Stochastic modelling of relative humidity at Banswara

Authors

  • S. R. BHAKAR Department of Soil and Water Engineering, College of Technology and Engineering, MPUAT, Udaipur-313001, Rajasthan
  • RAJ VIR SINGH Department of Soil and Water Engineering, College of Technology and Engineering, MPUAT, Udaipur-313001, Rajasthan
  • NEERAJ CHHAJED Department of Soil and Water Engineering, College of Technology and Engineering, MPUAT, Udaipur-313001, Rajasthan
  • ANIL KUMAR BANSAL Department of Soil and Water Engineering, College of Technology and Engineering, MPUAT, Udaipur-313001, Rajasthan

DOI:

https://doi.org/10.54386/jam.v10i1.1171

Keywords:

Stochastic, Auto correlation function, Auto regression, Relative humidity

Abstract

Study was conducted to develop stochastic model for monthly minimum and maximum relative humidity using 12 years (1992-2003) data of Banswara. The performed statistical test indicates that the series of monthly minimum and maximum relative humidity data are trend free. Their periodic components  can be presented satisfactorily by the second harmonics. The stochastic components of both monthly minimum and maximum relative humidity follow second order Markov model. Validation of generated was made with measured series. A high correlation coefficient of 0.9980 and 0.9976 for mean monthly minimum and maximum relative humidity respectively was observed. The correlation was tested by ttest and found to be highly significant at 1 per cent level. The standard error is quite low. The regression equation was very close to 1:1 line. Therefore, the developed model could be used for future prediction of mean monthly minimum and maximum relative humidity, at Banswara.

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Published

01-06-2008

How to Cite

S. R. BHAKAR, RAJ VIR SINGH, NEERAJ CHHAJED, & ANIL KUMAR BANSAL. (2008). Stochastic modelling of relative humidity at Banswara. Journal of Agrometeorology, 10(1), 53–58. https://doi.org/10.54386/jam.v10i1.1171

Issue

Vol. 10 No. 1 (2008): June

Section

Research Paper

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