...
首页> 外文期刊>Aerosol and Air Quality Research >Study of Extreme CO, NO2 and O3 Concentrations at a Traffic Site in Delhi: Statistical Persistence Analysis and Source Identification
【24h】

Study of Extreme CO, NO2 and O3 Concentrations at a Traffic Site in Delhi: Statistical Persistence Analysis and Source Identification

机译:德里一个交通站点的最高CO,NO2和O3浓度研究:统计持久性分析和来源识别

获取原文
           

摘要

Persistence in the air pollutant concentration events exceeding the standard threshold was studied by using detrended fluctuation analysis. Time series of gaseous pollutant concentrations of CO, NO2 and O3 observed during 2000–2009 at a traffic site in Delhi were considered in this study. Statistical persistence was observed in exceeding concentration events of CO and NO2, whereas O3 exceeding time series showed anti-persistent behavior due to its secondary nature. The formation of O3 formation was explored by examining its relations with precursor pollutants. A high proportion of the exceeded O3 concentration was observed to be CO limited. Back trajectory analysis was then carried out to trace the path of the air parcels with high ozone concentration events, suggesting two clusters of trajectories; one from south-east and the other from north-west of the study site.
机译:使用去趋势波动分析研究了超过标准阈值的空气污染物浓度事件的持续性。这项研究考虑了在2000-2009年期间在德里的一个交通站点观测到的气态污染物中CO,NO2和O3浓度的时间序列。在超过CO和NO2浓度事件时观察到统计持久性,而超过时间序列的O3由于其次生性质显示出抗持久性。通过检查O3与前体污染物的关系来探索O3的形成。超出的O3浓度中有很大一部分受到CO的限制。然后进行反向轨迹分析,以追踪臭氧浓度较高事件引起的空气包裹的路径,表明存在两个轨迹簇。一个来自研究地点的东南方,另一个来自研究地点的西北方。

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