Abstract
In order to analyse recent trends and future world emission scenarios, a global analytical tool, namely GAINS-IAM (integrated assess model), has been proposed and developed. In this context, a global-scale multidimensional data cubes has been specified and devloped based on the Semantic Collective Cubing platform, which has also been introduced in our studying literature. In order to prove of our concepts, typical examples have been illustrated to present how the GAINS-IAM system supports the development of global science-driven policies.
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Binh, N.T. (2015). Integrated Assessment Model on Global-Scale Emissions of Air Pollutants. In: Le Thi, H., Nguyen, N., Do, T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-319-17996-4_31
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DOI: https://doi.org/10.1007/978-3-319-17996-4_31
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