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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Iranian Journal of Soil and Water Research</JournalTitle>
				<Issn>2008-479X</Issn>
				<Volume>50</Volume>
				<Issue>9</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>01</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluating Risk of Economic Loss due to River Flood in Urban areas (Study Area: Kan Watershed)</ArticleTitle>
<VernacularTitle>Evaluating Risk of Economic Loss due to River Flood in Urban areas (Study Area: Kan Watershed)</VernacularTitle>
			<FirstPage>2239</FirstPage>
			<LastPage>2259</LastPage>
			<ELocationID EIdType="pii">71723</ELocationID>
			
<ELocationID EIdType="doi">10.22059/ijswr.2019.283115.668228</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Kimia</FirstName>
					<LastName>Amirmoradi</LastName>
<Affiliation>PhD. Student, Water Engineering Department, Faculty of Agriculture and Natural Resources, Imam Khomeini International University, Qazvin, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Shokoohi</LastName>
<Affiliation>Professor, Water Engineering Department, Faculty of Agriculture and Natural Resources, Imam Khomeini International University, Qazvin, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Asghar</FirstName>
					<LastName>Azizian</LastName>
<Affiliation>Assistant Professor, Water Engineering Department, Faculty of Agriculture and Natural Resources, Imam Khomeini International University, Qazvin, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>09</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, direct loss to structures and their properties due to rivers’ floods in urban areas was investigated. Risk evaluation and flood management require an algorithm for evaluating economic loss due to flood. In this research, hydraulic properties such as depth and flow velocity were used to detect the destroyable areas during the flood event. Then the flow depth was used to estimate the economic loss due to floods with different return periods; 2, 5, 10, 25, 50, 100 and 500-year. The economic loss due to floods was calculated using the depth–loss functions of five different models. Furthermore, the costs of expected annual damage (EAD) for structures in the study area were determined for plan floods, of which the critical areas at the region were distinguished. The results showed that using depth-loss function of Arrighi &lt;em&gt;et al&lt;/em&gt;. (2013) is more logic in the study area and it can be employed for risk management and flood insurance studies when the proper data are not exist. Finally, the depth-loss functions’ uncertainty were investigated using the First Order Variance Estimation (FOVE) method and the estimated loss confidence interval was determined. The procedure introduced in this paper provides a tool for rapid and acceptable approximation for risk assessment in urban flood-prone areas, especially where detailed information about structures and their pertinent properties cannot be provided.</Abstract>
			<OtherAbstract Language="FA">In this paper, direct loss to structures and their properties due to rivers’ floods in urban areas was investigated. Risk evaluation and flood management require an algorithm for evaluating economic loss due to flood. In this research, hydraulic properties such as depth and flow velocity were used to detect the destroyable areas during the flood event. Then the flow depth was used to estimate the economic loss due to floods with different return periods; 2, 5, 10, 25, 50, 100 and 500-year. The economic loss due to floods was calculated using the depth–loss functions of five different models. Furthermore, the costs of expected annual damage (EAD) for structures in the study area were determined for plan floods, of which the critical areas at the region were distinguished. The results showed that using depth-loss function of Arrighi &lt;em&gt;et al&lt;/em&gt;. (2013) is more logic in the study area and it can be employed for risk management and flood insurance studies when the proper data are not exist. Finally, the depth-loss functions’ uncertainty were investigated using the First Order Variance Estimation (FOVE) method and the estimated loss confidence interval was determined. The procedure introduced in this paper provides a tool for rapid and acceptable approximation for risk assessment in urban flood-prone areas, especially where detailed information about structures and their pertinent properties cannot be provided.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Economic loss of flood</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Urban flood</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Depth-loss function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">risk management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Uncertainty</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijswr.ut.ac.ir/article_71723_222575f0d26c0990b283998bad63247e.pdf</ArchiveCopySource>
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