Sistema de blogs Diarium
Universidad de Salamanca
Mabel Asensio Sevilla
Dpto. Matemática Aplicada
 
Patio Físicas

Publicaciones

Artículos en revistas internacionales.

  1. Asensio, M.I.; Cascón, J.M.; Laiz, P.; Prieto-Herráez, D. (2023) Validating the effect of fuel moisture content by a multivalued operator in a simplified physical fire spread model. Environmental Modelling & Software, 164, 105710 https://doi.org/10.1016/j.envsoft.2023.105710
  2. Asensio, M.I.; Cascón, J.M.; Prieto-Herráez, D.; Ferragut, L. (2023) An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods. Applied Sciences. 13, 2035. https://doi.org/10.3390/app13042035
  3. Marcos López-De-Castro, Diego Prieto-Herráez, María Isabel Asensio-Sevilla, Gianni Pagnini (2022) A high-resolution fuel type mapping procedure based on satellite imagery and neural networks: Updating fuel maps for wildfire simulators, Remote Sensing Applications: Society and Environment, 27. https://doi.org/10.1016/j.rsase.2022.100810
  4. Asensio MI, Ferragut L, Álvarez D, Laiz D, Cascón JM, Prieto D, Pagnini G (2021) PhyFire: An Online GIS-Integrated Wildfire Spread Simulation Tool Based on a Semiphysical Model. In: Asensio M.I., Oliver A., Sarrate J. (eds) Applied Mathematics for Environmental Problems. SEMA SIMAI Springer Series, vol 6. Springer, Cham.
  5. D. Prieto, L. Frías, J.M. Cascón, S. Lagüela, M. Gastón, M.I. Asensio, I. Martín, P.M. Fernandes, P. Laiz, O.F. Carrasco, C. Sáez, E. Hernández, L. Ferragut, D. González. (2021) Local wind speed forecasting based on WRF-HDWind coupling. Atmospheric Research, 248
  6. M.I. Asensio, M.T. Santos-Martín, D. Álvarez-León, L. Ferragut (2020) Global sensitivity analysis of fuel-type-dependent input variables of a simplified physical fire spread model. Mathematics and Computers in Simulation, 172, pp. 33-44
  7. Hernández, A., Álvarez, D., Asensio, M.I., Rodríguez, S. (2020). Mobile Architecture for Forest Fire Simulation Using PhyFire-HDWind Model. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). SOCO 2019. Advances in Intelligent Systems and Computing, vol 950. Springer, Cham.
  8. D. Prieto, M. I. Asensio, L. Ferragut, J. M. Cascón, A. Morillo, A GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field modelInternational Journal of Geographical Information Science, vol. 31 (11), pp. 2142–2163 (2017).
  9. D. Álvarez, D. Prieto, M. I. Asensio, J. M. Cascón, L. Ferragut, Parallel implementation of a simplified semi-physical wildland fire spread model using OpenMP. In Hybrid Artificial Intelligent Systems: 12th International Conference, HAIS 2017, La Rioja, Spain, June 21–23, 2017, Proceedings (edited by F. M. de Pisón, R. Urraca, H. Quintián and E. Corchado), Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence, vol. 10334 (22), pp 256–267. Springer International Publishing, Cham. (2017)
  10. D. Prieto, M.I. Asensio, L. Ferragut, J.M. Cascón, Sensitivity analysis and parameter adjustment in a simplified physical wildland fire model. Advances in Enginerring Software, 90 pp 98-106 (2015)
  11. L. Ferragut, M.I. Asensio. J.M. Cascón, D. Prieto, A Wildland Fire Physical Model Well Suited to Data Assimilation. Pure and Applied Geophysics, 172(1) pp 121-139 (2014)
  12. L. Ferragut, M.I. Asensio. J.M. Cascón, D. Prieto, A simplified wildland fire model applied to a real case. Proceedings of XXIII CEDYA / XIII CMA (2013) published by SEMA SIMAI Springer Series.
  13. L. Ferragut, M.I. Asensio. J.M. Cascón, D. Prieto, J. Ramírez. An efficient algorithm for solving a multi-layer convection-diffusion problem applied to air pollution problems. Advances in Engineering Software, 65 pp 191-199 (2013)
  14. L. Ferragut, M.I. Asensio, J. Simon. High definition local adjustment of 3D wind fields perfoming only 2D computations. International Journal for Numerical Methods in Biomedical Engineering27(4) pp 510-523 (2011)
  15. L. Ferragut, R. Montenegro, G. Montero, E. Rodríguez, M.I, Asensio, J.M. Escobar. Comparison between 2.5-D and 3-D realistic models for wind field adjustment. Journal of Wind Engineering and Industrial Applications98 pp 548-558 (2010)
  16. L. Ferragut, M.I. Asensio, S. Monedero, J. Ramírez. Scientific advances in fire modelling and its integration in a forest fire decision system. Modelling, Monitoring and Management on Forest Fire I. WIT Transactions on Ecology and the Environment119 pp 31-38 (2008)
  17. M.I. Asensio, B. Ayuso, G. Sangalli. Coupling stabilized finite element methods with finite difference time integration for advection-diffusion problems. Computer methods in applied mechanics and engineering196 pp 3475-3491 (2007)
  18. L. Ferragut, M.I. Asensio, S. Monedero. Modelling radiation and moisture content in fire spread. Communications in numerical methods in engineering23 pp 819-833 (2007)
  19. L. Ferragut, M.I. Asensio, S. Monedero. A numerical method for solving convection-reaction-diffusion multivalued equation in fire spread modelling. Advances in engineering software38(6) pp 366-371 (2007)
  20. M.I. Asensio, B. Ayuso, L. Ferragut, G. Sangalli. Numerical methods for modelling leaching of pollutants in soils and groundwater. Advances in engineering software38(6) pp 429-438 (2007)
  21. J.M. Cascón, L. Ferragut, M.I. Asensio. Space-time adaptive algorithm for the mixed parabolic problem. Numerische Mathematik103(3) pp 367-392 (2006)
  22. M.I. Asensio, L. Ferragut, S.Monedero,M.S: Rodríguez-Cruz, M.J. Sánchez-Martín, Numerical modelling for leaching in soils modified by cationic surfactant. Numerical Mathematics and Advances Applications, pp 1175-1183 (2006) PDF
  23. M.I. Asensio, B. Ayuso, G. Sangalli, Time-space & space-time elements for unsteady advection dominated problems. Numerical Mathematics and Advances Applications, pp328-335 (2006) PDF
  24. L. Ferragut, M.I. Asensio, S.Monedero, Modelling radiation and moisture content in fire spread. Numerical Mathematics and Advances Applications, pp 601-608 (2006) PDF
  25. M.I. Asensio, L. Ferragut, J. Simon, A convection model for fire spread simulation. Applied Mathematics Letters, 18 pp 673-677 (2005)
  26. F.J. Serón, D. Gutiérrez, J. Magallón, L. Ferragut, M. I. Asensio, The Evolution of a Wildland Forest Fire Front. The Visual Computer, 21, pp 152-169 (Marzo 2005) PDF
  27. M.I. Asensio, J.M. Cascón, L. Ferragut, A-posteriori error analysis of a mixed method for linear parabolic problem. Lecture Notes in Computer Science-ICCS 2004, 3037, pp 586-589 (2004) PDF
  28. M.I. Asensio, A. Russo, G. Sangalli, The Residual-Free Bubble numerical method with quadratic elements, Math. Models Methods Appl. Sci., 14 pp 641-661 (2004) PDF
  29. M.I. Asensio, L. Ferragut. On a wildland fire model with radiation. International Journal for Numerical Methods in Engineering5(1) pp 91-112 (2002)
  30. L. Ferragut, M.I. Asensio. Mixed finite element methods for a class of nonlinear reaction-diffusion problems. Neural, Parallel and Scientific Computations10(1) pp 91-112 (Mayo 2002) PDF
  31. M.I. Asensio, L. Ferragut. Total error estimates of mixed finite element methods for nonlinear reaction-diffusion equations. Neural, Parallel and Scientific Computations8(2) pp 169-190 (2000)
  32. R. Montenegro, A. Plaza, L. Ferragut, M. I. Asensio.  Application of a nonlinear evolution model to fire propagation. Nonlinear Analysis, Theory, Methods & Applications30(5) pp 2873-2882 (1997) PDF
  33. L. Ferragut, M.I. Asensio, R. Montenegro, A. Plaza, G. Winter, F.J. Serón. A model for fire simulation in landscapes. Computational Fluid Dynamics’96, pp 111-116 (1996)

