk (ER) value offered a more comprehensive representation of the health risks posed by all pollutants. The findings also show that HAQI and API more effectively captured seasonal variation in pollution levels and outperformed AQI in assessing the severity of health risks during episodes of severe air pollution. In conclusion, the study underscores the need for more stringent measures during high pollution events, beyond those currently recommended under the AQI framework.
流行病学研究一直表明空气污染与人类健康之间存在紧密联系。然而,中国目前使用的空气质量指数(AQI)方法因仅依赖单一污染物的最大浓度而受到批评,从而未能反映多种污染物对健康的累积影响。本研究评估了三种替代指数——基于健康风险的空气质量指数(HAQI)、空气质量健康指数和空气污染指数(API)——在表征2014年至2023年中国多污染物空气质量方面的有效性。我们的分析表明,AQI低估了多种污染物同时超标地区的健康风险,尤其是在华北平原。此外,诸如SO和CO等污染物对整体AQI的贡献极小,而超额风险(ER)值更全面地反映了所有污染物带来的健康风险。研究结果还表明,HAQI和API更有效地捕捉了污染水平的季节性变化,并且在评估严重空气污染事件期间的健康风险严重程度方面优于AQI。总之,该研究强调在高污染事件期间需要采取比AQI框架目前建议的更为严格的措施。