Stochastic Modelling of Soil Moisture

Authors

  • Vanita Jha Senior Research Fellow, Department of Irrigation and Drainage Engg., GBPUA&T, Pantnagar 263145. Author
  • Raj Vir Singh Professor and Head, Department of Soil and Water Engg., College of Technology and Engineering, Udaipur 313001 Author
  • S R Bhakar Associate Professor, Department of Soil and Water Engg., College of Technology and Engineering, Udaipur 313001 Author

DOI:

https://doi.org/10.52151/jae2003404.1056

Abstract

The study was conducted to develop a stochastic model for the soil moisture data of 19 years (1980-1998) for an average depth of 3D-em. The soil moisture series was assumed to be composed of periodic and stochastic component as the trend component was found to be insignificant. The autoregressive stochastic model was fitted to the soil moisture data. By statistical analysis the closeness between generated and historical series was observed. The developed model was then validated by generating data for the last 3 years (1999 -2001) and compared it with observed data for the same years. Mean and standard deviation of the model was found to be very close to observed data, which proves the validity of model.

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References

Doob, J.L.1953. Stochastic Processes. Wiley, New York.

Kottegoda, N.T. 1980. Stochastic Water Resource Technology. The Macmillan Press Ltd., London.

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Published

2003-12-31

Issue

Vol. 40 No. 4 (2003)

Section

Regular Issue

How to Cite

Vanita Jha, Raj Vir Singh, & S R Bhakar. (2003). Stochastic Modelling of Soil Moisture. Journal of Agricultural Engineering (India), 40(4), 51-56. https://doi.org/10.52151/jae2003404.1056