New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @Article{Traore20131,
-
author = "Seydou Traore and Aytac Guven",
-
title = "New algebraic formulations of evapotranspiration
extracted from gene-expression programming in the
tropical seasonally dry regions of West Africa",
-
journal = "Irrigation Science",
-
year = "2013",
-
volume = "31",
-
number = "1",
-
pages = "1--10",
-
month = jan,
-
keywords = "genetic algorithms, genetic programming, Gene
Expression Programming, Algebraic formulae, Burkina
Faso, Complex functions, Conventional methods, Critical
variables, Dry region, Meteorological data, Modelling
process, Predictive abilities, Reference
evapotranspiration, Sub-Saharan Africa, Weather data,
West Africa, Algebra,Meteorology, Water supply,
accuracy assessment, agrometeorology, climate
modelling, data set, seasonality, Burkina Faso, Joturus
pichardi",
-
ISSN = "0342-7188",
-
URL = "http://link.springer.com/article/10.1007%2Fs00271-011-0288-y",
-
DOI = "doi:10.1007/s00271-011-0288-y",
-
size = "10 pages",
-
abstract = "Within hydrological nonlinear complex functions,
taking only few parameters into the modelling process
is still a challenging task. The present paper has for
objective to investigate for the first time the
predictive ability of the Gene-expression Programming
(GEP) for modeling reference evapotranspiration (ETo)
using routing weather data from the tropical seasonally
dry regions of West Africa in Burkina Faso. The regions
under study are located in three agro-climatic zones,
Bobo Dioulasso in the Guinea Savanna zone, and Dedougou
and Fada N'Gourma in the Sudan zone, and Ouagadougou in
the Sudano-Sahelian Savanna zone. Several
meteorological data combinations are used as inputs to
the GEP to estimate ETo, and their performances are
evaluated using R-squared and RMSE. Statistically, it
was found that GEP can be an alternative to the
conventional methods, and its accuracy improves
significantly up to R-squared (0.979) and RMSE(0.108)
when critical variables are taking into account in the
model. The results revealed that GEP model is fairly a
promising approach with the advantage to provide
successfully simple algebraic formulas ease to use
without recourse to the full set of meteorological data
requirement for accurately estimate ETo in Sub-Saharan
Africa regions.",
-
affiliation = "Department of Irrigation Development and Planning of
the Ministry of Agricultural, Hydraulic and Fisheries
Resources, 03 BP 7053 Ouagadougou 03, Burkina Faso;
Department of Civil Engineering, University of
Gaziantep, 27310 Gaziantep, Turkey",
-
correspondence_address1 = "Guven, A.; Department of Civil Engineering,
University of Gaziantep, 27310 Gaziantep, Turkey;
email: aguven@gantep.edu.tr",
-
language = "English",
-
document_type = "Article",
- }
Genetic Programming entries for
Seydou Traore
Aytac Guven
Citations