首页> 外文期刊>The Science of the Total Environment >Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM_2.5 concentration from winter 2016 to 2017 in Central and Eastern China
【24h】

Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM_2.5 concentration from winter 2016 to 2017 in Central and Eastern China

机译:评价中国中部和东部地区2016年至2017年冬季气象条件和排放变化对PM_2.5浓度大幅降低的贡献

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The monthly average PM_2.5 concentration decreased from 127.15 μg m~-3 in December 2016 to 85.54 μg m~-3 in December 2017 (approximately 33%) in Central and Eastern China (33°N-41°N, 113°E-118°E). This decrease is attributed to the combined impacts of meteorology and emission sources changes, though the question of which is more important has raised great concerns. Four sensitivity experiments based on the Global-Regional Assimilation and Prediction System coupled with the Chinese Unified Atmospheric Chemistry Environment (GRAPES-CUACE) model, together with comparative analysis of the observed meteorological conditions and emission inventory between 2016 and 2017, are used to evaluate the relative contributions of meteorology and emission to the substantial reductions of PM_2.5 concentration from December 2016 to December 2017. The results show that the meteorological conditions and emission in December 2017 were both beneficial to the PM2.5 decrease in Central and Eastern China. Regarding the entire region, 21.9% of the PM_2.5 decrease was a result of the favorable meteorological conditions, and 78.1% of the decrease was a result of emission reductions, showing the distinct contributions of emission reductions on the air quality. The relative contributions of meteorology varied from 12.2% to 50.9% to the PM_2.5 decrease from December 2016 to December 2017, while the emission contributed 49.1% to 87.8%, in different cities depending on geographical location and topography. Meteorology showed the largest contributions to the PM25 decrease from 2016 to 2017 in Beijing (BJ), which caused the greatest total decrease of PM_2.5 compared to that of other cities. In addition, in Central and Eastern China, the dominant factors of the decrease of PM_2.5 were favorable meteorological conditions (accounting for 98.2%) during clear periods and emission reductions (accounting for 72.5-81.2%) during pollution periods.
机译:中国中部和东部(33°N-41°N,113°E)的每月平均PM_2.5浓度从2016年12月的127.15μgm〜-3降至2017年12月的85.54μgm〜-3(约33%) -118°E)。这种减少归因于气象学和排放源变化的综合影响,尽管这一问题更为重要,引起了人们的极大关注。基于全球-区域同化和预测系统并结合中国统一大气化学环境(GRAPES-CUACE)模型的四个敏感性实验,以及对2016年至2017年观测到的气象条件和排放清单的比较分析,来评估从2016年12月到2017年12月,气象和排放量对PM_2.5浓度大幅降低的相对贡献。结果表明,2017年12月的气象条件和排放量均有利于中部和东部的PM2.5下降。就整个地区而言,PM_2.5下降21.9%是由于气象条件良好,而减排78.1%是由于排放量减少,显示出排放量减少对空气质量的明显贡献。气象的相对贡献从12.2%到50.9%不等,从2016年12月到2017年12月,PM_2.5下降,而排放量则在4城市中所占比例为49.1%至87.8%,具体取决于地理位置和地形。气象显示,北京(BJ)从2016年到2017年对PM25下降的贡献最大,与其他城市相比,这导致PM_2.5的总下降最大。此外,在中部和东部地区,PM_2.5下降的主要因素是晴天期间的有利气象条件(占98.2%)和污染期间的排放减少(占72.5-81.2%)。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第may10期|136892.1-136892.14|共14页
  • 作者单位

    State Key Laboratory of Severe Weather & Key Laboratory ofAtmospheric Chemistry ofCMA Chinese Academy of Meteorological Sciences Beijing China;

    State Key Laboratory of Severe Weather & Key Laboratory ofAtmospheric Chemistry ofCMA Chinese Academy of Meteorological Sciences Beijing China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of information Science & Technology Nanjing210044. China;

    State Key Laboratory of Severe Weather & Key Laboratory ofAtmospheric Chemistry ofCMA Chinese Academy of Meteorological Sciences Beijing China Center for Excellence in Regional Atmospheric Environment IUE Chinese Academy of Sciences Xiamen China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Central and Eastern China; Meteorological conditions; Emission; GRAPES-CUACE model; PM_2.5 concentration;

    机译:中国中部和东部;气象条件;排放;GRAPES-CUACE模型;PM_2.5浓度;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号