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<!DOCTYPE article SYSTEM "http://www.atmos-chem-phys-discuss.net/inc/acpd/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>6</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/acpd-6-6125-2006</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/6/6125/2006/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/6/6125/2006/acpd-6-6125-2006.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/6/6125/2006/acpd-6-6125-2006.pdf</fulltext_pdf>
	<start_page>6125</start_page>
	<end_page>6181</end_page>
	<publication_date>2006-07-11</publication_date>
	<article_title content_type="html">Modelling constraints on the emission inventory and on vertical diffusion for CO and SO&lt;sub&gt;2&lt;/sub&gt; in the Mexico City Metropolitan Area using Solar FTIR and zenith sky UV spectroscopy</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>B. de Foy</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>W. Lei</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>M. Zavala</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>R. Volkamer</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>J. Samuelsson</name>
		</author>
		<author numeration="6" affiliations="4">
			<name>J. Mellqvist</name>
		</author>
		<author numeration="7" affiliations="4">
			<name>B. Galle</name>
		</author>
		<author numeration="8" affiliations="5">
			<name>A.-P. Martínez</name>
		</author>
		<author numeration="9" affiliations="6">
			<name>M. Grutter</name>
		</author>
		<author numeration="10" affiliations="1,2">
			<name>L. T. Molina</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Molina Center for Energy and the Environment, CA, USA</affiliation>
		<affiliation numeration="2" content_type="html">Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, USA</affiliation>
		<affiliation numeration="3" content_type="html">Department of Chemistry and Biochemistry, University of California, San Diego, USA</affiliation>
		<affiliation numeration="4" content_type="html">Department of Radio and Space Science, Chalmers University of Technology, Gothenburg, Sweden</affiliation>
		<affiliation numeration="5" content_type="html">General Direction of the National Center for Environmental Research and Training (CENICA), National Institute of Ecology (INE), Mexico</affiliation>
		<affiliation numeration="6" content_type="html">Centro de Ciencias de la Atm&amp;oacute;sfera, Universidad Nacional Aut&amp;oacute;noma de M&amp;eacute;xico, M&amp;eacute;xico</affiliation>
	</affiliations>
	<abstract content_type="html">Emissions of air pollutants in and around urban areas lead
to negative health impacts on the population.
To estimate these impacts, it is important to know the
sources and transport mechanisms of the pollutants accurately.
Mexico City has a large urban fleet in a topographically constrained basin
leading to high levels of carbon monoxide (CO). Large point sources
of sulfur dioxide (SO&lt;sub&gt;2&lt;/sub&gt;) surrounding the basin lead to episodes with
high concentrations.
An Eulerian grid model (CAMx) and a particle trajectory model
(FLEXPART) are used to evaluate the estimates of CO and SO&lt;sub&gt;2&lt;/sub&gt;
in the current emission inventory
using mesoscale meteorological simulations from MM5.
Vertical column measurements of CO are used to constrain the
total amount of emitted CO in the model and to identify the
most appropriate vertical diffusion scheme.
Zenith sky UV spectroscopy is used to estimate the emissions
of SO&lt;sub&gt;2&lt;/sub&gt; from a large power plant and the Popocat&amp;#233;petl volcano.
Results suggest that the models are able to identify correctly
large point sources and that both the power plant and the volcano
impact the MCMA.
Modelled concentrations of CO based on the
current emission inventory match observations suggesting that
the current total emissions estimate is correct. Possible adjustments
to the spatial and temporal distribution can be inferred from
model results.
Accurate source and dispersion modelling provides feedback
for development of the emission inventory,
verification of transport processes in air quality models and
guidance for policy decisions.</abstract>
	<references>
	</references>
</article>

