首页> 外文会议>International Conference on Remote Sensing, Environment and Transportation Engineering >The Application of MM5 Wind Data in Monitoring of Regional Pollution based on Passive DOAS under different Atmospheric Stability Conditions in China
【24h】

The Application of MM5 Wind Data in Monitoring of Regional Pollution based on Passive DOAS under different Atmospheric Stability Conditions in China

机译:MM5风数据在中国不同大气稳定条件下基于被动DOA的基于被动DOA的区域污染监测

获取原文

摘要

Recently, the passive DOAS measurement for emissions of pollutants is widely used, but the acquisitions of wind field data proved difficult. By using Pasquill-Turner stability classification method, this paper carried out a number of contrasts and analyses between different kinds of wind field data under different atmospheric stability conditions. Comparisons were made between the wind field which was collected from two different observation data sources and the wind field of MM5 with the different stability of atmosphere. Under neutral atmospheric condition or slightly unstable condition (C-D class or D class), the wind data of MM5 (10m, 150m) were in good agreement with the observed data from weather station and wind profile radar respectively. With the use of MM5 wind data, the SO2 emission flux which was monitored by passive DOAS was calculated to 0.086kg/s and 0.043kg/s on 16th and 24th October and were in good agreement with CEMS data, which quote 0.096kg/s and 0.049kg/s respectively under the neutral weather systems (D class).Therefore, this paper presents that the wind field data of MM5 can effectively compensate the deficiencies of observation data under the neutral atmospheric condition in territorial monitoring which was based on mobile passive DOAS measurements.
机译:最近,广泛使用了污染物排放的被动DOAS测量,但是难以获取风现实数据的收购。通过采用帕奎尔 - 特纳稳定性分类方法,本文在不同大气稳定条件下进行了多种风现场数据之间的鲜明对比度和分析。在风电场之间进行比较,该风电场从两个不同的观察数据源和MM5的风电场收集,具有不同的大气的稳定性。在中性大气条件下或略微不稳定条件(C-D类或D类)下,MM5(10M,150M)的风数据分别与来自气象站和风廓线雷达的观察到的数据吻合良好。随着MM5风数据的使用,由无源DOA监测的SO2排放焊剂于10月16日和24日计算为0.086kg / s和0.043kg / s,与CEMS数据吻合良好,其引用0.096kg / s。分别在中性天气系统(D类)下0.049kg / s。因此,本文提出了MM5的风现场数据可以有效地补偿了基于移动被动的领土监测中的中性大气条件下观察数据的缺陷DOAS测量。

著录项

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