Suchergebnisse

Sustainable development poses a significant challenge to modern civilization. The current problems and crises underscore the urgent need to establish a sustainable society, marking a crucial milestone in human evolution. The concept of sustainability has gained increasing prominence as a scientific, social, and political concern. The European Union strongly emphasizes the transition to a circular economy as a sustainable approach to economic growth. This circular economy model, one of the transformative policies of the Green Deal, is intended to pave the way for a sustainable future. It is now recognized as one of several approaches to achieving sustainability, as it encompasses and interconnects the economic, social, and environmental aspects of sustainable development. The main objective of this paper is to assess the present state and progress of the circular economy in Slovakia, employing selected indicators within the context of transitioning from a linear to a circular economy.
Keywords: Circular economy. Sustainability. Municipal waste. Recycling rate. European Union countries.

AbstractConceptual model uncertainty and parameter uncertainty are dominant contributors to the total uncertainty of a radioecological model output. In the present study the focus is on conceptual model uncertainty, which is often not acknowledged. Conceptual model uncertainty is assessed by subtracting from the total uncertainty of the model output the propagated parameter uncertainty, obtained by means of Bayesian inference analysis. The conceptual model uncertainty is quantified for two process‐based models, which describe the interception of wet deposited pollutants under equilibrium and kinetic conditions, respectively. The natural variability due the chemical valence of the elements considered is accounted for in both models. Quantitative evidence has been obtained that the conceptual model uncertainty can contribute to the total uncertainty budget of the models for interception of wet deposited pollutants at least as much as, if not more than, parameter uncertainty.