<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Water contamination is a great disadvantage to humans and aquatic life. Maintaining the aesthetics and quality of water bodies is a priority for environmental stake holders. The water quality sensor data can be analyzed over a period of time to give an indication of pollution incidents and could be a useful forecasting tool. Here we show our initial finding from statistical analysis on such sensor data from one of the lakes of the river Lea, south of Luton. Our initial work shows patterns which will form the basis for our forecasting model.</p></abstract>

Water contamination is a great disadvantage to humans and aquatic life. Maintaining the aesthetics and quality of water bodies is a priority for environmental stake holders. The water quality sensor data can be analyzed over a period of time to give an indication of pollution incidents and could be a useful forecasting tool. Here we show our initial finding from statistical analysis on such sensor data from one of the lakes of the river Lea, south of Luton. Our initial work shows patterns which will form the basis for our forecasting model.

Modeling and Prediction of Surface Water Contamination using On-line Sensor Data

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Modeling and Prediction of Surface Water Contamination using On-line Sensor Data"}

Water contamination is a great disadvantage to humans and aquatic life. Maintaining the aesthetics and quality of water bodies is a priority for environmental...

Modeling and Prediction of Surface Water Contamination using On-line Sensor Data

Online veröffentlicht: 15. Feb. 2020

Seitenbereich: 1 - 5

DOI: https://doi.org/10.21307/ijssis-2019-117

Schlüsselwörter
Water quality, sensors, prediction, statistics

© 2019 Authors., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Modeling and Prediction of Surface Water Contamination using On-line Sensor Data

Online veröffentlicht: 15. Feb. 2020

Seitenbereich: 1 - 5

DOI: https://doi.org/10.21307/ijssis-2019-117

SchlüsselwörterWater quality, sensors, prediction, statistics

© 2019 Authors., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Water quality, sensors, prediction, statistics