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<ArticleSet>
<Article>
<Journal>
				<PublisherName></PublisherName>
				<JournalTitle>Environmental Management Hazards</JournalTitle>
				<Issn>2423-415X</Issn>
				<Volume>3</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>03</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analysis possible to predict the likelihood of timely and issuing the necessary knowledge  Thunderstorm and flood in July 2015 in Tehran for  vulnerability redaction</ArticleTitle>
<VernacularTitle>Analysis possible to predict the likelihood of timely and issuing the necessary knowledge  Thunderstorm and flood in July 2015 in Tehran for  vulnerability redaction</VernacularTitle>
			<FirstPage>21</FirstPage>
			<LastPage>31</LastPage>
			<ELocationID EIdType="pii">59272</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jhsci.2016.59272</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Dargahian</LastName>
<Affiliation>Faculty member the desert research, Institute of Forests and Rangelands, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Raman</FirstName>
					<LastName>Parn</LastName>
<Affiliation>Master of Science in Meteorology Meteorological Organization, Khuzestan Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>07</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract>Thunderstorm and flood in July 2015 in Tehran, at the same time covered 10 provinces. So not a local phenomenon occurred on a large scale and synoptic rooted in the general circulation atmosphere and large-scale phenomena such as changes in the polar vortex. In the warm season convection and provides synchronization of the dynamic conditions the atmosphere can provide the potential for thunderstorms. In this study, using maps prediction, station information upper atmosphere, conditions Synoptic and indicators of thermodynamics, such as PW, CAPE, SWEAT, LI, TT, K happening thunderstorms dated 19 July 2015 in Tehran were analyzed to evaluate Predictability. The results showed that the synoptic conditions and thermodynamic parameters of the upper atmosphere at Tehran&#039;s Mehrabad Airport stations have shown to predict potential flood risk at moderate to high risk. Therefore, access and timely monitoring and information upper air and maps prediction and also early warning system to inform, thunderstorms, especially storms are associated with rainfall, predictable and reduce the damage caused by them is possible.
&lt;strong&gt; &lt;/strong&gt;</Abstract>
			<OtherAbstract Language="FA">Thunderstorm and flood in July 2015 in Tehran, at the same time covered 10 provinces. So not a local phenomenon occurred on a large scale and synoptic rooted in the general circulation atmosphere and large-scale phenomena such as changes in the polar vortex. In the warm season convection and provides synchronization of the dynamic conditions the atmosphere can provide the potential for thunderstorms. In this study, using maps prediction, station information upper atmosphere, conditions Synoptic and indicators of thermodynamics, such as PW, CAPE, SWEAT, LI, TT, K happening thunderstorms dated 19 July 2015 in Tehran were analyzed to evaluate Predictability. The results showed that the synoptic conditions and thermodynamic parameters of the upper atmosphere at Tehran&#039;s Mehrabad Airport stations have shown to predict potential flood risk at moderate to high risk. Therefore, access and timely monitoring and information upper air and maps prediction and also early warning system to inform, thunderstorms, especially storms are associated with rainfall, predictable and reduce the damage caused by them is possible.
&lt;strong&gt; &lt;/strong&gt;</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Thunderstorms</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Prediction maps</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Conditions synoptic</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Upper station</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Thermodynamic parameters</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jhsci.ut.ac.ir/article_59272_26f8b18ea65c00d4ba231916c8ecb40a.pdf</ArchiveCopySource>
</Article>
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