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Project Description


         In this Project, improvements to the physical-mathematical models, that we have developed in previous coordinated projects (between Universitat Politècnica de Catalunya, Universidad de Salamanca and Universidad de Las Palmas de Gran Canaria), are proposed. Moreover, in this new proposal the Instituto Tecnológico de Canarias (two researchers are included), Tecnosylva company (two researchers are included) and the Agencia Estatal de Meteorología (two researchers are also included) are considered active EPOs in coordinated project. In addition, Red Eléctrica de España is interested in the following of the project. Specifically, we will study new alternatives for (a) wind field simulation over complex terrain and urban environment, (b) the modelling of pollutant emissions and non-linear chemistry, (c) data assimilation for forest fires models and improvement by extension to multilayer models and improvement of the computational efficiency and (d) an adaptive solar radiation model considering the beam, diffuse and reflected radiation, as well as the effect of terrain shadows.


         In addition, advanced numerical techniques such as discontinuous Galerkin schemes for Navier-Stokes and transport-reaction problems, space and time adaptive techniques, time integration schemes for non-linear reaction models, parameter estimation and parallel computing, will be considered. We will develop a new adaptive tetrahedral mesh generation technique, based on the meccano method, the construction of 3-D isogeometric models with T-meshes and new techniques for mesh optimization. The main objective of the project is the combination of our local approaches with predictive mesoscale models such as MM5, WRF, HIRLAM or HARMONIE for weather, and CMAQ or MOCAGE for air quality. These models usually solves the problems by using finite difference methods on an structured grid (defined on several nested domains) and can predict atmospheric magnitudes with a maximum resolution about 1 Km. The combination of these predictive models with our adaptive finite element models, which work with triangular or tetrahedral unstructured meshes, will allow us to carry out predictive simulations in a local scale accurately (about a few meters). In this way, the terrain characteristics and solution will be efficiently approximated according to a desired precision. An important objective of the project is the implementation and validation of efficient codes for the realistic simulation of environmental problems, and their technology transfer to the EPOs.


Latest Update: 24/10/2013