Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical Approach
The drainage basin surrounding River Kaduna within the middle stretch is known to have numerous land uses and land covers. Several researchers have investigated the water quality of the river with respect to season and surrounding geology. However, none or little on the water quality of the river h...
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| Format: | Article |
| Language: | English |
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Faculty of Engineering and Technology
2019-01-01
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| Series: | Nigerian Journal of Technological Development |
| Subjects: | |
| Online Access: | https://journal.njtd.com.ng/index.php/njtd/article/view/249 |
| _version_ | 1828748634451083264 |
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| author | F J Ogbozige M I Alfa |
| author_facet | F J Ogbozige M I Alfa |
| author_sort | F J Ogbozige |
| collection | DOAJ |
| description |
The drainage basin surrounding River Kaduna within the middle stretch is known to have numerous land uses and land covers. Several researchers have investigated the water quality of the river with respect to season and surrounding geology. However, none or little on the water quality of the river have been investigated with respect to land use and land cover (LULC). Hence, this paper examined the water quality of the middle stretch of the river in relation to the different land uses and land covers present using statistical techniques. This was achieved by monthly analyzing 10 physicochemical parameters from water samples collected in 15 sampling stations for a period of 12 calendar months using standard methods. The physicochemical parameters considered include; turbidity, total dissolved solids, pH, chloride ion and electrical conductivity. Others include dissolved oxygen, 5-days biochemical oxygen demand, chemical oxygen demand, total nitrogen and total phosphorus. The different LULC of the watershed obtained via ArcGIS 10.5 were agricultural, vegetation, built-up, industrial, water body and bare surface. Spearman’s correlation analysis between laboratory results and the different LULCs determined via SPSS version 20 revealed that Built-up, industrial, and agricultural land uses contributes significantly to the impairment of River Kaduna water quality as the correlation coefficients between these LULCs and water quality deterioration ranged from 0.0281 to 0.6901. Nevertheless, a significant negative correlation (-0.1482 to -0.5490) exist between vegetation (forest coverage) and water quality deterioration, suggesting that forest cover can mitigate the deterioration of water quality to a certain degree.
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| first_indexed | 2024-04-14T05:06:00Z |
| format | Article |
| id | doaj.art-f5c8114367394a2d8ecdf67ae802e036 |
| institution | Directory Open Access Journal |
| issn | 2437-2110 |
| language | English |
| last_indexed | 2024-04-14T05:06:00Z |
| publishDate | 2019-01-01 |
| publisher | Faculty of Engineering and Technology |
| record_format | Article |
| series | Nigerian Journal of Technological Development |
| spelling | doaj.art-f5c8114367394a2d8ecdf67ae802e0362022-12-22T02:10:43ZengFaculty of Engineering and TechnologyNigerian Journal of Technological Development2437-21102019-01-01161Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical ApproachF J Ogbozige0M I AlfaAhmadu Bello University, Zaria The drainage basin surrounding River Kaduna within the middle stretch is known to have numerous land uses and land covers. Several researchers have investigated the water quality of the river with respect to season and surrounding geology. However, none or little on the water quality of the river have been investigated with respect to land use and land cover (LULC). Hence, this paper examined the water quality of the middle stretch of the river in relation to the different land uses and land covers present using statistical techniques. This was achieved by monthly analyzing 10 physicochemical parameters from water samples collected in 15 sampling stations for a period of 12 calendar months using standard methods. The physicochemical parameters considered include; turbidity, total dissolved solids, pH, chloride ion and electrical conductivity. Others include dissolved oxygen, 5-days biochemical oxygen demand, chemical oxygen demand, total nitrogen and total phosphorus. The different LULC of the watershed obtained via ArcGIS 10.5 were agricultural, vegetation, built-up, industrial, water body and bare surface. Spearman’s correlation analysis between laboratory results and the different LULCs determined via SPSS version 20 revealed that Built-up, industrial, and agricultural land uses contributes significantly to the impairment of River Kaduna water quality as the correlation coefficients between these LULCs and water quality deterioration ranged from 0.0281 to 0.6901. Nevertheless, a significant negative correlation (-0.1482 to -0.5490) exist between vegetation (forest coverage) and water quality deterioration, suggesting that forest cover can mitigate the deterioration of water quality to a certain degree. https://journal.njtd.com.ng/index.php/njtd/article/view/249Deteriorate, Runoff, Correlation Coefficient, LULC. |
| spellingShingle | F J Ogbozige M I Alfa Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical Approach Nigerian Journal of Technological Development Deteriorate, Runoff, Correlation Coefficient, LULC. |
| title | Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical Approach |
| title_full | Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical Approach |
| title_fullStr | Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical Approach |
| title_full_unstemmed | Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical Approach |
| title_short | Land Use-Land Cover Effects on Surface Flowing Water Quality: A Statistical Approach |
| title_sort | land use land cover effects on surface flowing water quality a statistical approach |
| topic | Deteriorate, Runoff, Correlation Coefficient, LULC. |
| url | https://journal.njtd.com.ng/index.php/njtd/article/view/249 |
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