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

Tochukwu Anyachebelu; Marc Conrad; Tahmina Ajmal

doi:10.1109/INTECH.2014.6927775

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

Tochukwu Anyachebelu
, Marc Conrad
, Tahmina Ajmal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Original language	English
Title of host publication	4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	146-151
ISBN (Print)	9781479942336
DOIs	https://doi.org/10.1109/INTECH.2014.6927775
Publication status	Published - 20 Oct 2014
Event	Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014) - Luton Duration: 13 Aug 2014 → 15 Aug 2014

Conference

Conference	Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014)
City	Luton
Period	13/08/14 → 15/08/14
Other	Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014) (13/08/2014-15/08/2014, Luton)

Keywords

correlations
prediction
sensors
water quality

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10.1109/INTECH.2014.6927775

https://ieeexplore.ieee.org/document/6927775

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Anyachebelu, T., Conrad, M., & Ajmal, T. (2014). Surface water quality prediction system for Luton Hoo lake: A statistical approach. In 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 (pp. 146-151). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTECH.2014.6927775

Anyachebelu, Tochukwu ; Conrad, Marc ; Ajmal, Tahmina. / Surface water quality prediction system for Luton Hoo lake: A statistical approach. 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 146-151

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title = "Surface water quality prediction system for Luton Hoo lake: A statistical approach",

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 = "correlations, prediction, sensors, water quality",

author = "Tochukwu Anyachebelu and Marc Conrad and Tahmina Ajmal",

year = "2014",

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booktitle = "4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014",

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note = "Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014) ; Conference date: 13-08-2014 Through 15-08-2014",

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Anyachebelu, T, Conrad, M & Ajmal, T 2014, Surface water quality prediction system for Luton Hoo lake: A statistical approach. in 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc., pp. 146-151, Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014), Luton, 13/08/14. https://doi.org/10.1109/INTECH.2014.6927775

Surface water quality prediction system for Luton Hoo lake: A statistical approach. / Anyachebelu, Tochukwu; Conrad, Marc ; Ajmal, Tahmina.
4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 146-151.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ajmal, Tahmina

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N2 - 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

AB - 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

KW - correlations

KW - prediction

KW - sensors

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DO - 10.1109/INTECH.2014.6927775

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EP - 151

BT - 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014)

Y2 - 13 August 2014 through 15 August 2014

ER -

Anyachebelu T, Conrad M , Ajmal T. Surface water quality prediction system for Luton Hoo lake: A statistical approach. In 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 146-151 doi: 10.1109/INTECH.2014.6927775

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

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