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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Journal of the Earth and Space Physics</JournalTitle>
				<Issn>2538-371X</Issn>
				<Volume>47</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>01</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Groundwater Prospectivity Mapping Using Integrated GIS, Remote Sensing, and Geophysical Techniques; A Case Study From Northeastern Nigeria</ArticleTitle>
<VernacularTitle>Groundwater Prospectivity Mapping Using Integrated GIS, Remote Sensing, and Geophysical Techniques; A Case Study From Northeastern Nigeria</VernacularTitle>
			<FirstPage>31</FirstPage>
			<LastPage>73</LastPage>
			<ELocationID EIdType="pii">81559</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jesphys.2021.311147.1007253</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Abubakar</FirstName>
					<LastName>Yusuf</LastName>
<Affiliation>Ph.D. Student, School of Physics, University Sains Malaysia, Penang, Malaysia</Affiliation>

</Author>
<Author>
					<FirstName>Hwee San</FirstName>
					<LastName>Lim</LastName>
<Affiliation>Associate Professor, School of Physics, University Sains Malaysia, Penang, Malaysia</Affiliation>
<Identifier Source="ORCID">0000-0002-4835-8015</Identifier>

</Author>
<Author>
					<FirstName>Ismail</FirstName>
					<LastName>Ahmad Abir</LastName>
<Affiliation>Assistant Professor, School of Physics, University Sains Malaysia, Penang, Malaysia</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>10</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>An integrated GIS, Remote sensing, and Geophysical techniques have been successfully applied to generate the previously non-available groundwater prospectivity map for the present study area. Selected thematic maps were integrated using the weighted sum tool of the spatial analyst tool of the ArcGIS software. The five thematic maps used are: lithology map, drainage density map, slope map, lineaments density map, and the topographic map of the area. The groundwater prospectivity map generated was reclassified into low, moderate, high, and very high potential zones on the basis of their assigned layer rank, which also depends on their degree of influence on groundwater occurrence. Areas around Gombe, Wuyo, Deba, Alkaleri, Kaltungo, Misau, Nafada, Bajoga towns are the regions that showed very high prospects for groundwater occurrence. Data processing filters such as: horizontal derivatives, Analytic signal processing, 3D-Euler depth estimation was applied on the magnetic data in order to map structures and lithologic contacts before its subsequent integration with other structural lineaments as a thematic layer. Vertical Electrical Sounding (VES) data were used to compute hydraulic conductivity, and Transmisivity etc. for the acquiferous layers identified. The results of the present study showed some regions that are classified as highly prospective to be consistent with high transmisivity and high yield values. The final outcome (groundwater potential map) of this research demonstrated that GIS/remote sensing, and the geophysical technique employed is a very powerful tool for generating groundwater prospectivity map, which is very vital in terms of planning for groundwater exploration and exploitation.</Abstract>
			<OtherAbstract Language="FA">An integrated GIS, Remote sensing, and Geophysical techniques have been successfully applied to generate the previously non-available groundwater prospectivity map for the present study area. Selected thematic maps were integrated using the weighted sum tool of the spatial analyst tool of the ArcGIS software. The five thematic maps used are: lithology map, drainage density map, slope map, lineaments density map, and the topographic map of the area. The groundwater prospectivity map generated was reclassified into low, moderate, high, and very high potential zones on the basis of their assigned layer rank, which also depends on their degree of influence on groundwater occurrence. Areas around Gombe, Wuyo, Deba, Alkaleri, Kaltungo, Misau, Nafada, Bajoga towns are the regions that showed very high prospects for groundwater occurrence. Data processing filters such as: horizontal derivatives, Analytic signal processing, 3D-Euler depth estimation was applied on the magnetic data in order to map structures and lithologic contacts before its subsequent integration with other structural lineaments as a thematic layer. Vertical Electrical Sounding (VES) data were used to compute hydraulic conductivity, and Transmisivity etc. for the acquiferous layers identified. The results of the present study showed some regions that are classified as highly prospective to be consistent with high transmisivity and high yield values. The final outcome (groundwater potential map) of this research demonstrated that GIS/remote sensing, and the geophysical technique employed is a very powerful tool for generating groundwater prospectivity map, which is very vital in terms of planning for groundwater exploration and exploitation.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Multiple criteria</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Analytic Hierarchy Process</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Groundwater</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Geographic Information System</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">thematic maps</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jesphys.ut.ac.ir/article_81559_2c404204c43232b9bab79902b5b4d64c.pdf</ArchiveCopySource>
</Article>
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