A wavelet-linear genetic programming model for sodium (Na+) concentration forecasting in rivers
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Ravansalar:2016:JH,
-
author = "Masoud Ravansalar and Taher Rajaee and
Mohammad Zounemat-Kermani",
-
title = "A wavelet-linear genetic programming model for sodium
(Na+) concentration forecasting in rivers",
-
journal = "Journal of Hydrology",
-
volume = "537",
-
pages = "398--407",
-
year = "2016",
-
ISSN = "0022-1694",
-
DOI = "doi:10.1016/j.jhydrol.2016.03.062",
-
URL = "http://www.sciencedirect.com/science/article/pii/S0022169416301767",
-
abstract = "Summary The prediction of water quality parameters in
water resources such as rivers is of importance issue
that needs to be considered in better management of
irrigation systems and water supplies. In this respect,
this study proposes a new hybrid wavelet-linear genetic
programming (WLGP) model for prediction of monthly
sodium (Na+) concentration. The 23-year monthly data
used in this study, were measured from the Asi River at
the Demirkoepru gauging station located in Antakya,
Turkey. At first, the measured discharge (Q) and Na+
datasets are initially decomposed into several
sub-series using discrete wavelet transform (DWT).
Then, these new sub-series are imposed to the ad hoc
linear genetic programming (LGP) model as input
patterns to predict monthly Na+ one month ahead. The
results of the new proposed WLGP model are compared
with LGP, WANN and ANN models. Comparison of the models
represents the superiority of the WLGP model over the
LGP, WANN and ANN models such that the Nash-Sutcliffe
efficiencies (NSE) for WLGP, WANN, LGP and ANN models
were 0.984, 0.904, 0.484 and 0.351, respectively. The
achieved results even points to the superiority of the
single LGP model than the ANN model. Continuously, the
capability of the proposed WLGP model in terms of
prediction of the Na+ peak values is also presented in
this study.",
-
keywords = "genetic algorithms, genetic programming, Water
quality, Na+ concentration, Data driven model",
- }
Genetic Programming entries for
Masoud Ravansalar
Taher Rajaee
Mohammad Zounemat-Kermani
Citations