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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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  • ThesisItemOpen Access
    Probability Models for Spatial and Temporal Distributions of Rainfall in Haryana
    (CCSHAU, 2015) Bhushana Babu, V.; Hooda, B.K.
    The present investigation was carried to study probability models for spatial and temporal distributions of rainfall in Haryana. Various probability distributions describing daily, weekly and monthly rainfall behavior in Haryana were applied. The daily rainfall data of 34 years (1971 to 2005) were used covering 42 rainfall stations across Haryana. Exponential, gamma, Gumbel, lognormal and Weibull distributions were fitted to daily, weekly and monthly rainfall. Maximum Likelihood (ML) method was used for estimating parameters of the probability distributions. Kolmogorov-Smirnov (KS), Anderson-Darling (AD) and Chi-Square tests were used to test the goodness of fit of the fitted distributions. It was found that there is no single distribution that described the rainfall pattern of all the stations. However at most of the stations lognormal distribution was found to be best fit for daily rainfall based on KS and AD tests while Gumbel distribution was found to be best fit for weekly and monthly rainfall based on KS and Chi-Square tests. Multi-Criteria Decision Approach (MCDA) based on fuzzy majority approach was used for selection of best statistical distribution among Exponential, Gamma, Lognormal and Weibull distribution for describing daily, weekly and monthly rainfall. Lognormal distribution was found to be best fitting distribution to describe daily rainfall while gamma distribution was found to be best fitting distribution to describe weekly and monthly rainfall in various districts of Haryana.