Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/13207
Title: Assessment of water quality variables of river Kaduna using remote sensing and geographic information system.
Authors: Ibrahim, S. U
Yakubu, Umar Paiko
Ibrahim, A
Oguniyi, G. O
Keywords: Keywords: GIS, Remote Sensing, QGIS Google earth image, Mapping, fish production
Issue Date: Dec-2017
Publisher: International Journal of Applied Biological Research
Citation: Ibrahim, 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.
Series/Report no.: Volume 8;Number II
Abstract: The 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.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13207
ISSN: 2141-1441
Appears in Collections:Water Resources, Aquaculture & Fisheries Technology

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