@article{fdi:010035583,
  title = {{B}iochemical modeling of the {N}hue {R}iver ({H}anoi, {V}ietnam) : practical identifiability analysis and parameters estimation},
  author = {{A}nh, {D}.{T}. and {B}onnet, {M}arie-{P}aule and {V}achaud, {G}. and {M}inh, {C}. {V}. and {P}rieur, {N}. and {D}uc, {L}. {V}. and {A}nh, {L}. {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}cological modeling of a complete river system integrates the knowledge of various disciplines. {T}he essential problems are to estimate how many parameters can fit into a context corresponding to a specific site and how to find identifiable parameter subsets given by the experimental layout, while avoiding over-parameterization of the model. {I}t is the aim of this paper to address this question for the parameters of a derivative version of the recently published case study of the river water quality model no. 1 ({RWQM}1 [{R}eichert, {P}., {B}orchardt, {D}., {H}enze, {M}., {R}auch, {W}., {S}hanahan, {P}., {S}omlyody, {L}., {V}anrolleghem, {P}., 2001. {R}iver {W}ater {Q}uality {M}odel no. 1 ({RWQM}1). {II}. {B}iochemical process equations. {W}ater {S}ci. {T}echnol. 43 (5),11-30]) of the {N}hue {R}iver and the periphery of {H}anoi city ({V}ietnam). {T}he selection of practically identifiable parameter subsets is discussed for typical boundary conditions as a function of the experimental layout and of the hydrological regimes (steady and unsteady states). {T}he results show that for steady state conditions, the field determination of principal environmental variables on an annual basis, a maximum nine kinetic parameters (among a total of 51 parameters) appear to be identifiable. {I}n an unsteady state condition, and with only three measured environmental variables, a maximum of three maximum kinetic rates (among a total of 42 parameters) can be identifiable. {T}he identifiable parameter subsets in both hydrological regimes are subject to parameter estimation. {T}he successful performance of the simulation of the post-estimated parameter model proves the usefulness of parameter estimation techniques employed in this study. ({C}) 2005 {E}lsevier {B}.{V}. {A}ll rights reserved.},
  keywords = {{RWQM}1 ; identifiability analysis ; parameter estimation ; collinearity index ; {N}hue {R}iver ; {H}anoi ; water quality ; urbanization ; biochemical modeling},
  booktitle = {},
  journal = {{E}cological {M}odelling},
  volume = {193},
  numero = {3-4},
  pages = {182--204},
  ISSN = {0304-3800},
  year = {2006},
  DOI = {10.1016/j.ecolmodel.2005.08.029},
  URL = {https://www.documentation.ird.fr/hor/fdi:010035583},
}