Elucidating real-world vehicle emission factors from mobile measurements over a large metropolitan region: a focus on isocyanic acid, hydrogen cyanide, and black carbon

<p>A mobile laboratory equipped with state-of-the-art gaseous and particulate instrumentation was deployed across the Greater Toronto Area (GTA) during two seasons. A high-resolution time-of-flight chemical ionization mass spectrometer (HR-TOF-CIMS) measured isocyanic acid (HNCO) and hydrogen...

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Bibliographic Details
Main Authors: S. N. Wren, J. Liggio, Y. Han, K. Hayden, G. Lu, C. M. Mihele, R. L. Mittermeier, C. Stroud, J. J. B. Wentzell, J. R. Brook
Format: Article
Language:English
Published: Copernicus Publications 2018-11-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/18/16979/2018/acp-18-16979-2018.pdf
Description
Summary:<p>A mobile laboratory equipped with state-of-the-art gaseous and particulate instrumentation was deployed across the Greater Toronto Area (GTA) during two seasons. A high-resolution time-of-flight chemical ionization mass spectrometer (HR-TOF-CIMS) measured isocyanic acid (HNCO) and hydrogen cyanide (HCN), and a high-sensitivity laser-induced incandescence (HS-LII) instrument measured black carbon (BC). Results indicate that on-road vehicles are a clear source of HNCO and HCN and that their impact is more pronounced in the winter, when influences from biomass burning (BB) and secondary photochemistry are weakest. Plume-based and time-based algorithms were developed to calculate fleet-average vehicle emission factors (EFs); the algorithms were found to yield comparable results, depending on the pollutant identity. With respect to literature EFs for benzene, toluene, C2 benzene (sum of <i>m-</i>, <i>p-</i>, and <i>o</i>-xylenes and ethylbenzene), nitrogen oxides, particle number concentration (PN), and black carbon, the calculated EFs were characteristic of a relatively clean vehicle fleet dominated by light-duty vehicles (LDV). Our fleet-average EF for BC (median: 25&thinsp;mg&thinsp;kg<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mi mathvariant="normal">fuel</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="15pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="1a8c532b1720d0ea4f5d9751953cb03e"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-18-16979-2018-ie00001.svg" width="15pt" height="17pt" src="acp-18-16979-2018-ie00001.png"/></svg:svg></span></span>; interquartile range, IQR: 10–76&thinsp;mg&thinsp;kg<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mi mathvariant="normal">fuel</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="15pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="48fd5fdeb4645549a8bae777d7aa0128"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-18-16979-2018-ie00002.svg" width="15pt" height="17pt" src="acp-18-16979-2018-ie00002.png"/></svg:svg></span></span>) suggests that overall vehicular emissions of BC have decreased over time. However, the distribution of EFs indicates that a small proportion of high-emitters continue to contribute disproportionately to total BC emissions. We report the first fleet-average EF for HNCO (median: 2.3&thinsp;mg&thinsp;kg<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mi mathvariant="normal">fuel</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="15pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="e08f0bbebdfe31f89c0e2f6e51d785d1"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-18-16979-2018-ie00003.svg" width="15pt" height="17pt" src="acp-18-16979-2018-ie00003.png"/></svg:svg></span></span>, IQR: 1.4–4.2&thinsp;mg&thinsp;kg<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mi mathvariant="normal">fuel</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="15pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="fccb73420823b2a60e142c38952459d4"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-18-16979-2018-ie00004.svg" width="15pt" height="17pt" src="acp-18-16979-2018-ie00004.png"/></svg:svg></span></span>) and HCN (median: 0.52&thinsp;mg&thinsp;kg<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mi mathvariant="normal">fuel</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="15pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="85c4438be8656632e84fdb276e716b80"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-18-16979-2018-ie00005.svg" width="15pt" height="17pt" src="acp-18-16979-2018-ie00005.png"/></svg:svg></span></span>, IQR: 0.32–0.88&thinsp;mg&thinsp;kg<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mi mathvariant="normal">fuel</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="15pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="6d432e3c7b89e1482addd742dfbd47fe"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-18-16979-2018-ie00006.svg" width="15pt" height="17pt" src="acp-18-16979-2018-ie00006.png"/></svg:svg></span></span>). The distribution of the estimated EFs provides insight into the real-world variability of HNCO and HCN emissions and constrains the wide range of literature EFs obtained from prior dynamometer studies. The impact of vehicle emissions on urban HNCO levels can be expected to be further enhanced if secondary HNCO formation from vehicle exhaust is considered.</p>
ISSN:1680-7316
1680-7324