Chock, D. P., Whalen, M. J., Winkler, S. L., and Sun, P.: Implementing the trajectory-grid transport algorithm in an air quality model, Atmos. Environ., 39, 4015–4023, https://doi.org/10.1016/j.atmosenv.2005.03.037, 2005.
Escobar, J. M. and Montenegro, R.: Several aspects of three-dimensional Delaunay triangulation, Adv. Eng. Softw., 27, 27–39, https://doi.org/10.1016/0965-9978(96)00006-3, 1996.
Escobar, J. M., Rodr\'iguez, E., Montenegro, R., Montero, G., and González-Yuste, J. M.: Simultaneous untangling and smoothing of tetrahedral meshes, Comput. Method. Appl. M., 192, 2775–2787, https://doi.org/10.1016/S0045-7825(03)00299-8, 2003.
Ferragut, L., Montenegro, R., and Plaza, A.: Efficient refinement/derefinement algorithm of nested meshes to solve evolution problems, Commun. Numer. Meth. En., 10, 403–412, https://doi.org/10.1002/cnm.1640100506, 1994.
Ferragut, L., Montenegro, R., Montero, G., Rodríguez, E., Asensio, M., and Escobar, J. M.: Comparison between 2.5-D and 3-D realistic models for wind field adjustment, J. Wind Eng. Ind. Aerod., 98, 548–558, https://doi.org/10.1016/j.jweia.2010.04.004, 2010.
Finlayson-Pitts, B. J. and Pitts, J. N.: Tropospheric Air Pollution: Ozone, Airborne Toxics, Polycyclic Aromatic Hydrocarbons, and Particles, Science, 276, 1045–1051, https://doi.org/10.1126/science.276.5315.1045, 1997.
González-Yuste, J. M., Montenegro, R., Escobar, J. M., Montero, G., and Rodr\'iguez, E.: Local refinement of 3-D triangulations using object-oriented methods, Adv. Eng. Softw., 35, 693–702, https://doi.org/10.1016/j.advengsoft.2003.07.003, 2004.
Hanjalić, K. and Kenjereš, S.: Dynamic simulation of pollutant dispersion over complex urban terrains: A tool for sustainable development, control and management, Energy, 30, 1481–1497, https://doi.org/10.1016/j.energy.2004.05.001, 2005.
Jimenez, P., Baldasano, J. M., and Dabdub, D.: Comparison of photochemical mechanisms for air quality modeling, Atmos. Environ., 37, 4179–4194, https://doi.org/10.1016/S1352-2310(03)00567-3, 2003.
Kirchner, F.: The chemical mechanism generation programme CHEMATA – Part 1: The programme and first applications, Atmos. Environ., 39, 1143–1159, https://doi.org/10.1016/j.atmosenv.2004.09.086, 2005.
Kley, D.: Tropospheric Chemistry and Transport, Science, 276, 1043–1044, https://doi.org/10.1126/science.276.5315.1043, 1997.
Lagzi, I., Kármán, D., Turányi, T., Tomlin, A. S., and Haszpra, L.: Simulation of the dispersion of nuclear contamination using an adaptive Eulerian grid model, J. Environ. Radioactiv., 75, 59–82, https://doi.org/10.1016/j.jenvrad.2003.11.003, 2004.
Lin, C.-J. and Moré, J. J.: Incomplete Cholesky factorizations with limited memory, SIAM J. Sci. Comput., 21, 24–45, https://doi.org/10.1137/S1064827597327334, 1999.
Mart\'in, M. J., Singh, D. E., Mouriño, J. C., Rivera, F. F., Doallo, R., and Bruguera, J. D.: High performance air pollution modeling for a power plant environment, Parallel Comput., 29, 1763–1790, https://doi.org/10.1016/j.parco.2003.05.018, 2003.
McRae, G. J., Goodin, W. R., and Seinfeld, J. H.: Development of a second-generation mathematical model for Urban air pollution – I. Model formulation, Atmos. Environ, 16, 679–696, https://doi.org/10.1016/0004-6981(82)90386-9, 1982.
Montenegro, R., Montero, G., Escobar, J. M., Rodr\'iguez, E., and González-Yuste, J. M.: Tetrahedral Mesh Generation for Environmental Problems over Complex Terrains, in: Computational Science — ICCS 2002, edited by: Sloot, P., Hoekstra, A., Tan, C., and Dongarra, J., vol. 2329 of \em Lecture Notes in Computer Science\/, 335–344, Springer Berlin/Heidelberg, 2002.
Montenegro, R., Montero, G., Escobar, J. M., Rodríguez, E., and González-Yuste, J. M.: 3-D Adaptive Wind Field Simulation Including Effects of Chimney Emissions, in: Proceedings of WCCM VI/APCOM'04, Beijing, China, Tsinghua University Press and Springer-Verlag, 2004.
