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<!DOCTYPE article SYSTEM "http://www.atmos-chem-phys.net/inc/acp/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics</journal_title>
		<journal_url>www.atmos-chem-phys.net</journal_url>
		<issn>1680-7316</issn>
		<eissn>1680-7324</eissn>
		<volume_number>6</volume_number>
		<issue_number>5</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/acp-6-1231-2006</doi>
	<article_url>http://www.atmos-chem-phys.net/6/1231/2006/</article_url>
	<abstract_html>http://www.atmos-chem-phys.net/6/1231/2006/acp-6-1231-2006.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys.net/6/1231/2006/acp-6-1231-2006.pdf</fulltext_pdf>
	<start_page>1231</start_page>
	<end_page>1248</end_page>
	<publication_date>2006-04-21</publication_date>
	<article_title content_type="html">Impact of the regional climate and substance properties on the fate and atmospheric long-range transport of persistent organic pollutants - examples of DDT and &amp;gamma;-HCH</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>V. S. Semeena</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>J. Feichter</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>G. Lammel</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Max Planck Institute for Meteorology, Centre for Marine and Atmospheric Sciences (ZMAW), Hamburg, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Meteorological Institute, University of Hamburg, Centre for Marine and Atmospheric Sciences (ZMAW), Hamburg, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">A global multicompartment model which is based on a 3-D atmospheric general
circulation model (ECHAM5) coupled to 2-D soil, vegetation and sea surface
mixed layer reservoirs, is used to simulate the atmospheric transports and
total environmental fate of dichlorodiphenyltrichloroethane (DDT) and
&amp;gamma;-hexachlorocyclohexane (&amp;gamma;-HCH, lindane).
Emissions into the model world reflect the substance&apos;s agricultural usage in
1980 and 1990 and same amounts in sequential years are applied. Four
scenarios of DDT usage and atmospheric decay and one scenario of
&amp;gamma;-HCH are studied over a decade.

&lt;P  style=&quot;line-height: 20px;&quot;&gt;
The global environment is predicted to be contaminated by the substances
within ca.&amp;nbsp;2a (years). DDT reaches quasi-steady state within 3-4a in the
atmosphere and vegetation compartments, ca.&amp;nbsp;6a in the sea surface mixed
layer and near to or slightly more than 10a in soil. Lindane reaches
quasi-steady state in the atmosphere and vegetation within 2a, in soils
within 8&amp;nbsp;years and near to or slightly more than 10a and in the sea surface
mixed layer. The substances&apos; differences in environmental behaviour translate
into differences in the compartmental distribution and total environmental
residence time, &amp;tau;&lt;sub&gt;overall&lt;/sub&gt;. &amp;tau;&lt;sub&gt;overall&lt;/sub&gt;&amp;asymp;0.8a for
&amp;gamma;-HCH&apos;s and &amp;asymp;1.0-1.3 a for the various DDT
scenarios. Both substances&apos; distributions are predicted to migrate in
northerly direction, 5-12&amp;deg; for DDT and 6.7&amp;deg; for lindane
between the first and the tenth year in the environment. Cycling in various
receptor regions is a complex superposition of influences of regional
climate, advection, and the substance&apos;s physico-chemical properties. As a
result of these processes the model simulations show that remote boreal
regions are not necessarily less contaminated than tropical receptor regions.
Although the atmosphere accounts for only 1% of the total contaminant
burden, transport and transformation in the atmosphere is key for the
distribution in other compartments. Hence, besides the physico-chemical
properties of pollutants the location of application (entry) affects
persistence and accumulation emphasizing the need for georeferenced exposure
models.</abstract>
	<references>
	</references>
</article>

