Application of water quality index for pollution detection at Luton Hoo lake

Tochukwu Kene Anyachebelu; Marc Conrad; David M. Rawson; Tahmina Ajmal

doi:10.1109/ICSENS.2015.7370182

Application of water quality index for pollution detection at Luton Hoo lake

Tochukwu Kene Anyachebelu
, Marc Conrad
, David M. Rawson
, Tahmina Ajmal

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

5 Citations (Scopus)

Abstract

This study investigated contamination problems through physical and chemical surface water monitoring. The physical parameters were temperature, conductivity and turbidity while the chemical parameters were dissolved oxygen, pH and ammonium. These parameters were measured at two locations on the lake to monitor the water quality and possible sources of contamination. We evaluated the relationship of the measured parameters to contamination sources and its effect on the water quality. The collected data from the installed multi parameter sensors were analyzed to assess the difference in values at the different sensor locations based on a water quality index.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
DOIs	https://doi.org/10.1109/ICSENS.2015.7370182
Publication status	Published - 7 Jan 2016
Event	SENSORS, 2015 IEEE - Duration: 1 Nov 2015 → 4 Nov 2015

Conference

Conference	SENSORS, 2015 IEEE
Period	1/11/15 → 4/11/15
Other	SENSORS, 2015 IEEE (01/11/2015-04/11/2015)

Keywords

Environment
Water
Water Quality Index

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10.1109/ICSENS.2015.7370182

http://ieeexplore.ieee.org/document/7370182/

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@inproceedings{0d45bc15bd8a4d2390a2ff9b01bcb680,

title = "Application of water quality index for pollution detection at Luton Hoo lake",

abstract = "This study investigated contamination problems through physical and chemical surface water monitoring. The physical parameters were temperature, conductivity and turbidity while the chemical parameters were dissolved oxygen, pH and ammonium. These parameters were measured at two locations on the lake to monitor the water quality and possible sources of contamination. We evaluated the relationship of the measured parameters to contamination sources and its effect on the water quality. The collected data from the installed multi parameter sensors were analyzed to assess the difference in values at the different sensor locations based on a water quality index.",

keywords = "Environment, Water, Water Quality Index",

author = "Anyachebelu, \{Tochukwu Kene\} and Marc Conrad and Rawson, \{David M.\} and Tahmina Ajmal",

year = "2016",

month = jan,

day = "7",

doi = "10.1109/ICSENS.2015.7370182",

language = "English",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "SENSORS, 2015 IEEE ; Conference date: 01-11-2015 Through 04-11-2015",

}

TY - GEN

T1 - Application of water quality index for pollution detection at Luton Hoo lake

AU - Anyachebelu, Tochukwu Kene

AU - Conrad, Marc

AU - Rawson, David M.

AU - Ajmal, Tahmina

PY - 2016/1/7

Y1 - 2016/1/7

N2 - This study investigated contamination problems through physical and chemical surface water monitoring. The physical parameters were temperature, conductivity and turbidity while the chemical parameters were dissolved oxygen, pH and ammonium. These parameters were measured at two locations on the lake to monitor the water quality and possible sources of contamination. We evaluated the relationship of the measured parameters to contamination sources and its effect on the water quality. The collected data from the installed multi parameter sensors were analyzed to assess the difference in values at the different sensor locations based on a water quality index.

AB - This study investigated contamination problems through physical and chemical surface water monitoring. The physical parameters were temperature, conductivity and turbidity while the chemical parameters were dissolved oxygen, pH and ammonium. These parameters were measured at two locations on the lake to monitor the water quality and possible sources of contamination. We evaluated the relationship of the measured parameters to contamination sources and its effect on the water quality. The collected data from the installed multi parameter sensors were analyzed to assess the difference in values at the different sensor locations based on a water quality index.

KW - Environment

KW - Water

KW - Water Quality Index

U2 - 10.1109/ICSENS.2015.7370182

DO - 10.1109/ICSENS.2015.7370182

M3 - Conference contribution

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - SENSORS, 2015 IEEE

Y2 - 1 November 2015 through 4 November 2015

ER -

Application of water quality index for pollution detection at Luton Hoo lake

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Conference

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