|Paper title||Water Quality Emergency Monitoring Services for Lake Pien-Saimaa in Finland|
|Form of presentation||Poster|
The main objective of the H2020 funded project Water Quality Emergency Monitoring Service (wqems.eu/) is to provide operational water quality information to environmental authorities and water utilities industry in relation to the quality of the ‘water we drink’. To reach this goal, the project focuses its activities on monitoring of lakes using a variety of information sources.
The project includes altogether five pilot areas in Greece, Italy, Spain, Germany, and Finland. This work focuses on Lake Pien-Saimaa which is a medium-size lake in southeastern Finland. It is an important source of fresh water for the city of Lappeenranta with water intake located in the southern part of the lake. Lake Pien-Saimaa is fragmented and includes several islands, and it exhibits variable and site-specific water quality features. Lake Pien-Saimaa has substantial intrinsic value to the local population and its many small islands and beaches serve as a location for many holiday houses and recreational activities. The main anthropogenic pollution sources (e.g., phosphorus load) are the surrounding agricultural, and peat production areas and the industrial point-source of Kaukas pulp and paper mill. The main concern in the lake is monitoring algal blooms for early warning purposes.
The EO based data flow utilizes Copernicus Sentinel-2 images processed by the Finnish Environment Institute (SYKE). SYKE provides information on water chlorophyll a concentration and turbidity as maps and timeseries from small areas in various parts of the lake. In situ observations are gathered from bottle samples that are analyzed in laboratory and with instruments installed to an automated water monitoring station located near the water intake. These data are used for the validation and calibration of satellite data. The spatial and temporal behavior of water quality parameters is visualized for end users through TARKKA map service operated by SYKE.
The poster will present results from the EO processing, in situ data collection and the visualization of the results.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Action programme under Grant Agreement No 101004157.