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Carbon Monoxide and Nitrogen Oxides RelationshipsMeasured Inside a Roadway Tunnel and a Comparisonwith the Mobile 6.2 Emission Model Predictions

机译:巷道内测得的一氧化碳和氮氧化物的关系以及与移动6.2排放模型预测的比较

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This paper presents the results of a multi-year carbon monoxide (CO) and nitrogen oxides(NOx) monitoring program performed inside the 8,000 foot long Ted William Tunnel (TWT),which is part of the Central Artery/Tunnel (CA/T) Project in Boston, Massachusetts.The monitoring program was performed in support of developing the CA/T Project’sOperating Certification for its tunnel ventilation system. The objective was to measure tunneloperating levels for both pollutants, and to develop a statistical method using monitored COlevels as a predictor for estimating NOx levels for compliance demonstration with theMassachusetts State’s 1-hour NO2 Policy Guideline. The program measured in-tunnel COand NOx levels on quarterly basis during 1997-1998 at the newly constructed TWT whenonly commercial traffic was permitted inside the TWT. The program was repeated during2004 when the tunnel was open to general traffic use. An analysis of the measured levels andthe derived relationship between the two pollutants based on more than 20,000 hours ofcollected data is described in this paper.The CO-NOx data proved that there is a good correlation between the two pollutants and thatNOx levels can be predicted as a function of CO levels within the TWT. The comparison tothe EPA MOBILE 6.2 Emission Factor Model predictions using all available project specificdata indicated that the CO/NOx ratios matched very well for the summer seasons, but thelarge increases in CO winter emissions predicted by MOBILE 6.2 did not occur during thethree years of data collection.
机译:本文介绍了在8,000英尺长的Ted William隧道(TWT)内执行的多年一氧化碳(CO)和氮氧化物(NOx)监控程序的结果,该隧道是中央动脉/隧道(CA / T)的一部分马萨诸塞州波士顿的项目。执行监视程序以支持开发CA / T项目的隧道通风系统的操作认证。目的是测量两种污染物的隧道作业水平,并开发一种统计方法,使用监测的CO水平作为预测NOx水平的预测指标,以符合马萨诸塞州1小时NO2政策指南的示范要求。该程序在1997-1998年期间每季度测量新建的TWT的隧道内CO和NOx含量,前提是该TWT内仅允许商业运输。当隧道开放给一般交通使用时,2004年重复了该程序。本文基于20,000多个小时的数据分析了两种污染物的测得水平及其派生关系.CO-NOx数据证明两种污染物之间存在良好的相关性,并且可以预测NOx含量为TWT中一氧化碳水平的函数。使用所有可用的项目特定数据与EPA MOBILE 6.2排放因子模型预测的比较表明,CO / NOx比率在夏季非常匹配,但是在三年的数据收集过程中,MOBILE 6.2预测的CO冬季排放量并未大幅增加。

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