Modeling and prediction of surface water contamination using on-line sensor data
MetadataShow full item record
AbstractWater 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.
CitationAnyachebelu TK, Conrad M, Ajmal T (2014) 'Modeling and prediction of surface water contamination using on-line sensor data', International Journal on Smart Sensing and Intelligent Systems, 7 (5), pp.1-5.
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International