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Implementation of the rule based agent for microcystis in Rietvlei dam
Expanded Title:In a study done by Van Ginkel (2008) an early warning/prediction tool (a real-time rule-based agent) for Microcystis aeruginosa blooms was developed and validated by means of a merged limnological time-series dataset of the hypertrophic reservoirs Hartbeespoort, Rietvlei and Roodeplaat Dams using hybrid evolutionary algorithms (HEA). This rule set was then tested on data from two other hypertrophic dams, Bon Accord and Klipvoor Dams that had not been used in the training data set. The agent proved to be generic for the five warm, temperate and hypertrophic reservoirs, four of which were monomictic and one dimictic. Although this model has already been validated conceptually, there is a need for the model to be validated operationally and the data to be used should be statistically validated for it to be acceptable as a prediction tool. In this study the prediction tool (CEGAP), for Microcystis aeruginosa, was validated operationally using data obtained from the Rietvlei Dam WTW. However, due to the recent deployment of the SolarBees, data from Bronkhorstspruit Dam was also used for further validation. The prediction tool (CEGAP) has been prepared in a ready-to-use Excel (2007) format and can be used by local water resource managers to predict blooms up to 28 days forward. With the aid of this predicting tool the proper drinking water treatment procedures can be incorporated in advance, in order to ensure the production of safe drinking water. Thereby, managing the risk imposed by the cyanobacterial blooms in the water resource, on drinking water facilities and the health of recreational users. The following were the aims of the project: 1. To compile a recent ecological overview of the water quality of the Rietvlei Dam and to describe the process configuration and advanced treatment options already employed to produce potable water. 2. To investigate the effect of habitat disturbance created by long distance circulation of the SolarBees on the development of cyanobacterial blooms and water quality. 3. To implement the prediction tool CEGAP and evaluate its performance as an early warning/prediction tool for water treatment works’ managers.
Date Published:14/03/2014
Document Type:Research Report
Document Subjects:Water Resource Management/IWRM - Dams (Impoundment), Drinking water - Water treatment, R & D - Methodology
Document Keywords:Water Quality
Document Format:Report
Document File Type:pdf
Research Report Type:Standard
WRC Report No:1962/1/13
ISBN No:978-1-4312-0554-7
Authors:Barnard S; Van Ginkel CE; Coetzee LZ; Booyens S
Project No:K5/1962
Organizations:North West University; Crypsis Environmental Consulting; CSV Water
Document Size:1 278 KB
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