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京津冀地区机动车细颗粒物污染的健康影响分析
摘要点击 2153  全文点击 758  投稿时间:2023-02-14  修订日期:2023-05-03
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中文关键词  PM2.5  机动车污染  健康风险  经济损失  京津冀
英文关键词  PM2.5  vehicle pollution  health risk  economic losses  the Beijing-Tianjin-Hebei Region
作者单位E-mail
郝永佩 山西财经大学资源环境学院, 太原 030006 haoyongpei@sxufe.edu.cn 
宋晓伟 山西财经大学资源环境学院, 太原 030006 songxiaowei@sxufe.edu.cn 
朱晓东 南京大学环境学院, 污染控制与资源化研究国家重点实验室, 南京 210046  
王京伟 山西财经大学资源环境学院, 太原 030006  
程鹏 山西财经大学资源环境学院, 太原 030006  
中文摘要
      机动车尾气排放对城市空气污染的影响日益严峻,而对特定污染源大气污染排放特征及健康影响进行评估可以为环境空气质量管理提供科学依据.以PM2.5为研究对象,分析京津冀地区2010~2020年机动车污染排放特征、导致的健康效应与经济损失.结果表明,2010~2020年间京津冀地区机动车PM2.5排放量呈现先逐年递增后缓慢下降的趋势;不同车型污染物排放贡献率显示,重型货车和重型客车为PM2.5主要贡献车型;不同城市机动车污染物排放特征存在差异,北京市污染物贡献率下降幅度明显,其余城市污染减排也不容忽视.机动车PM2.5污染对人群健康影响的评估结果表明,京津冀地区各健康终端发生人数总体呈上升趋势,其中,2020年PM2.5污染造成约34337人(95% CI:9025~57209人)早逝、4.55万人(95% CI:1.08~8.02万人)住院、28.23万人(95% CI:14.05~41.63万人)门诊及43.90万人(95% CI:16.03~67.92万人)患病;研究期间(2010、2015和2020年)机动车PM2.5污染导致的健康经济总损失分别为277.42亿元(95% CI:86.16~446.43亿元)、906.08亿元(95% CI:284.76~1440.50亿元)和1299.65亿元(95% CI:408.29~2052.45亿元);由于机动车保有量、PM2.5浓度、人口数量及健康终端单位经济损失的差异导致区域内不同城市健康效应与经济损失存在差异,其中北京、天津、保定和唐山市要高于其他城市,健康风险与经济损失问题相对突出.
英文摘要
      Vehicle exhaust emissions are posing an increasingly adverse impact on urban air quality. The emission characteristics analysis and health effect assessment of specific air pollution sources can provide scientific evidence for environmental air quality management. The characteristics and health effects of PM2.5 emissions from vehicles and economic losses caused by them in the Beijing-Tianjin-Hebei Region were analyzed from 2010 to 2020. From 2010 to 2020, PM2.5 emissions from vehicles in the Beijing-Tianjin-Hebei Region showed an annual increase at first, followed by a slow decrease. According to the emission sharing ratios of different vehicle types, heavy-duty trucks and buses were the main contributors to PM2.5, with a total contribution rate of over 65.27%. The emission characteristics of vehicle pollutants varied in different cities. The contribution rate of pollutants in Beijing decreased significantly, and the emission reduction in other cities was also dramatic. The evaluation results of the impact of PM2.5 emissions from vehicles on human health showed that the number of health endpoints in the Beijing-Tianjin-Hebei Region was on the rise. In 2020, PM2.5 pollution caused approximately 34337 premature deaths (95% CI:9025-57209), 45500 hospitalizations (95% CI:10800-80200), 282300 outpatients (95% CI:140500-416300), and 439000 people to fall ill (95% CI:160300-679200). Beijing had the largest number of patients that presented different health endpoints. The total health and economic losses caused by PM2.5 emissions from vehicles in 2010, 2015, and 2020 were 27.742 billion yuan (95% CI:8.616-44.643 billion yuan), 90.608 billion yuan (95% CI:28.476-144.050 billion yuan), and 129.965 billion yuan (95% CI:40.829-205.245 billion yuan), respectively. In addition, due to the differences in vehicle ownership, PM2.5 concentrations, population, and economic losses per case of health outcome, the health effects and economic losses varied in different cities within the region. Among these cities, Beijing, Tianjin, Baoding, and Tangshan were at higher health risks and suffered more economic losses. The results of this study will help reduce the adverse effects on health and economic losses caused by pollution discharge and provide scientific evidence for environmental protection authorities to implement targeted pollution prevention and control.

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