Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique
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Volume 129, Issue 3
Abstract
This paper examines the potential of artificial neural networks (ANN) in estimating the actual crop evapotranspiration (ET) from limited climatic data. The study employed radial-basis function (RBF) type ANN for computing the daily values of ET for rice crop. Six RBF networks, each using varied input combinations of climatic variables, have been trained and tested. The model estimates are compared with measured lysimeter ET. The results of the study clearly demonstrate the proficiency of the ANN method in estimating the ET. The analyses suggest that the crop ET could be computed from air temperature using the ANN approach. However, the present study used a single crop data for a limited period, therefore further studies using more crops as well as weather conditions may be required to strengthen these conclusions.
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References
Allen, R. G.(1986). “A Penman for all seasons.” J. Irrig. Drain. Eng., 112(4), 348–368.
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000). “Artificial neural networks in hydrology. II: Hydrologic applications.” J. Hydrol. Eng., 5(2), 124–137.
Chen, S., Cowan, C. F. N., and Grant, P. M.(1991). “Orthogonal least squares learning algorithm for radial basis function networks.” IEEE Trans. Neural Netw., 2(2), 302–309.
Daniel, T. M. (1991). “Neural networks: Applications in hydrology and water resources engineering.” Proc., Int. Hydrology and Water Resources Symp., Institution of Engineers, Perth, Australia, 797–802.
Doorenbos, J., and Pruitt, W. O. (1997). “Crop water requirements.” Irrigation and Drainage, Paper 24, Food and Agricultural Organization of the United Nations, Rome (revised).
Fernando, D. A., and Jayawardena, A. W.(1998). “Runoff forecasting using RBF networks with OLS algorithm.” J. Hydrol. Eng., 3(3), 203–209.
Food and Agriculture Organization of the United Nations (FAO). (1991). “Expert consultation on revision of FAO methodologies for crop water requirements.” Rep. A, Land and Water Development Division, Rome.
Hargreaves, G. H.(1975). “Moisture availability and crop production.” Trans. ASAE, 18(5), 980–984.
Hargreaves, G. H., and Samani, Z.(1985). “Reference crop evapotranspiration from temperature.” Appl. Eng. Agric., 1(2), 96–99.
Leonardis, A., and Bischof, H.(1998). “An efficient MDL-based construction of RBF networks.” Neural Networks, 11, 963–973.
Monteith, J. L.(1981). “Evaporation and surface temperature.” Q.J.R. Meteorol. Soc.,107, 1–27.
Nash, J. E., and Sutcliffe, J. V.(1970). “River flow forecasting through conceptual models: 1. A discussion of principles.” J. Hydrol., 10, 282–290.
Pereira, L. S., Perrier, A., Allen, R. G., and Alves, I.(1999). “Evapotranspiration: Concepts and future trends.” J. Irrig. Drain. Eng., 125(2), 45–51.
Steele, R. G. D., and Torrie, J. H. (1960). Principles and procedures of statistics with special reference to the biological sciences, McGraw-Hill, New York.
Sudheer, K. P. (2000). “Modeling hydrological processes using neural computing technique.” PhD thesis, Indian Institute of Technology, Delhi.
Thornthwaite, C. W.(1948). “An approach toward a rational classification of climate.” Geophys. Rev.,38(1), 55–94.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 129 • Issue 3 • June 2003
Pages: 214 - 218
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Dec 6, 2000
Accepted: Jul 3, 2002
Published online: May 15, 2003
Published in print: Jun 2003
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