Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/13207
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dc.contributor.authorIbrahim, S. U-
dc.contributor.authorYakubu, Umar Paiko-
dc.contributor.authorIbrahim, A-
dc.contributor.authorOguniyi, G. O-
dc.date.accessioned2021-08-10T14:12:09Z-
dc.date.available2021-08-10T14:12:09Z-
dc.date.issued2017-12-
dc.identifier.citationIbrahim, S. U., Yakubu U. P., Ibrahim A. and Oguniyi G. O. (2017). ASSESSMENT OF WATER QUALITY VARIABLES OF RIVER KADUNA USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM. International Journal of Applied Biological Research. 8(II): 210 – 221.en_US
dc.identifier.issn2141-1441-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/13207-
dc.description.abstractThe study utilizes remote sensing and a geographic information system (GIS) for mapping water quality conditions of the River Kaduna, as a proxy to fish production. Spatial distribution of Nitrate, Phosphate, Dissolved oxygen, Water Temperature, Depth, Chloride. Alkalinity, Hardness, pH and Conductivity has been applied. The co-ordinate points of each identified sampling stations were taken using Global Positioning System (GPS). A 600ng Earth image from the Internet acquired in April 2012 was processed by digitizing. Overall map of the water bodies identified was produced by carving out the shape of the water body. Ten maps were. produced to geographically demonstrate the water quality parameters sampled using range values obtained. The results showed that stations III, IV and V of the river favour fish production than stations I and II. The study confirms that remote sensing coupled with GIS would be a very useful tool for mapping water quality.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Applied Biological Researchen_US
dc.relation.ispartofseriesVolume 8;Number II-
dc.subjectKeywords: GIS, Remote Sensing, QGIS Google earth image, Mapping, fish productionen_US
dc.titleAssessment of water quality variables of river Kaduna using remote sensing and geographic information system.en_US
dc.typeOtheren_US
Appears in Collections:Water Resources, Aquaculture & Fisheries Technology

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