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Spatiotemporal Analysis and Determination of Major Sources Affecting Water Quality of Oguta Lake by Principal Component Analysis |
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| รหัสดีโอไอ | |
| Creator | Uzoka Christopher Ndubuisi |
| Title | Spatiotemporal Analysis and Determination of Major Sources Affecting Water Quality of Oguta Lake by Principal Component Analysis |
| Contributor | Ibe Colman Chikwem, Uche Cosmas Chinedu, Samuel Ikpo Ogbaa, Egwim Chukwumezirim Jideaku, Onwuagba Grace Chinwe, Amaku Grace Ebele, Ude Anayo Dominic, Acholonu Chidinma Annivena, Mohammed Kabir Dahiru |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2568 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 18 |
| Journal No. | 2 |
| Page no. | 144-154 |
| Keyword | Oguta Lake, Physicochemical parameters, Principal component analysis, Water quality index |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | Assessment of spatial and temporal changes in surface water is an important aspect in theinterpretation of physicochemical data. Sixteen physical and chemical parameters monitoredat four sampling stations along Oguta Lake, Nigeria were analyzed during a one-year period.A total of 48 samples were collected from each station. The Principal Component Analysis(PCA) technique was used to evaluate the spatial and temporal relationships of the waterquality parameters. The Water Quality Index (WQI) was calculated by using the procedureof a weighted arithmetic index method. Five principal components, accounting for 88.72%of the total variances of information contained in the original data set were obtained. Theresults revealed that water depth, conductivity, iron, calcium and nitrate-nitrogen were themost important variables contributing to water physicochemical properties of the lake. Thecalculated water quality index of Oguta lake was 2649.12 thus making Oguta Lake unsuitablefor drinking. The structural factor loadings (eigenvectors) followed a decreasing order of organicmatter and inorganic fertilizer (28.68%), dissolved pollutants and climatic factors (22.05%),industrial waste (16.57%), parent rock influence (11.13%) primary productivity (10.28%)as the major factors responsible for the modification of the surface water quality of the area.Principal component analysis reduces original dimensions to make multiple variables into afew comprehensive index. |
