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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Journal of Urban Ecology Researches</JournalTitle>
				<Issn>2538-3930</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2011</Year>
					<Month>03</Month>
					<Day>16</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Statistical Analysis of Atmosphere Parameters Effect
on Surface Ozone in Isfahan Town</ArticleTitle>
<VernacularTitle>Statistical Analysis of Atmosphere Parameters Effect
on Surface Ozone in Isfahan Town</VernacularTitle>
			<FirstPage>61</FirstPage>
			<LastPage>70</LastPage>
			<ELocationID EIdType="pii">48</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Abbasali</FirstName>
					<LastName>Arvin</LastName>
<Affiliation>Assistant Prof.Payam_e Noor University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2010</Year>
					<Month>07</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>Ozone gas is one the pollutant that it survey in Isfahan gauge pollution stations.  A part of production and diffusion of ozone related to atmosphere parameters directly and indirectly. The aim of this research to study atmosphere parameter affected on surface ozone variations in Isfahan town. The correlation and multiple regression have been used for analyze. The results show that increasing of temperature and sunny hours in three time period; monthly, seasonal and yearly have been directly correlated to increasing of ozone but relative humidity and highest wind flow have inverse correlate with increasing of ozone. For example, the correlation coefficient between average of ozone with daily maximum of humidity, mean daily of temperature and number of sunny hours is R=-0.569, R=+0.533 and R=+0.52 one by one. In the best conditions in Farvardin month, 80.6 percent of variations have been explained by atmosphere parameters. More than 50% of variations of ozone in Lale station in 30.6% of total year have been explicated by atmosphere parameters whereas this percent of explication only in 16.6 percent of total year in Bozorgmehr station have been explicated. Thus the values of ozone in Lale station to be more affected from the atmosphere parameters in compare with Bozorgmehr station.</Abstract>
			<OtherAbstract Language="FA">Ozone gas is one the pollutant that it survey in Isfahan gauge pollution stations.  A part of production and diffusion of ozone related to atmosphere parameters directly and indirectly. The aim of this research to study atmosphere parameter affected on surface ozone variations in Isfahan town. The correlation and multiple regression have been used for analyze. The results show that increasing of temperature and sunny hours in three time period; monthly, seasonal and yearly have been directly correlated to increasing of ozone but relative humidity and highest wind flow have inverse correlate with increasing of ozone. For example, the correlation coefficient between average of ozone with daily maximum of humidity, mean daily of temperature and number of sunny hours is R=-0.569, R=+0.533 and R=+0.52 one by one. In the best conditions in Farvardin month, 80.6 percent of variations have been explained by atmosphere parameters. More than 50% of variations of ozone in Lale station in 30.6% of total year have been explicated by atmosphere parameters whereas this percent of explication only in 16.6 percent of total year in Bozorgmehr station have been explicated. Thus the values of ozone in Lale station to be more affected from the atmosphere parameters in compare with Bozorgmehr station.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Isfahan</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Surface Ozone</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Correlation coefficient</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multiple Regression Analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://grup.journals.pnu.ac.ir/article_48_de732f6f399b16808f3313c8918835d2.pdf</ArchiveCopySource>
</Article>
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