Why have so many enterprises supported the Clean Baltic Sea project?
The bad condition of the Baltic Sea affects us all. Each enterprise can, with their actions and by their example, promote more sustainable values with regard to the natural environment in society. Supporting concrete Baltic Sea protection activities through the Clean Baltic Sea project, enterprises have an opportunity take participate in activities that are perceived as important which most enterprises cannot affect within the limits of their own activities and industry.
The Clean Baltic Sea project provides concrete results, the outcomes are measurable and the projects cost-effective. The project has convinced numerous enterprise supporters to invest in a cleaner sea.
Why did the Foundation launch the project?
For a long time, the Board of the John Nurminen Foundation has been concerned over the current condition of the Baltic Sea. The Clean Sea Fund and project were launched at the initiative of Juha Nurminen, the Chairman of the Board of the Foundation, and its aim is to provide concrete, cost-effective and fast help to the Baltic Sea.
Are the models and research outcomes presented in the project reliable?
The Foundation has used as background information, for example, the Baltic Sea model already in use in Finland, which is also utilised by Finland’s Environmental Administration in their algae forecasts. The model is owned by the Environmental Impact Assessment Centre of Finland Ltd (EIA Ltd) and Finland’s Environmental Administration and it has been used in numerous scientific publications. All the other materials are based on research and expert statements from Finland’s Environmental Administration, the Finnish Maritime Administration and the Kotka Maritime Research Centre, to name but a few.
Models always entail uncertainties which, among other things, are based on the simplifications made for the models. Moreover, the fluctuating annual rainfall in the Baltic Sea region affects the nutrient load. Computer modelling is the only way to indicatively predict the effects a certain measure may have on the environment and the development of the state of the environment.
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