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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences and Natural Resources</PublisherName>
				<JournalTitle>Environmental Resources Research</JournalTitle>
				<Issn>2783-4832</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Temporal and spatial distribution of extreme precipitation indices over the lake Urmia Basin, Iran</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>25</FirstPage>
			<LastPage>40</LastPage>
			<ELocationID EIdType="pii">4145</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.R.</FirstName>
					<LastName>Azizzadeh</LastName>
<Affiliation>Department of Geography, Payam-e-Noor University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Kh.</FirstName>
					<LastName>Javan</LastName>
<Affiliation>Assistant Professor, Department of Geography, Urmia University, Urmia, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>Climate extremes have more direct and significant impact than average state on social and&lt;br /&gt;ecological systems. In this study temporal and spatial distribution of extreme precipitation&lt;br /&gt;events were analyzed based on the daily precipitation data of seven meteorological stations&lt;br /&gt;in the Lake Urmia Basin in Iran from 1987 to 2014. Eleven indices of precipitation&lt;br /&gt;extremes were selected and calculated using the RClimDex software. The Mann-Kendall&lt;br /&gt;test was employed to assess trend in extreme precipitation indices, and the Sen&#039;s Estimator&lt;br /&gt;test was used to determine the slope of the significant trends. Results demonstrate that&lt;br /&gt;consecutive dry days (CDD) exhibit an increasing trend. The other indices of precipitation&lt;br /&gt;extremes, Consecutive wet days (CWD), heavy precipitation days (R10mm), heavier&lt;br /&gt;precipitation days (R20mm), heaviest precipitation days (R25mm), maximum 1-day&lt;br /&gt;precipitation (RX1day), maximum 5-day precipitation (RX5day), very wet day&lt;br /&gt;precipitation (R95), extremely wet day precipitation (R99), simple daily intensity index&lt;br /&gt;(SDII), and wet-day precipitation (PRCPTOT) show decreasing trend and time of change in&lt;br /&gt;most indices starting from 1995-1996. However, all the linear trends for each index are not&lt;br /&gt;statistically significant. Decreasing trends in precipitation days were greater than those in&lt;br /&gt;precipitation indices. The slope of trends in extreme precipitation indices showed that the&lt;br /&gt;highest slope of the decreasing trend occurred in wet-day precipitation, consecutive dry&lt;br /&gt;days and very wet day precipitation. Spatial distribution for precipitation extremes&lt;br /&gt;exhibited a declining trend in most regions in the Lake Urmia Basin. Furthermore, the&lt;br /&gt;extreme precipitation indexes had positive correlations with the annual total precipitation,&lt;br /&gt;and their correlation coefficients were statistically significant at the 1% significance level,&lt;br /&gt;except for consecutive dry days.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Precipitation extremes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Spatial and temporal distribution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Mann-Kendall test</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sen's Estimator test</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lake Urmia Basin.1</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijerr.gau.ac.ir/article_4145_e35fda2d7d75e447ed839aee4003f71f.pdf</ArchiveCopySource>
</Article>
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