Artículos en revistas nacionales

  1. L. Ferragut, M. I. Asensio,  Simulación de incendios forestales.  Boletín de la Sociedad Española de Matemática Aplicada SEMA27, pp 7-28 (Marzo 2004) PDF
  2. M. I. Asensio, L. Ferragut, J. Simon, Modelling of convective phenomena in forest fire. Revista de la Real Academia de las Ciencias, Serie A: Matemáticas96(3), pp 299-313 (2002) PDF

Preprints. Technical reports.

  1. M.I. Asensio, B. Ayuso, G. Sangalli. Coupling stabilized finite element methods with finite difference time integration for advection-diffusion problems. Technical Report IMATIPV-8 pp 1-32 (2006)
  2. M.I. Asensio, A. Russo, Stabilized Finite Elements with Matlab. Internal scientific paper of I.A.N.-C.N.R. 1274, pp 1-32 (2002), Pavía, Italia. PDF
  3. M.I. Asensio, L. Franca, A. Russo, A formulation based on Residual-Free Bubbles for a singular perturbation equation. Internal scientific paper of I.A.N.-C.N.R. 1273, pp 1-19 (2002), Pavía, Italia. PDF

Libros.

  1. J. A. Domínguez, A. Fernández, M. I. Asensio, F. J. Plaza, Mathematica:Fundamentos y Aplicaciones de la Informática en Matemáticas. Plaza Universitaria Ediciones, Salamanca (Noviembre 1994)
  2. J. A. Domínguez, A. Fernández, M. I. Asensio, F. J. Plaza, Algebra lineal. Planteamiento y resolución de problemas con Mathematica. Plaza Universitaria Ediciones, Salamanca (Junio 1995)
  3. J. A. Domínguez, A. Fernández, M. I. Asensio, F. J. Plaza, Algebra abstracta. Planteamiento y resolución de problemas con Mathematica. Plaza Universitaria Ediciones, Salamanca (Julio 1996)
  4. M. I. Asensio, J. A. Domínguez, A. Fernández, F. J. Plaza, Cálculo Numérico. Planteamiento y resolución de problemas con Mathematica. Plaza Universitaria Ediciones, Salamanca (Mayo 1997)
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