首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >Statistical exploration of gaseous elemental mercury (GEM) measured at Cape Point from 2007 to 2011
【24h】

Statistical exploration of gaseous elemental mercury (GEM) measured at Cape Point from 2007 to 2011

机译:2007年至2011年在开普角测量的气态元素汞(GEM)的统计勘探

获取原文
           

摘要

pstrongAbstract./strong The authors evaluated continuous high-resolution gaseous elemental mercury (GEM) data from the Cape Point Global Atmosphere Watch (CPT GAW) station with different statistical analysis techniques. GEM data were evaluated by cluster analysis and the results indicated that two clusters, separated at 0.904 ng msupa??3/sup, existed. The air mass history for the two-cluster solution was investigated by means of back-trajectory analysis. The air mass back-trajectory net result showed lower GEM concentrations originating from the sparsely populated semi-arid interior of South Africa and the marine environment, whereas higher GEM concentrations originated predominately along the coast of South Africa that most likely coincide with trade routes and industrial activities in urban areas along the coast. Considering the net result from the air mass back-trajectories, it is evident that not all low GEM concentrations are from marine origin, and similarly, not all high GEM concentrations have a terrestrial origin. Equations were developed by means of multi-linear regression (MLR) analysis that allowed for the estimation and/or prediction of atmospheric GEM concentrations from other atmospheric parameters measured at the CPT GAW station. These equations also provided some insight into the relation and interaction of GEM with other atmospheric parameters. Both measured and MLR calculated data confirm a decline in GEM concentrations at CPT GAW over the period evaluated./p.
机译:> >摘要。作者使用不同的统计分析技术评估了来自开普角全球大气监视网(CPT GAW)站的连续高分辨率气态元素汞(GEM)数据。通过聚类分析评估了GEM数据,结果表明存在两个以0.904 ng m a ?? 3 隔开的聚类。通过反向轨迹分析研究了两团溶液的空气质量历史。空气质量反向轨迹净结果显示较低的GEM浓度源自南非人口稀少的半干旱内部以及海洋环境,而较高的GEM浓度主要源自南非沿海,这很可能与贸易路线和工业生产相吻合。沿海城市地区的活动。考虑到空气质量反演的最终结果,很明显并非所有低GEM浓度都来自海洋,同样,并非所有高GEM浓度都来自地面。通过多线性回归(MLR)分析来开发方程,该分析允许根据CPT GAW站测得的其他大气参数估算和/或预测大气GEM浓度。这些方程还为GEM与其他大气参数之间的关系和相互作用提供了一些见识。测量数据和MLR计算数据均证实,在评估期间,CPT GAW处的GEM浓度有所下降。

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