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.
In a study linked to the PROGNOS project, researchers from the Department of Bioscience and Arctic Research Centre (ARC) at Aarhus University, Silkeborg, Denmark have published a new article, “Synergy between nutrients and warming enhances methane ebullition from experimental lakes“, … Continued
One of the PROGNOS project sites, Lough Feeagh in the Burrishoole catchment in Ireland, featured in a recent Irish TV programme Eco eye on the issues relating to dissolved organic carbon exported from peatlands, and possible disinfection by-products in drinking water. … Continued
We are looking for a postdoc to work on the WATexR project (http://www.jpi-climate.eu/nl/25223453-WATExR.html ) here in Newport. The general subject areas are seasonal forecasts, salmonids, eel, limnology, ecological modelling and QGIS, with plenty of scope for analysis of long term … Continued
The Department of Limnology at Uppsala University, Sweden is searching for a Post Doctoral researcher specializing in lake modeling. The post doc will participate in three projects. Common to all projects is the use mathematical models to predict lake hydrothermal … Continued
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
Lake Erken is one site where PROGNOS models are being tested and developed. The Erken Laboratory run by Uppsala University has been a site for limnological research since 1946 (Pettersson 2012), but in early years the research efforts were linked … Continued
Introduction Sensitivity analysis is used in modelling to identify which parameters and forcing data variables that a model is sensitive to (Bueche & Vetter, 2014; Pianosi et al., 2016). This procedure is beneficial because it: 1) helps in the understanding … Continued
To optimize data applicability and smooth the step from data collection to data utilization a new QA/QC procedure has been developed for the experimental lake facility in Lemming. The workflow is intended to be executed automatically on a daily basis … Continued
Have you ever wondered what it costs to install automated high frequency monitoring equipment in a lake and how this could be beneficial for you? In PROGNOS we started to collect data about the costs for basic monitoring equipment, single … Continued
Test of calibration tool for Danish lakes In the modelling group in Denmark, we have for some time been testing the autocalibration tool developed by BB – i.e. “acpy”. Acpy is currently running for the main Prognos site in Denmark … Continued
Waters draining peatland catchments often have a brown colour due to high levels of dissolved organic matter (DOM) leached from the peaty soils. These organic substances can react with chlorine that is added as a disinfectant during water treatment to … 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