Baltic Sea water quality digital twin (contact: email@example.com)active 18 hours, 34 minutes ago
Coastal environments in particularly heavily populated areas are strongly affected by human activities. Baltic sea condition is affected by climate change in terms of increase of water temperature, decrease of ice extent and increase of annual mean precipitation. All these changes affect the sea ecosystem and human activities depending on the sea. Human impact on the Baltic Sea is a key factor of declining conditions of the Baltic Sea. Multiple environmental factors affect the ecosystem. Climate and other human-induced pressures vary significantly between different regions in the Baltic Sea. To mitigate these negative effects, policy makers, city planners, etc. from smart cities and the European Union need a data management & data fusion system of diverse marine environmental data at the highest resolution and precision to monitor the condition and ecosystem of the Baltic Sea. This will give cities, government, and city residents and other cities a monitoring tool of Baltic Sea water quality close to real time based on satellite data fusion with other in situ water quality local datasets which provide a situational picture.
We invite partners from Baltic Sea Region interested in data fusion and monitoring service for coastal area water quality. Our aim is to create a monitoring tool of Baltic Sea water quality close to real time based on satellite data fusion with other in situ water quality local datasets which provide a situational picture. To achieve this goal to we will create digital twin of pilot areas, using already existing data such as chlorophyll-A concentration, sea temperature and other data. New data sources and their time series should be added such as salinity, sea ice, oxygen concentration, wind rose, sea surface height and layers that characterise sea biochemistry as new layers on map interface. Also, open data, data from marine monitoring service, SYKE, FMI, NASA can be added to the current data fusion model. Moreover, Time series analysis of chlorophyll A areas over defined locations can be calculated from satellite data. The analysis of average chlorophyll-A values in Finnish Baltic Sea coastal areas and other Baltic sea areas, their change over time and trend line can be used as a key factor to assessing marine and coastal water quality over time and access which progress has been made over time towards Baltic Sea water quality (marine and coastal).
To summarise, in this call we propose to develop data management & data fusion systems for Baltic Sea Region, open sea as well as enrich marine data layers from Copernicus MARINE, satellite data, SYKE, Finnish meteorological Institute, NASA and add in situ observations. We are searching and welcoming partners for this project idea.