References
- Rosman, PC, 1989. "Circulation models in shallow water bodies". In: Vieira da Silva, RC, ed. Numerical Methods in Water Resources. Rio de Janeiro: ABRH; 1989. p. 381, (in Portuguese).
- Harris, J, et al., 1984. A preliminary model of the dispersal and biological effect of toxin in the Tamar estuary, England, Ecol. Model. 22 (1984), pp. 253–284.
- Nielsen, K, Nielsen, LP, and Rasmussen, P, 1995. Estuarine nitrogen retention independently estimated by the denitrification rate and mass balance methods: a study of Norsminde Fjord, Denmark, Mar. Ecol. Prog. Ser. 119 (1995), pp. 275–283.
- Revelli, R, and Ridolfi, L, 2004. Nonlinear convection-dispersion models with a localized pollutant source i: direct initial boundary value problems, Math. Comp. Model. 39 (2004), pp. 1023–1034.
- Revelli, R, and Ridolfi, L, 2005. Nonlinear convection-dispersion models with a localized pollutant source, II – a class of inverse problems, Math. Comp. Model. 42 (2005), pp. 601–612.
- Giacobbo, F, Marseguerra, M, and Zio, E, 2002. Solving the inverse problem of parameter estimation by the genetic algorithms: the case of a groundwater contaminant transport model, Ann. Nucl. Energy 29 (2002), pp. 967–981.
- Bobba, AG, Singh, VP, and Bengtsson, L, 2000. Application of environment models to different hydrological systems, Ecol. Model. 125 (2000), pp. 15–49.
- Dohertyand, J, and Skahill, BE, 2006. An advanced regularization methodology for use in watershed model calibration, J. Hydrol. 327 (2006), pp. 564–577.
- Denves, JA, Barbosa, AR, and da Silva, GQ, 2006. Longitudinal dispersion coefficient quantification model of streams, Eng. San. Ambient. 11 (2006), pp. 269–276, (in Portuguese).
- Barbosa, AR, et al., 2005. Direct methods for the determination of the longitudinal dispersion coefficient in natural bodies of water part 1 – theoretical fundaments, Rev. Esc. Minas. 58 (2005), pp. 27–32, (in Portuguese).
- Barbosa, AR, et al., 2005. Direct methods for the determination of the longitudinal dispersion coefficient in natural bodies of water part 2 – application and comparison of methods, Rev. Esc. Minas. 58 (2005), pp. 139–145, (in Portuguese).
- Rodrigues, PPGW, 2003. "Modelling nitrous oxide production in two contrasting". In: British estuaries: the Forth and The Tyne, PhD Thesis. University of Newcastle upon Tyne; 2003. p. 155.
- Elder, JW, 1959. The dispersion of marked fluid in turbulent shear flow, J. Fluid Mech. 5 (1959), pp. 544–560.
- Fischer, HB, 1959. Mixing in Inland and Coastal Waters. London: Academic Press; 1959. p. 483.
- Maliska, CR, 2004. Computational Heat Transfer, LTC. 2004, LTC-Livros Técnicos e Cientificos, Rio de Janeiro (in Portuguese).
- Neto, AJSilva, 2002. "Explicit and implicit formulations for inverse radiative transfer problems, Proceedings of 5th world congress on computational mechanics". In: Mini-symposium MS125 – Computational Treatment of Inverse Problems in Mechanics. Vienna, Austria. 2002.
- Neto, AJSilva, and Soeiro, FJCP, 2003. "Solution of implicitly formulated inverse heat transfer problems with hybrid methods". In: Mini-Symposium Inverse Problems from Thermal/Fluids and Solid Mechanics Applications – 2nd MIT Conference on Computational Fluid and Solid Mechanics. Cambridge, USA. 2003.
- Dowding, KJ, Blackwell, BF, and Cochran, RJ, 1999. Applications of sensitivity coefficients for heat conduction problems, Numer. Heat Transfer 36 (1999), pp. 33–55.
- Beck, JV, 1988. Combined parameter and function estimation in heat transfer with application to contact conductance, J. Heat Transfer 110 (1988), pp. 1046–1058.
- Amaral, K, 2003. Macaé estuary: modelling as a tool for an integrated management of water resources. Rio de Janeiro, RJ, Brazil: COPPE/UFRJ; 2003. p. 150, M.Sc. Thesis, (in Portuguese).
- Marquardt, DW, 1963. An algorithm for least-squares estimation of nonlinear parameters, J. Soc. Industr. Appl. Math. 11 (1963), pp. 431–441.
- Gallant, AR, 1987. Nonlinear statistical models. New York: Wiley; 1987.
- Flach, GP, and Özisik, MN, 1989. Inverse heat conduction problem of simultaneously estimating spatially varying thermal conductivity and heat capacity per unit volume, Numer. Heat Transfer 16 (1989), pp. 249–266.