Lakes and reservoirs are under continuous pressure from urbanization and agricultural intensification, and from changes in climate, including an increasing occurrence of extreme climatic events.
These pressures can reduce water quality by promoting the occurrence of nuisance algal blooms and higher levels of dissolved organic carbon (DOC), two issues that can substantially increase the costs for water treatment. In PROGNOS, we will develop an integrated approach that couples high frequency (HF) lake monitoring data to dynamic water quality models to forecast short-term changes in these two specific water quality threats. This will potentially provide a greater window of opportunity over which to make water quality management decisions, and will increase the value of HF monitoring data, ensuring that their potential to guide water quality management is fully realised.
The project consortium includes expertise from European sites that have been involved in the forefront of HF monitoring systems since the late 1990s, expertise in modelling algal blooms and DOC levels, and expertise in assessing societal benefits from changes in water management.
Post-doc 1, Ireland A post-doc position is available for three years working on high frequency monitoring data from lakes and rivers, based in the Marine Institute facility in Mayo, Ireland and employed by Dundalk Institute of Technology (working with Eleanor Jennings (DkIT) … Continued
A poster of the PROGNOS project was presented at a Water JPI workshop on “emerging pollutants, including pathogens”. The workshop was held at the Federal Ministry of Agriculture, Forestry, Environment and Water Management in Vienna, Austria, on the 30th November 2016. … Continued
As part of the collaboration between Stockholm Vatten (a PROGNOS stakeholder) and Uppsala University, Stockholm Vatten’s profiling monitoring buoy at the Lovö water treatment plant was upgraded with assistance from Luode consulting. The newly upgraded system will provide information on … Continued
A new, exciting and very useful publication in Environmental Science and Technology from the NETLAKE COST Action (www.netlake.org) on using automatic monitoring to manage lakes and reservoirs is now available as an open access article. This Critical Review by Marce … Continued
The Norwegian PROGNOS partners from NIVA recently visited the Langtjern site for a fall sensor maintenance and check-up before the start of winter.
The NETLAKE Deployment Toolbox, guidelines on everything you wanted to know about setting up an automated monitoring station, is now online at www.netlake.org. They will be of use to both water managers and researchers. Each of the 14 factsheets on deployment … Continued
The Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research (IOLR), is seeking a postdoctoral researcher to set up and run lake ecosystem models based on high-frequency data, automated calibration routines and short-term weather forecasts in order to provide short-term predictions … Continued
Background To produce predictions of lake water quality, it is important that the lake thermal structure is simulated by a lake physical model and that the output from this model is reliable and accurate. The accuracy of the model output … Continued
QGIS analysis output of the sun/shadow conditions at the Lemming site where shadow casts from terrain obstacles (trees, buildings etc.) are accounted for. Results render conditions for the 5 January 2015 from sunrise to sunset. More information on methodologies please … Continued