Daily Reference Evapotranspiration Estimation using Linear Regression and ANN Models
✍ Scribed by P. Mallikarjuna, S. A. Jyothy…
- Book ID
- 120797312
- Publisher
- Springer-Verlag
- Year
- 2012
- Tongue
- English
- Weight
- 884 KB
- Volume
- 93
- Category
- Article
- ISSN
- 2250-2149
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Evaporation estimates are needed for efficient management of water resources at a farm scale as well as at a regional or catchment scale. This paper presents application of artificial neural networks (ANN), statistical regression and climate based models viz.: Penman, Priestley-Taylor and Stephens a
## Abstract We develop linear regression equations to estimate location‐specific average annual reference evapotranspiration (ET~o~) using one or more of annual averages of: incoming solar radiation (__R__~s~), air temperature (__T__), relative humidity (RH), and wind speed (__U__). We also provide