Surface water quality prediction system for Luton Hoo lake: A statistical approach
| dc.contributor.author | Anyachebelu, Tochukwu Kene | |
| dc.contributor.author | Conrad, Marc | |
| dc.contributor.author | Ajmal, Tahmina | |
| dc.date.accessioned | 2023-12-11T12:42:36Z | |
| dc.date.available | 2023-12-11T12:42:36Z | |
| dc.date.issued | 2014-03-05 | |
| dc.description.abstract | Lake monitoring is a necessity for aquatic healthy living. Stakeholders are particularly interested not just in the aesthetics but also in the quality of water bodies. Our work tends to initially analyze historic data of the sensed water quality parameters at Luton Hoo lake to detect outliers. Dissolved oxygen has been predicted from available data since its one of the major surface water contaminants | en_US |
| dc.identifier.citation | Anyachebelu, T.K. Et al. (2014) Surface water quality prediction system for Luton Hoo lake: A statistical approach | en_US |
| dc.identifier.uri | https://keffi.nsuk.edu.ng/handle/20.500.14448/2043 | |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science, Nasarawa State University Keffi | en_US |
| dc.subject | Prediction, Sensors, correlations, water quality | en_US |
| dc.title | Surface water quality prediction system for Luton Hoo lake: A statistical approach | en_US |
| dc.type | Presentation | en_US |