Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment
| Autor: | Paul Banda, Bilal Cemek, Erdem Küçüktopcu |
|---|---|
| Přispěvatelé: | Ondokuz Mayıs Üniversitesi |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Estimation
Meteorology 0208 environmental biotechnology empirical methods Training (meteorology) Soil Science 02 engineering and technology Arid 020801 environmental engineering normalisation Climatic data neuro computing Evapotranspiration Weather data Environmental science Reference evapotranspiration Agronomy and Crop Science |
| DOI: | 10.1080/03650340.2017.1414196 |
| Popis: | KUCUKTOPCU, ERDEM/0000-0002-8708-2306 WOS: 000431521400003 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 (5-5-1) model having RMSE, MAE and R-2 values in the range 0.12-0.25mm day(-1), 0.08-0.15mm day(-1) and 0.94-0.99 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. |
| Databáze: | OpenAIRE |
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