Local scale air quality modelling based on CMAQ forecast data A. Oliver, A. Perez-Foguet, Laboratori de Càlcul Numèric (LaCàN) Departament de Matemàtica.

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Presentation transcript:

Local scale air quality modelling based on CMAQ forecast data A. Oliver, A. Perez-Foguet, Laboratori de Càlcul Numèric (LaCàN) Departament de Matemàtica Aplicada III Universitat Politècnica de Catalunya - Barcelonatech

Motivation 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 2 Use CMAQ model with prediction capabilities to predict the air quality in a local scale using a Finite Element model Local scale domain: 16x16km 2

Algorithm  Construction of a mesh Mesh adapted to the terrain Adapted to the CMAQ layers  CMAQ data interpolation Horizontal and vertical interpolation from data  Wind field adjustment Mass consistent model  Pollutant dispersion modeling Wind field plume rise perturbation Transport and reaction pollutant simulation 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 3

Mesh construction  Two dimensional triangular mesh of terrain Stack discretization  Vertical spacing following layers  Three dimensional tetrahedral mesh creation  Smoothing and untangling in order to guarantee a minimum quality 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 4

Mesh construction 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 5 Layer construction  Layer by later two-dimensional mesh  Element size depends on curvature  Layers are flattened in order to get coarser meshes in the upper layer

Mesh construction 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 6 Stack inclusion

Mesh construction 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 7 Generated mesh

 Bilinear interpolation in all the layers  Height correction  Vertical linear interpolation CMAQ data interpolation 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 8 ······· Real terrain CMAQ terrain ____

CMAQ data interpolation 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 9 Interpolated SO 2 concenctration Interpolated SO 4 concenctration

Wind field modeling  Mass-consistent model  Lagrange multiplier 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 10

Wind field modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 11

Plume rise modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 12  Briggs formula Buoyant (wc < 4Vo)‏ Driving-force: gas temperature difference Curved trajectory Momentum (wc > 4Vo)‏ Driving-force: Gas velocity Vertical straight trajectory

Plume rise modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 13

Air quality modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 14 Stack outflow Inlet wind boundaries Outlet wind boundaries Initial condition

Air quality modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 15 RIVAD reactive model (4 species)

Air quality modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 16 Splitting Strang Splitting Rosembrock 2 J = Jacobian s(c)

Air quality modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 17  Temporal discretization: Cranck-Nicolson  Spatial discretization: Least Squares FEM  System solver: Conjugate gradient preconditioned with an Incomplete Cholesky Factorization  Matrix storage: sparse MCS

Air quality modeling 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 18 Plume evolution Concentration slices

Conclusions  CMAQ forecast data can be used as the initial and boundary conditions in a local scale air quality model  At least a mass consistent model is essential  Splitting and FEM resolution is an efficient technique to solve the problem  A more realistic reactive model can be used 12th EMS Annual Meeting & 9th European Conference on Applied Climatology | September 2012 | 19