Tu Pei-Yue, Yang Huan, Chen Lan-Zhou, Niu Xiao-Xiao, Yang Lu, Yi Jia-Hui, Ke Bi-Qin, Tian Ya, Ye Zhi-Xiang, Mei Xin, Hong Song, He Chao
Key Laboratory of Geographic Information System, Ministry of Education, School of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, China.
Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China.
Huan Jing Ke Xue. 2023 Nov 8;44(11):5954-5963. doi: 10.13227/j.hjkx.202210266.
Based on the monitoring data of five pollutants in 168 key cities under air pollution prevention and control in China from 2015 to 2020, using the MAKESENS model and the aggregate risk index(ARI), this study quantitatively analyzed the spatial and temporal distribution characteristics of air pollution and health risks in China and the six urban agglomerations. The results showed that:① PM pollution was the most serious pollution in Chinese key cities. Only 15% of the cities' six-year average concentrations of PM reached the National Secondary Standard, followed by that of NO; 77% of the cities' six-year average concentrations of NO reached the National Secondary Standard. The urban agglomerations of Beijing-Tianjin-Hebei and Fenwei plain had the most serious air pollution, and the six-year average concentrations of PM, SO, CO, and NO were higher than those of other urban agglomerations. ② The concentrations of PM, SO, CO, and NO in key cities of China showed a decreasing trend, whereas the concentration of O in other urban agglomerations showed an increasing trend, except in the Chengdu-Chongqing urban agglomeration. The concentration of SO in the urban agglomerations of Beijing-Tianjin-Hebei and Fenwei plain changed the most significantly. ③ The health risk of air pollution in the key cities of China generally showed a decreasing trend, with a sharp decline from 2017 to 2018, and the population exposed to extremely high risks dropped from 160 million to 32.54 million. The urban agglomeration in the middle reaches of the Yangtze River had the most significant decline in health risks, whereas the key cities in China faced higher health risks in spring and winter seasons. ④ The Beijing-Tianjin-Hebei and Fenwei plain urban agglomerations had the highest health risks, and the urban agglomeration in the middle reaches of the Yangtze River had the lowest; O gradually replaced PM as the main pollutant affecting the health risk. These results can provide a reference for evaluating the effectiveness of urban air pollution control in China during the 13th Five-Year Plan period.
基于2015年至2020年中国大气污染防治重点区域168个城市的5种污染物监测数据,运用MAKESENS模型和综合风险指数(ARI),本研究定量分析了中国及六大城市群空气污染和健康风险的时空分布特征。结果表明:①PM污染是中国重点城市中最严重的污染。只有15%的城市PM六年平均浓度达到国家二级标准,其次是NO;77%的城市NO六年平均浓度达到国家二级标准。京津冀和汾渭平原城市群空气污染最为严重,PM、SO、CO和NO的六年平均浓度高于其他城市群。②中国重点城市的PM、SO、CO和NO浓度呈下降趋势,而除成渝城市群外,其他城市群的O浓度呈上升趋势。京津冀和汾渭平原城市群的SO浓度变化最为显著。③中国重点城市空气污染的健康风险总体呈下降趋势,2017年至2018年急剧下降,暴露于极高风险的人口从1.6亿降至3254万。长江中游城市群的健康风险下降最为显著,而中国重点城市在春季和冬季面临较高的健康风险。④京津冀和汾渭平原城市群的健康风险最高,长江中游城市群的健康风险最低;O逐渐取代PM成为影响健康风险的主要污染物。这些结果可为评估“十三五”期间中国城市空气污染控制的有效性提供参考。