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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Comparative assessment of different geostatistical approaches for spatial interpolation of annual rainfall
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-02) Verma, Shikha; Singh, Praveen Vikram
    Rainfall is an essential component and acts as primary input for hydrological modelling. The availability of reliable data is necessarily important to obtain the maximum benefit from hydrological analysis. The rainfall in rajasthan is so irregular and unpredictable spatially as well as temporally. The measurement of rainfall is very important however it is not practically possible to measure at each and every point. In such situations, rainfall measurements are typically available at a finite number of rain gauges therefore, determination of rainfall at various ungauged stations needs spatial interpolation to assess the spatial variability of the region. The analysis was done over annual rainfall of rajasthan having 253 raingauging stations for a period of 40 years (1980–2019). The present study was an attempt to analyze and compare the performance of different geostatistical spatial interpolation techniques, univariate, Ordinary Kriging (OK), and multivariate, Simple Co-kriging (SCK) and Ordinary Co-kriging (OCK), to interpolate the annual rainfall. In both the techniques, spherical, circular and Gaussian models were used to find the best-fitted semivariogram for rainfall prediction purpose. The nugget-sill ratio was determined for all the nine models to decide the best fit model. The statistical analysis of nugget-sill ratio for univariate and multivariate geostatistical analysis revealed that the ordinary kriging (OK-Circular) and ordinary cokriging (OCK-Spherical) was followed the least standard deviation as 0.1121 and 0.1051, respectively in the dataset. The cross-validation results were depicted the overall comparative evaluation of the selected models in which OCK-Spherical outperformed over OK-Circular by the consideration of different statistical parameters. For OK-Circular, the value of ME, RMSE, MSDE, RMSSDE and ASE were found to be 0.6525, 210.1545, 0.0035, 1.0306 and 204.4955 and for the validation of ordinary co-kriging OCK-Spherical these statistical parameter values were found as 0.3221, 210.3274, 0.0023, 1.0367 and 203.6121, respectively. Finally, the study concluded that the incorporation of elevation as a secondary variable with rainfall, increases the accuracy of estimation of spatial continuity of rainfall at ungauged locations irrespective of its correlation with the rainfall. However, both the selected models performed well for the study area. Statistically, OCK-Spherical worked better than OK-Circular method of interpolation.