JWARP  Vol.1 No.6 , December 2009
Stochastic Modelling of Actual Black Gram Evapotranspiration
Abstract: The study was undertaken to develop and evaluate evapotranspiration model for black gram (Vigna Mungo L.) crop under climatic conditions of Udaipur, India. Pan evaporation data for the duration of twenty three years (1978-2001) and measured black gram evapotranspiration data by electronic lysimeter for duration of kharif season of 2001 were used for analysis. Black gram is an important crop of Udaipur region. No sys-tematic study on modelling of black gram evapotranspiration was conducted in past under above said cli-matic conditions. Therefore, stochastic model was developed for the estimation of daily black gram evapotranspiration using 24 years data. Validation of the developed models was done by the comparison of the estimated values with the measured values. The developed stochastic model for black gram evapotran-spiration was found to predict the daily black gram evapotranspiration very accurately.
Cite this paper: nullP. PANDEY, V. PANDEY, R. SINGH and S. BHAKAR, "Stochastic Modelling of Actual Black Gram Evapotranspiration," Journal of Water Resource and Protection, Vol. 1 No. 6, 2009, pp. 448-455. doi: 10.4236/jwarp.2009.16054.

[1]   J. L. Doob, “Stochastic Processes,” Wiley, New York, 1953.

[2]   P. A. W. Lewis, “Some simple models for continuous variate time series,” Water Resource Bulletin, No. 21, pp. 635–644, 1985.

[3]   J. R. M. Hosking, “Fractional differencing modelling in hydrology,” Water Resources Bulletin, No. 21, pp. 670–682, 1985.

[4]   G. E. P. Box and G. M. Jenkins, “Time Series Analysis, Forecasting and Control,” Holden-Day, San Francisco, California, pp 553, 1976.

[5]   J. D. Salas, J. W. Dellur, V. Yevjevich and W. L. Lane, “Applied modelling of hydrologic time series,” Water Resources Publication, Littleton, Coloredo, pp. 484, 1980.

[6]   A. K. Sharma, “Stochastic Modelling for Forecasting Jakham River Inflows,” Ph.D. dissertation, Department of Soil and Water Conservation Engineering, College of Technology and Agricultural Engineering, Rajasthan Ag-ricultural University, Bikaner, pp. 259, 1998.

[7]   R. K. Gupta and R. Kumar, “Stochastic analysis of weekly evaporation values,” Indian Journal of Agricul-tural Engineering, Vol. 4, No. 34, pp. 140–142, 1994.

[8]   S. R. Bhakar, “Modelling of evaporation and evapotran-spiration under climatic conditions of udaipur,” Ph.D dis-sertation, Faculty of Agricultural Engineering, Depart-ment of Soil and Water Conservation Engineering, Col-lege of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, 2000.

[9]   D. Kumar, “Modelling of maize evapotranspiration under climatic conditions of Udaipur,” M.Tech dissertation, Faculty of Agricultural Engineering, Department of Soil and Water Conservation Engineering, College of Tech-nology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, 2001.

[10]   R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, “Crop evapotranspiration: guidelines for computing crop re-quirements,” Irrigation and Drainage Paper, Food and Agriculture Organization (FAO), Rome, Italy, No. 56, pp. 300, 1998.

[11]   N. T. Kottegoda, “Stochastic water resource technology,” The Macmillan Press Pvt. Ltd. London, pp. 384, 1980.