Surface water quality prediction system for Luton Hoo lake: A statistical approach

Date

2014-03-05

Journal Title

Journal ISSN

Volume Title

Publisher

Department of Computer Science, Nasarawa State University Keffi

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

Description

Keywords

Prediction, Sensors, correlations, water quality

Citation

Anyachebelu, T.K. Et al. (2014) Surface water quality prediction system for Luton Hoo lake: A statistical approach

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