Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education; Research Center for Air Pollution and Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, PR China.
Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education; Research Center for Air Pollution and Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, PR China; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Environ Pollut. 2021 Apr 1;274:116523. doi: 10.1016/j.envpol.2021.116523. Epub 2021 Jan 18.
With the implementation of clean air strategies, PM pollution abatement has been observed in the "2 + 26" cities in the Beijing-Tianjin-Hebei (BTH) region (referred to as the BTH2+26) and their surrounding areas. To identify the drivers for PM concentration decreases in the BTH2+26 cites from the 2016/17 heating season (HS1617) to the 2017/18 heating season (HS1718), we investigated the contributions of meteorological conditions and emission-reduction measures by Community Multi-Scale Air Quality (CMAQ) model simulations. The source apportionments of five sector sources (i.e., agriculture, industry, power plants, traffic and residential), and regional sources (i.e., local, within-BTH: other cities within the BTH2+26 cities, outside-BTH, and boundary conditions (BCON)) to the PM decreases in the BTH2+26 cities were estimated with the Integrated Source Apportionment Method (ISAM). Mean PM concentrations in the BTH2+26 cities substantially decreased from 77.4 to 152.5 μg m in HS1617 to 52.9-101.9 μg m in HS1718, with the numbers of heavy haze (daily PM ≥150 μg m) days decreasing from 17-77 to 5-30 days. The model simulation results indicated that the PM concentration decreases in most of the BTH2+26 cities were attributed to emission reductions (0.4-55.0 μg m, 2.3-81.6% of total), but the favorable meteorological conditions also played important roles (1.9-25.4 μg m, 18.4-97.7%). Residential sources dominated the PM reductions, leading to decreases in average PM concentrations by more than 30 μg m in severely polluted cities (i.e., Shijiazhuang, Baoding, Xingtai, and Beijing). Regional source analyses showed that both local and within-BTH sources were significant contributors to PM concentrations for most cities. Emission controls in local and within-BTH sources in HS1718 decreased the average PM concentrations by 0.1-47.2 μg m and 0.3-22.1 μg m, respectively, relative to those in HS1617. Here we demonstrate that a combination of favorable meteorological conditions and anthropogenic emission reductions contributed to the improvement of air quality from HS1617 to HS1718 in the BTH2+26 cities.
随着清洁空气策略的实施,京津冀地区(简称 BTH)的“2+26”城市及其周边地区的 PM 污染已得到缓解。为了确定从 2016/17 采暖季(HS1617)到 2017/18 采暖季(HS1718)期间 BTH2+26 城市 PM 浓度下降的驱动因素,我们通过社区多尺度空气质量模型(CMAQ)模拟研究了气象条件和减排措施的贡献。利用综合源解析方法(ISAM),对五个部门源(农业、工业、电厂、交通和住宅)和区域源(本地、BTH 内:BTH2+26 城市以外的其他城市、BTH 外和边界条件(BCON))对 BTH2+26 城市 PM 减少的贡献进行了估计。BTH2+26 城市的 PM 浓度从 HS1617 年的 77.4μg/m 到 HS1718 年的 52.9-101.9μg/m 大幅下降,重霾(每日 PM≥150μg/m)天数从 17-77 天减少到 5-30 天。模型模拟结果表明,大部分 BTH2+26 城市的 PM 浓度下降归因于减排(0.4-55.0μg/m,占总减排量的 2.3-81.6%),但有利的气象条件也发挥了重要作用(1.9-25.4μg/m,占 18.4-97.7%)。住宅源是 PM 减少的主要来源,导致污染严重的城市(如石家庄、保定、邢台和北京)的平均 PM 浓度下降超过 30μg/m。区域源分析表明,对于大多数城市,本地和 BTH 内源都是 PM 浓度的重要贡献者。与 HS1617 相比,HS1718 年本地和 BTH 内源的排放控制分别使平均 PM 浓度降低了 0.1-47.2μg/m 和 0.3-22.1μg/m。在这里,我们证明了有利的气象条件和人为排放减少的结合促进了 BTH2+26 城市从 HS1617 到 HS1718 空气质量的改善。