Integrated Assessment System Sample Clauses

Integrated Assessment System. Notwithstanding there are already some IAM tools available for use at the urban scale, current assessment and planning is mainly based on scenario analysis approaches through the application of air quality models, which nowadays are used quite regularly. More complex methodologies, in which optimization algorithms are implemented, cannot embed full 3D deterministic multi-phase modelling systems for describing the nonlinear dynamics linking precursor emissions to air pollutant concentrations because of their computational requirements. They therefore rely on simplified relationships for describing the relationship between the emissions and the air quality which are called source-receptor (SR) relationships. If it is true that a linearization works at european/national scale, at regional level or at low spatial resolutions it is still unclear to what extent the nonlinear dynamics in the formation and accumulation of secondary pollution can - be ignored or underestimated . Future research will need to assess the importance of non-linearities in IAM, focusing also on proper “Design of Experiments” methods, on one hand to maximise the information used to identify SR relationship and on the other hand for practical reasons to limit the number of chemical transport model simulations required to derive these SR relationships. It is important to note that IA can at the current stage of development in the air quality sector not be thought of as a specific procedure and, even less, as a unique tool. At regional and local level in the EU, besides the obvious physical differences, there is also a large variability in the detail of available data and an even larger disparity in the decisional power of the involved agencies. IA must thus be interpreted as an approach which flexibly links decision making, air quality dynamics, emission reduction costs and health impacts to suit the capabilities and requirements of each regional/local situation. In fact, different models are designed and implemented to approach different spatial scales (from regional, to local, to street level). Future research should study how to integrate these different scales and to build an IAM system able to connect different “scale- dependent” approaches, and to model policies from regional, to local, to street scale. Uncertainty estimates are an essential element of integrated assessment. Uncertainty, information is not intended to directly dispute the validity of the assessment estimates, but to h...
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