Modelling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach

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@Article{jeongGP1,
  author =       "Kwang-Seuk Jeong and Dong-Kyun Kim and 
                 Peter Whigham and Gea-Jae Joo",
  title =        "Modelling Microcystis aeruginosa bloom dynamics in the
                 Nakdong River by means of evolutionary computation and
                 statistical approach",
  journal =      "Ecological Modelling",
  year =         "2003",
  volume =       "161",
  number =       "1-2",
  pages =        "67--78",
  month =        "1 " # mar,
  keywords =     "genetic algorithms, genetic programming, Multivariate
                 linear regression, Microcystis aeruginosa, Algal
                 blooms, Ecological modelling, Nakdong River",
  URL =          "http://www.business.otago.ac.nz/infosci/SIRC/PeterW/Publications/Jeong_EcolMod_V161_Is_1_2_pg67_78.pdf",
  URL =          "http://www.sciencedirect.com/science/article/B6VBS-47VRMKR-4/2/816a2fac74d51d8caefedf1f9c2055b0",
  DOI =          "doi:10.1016/S0304-3800(02)00280-6",
  size =         "12 pages",
  abstract =     "Dynamics of a bloom-forming cyanobacteria (Microcystis
                 aeruginosa) in a eutrophic river?reservoir hybrid
                 system were modelled using a genetic programming (GP)
                 algorithm and multivariate linear regression (MLR). The
                 lower Nakdong River has been influenced by cultural
                 eutrophication since construction of an estuarine
                 barrage in 1987. During 1994?1998, the average
                 concentrations of nutrients and phytoplankton were:
                 NO3-?N, 2.7 mg l-1; NH4+?N, 0.6 mg l-1; PO43-?P, 34.7 g
                 l-1; and chlorophyll a, 50.2 g l-1. Blooms of M.
                 aeruginosa occurred in summers when there were
                 droughts. Using data from 1995 to 1998, GP and MLR were
                 used to construct equation models for predicting the
                 occurrence of M. aeruginosa. Validation of the model
                 was done using data from 1994, a year when there were
                 severe summer blooms. GP model was very successful in
                 predicting the temporal dynamics and magnitude of
                 blooms while MLR resulted rather insufficient
                 predictability. The lower Nakdong River exhibits
                 reservoir-like ecological dynamics rather than
                 riverine, and for this reason a previous river
                 mechanistic model failed to describe uncertainty and
                 complexity. Results of this study suggest that an
                 inductive-empirical approach is more suitable for
                 modelling the dynamics of bloom-forming algal species
                 in a river?reservoir transitional system.",
  notes =        "a Department of Biology, Pusan National University,
                 Jang-Jeon Dong, Gum-Jeong Gu, Busan 609-735, South
                 Korea b Department of Information Science, University
                 of Otago, PO Box 56, Dunedin, New Zealand",
}

Genetic Programming entries for Kwang-Seuk Jeong Dong-Kyun Kim Peter Alexander Whigham Gea-Jae Joo

Citations