Montero, G. and San\'in, N.: 3-D modelling of wind field adjustment using finite differences in a terrain conformal coordinate system, J. Wind Eng. Ind. Aerod., 89, 471–488, https://doi.org/10.1016/S0167-6105(00)00075-1, 2001.
Montero, G., Montenegro, R., and Escobar, J. M.: A 3-D diagnostic model for wind field adjustment, J. Wind Eng. Ind. Aerod., 74–76, 249–261, https://doi.org/10.1016/S0167-6105(98)00022-1, 1998.
Montero, G., Montenegro, R., Escobar, J. M., Rodr\'iguez, E., and González-Yuste, J. M.: Velocity Field Modelling for Pollutant Plume Using 3-D Adaptive Finite Element Method, in: Computational Science – ICCS 2004, edited by: Bubak, M., van Albada, G., Sloot, P., and Dongarra, J., vol. 3037 of \em Lecture Notes in Computer Science\/, 642–645, Springer Berlin/Heidelberg, 2004.
Montero, G., Rodríguez, E., Montenegro, R., Escobar, J. M., and González-Yuste, J. M.: Genetic algorithms for an improved parameter estimation with local refinement of tetrahedral meshes in a wind model, Adv. Eng. Softw., 36, 3–10, https://doi.org/10.1016/j.advengsoft.2004.03.011, 2005.
Moore, D. J.: A comparison of the trajectories of rising buoyant plumes with theoretical/empirical models, Atmos. Environ., 8, 441–457, https://doi.org/10.1016/0004-6981(74)90060-2, 1974.
Olcese, L. E. and Toselli, B. M.: Development of a model for reactive emissions from industrial stacks, Environ. Modell. Softw., 20, 1239–1250, https://doi.org/10.1016/j.envsoft.2004.08.008, 2005.
Ravishankara, A. R.: Heterogeneous and Multiphase Chemistry in the Troposphere, Science, 276, 1058–1065, https://doi.org/10.1126/science.276.5315.1058, 1997.
Rodr\'{i}guez-Ferran, A. and Sandoval, M. L.: Numerical performance of incomplete factorizations for 3D transient convection-diffusion problems, Adv. Eng. Softw., 38, 439–450, https://doi.org/10.1016/j.advengsoft.2006.09.003, 2007.
Ropp, D. L., Shadid, J. N., and Ober, C. C.: Studies of the accuracy of time integration methods for reaction–diffusion equations, J. Comput. Phys., 194, 544–574, https://doi.org/10.1016/j.jcp.2003.08.033, 2004.
Sandu, A., Verwer, J., Loon, M. V., Carmichael, G., Potra, F., Dabdub, D., and Seinfeld, J.: Benchmarking stiff ODE solvers for atmospheric chemistry problems – I. Implicit vs explicit, Atmos. Environ., 31, 3151–3166, https://doi.org/10.1016/S1352-2310(97)00059-9, 1997.
Saylor, R. D. and Ford, G. D.: On the comparison of numerical methods for the integration of kinetic equations in atmospheric chemistry and transport models, Atmos. Environ., 29, 2585–2593, https://doi.org/10.1016/1352-2310(95)00187-4, 1995.
Scire, J. S., Strimaitis, D. G., and Yamartino, R. J.: A User's Guide for the Calpuff Dispersion Model (version 5), Earth Tech., Inc, Concord, MA., 2000.
Szopa, S., Aumont, B., and Madronich, S.: Assessment of the reduction methods used to develop chemical schemes: building of a new chemical scheme for VOC oxidation suited to three-dimensional multiscale HO
x-NO
x-VOC chemistry simulations, Atmos. Chem. Phys., 5, 2519–2538, https://doi.org/10.5194/acp-5-2519-2005, 2005.
Tomlin, A., Ghorai, S., Hart, G., and Berzins, M.: 3-D Multi-scale air pollution modelling using adaptive unstructured meshes, Environ. Modell. Softw., 15, 681–692, https://doi.org/10.1016/S1364-8152(00)00038-4, 2000.
Verwer, J. G., Spee, E. J., Blom, J. G., and Hundsdorfer, W.: A Second-Order Rosenbrock Method Applied to Photochemical Dispersion Problems, SIAM J. Sci. Comput., 20, 1456–1480, https://doi.org/10.1137/S1064827597326651, 1999.
Winter, G., Montero, G., Ferragut, L., and Montenegro, R.: Adaptive strategies using standard and mixed finite elements for wind field adjustment, Sol. Energy, 54, 49–56, https://doi.org/10.1016/0038-092X(94)00100-R, 1995.
Zannetti, P.: Air Pollution Modeling, Computational Mechanics Publications, Boston, 1990.
Zlatev, Z.: Computer Treatment of Large Air Pollution Models, Kluver Academic Publishers, Dordrecht, 1995.