Genetic programming-based mathematical modeling of influence of weather parameters in BOD5 removal by Lemna minor

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

@Article{Sivapragasam:2017:EMA,
  author =       "Chandrasekaran Sivapragasam and 
                 Sankararajan Vanitha and Neelakandhan Nampoothiri and 
                 Ram Kumar Mahalakshmi",
  title =        "Genetic programming-based mathematical modeling of
                 influence of weather parameters in {BOD5} removal by
                 {Lemna minor}",
  journal =      "Environmental Monitoring and Assessment",
  year =         "2017",
  volume =       "189",
  number =       "12",
  pages =        "607",
  month =        "4 " # nov,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1573-2959",
  URL =          "https://www.ncbi.nlm.nih.gov/pubmed/29103069",
  URL =          "https://doi.org/10.1007/s10661-017-6337-0",
  DOI =          "doi:10.1007/s10661-017-6337-0",
  size =         "12 pages",
  abstract =     "This study, through extensive experiments and
                 mathematical modeling, reveals that other than
                 retention time and wastewater temperature (Tw),
                 atmospheric parameters also play important role in the
                 effective functioning of aquatic macrophyte-based
                 treatment system. Duckweed species Lemna minor is
                 considered in this study. It is observed that the
                 combined effect of atmospheric temperature (Tatm), wind
                 speed (Uw), and relative humidity (RH) can be reflected
                 through one parameter, namely the apparent temperature
                 (Ta). A total of eight different models are considered
                 based on the combination of input parameters and the
                 best mathematical model is arrived at which is
                 validated through a new experimental set-up outside the
                 modeling period. The validation results are highly
                 encouraging. Genetic programming (GP)-based models are
                 found to reveal deeper understandings of the wetland
                 process.",
  notes =        "Western Ghats in Virudhunagar District of Tamil Nadu,
                 India

                 See also \cite{Sivapragasam:2017:EMA}",
}

Genetic Programming entries for C Sivapragasam Sankararajan Vanitha N V N Nampoothiri Ram Kumar Mahalakshmi

Citations