Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment

Banda, P, Cemek, B and Kucuktopcu, E 2018, 'Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment', Archives of Agronomy and Soil Science, vol. 64, no. 7, pp. 916-929.


Document type: Journal Article
Collection: Journal Articles

Title Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment
Author(s) Banda, P
Cemek, B
Kucuktopcu, E
Year 2018
Journal name Archives of Agronomy and Soil Science
Volume number 64
Issue number 7
Start page 916
End page 929
Total pages 14
Publisher Taylor & Francis
Abstract In this paper, the daily reference evapotranspiration (ET0) for Bulawayo Goetz was estimated from climatic data using neuro computing techniques. The region lacks reliable weather data and experiences inconsistencies in the measuring process due to inadequate and obsolete measuring equipment. This paper aims to propose neuro computing techniques as an alternative methodology to estimating evapotranspiration. Firstly, ET0 was calculated using FAO-56 Penman-Monteith (PM) equation from available climatic data. Data was divided into training, testing and validation for neuro computing purposes. The study also investigated the effect of different normalisation techniques on neuro computing ET0 estimation accuracy. In another application, neuro-computing ET0 estimates were compared against those obtained using empirical methods and their calibrated versions. The Z-score normalisation technique for all data sets gave best results with a Multi-layer perceptron (55-1) model having RMSE, MAE and R2 values in the range 0.120.25 mm day?1, 0.080.15 mm day?1 and 0.940.99 respectively. There were no significant differences in ET0 estimation accuracy by neuro computing techniques due to normalisation technique. The Neuro computing techniques were superior to empirical methods in ET0 estimation for Bulawayo Goetz. The Neuro computing techniques are recommended for use in cases of limited climatic data at Bulawayo Goetz.
Subject Environmental Sciences not elsewhere classified
Keyword(s) empirical methods
neuro computing
normalisation
Reference evapotranspiration
DOI - identifier 10.1080/03650340.2017.1414196
Copyright notice © 2017 Informa UK Limited, trading as Taylor & Francis Group
ISSN 0365-0340
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