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

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    Authors
    Anyachebelu, Tochukwu Kene
    Conrad, Marc
    Ajmal, Tahmina
    Affiliation
    University of Bedfordshire
    Issue Date
    2014-10-20
    Subjects
    water quality
    prediction
    correlations
    sensors
    Subject Categories::H122 Water Quality Control
    
    Metadata
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    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
    Citation
    Anyachebelu T, Conrad M, Ajmal T (2014) 'Surface water quality prediction system for Luton Hoo lake: A statistical approach', Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014) - Luton, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/624206
    DOI
    10.1109/INTECH.2014.6927775
    Additional Links
    https://ieeexplore.ieee.org/document/6927775
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781479942336
    ae974a485f413a2113503eed53cd6c53
    10.1109/INTECH.2014.6927775
    Scopus Count
    Collections
    Computing

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