• 关键词：污染减排  新型冠状病毒肺炎  空气质量  WRF-CMAQ模型  控制措施  广州

• 基金项目：广东省科技计划项目（科技创新平台类）（No.2019B121201002）；南方海洋科学与工程广东省实验室（珠海）创新团队建设项目（No.311021001）；无人机集群高精度快速溯源项目（No.2130218003008）

• 黄若琳
• 华南理工大学环境与能源学院，广东省大气环境与污染控制重点实验室，广州 510006

• 朱云
• 华南理工大学环境与能源学院，广东省大气环境与污染控制重点实验室，广州 510006

• 张冰瑶
• 华南理工大学环境与能源学院，广东省大气环境与污染控制重点实验室，广州 510006

• 王韶翊
• 华南理工大学环境与能源学院，广东省大气环境与污染控制重点实验室，广州 510006

• 袁颖枝
• 华南理工大学环境与能源学院，广东省大气环境与污染控制重点实验室，广州 510006

• 黎杰
• 华南理工大学环境与能源学院，广东省大气环境与污染控制重点实验室，广州 510006

• 游志强
• 华云创信（广东）生态环境科技有限公司，佛山 528000

• 摘要：自2017年《广州市空气质量达标规划》实施以来，广州空气质量大幅改善并于2020年首次实现全面达标，评估《规划》中本地污染减排措施实施成效可为后续大气污染防治提供参考.本研究基于各种减排情景的排放核算结果，综合运用空气质量模型模拟和数据融合技术，量化评估了本地污染减排措施、新冠疫情防控工作、周边排放控制及气象条件变化4种影响因素对2017—2020年广州市空气质量改善的贡献. 评估结果显示，本地污染减排措施是2017—2020年SO₂、NO₂、PM₁₀及PM_2.5浓度下降的主导因素，其浓度削减贡献分别为53.58%、31.60%、34.24%及30.82%；疫情防控工作的浓度削减贡献在初期较大，但在后期随着复工复产而减弱；周边减排空气质量改善效果弱于本地污染减排；气象条件变化对各污染物浓度下降均存在正贡献，且对O₃浓度削减的贡献（81.96%）尤为显著.

• Abstract：Since the publicly releasing of the Guangzhou Air Quality Compliance Plan （GAQCP） in 2017， the air quality in Guangzhou had been significantly improved， with all the air quality indices attaining standards for the first time in 2020. Qualifying the impact of the local emission control measures in GAQCP would provide critical references for subsequent air pollution control policy-making. In this study， the emission reductions caused by three anthropogenic factors， including reductions contributed by the local emission control measures， the COVID-19 shutdown， and the emission control in neighboring cities， were first estimated. The associated estimates were then applied to quantify the contributions of these three anthropogenic factors and the meteorological variation to the air quality improvement in Guangzhou from 2017 to 2020 by using the WRF-CMAQ and the SMAT-CE. The results showed that the implementation of local emission control measures was the dominant factor in SO₂， NO₂， PM₁₀， and PM_2.5 concentration decreases during 2017—2020， with contributions of 53.58%， 31.60%， 34.24%， and 30.82%， respectively. The contributions of the COVID-19 shutdown to the pollutant concentration decreases were significant in the early period but then declined as the industrial and manufacturing activities recovered. The emission reduction in neighboring cities was less beneficial to air quality improvement compared with the local emission control measures. The changes in meteorological conditions had positive effects on all the pollutant concentration decreases， with significant contributions to the O₃ concentration reductions （81.96%）.

• Key words：emission reduction  COVID-19  air quality  WRF-CMAQ model  control measures  Guangzhou

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