Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment. Issue 7 (7th June 2018)
- Record Type:
- Journal Article
- Title:
- Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment. Issue 7 (7th June 2018)
- Main Title:
- Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment
- Authors:
- Banda, Paul
Cemek, Bilal
Küçüktopcu, Erdem - Abstract:
- 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 (5–5-1) model having RMSE, MAE and R 2 values in the range 0.12–0.25 mm day −1, 0.08–0.15 mm 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.
- Is Part Of:
- Archives of agronomy and soil science. Volume 64:Issue 7(2018)
- Journal:
- Archives of agronomy and soil science
- Issue:
- Volume 64:Issue 7(2018)
- Issue Display:
- Volume 64, Issue 7 (2018)
- Year:
- 2018
- Volume:
- 64
- Issue:
- 7
- Issue Sort Value:
- 2018-0064-0007-0000
- Page Start:
- 916
- Page End:
- 929
- Publication Date:
- 2018-06-07
- Subjects:
- Reference evapotranspiration -- neuro computing -- normalisation -- empirical methods
Horticulture -- Periodicals
Soils -- Periodicals
630.5 - Journal URLs:
- http://www.tandf.co.uk/journals/titles/03650340.asp ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/03650340.2017.1414196 ↗
- Languages:
- English
- ISSNs:
- 0365-0340
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1630.923000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6466.xml