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2013-2018 年中国北京地区 PM 空气质量的时空变异性。

Spatial-temporal variability of PM air quality in Beijing, China during 2013-2018.

机构信息

Department of Civil and Environmental Engineering, University of Windsor, 401 Sunset Ave, Windsor, Ontario, N9B 3P4, Canada.

Department of Civil and Environmental Engineering, University of Windsor, 401 Sunset Ave, Windsor, Ontario, N9B 3P4, Canada.

出版信息

J Environ Manage. 2020 May 15;262:110263. doi: 10.1016/j.jenvman.2020.110263. Epub 2020 Feb 25.

Abstract

This study investigates spatial-temporal variability and trends of ambient PM in Beijing, China, using data collected from eight urban and four suburban stations. During 2013-2018, the city-wide annual PM concentrations decreased significantly by 40% (84 μg/m in 2013 vs. 50 μg/m in 2018). The decreasing PM trend is more pronounced in winter and during the heating season (November-March), in urban areas, and at the median and upper percentiles of PM concentrations. The 95th percentile PM concentrations had decreased by 20 μg/m/yr in the heating season and 16 μg/m/yr in the non-heating season. During the six-year study period, there was a significant increase in excellent air quality days (PM concentration < 35 μg/m) and a significant decrease in heavy pollution days (PM concentration > 150 μg/m). PM concentrations were strongly correlated across the 12 stations. Urban areas in south Beijing experienced higher PM levels than suburban sites at every hour-of-day, day-of-week, and month-of-year. PM levels were higher during winter and the heating season, when PM emission was high due to space heating and mixing layer heights were low. PM was higher at weekends than during weekdays, when 20% of private passenger vehicles are prohibited, and higher at night than during the day, when heavy duty delivery vehicles are not permitted. These temporal and spatial trends suggest that Beijing's PM is strongly impacted by local emissions. Our results indicate, control strategies implemented were successful in Beijing's air quality improvement, but further reduction of PM concentrations in Beijing could be challenging due to significant contribution from its neighboring cities, calling for comprehensive and collaborative efforts in regional/national scale.

摘要

本研究利用 2013 年至 2018 年在北京八个城区和四个郊区站点采集的数据,调查了大气 PM 的时空变化和趋势。在此期间,全市年平均 PM 浓度显著下降了 40%(2013 年为 84μg/m³,2018 年为 50μg/m³)。在冬季和供暖季(11 月至 3 月),在城区,以及在 PM 浓度的中位数和较高百分位数处,PM 下降趋势更为明显。在供暖季,95%分位 PM 浓度每增加 20μg/m/yr,非供暖季每增加 16μg/m/yr。在六年的研究期间,空气质量优良天数(PM 浓度 < 35μg/m)显著增加,重度污染天数(PM 浓度 > 150μg/m)显著减少。在这六年的研究期间,空气质量优良天数(PM 浓度 < 35μg/m)显著增加,重度污染天数(PM 浓度 > 150μg/m)显著减少。在这六年的研究期间,空气质量优良天数(PM 浓度 < 35μg/m)显著增加,重度污染天数(PM 浓度 > 150μg/m)显著减少。在这六年的研究期间,空气质量优良天数(PM 浓度 < 35μg/m)显著增加,重度污染天数(PM 浓度 > 150μg/m)显著减少。在这六年的研究期间,空气质量优良天数(PM 浓度 < 35μg/m)显著增加,重度污染天数(PM 浓度 > 150μg/m)显著减少。PM 浓度在 12 个站点之间具有很强的相关性。在一天中的每小时、一周中的每一天和一年中的每个月,北京南部城区的 PM 水平都高于郊区站点。冬季和供暖季 PM 水平较高,因为此时由于空间供暖导致 PM 排放较高,混合层高度较低。周末的 PM 水平高于工作日,因为此时有 20%的私家车被禁止上路,夜间的 PM 水平高于白天,因为此时重型货车被禁止上路。这些时间和空间趋势表明,北京的 PM 受到当地排放的强烈影响。我们的结果表明,在北京空气质量改善方面,所实施的控制策略是成功的,但由于其邻近城市的显著贡献,北京进一步降低 PM 浓度可能具有挑战性,这需要在区域/国家范围内进行全面和协作的努力。

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