首页> 外文会议>24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics >Analysis of Black Carbon fraction and aerosol scattering coefficient in smokes of remote forest fires and winter urban smogs
【24h】

Analysis of Black Carbon fraction and aerosol scattering coefficient in smokes of remote forest fires and winter urban smogs

机译:偏远森林火灾和城市冬季烟雾中烟气中黑碳含量和气溶胶散射系数的分析

获取原文
获取原文并翻译 | 示例

摘要

It is revealed on the basis of round-the-clock monitoring measurements of the scattering coefficient of the dry matter ofsubmicron aerosol at the wavelength of 0.51 μm and the mass concentration of absorbing matter at the Aerosol station ofIAO SB RAS in 1997–2017, that the average level of the Black Carbon fraction (BC-fraction) of aerosol P for densewinter urban smogs is 3 times greater compared to the smoke of remote forest fires. The average value P for situationswith enhanced values of the aerosol scattering coefficient σ > 150 Mm~(-1) (meteorological visibility range less than 26 km)in forest fire smokes is 0.027±0.01, and in winter urban smog it is 0.091±0.02. The data arrays were selected using the Pcriterionimplying the lower values of BC-fraction in the smokes of remote forest fires in comparison with thebackground aerosol.
机译:根据对全天候\ r \ n亚微米气溶胶在0.51μm波长处干物质的散射系数和\ r \ nIAO气溶胶站吸收物质质量浓度的全天候监测测量结果揭示SB RAS在1997年至2017年间发现,城市偏远冬季烟雾中,气溶胶P的平均黑碳含量(BC级)是偏远森林火灾烟雾的3倍。森林火灾烟雾中,情况\ r \ n气溶胶散射系数σ> 150 Mm〜(-1)(气象能见度范围小于26 km)增强时的平均值P为0.027±0.01。城市烟雾是0.091±0.02。数据数组是使用Pcriterion \ r \ n选择背景森林气溶胶中偏远森林火灾烟气中BC分数的较低值来选择的。

著录项

  • 来源
  • 会议地点 0277-786X;1996-756X
  • 作者单位

    V.E. Zuev Institute of Atmospheric Optics SB RAS, 1 Academician Zuev Square, Tomsk 634021 Russia;

    V.E. Zuev Institute of Atmospheric Optics SB RAS, 1 Academician Zuev Square, Tomsk 634021 Russia;

    V.E. Zuev Institute of Atmospheric Optics SB RAS, 1 Academician Zuev Square, Tomsk 634021 Russia;

    V.E. Zuev Institute of Atmospheric Optics SB RAS, 1 Academician Zuev Square, Tomsk 634021 Russia;

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

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