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空气质量保障措施的量化评估——以杭州G20峰会为例

唐甲洁 陈敏东 高庆先 马占云 李迎新

唐甲洁, 陈敏东, 高庆先, 马占云, 李迎新. 空气质量保障措施的量化评估——以杭州G20峰会为例[J]. 环境工程技术学报, 2021, 11(1): 23-32. doi: 10.12153/j.issn.1674-991X.20200088
引用本文: 唐甲洁, 陈敏东, 高庆先, 马占云, 李迎新. 空气质量保障措施的量化评估——以杭州G20峰会为例[J]. 环境工程技术学报, 2021, 11(1): 23-32. doi: 10.12153/j.issn.1674-991X.20200088
TANG Jiajie, CHEN Mindong, GAO Qingxian, MA Zhanyun, LI Yingxin. Quantitative assessment of air quality guarantee measures: take G20 Summit in Hangzhou as an example[J]. Journal of Environmental Engineering Technology, 2021, 11(1): 23-32. doi: 10.12153/j.issn.1674-991X.20200088
Citation: TANG Jiajie, CHEN Mindong, GAO Qingxian, MA Zhanyun, LI Yingxin. Quantitative assessment of air quality guarantee measures: take G20 Summit in Hangzhou as an example[J]. Journal of Environmental Engineering Technology, 2021, 11(1): 23-32. doi: 10.12153/j.issn.1674-991X.20200088

空气质量保障措施的量化评估——以杭州G20峰会为例

doi: 10.12153/j.issn.1674-991X.20200088
详细信息
    作者简介:

    唐甲洁(1995—),女,硕士研究生,主要从事气候变化和环境影响研究,18262618975@163.com

    通讯作者:

    陈敏东 E-mail: 001126@nuist.edu.cn

  • 中图分类号: X51

Quantitative assessment of air quality guarantee measures: take G20 Summit in Hangzhou as an example

More Information
    Corresponding author: CHEN Mindong E-mail: 001126@nuist.edu.cn
  • 摘要: 选择杭州G20峰会保障措施实施期间的2016年8月24日—9月6日及其前后各14 d,分别确定为保障措施实施期间、实施前期与实施后期,对保障区域内主要大气污染物浓度变化进行分析,利用WRF/SMOKE/CMAQ模型对4类污染源(工业源、电厂源、扬尘源和道路移动源)设置6种减排情景,模拟计算并分析PM2.5和O3浓度变化,以评估强化环保措施对空气质量改善的成效。结果表明:1)研究期间杭州市各项污染物浓度呈起伏波动状,保障措施实施期间大部分时段污染物浓度峰谷差值明显比前期和后期小;NO2平均浓度表现为保障措施实施后期>前期>期间,保障措施对NO2减排效果显著;O3浓度表现为保障措施实施期间远高于前期与后期。2)与2015年同期相比,2016年保障措施实施期间,NO2、SO2、PM2.5、CO和PM10浓度在核心区和严控区下降,降幅表现为核心区>严控区>管控区;2016年核心区NO2、PM2.5、CO和PM10浓度均低于2017年;2016年相较2015年和2017年同期空气质量较好,不同力度的管控措施对空气质量的影响有差异,O3浓度变化规律与其他污染物浓度变化呈负相关。3)模拟对4类污染源都实施保障措施,核心区与严控区较强的管控措施执行力度使PM2.5浓度下降,O3浓度升高。4)模拟结果显示,对工业源做管控措施,能有效降低核心区与严控区PM2.5和O3排放;对电厂源或扬尘源实行管控措施只能略微抑制核心区与管控区PM2.5和O3排放;对道路移动源做减排措施,核心区与严控区O3浓度升幅较大。

     

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  • 收稿日期:  2020-04-14
  • 刊出日期:  2021-01-20

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