2013
DOI: 10.1080/10962247.2013.822438
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Radical precursors and related species from traffic as observed and modeled at an urban highway junction

Abstract: Nitrous acid (HONO) and formaldehyde (HCHO) are important precursors for radicals and are believed to favor ozone formation significantly. Traffic emission data for both compounds are scarce and mostly outdated. A better knowledge of today's HCHO and HONO emissions related to traffic is needed to refine air quality models. Here the authors report results from continuous ambient air measurements taken at a highway junction in Houston, Texas, from July 15 to October 15, 2009. The observational data were compared… Show more

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Cited by 79 publications
(95 citation statements)
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References 48 publications
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“…NEI provides emission rates for nitrogen oxides; during the processing with SMOKE NO x emissions for mobile sources are separated into 90 % NO, 9.2 % NO 2 , and 0.8 % HONO. However, Rappenglueck et al (2013) report much higher HONO contribution from mobile sources in Houston; based on all measurements HONO traffic emissions are 1.7 % of NO x emissions, which is about twice the previously estimated value of 0.8 % based on tunnel measurements in 2001. The HONO / NO x ratio reported by Kurtenbach et al (2001) is based on measurements performed between 6 a.m. and 2 p.m., for both weekdays and weekends where 22 200 ± 400 vehicles were passing on weekdays and 13 300 ± 1 400 cars passing on weekends.…”
Section: Adjusting No X and Hono Emissionsmentioning
confidence: 74%
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“…NEI provides emission rates for nitrogen oxides; during the processing with SMOKE NO x emissions for mobile sources are separated into 90 % NO, 9.2 % NO 2 , and 0.8 % HONO. However, Rappenglueck et al (2013) report much higher HONO contribution from mobile sources in Houston; based on all measurements HONO traffic emissions are 1.7 % of NO x emissions, which is about twice the previously estimated value of 0.8 % based on tunnel measurements in 2001. The HONO / NO x ratio reported by Kurtenbach et al (2001) is based on measurements performed between 6 a.m. and 2 p.m., for both weekdays and weekends where 22 200 ± 400 vehicles were passing on weekdays and 13 300 ± 1 400 cars passing on weekends.…”
Section: Adjusting No X and Hono Emissionsmentioning
confidence: 74%
“…The vehicle fleet was composed of 6.0 % heavy-duty trucks, 6.0 % commercial vans, 12 % diesel and 75 % gasoline powered passenger cars, and 1.0 % motorcycles. The ratio calculated by Rappenglueck et al (2013) is based on measurements performed during weekdays reflecting high-traffic, early morning conditions (4-8 a.m.). The measurements were performed at highway junction in Houston with very high traffic load (about 400 000 vehicles passing daily), which is much larger than that in the tunnel study.…”
Section: Adjusting No X and Hono Emissionsmentioning
confidence: 99%
“…It is not before 5:25 am CST that O 3 and PAN decrease to 5 ppb and 125 ppt, respectively, and that the NO 2 fraction of NO x decreases to about 70%. We thus believe that this data selection may have missed most of the rush hour impacts, which start around 5-6 am CST and peak around 8 am CST (see Figure 4 about the diurnal variation of VMT in Rappenglück et al, 2013). While it may be true that Wormhoudt et al considered the maximum morning peak in NO x , CO, and HONO in their data analysis represented in Figure 2, this may not have necessarily been the traffic rush hour peak, as the location of the monitor is not close to the freeway and it may have been masked by sources closer to the Moody Tower and the increasing boundary layer height after 6 am CST.…”
Section: General Remarksmentioning
confidence: 99%
“…The motivation of the Rappenglück et al 2013 paper was to obtain measurements of mobile emissions in order to compare it with the mobile on-road emissions calculated by models MOBILE6 and MOVES2010 available at that time. This included all the various sources for mobile emissions represented in MOBILE6 and MOVES2010, the use of link-based information of the VMT and VMT mix [distribution of vehicle miles traveled (VMT) according to vehicle type and fuel], speed activity estimates and "off-network" emissions such as idling and starting trucks.…”
Section: General Remarksmentioning
confidence: 99%
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