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<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>AUT Journal of Civil Engineering</JournalTitle>
				<Issn>2588-2899</Issn>
				<Volume>9</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Integrating Multi-hazard Risk Assessment and Climate Change Projections for Adaptive Water Resource Management: A Case Study of the Ajichai River Basin</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>3</FirstPage>
			<LastPage>18</LastPage>
			<ELocationID EIdType="pii">5707</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ajce.2025.23579.5883</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Jafar</FirstName>
					<LastName>Chabokpour</LastName>
<Affiliation>Department of Civil Engineering, University of Maragheh, Maragheh, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>This research develops an in-depth hydrologic risk analysis for the Ajichai River catchment by using the flow series at the Veniar station for the period from 1966 to 2013. A complete methodology was used to analyze the flood and drought risks, as well as the long-term trends and eventual impact of climate change on the flow regime of the river. Annual maximum flow data were fitted using the Generalized Extreme Value distribution and provided a 100-year flood estimate of 224.9 m&lt;sup&gt;3&lt;/sup&gt;/s, 95% CI: 177.7-272.1 m&lt;sup&gt;3&lt;/sup&gt;/s. A significant decreasing trend in annual mean flow was detected: Sen&#039;s slope -0.25 m&lt;sup&gt;3&lt;/sup&gt;/s/year, p &lt; 0.01. The low-flow frequency analysis yielded a high value of the coefficient of correlation r = 0.98, which explained the duration and severity relationship of droughts described by the power-law equation S = 0.0012 × D&lt;sup&gt;1.85&lt;/sup&gt;. It is evident from the seasonal analysis that during the spring season, 68.7% of the annual maximum flow occurs with an average peak flow of 89.6 m&lt;sup&gt;3&lt;/sup&gt;/s. There was a very important shift in the timing of the floods, a 26-day earlier date of annual maximum flows between the 1970s and the 2010s. It quantified the relationship between annual maximum flow and precipitation: Q = 0.0015×P&lt;sup&gt;2.1&lt;/sup&gt;, R2 = 0.88, underlining the probable impact of the changes in precipitation on flood risk. In fact, it exposes the complex and dynamic hydrological environment of the Ajichai River basin and signifies a requirement for adaptable water management that concurrently contributes to decreasing flood and drought risks in response to climate change.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Flood risk</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Drought vulnerability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Climate change impacts</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Water resource management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ajce.aut.ac.ir/article_5707_b45c024256f0625350840c2ca5be3269.pdf</ArchiveCopySource>
</Article>
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