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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Journal of Hydrogeomorphology</JournalTitle>
				<Issn>2383-3254</Issn>
				<Volume>12</Volume>
				<Issue>42</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Flood hazard modeling using the weight of evidence (WOE) method in the Azarshahr Chai basin</ArticleTitle>
<VernacularTitle>Flood hazard modeling using the weight of evidence (WOE) method in the Azarshahr Chai basin</VernacularTitle>
			<FirstPage>37</FirstPage>
			<LastPage>20</LastPage>
			<ELocationID EIdType="pii">18123</ELocationID>
			
<ELocationID EIdType="doi">10.22034/hyd.2024.60081.1723</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad Hossein</FirstName>
					<LastName>Rezaei Moghaddam</LastName>
<Affiliation>Professor of Geomorphology, Department of Geomorphology, University of Tabriz and Iranian Hazardology Association,Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Davoud</FirstName>
					<LastName>Mokhtari</LastName>
<Affiliation>Professor of Geomorphology, Department of Geomorphology, University of Tabriz, Tabriz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Tohid</FirstName>
					<LastName>Rahimpour</LastName>
<Affiliation>Postdoctral researcher of Geomorphology, Department of Geomorphology, University of Tabriz,Tabriz,  Iran</Affiliation>

</Author>
<Author>
					<FirstName>Vahideh</FirstName>
					<LastName>Taghizadeh Teimourloei</LastName>
<Affiliation>PhD Student of Dept of Geomorphology University of Tabriz</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>01</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>Azarshahrchai catchment area, located on the western slope of the Sahand mountain range, is formed by the connection of numerous tributaries flowing in deep valleys, and every year in the spring season, with the onset of rains, floods occur in these valleys. The purpose of this research is to evaluate the performance of the weighted evidence (woe) function for preparing the flood susceptibility map of the Azarshahr Chai catchment area. In order to reach the mentioned goal, first, the location of 82 flood catch points using Landsat8.c2.l2 satellite images based on the flood of April 2016 was randomly divided into two groups of 70% (57 flood catch points) for training data and 30 percent (25 points) flood) was used for validation data. Then 14 effective factors in flood occurrence elevation, slope, Aspect, slope curvature, distance to river, distance to road, river density, TWI (topographic moisture index), lithology, soil type, rainfall, and NDVI in Arc software environment and land use in ENVI5.3 software environment, analysis, and location of flood catch points in all 14 factors were investigated. The ROC operating characteristic curve was used to validate and correct the results obtained. The results of the research indicate that 19.56% of the basin is in the very high sensitivity class, 19.18% in the high sensitivity class, 24.61% in the moderate class, 21.94% in the low class and 14.68% in the shallow class in terms of flood vulnerability.</Abstract>
			<OtherAbstract Language="FA">Azarshahrchai catchment area, located on the western slope of the Sahand mountain range, is formed by the connection of numerous tributaries flowing in deep valleys, and every year in the spring season, with the onset of rains, floods occur in these valleys. The purpose of this research is to evaluate the performance of the weighted evidence (woe) function for preparing the flood susceptibility map of the Azarshahr Chai catchment area. In order to reach the mentioned goal, first, the location of 82 flood catch points using Landsat8.c2.l2 satellite images based on the flood of April 2016 was randomly divided into two groups of 70% (57 flood catch points) for training data and 30 percent (25 points) flood) was used for validation data. Then 14 effective factors in flood occurrence elevation, slope, Aspect, slope curvature, distance to river, distance to road, river density, TWI (topographic moisture index), lithology, soil type, rainfall, and NDVI in Arc software environment and land use in ENVI5.3 software environment, analysis, and location of flood catch points in all 14 factors were investigated. The ROC operating characteristic curve was used to validate and correct the results obtained. The results of the research indicate that 19.56% of the basin is in the very high sensitivity class, 19.18% in the high sensitivity class, 24.61% in the moderate class, 21.94% in the low class and 14.68% in the shallow class in terms of flood vulnerability.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Zoning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Flood</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">sensitivity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Azarshahrchai</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://hyd.tabrizu.ac.ir/article_18123_dda353b47a84d2b38178eb934fd8d03a.pdf</ArchiveCopySource>
</Article>
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