Title :
Surface water quality prediction system for Luton Hoo lake: A statistical approach
Author :
Anyachebelu, Tochukwu K. ; Conrad, Marc ; Ajmal, Tahmina
Author_Institution :
Center for Wireless Res., Univ. of Bedfordshire, Luton, UK
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.
Keywords :
lakes; water pollution; water quality; Luton Hoo lake; United Kingdom; aquatic healthy living; dissolved oxygen; lake monitoring; statistical approach; surface water contaminants; surface water quality prediction system; Conductivity; Correlation; Lakes; Monitoring; Water pollution; Water resources; Prediction; Sensors; correlations; water quality;
Conference_Titel :
Innovative Computing Technology (INTECH), 2014 Fourth International Conference on
Conference_Location :
Luton
DOI :
10.1109/INTECH.2014.6927775