Modelling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @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