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General The real time monitoring of water quality involves the deployment of sensors, which measure specific water quality parameters (eg: turbidity, chlorophyll-a, dissolved oxygen, temperature, and salinity). These sensors are connected to data loggers, which store and transmit the data to a designated location such as a web site. The delay in receiving the water quality information can be as little as 1 hour. This type of system is especially useful for logging water quality that is influenced by diurnal or tidal cycles (eg: salinity in an estuary or dissolved oxygen). This type of monitoring is also useful for providing warnings of algal blooms (eg: by continually monitoring chlorophyll-a). Protocol There is no standard protocol for real time monitoring. It is noted that for these types of systems specialist advice is necessary as each application is unique. The following link will take you to Hornsby Council’s Algal Bloom Warning System. http://marlin.mhl.nsw.gov.au/fl2fax/horc83021.html. Please see the guideline at the end of this protocol for accessing this site. Costs The costs involved in real time monitoring are dependant upon the location of the sensors, accessibility, water quality parameters to be measured, QA/QC required etc. As such, no standard costs are available. Case studies McPherson and Grove – Abstract – Algal Bloom Early
Warning System Coastal CRS – Brisbane River Water Quality Monitoring Sydney Water – Reservoir Monitoring Real time water quality monitoring – trials and tribulations Las Vegas WASH Committee – Real time water quality monitoring GIS and Real Time Water Quality Monitoring Project Christensen, V.G., Rasmussen, P.P and Zielgler, A.C. (2002) Real-time water quality monitoring and regression analysis to estimate nutrient and bacteria concentrations in Kansas Streams. Water Science and Technology 45 (9) pp 205-211. People Contacts Dr David van Senden Sydney Water Corporation Organisation Contacts |
Internal Links Algal Species Density and Diversity Desktop Monitoring Using Satellite Data |
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