Stochastic Modelling of Soil Moisture


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Authors

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

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 30-cm. 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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Submitted

2012-01-10

Published

2003-12-05

Issue

Vol. 40 No. 4 (2003)

Section

Articles

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How to Cite

Jha, V., Singh, R. V., & Bhakar, S. R. (2003). Stochastic Modelling of Soil Moisture. Journal of Agricultural Engineering, 40(4). https://epubs.icar.org.in/index.php/JAE/article/view/14176