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Numerical simulation of atmospheric mercury in mid-south USA

机译:美国中南部大气汞的数值模拟

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摘要

As a continuation of our recent work that studied temporal patterns of atmospheric mercury (Hg) species in northern Mississippi during 2011–2012, we applied an air quality modeling system, the Community Multi-scale Air Quality (CMAQ), to evaluate model ability in capturing ambient concentration of atmospheric Hg in both summer and winter. The model captured well in the surface ozone and nitrogen dioxide concentrations for both summer and winter months. But it lacked skill in reproducing sulfur dioxide concentration, with significant overestimates in both summer and winter. The model underestimated weekly wet deposition of total Hg partly because of errors in precipitation from the meteorological model. The air quality model overestimated atmospheric ambient elemental Hg (GEM) concentration in summer and slightly underestimated it in winter. The model exhibited good skill in capturing seasonal variability of reactive gaseous mercury (GOM), while it produced a significant overestimate for particulate mercury (PBM) in both summer and winter. Sensitivity tests revealed that anthropogenic emissions had great influences on local/regional ambient concentrations of GEM, GOM, and PBM, with anthropogenic emissions, making a contribution of 10–20 % for ambient GEM, 20–40 % for GOM, and 40–60 % for PBM. The evident influence of anthropogenic sources on Hg concentration suggests that discrepancies between modeled and observed are partly attributable to the uncertainties associated with the anthropogenic emission inventory used in the air quality modeling system. In the future, model performance is expected to be improved by use of 2011 emission data.
机译:作为我们最近的研究(在2011-2012年期间研究密西西比州北部大气中汞(Hg)物种的时间模式)的延续,我们应用了空气质量建模系统“社区多尺度空气质量(CMAQ)”,以评估该模型的能力。可以在夏季和冬季捕获大气中汞的环境浓度。该模型在夏季和冬季都很好地捕获了表面臭氧和二氧化氮的浓度。但是它缺乏再现二氧化硫浓度的技巧,夏季和冬季都被高估了。该模型低估了每周的总Hg湿沉降量,部分原因是气象模型中的降水误差。空气质量模型在夏天高估了大气环境元素汞(GEM)的浓度,而在冬天则低估了它的浓度。该模型在捕获反应性气态汞(GOM)的季节性变化方面表现出了出色的技能,而在夏季和冬季,该模型都大大高估了颗粒汞(PBM)。敏感性测试显示,人为排放对人为排放的GEM,GOM和PBM的局部/区域环境浓度有很大影响,人为排放对环境GEM的贡献为10–20%,对GOM的贡献为20–40%和40–60 PBM为%。人为来源对汞浓度的明显影响表明,建模和观测值之间的差异部分归因于与空气质量建模系统中使用的人为排放清单相关的不确定性。未来,有望通过使用2011年的排放数据来改善模型性能。

著录项

  • 来源
    《Air quality, atmosphere & health》 |2014年第4期|525-540|共16页
  • 作者单位

    1.Department of Physics Atmospheric Sciences Geoscience Jackson State University Jackson MS 39217 USA;

    2.Department of Chemistry and Biochemistry University of Mississippi Oxford MS 38677 USA;

    2.Department of Chemistry and Biochemistry University of Mississippi Oxford MS 38677 USA;

    1.Department of Physics Atmospheric Sciences Geoscience Jackson State University Jackson MS 39217 USA;

    1.Department of Physics Atmospheric Sciences Geoscience Jackson State University Jackson MS 39217 USA;

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

    Air quality model; CMAQ; Wet deposition; Anthropogenic emission; Mississippi;

    机译:空气质量模型CMAQ湿沉降人为排放密西西比州;

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