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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
    Study of soil scour pattern downstream of an inclined spillway with SAF basin using selected shapes and sizes of end sill
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-06) Sweta Kumari; Akhilesh Kumar
  • ThesisItemOpen Access
    Impact of climate change on soil erosion vulnerability in Brahmani river basin: Application of the Revised Universal Soil Loss Equation (RUSLE)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-05) Behera, Madhusmita; Kashyap, P.S.
  • ThesisItemOpen Access
    Suspended sediment yield modelling using artificial neural networks
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-06) Kushwaha, Daniel Prakash; Devendra Kumar
  • ThesisItemOpen Access
    Rainfall run-off and run-off sediment modeling using soft computing and statistical techniques
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Pratibha Kumari; Pravendra Kumar
  • ThesisItemOpen Access
    Hydrological assessment of Brahmani river basin using soil and water assessment tool with future climate scenario
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-03) Dash, Sonam Sandeep; Dash, Sonam Sandeep; Anil Kumar; Anil Kumar
  • ThesisItemOpen Access
    Soft computing based stage-discharge and runoff-sediment modelling
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Ashish Kumar; Pravendra Kumar
  • ThesisItemOpen Access
    Evaluation and calibration of temperature, radiation, and mass transfer based equations for estimating evapotranspiration in sub-humid climatic conditions based on standardized Penman Monteith model
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Garg, Sweta; Tomar, A.S.
    The present study was conducted to evaluate and calibrate various temperature-, radiation-, and mass transfer- based equations on daily, weekly and monthly basis in sub-humid climatic conditions of Udham Singh Nagar, Tehri-Garhwal and Hazaribagh district based on standardized Penman Monteith (FAO56-PM) model with specific objectives as, to evaluate performance of various temperature, radiation, and mass transfer based ET0 equations in comparison to FAO56-PM model; to calibrate all considered ET0 equations in comparison to FAO56-PM model; to evaluate performance of all calibrated equations in terms of statistical indices; and to compare performance of original and calibrated equations graphically. In this study, individual years were classified into 52 Standard Meteorological Weeks (SMWs) in tune with CWS-1format suggested by the Indian Meteorological Department, Pune which were later grouped to get 12 months (January-December), whereas, all 52 SMWs were clubbed to get complete year. The Microsoft TM Excel (R) was used as computing tool for conducting analysis and draw fruitful inferences from them. Prior to analysis, quality control of daily weather dataset was ensured by detecting missing data and outliers. The results revealed that on daily, weekly and monthly basis, almost all calibrated ET0 equations performed better at study area and extended better results in comparison to their original versions. Further, it was found that, all calibrated ET0 equations performed well at Udham Singh Nagar, Tehri-Garhwal and Hazaribagh districts on daily, weekly and monthly basis; calibrated Hargreaves M1 ET0 equation was found best at all three districts on daily, weekly and monthly basis, whereas, among radiation-based ET0 equations, calibrated Valiantzas equation performed best at all three districts at all timescales. The calibrated Trabert equation was found best at on daily and weekly basis at all districts, and it performed best at Udham Singh Nagar and Hazaribagh district on monthly basis, whereas, calibrated Rohwer equation performed well at Tehri-Garhwal district on monthly basis. Among calibrated temperature-based ET0 equations, calibrated Romanenko equation was found worst at Udham Singh Nagar and Hazaribagh districts on daily basis, whereas, calibrated Schendel equation was found worst at Tehri-Garhwal district on daily basis; calibrated Romanenko equation was found worst at all sub-humid districts on weekly and monthly basis. Among calibrated radiation-based ET0 equations, performance of calibrated Caprio equation was found worst at all three districts, whereas, calibrated BrockampWenner equation performed worst at all three districts at all timescales.
  • ThesisItemOpen Access
    Impact of climate change on soil erosion vulnerability in Brahmani river basin: Application of the Revised Universal Soil Loss Equation (RUSLE)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-05) Behera, Madhusmita; Kashyap, P.S.
  • ThesisItemOpen Access
    Suspended sediment yield modelling using artificial neural networks
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-06) Kushwaha, Daniel Prakash; Devendra Kumar
    Eight artificial neural networks based models were developed to predict daily suspended sediment concentration for the Baitarani river at Anandpur and Champua stations using daily discharge and daily suspended sediment concentration. The 30 years data (June 1977 to September 2006) used in this study was divided into two sets viz. a training set (1977-1996) and a testing set (1997-2006). ANNs models were calibrated by using multilayer feedforward back propagation neural networks with sigmoid activation function and Levenberg-Marquardt (L-M) learning algorithm. The performance of the developed models was evaluated qualitatively and quantitatively. In qualitative evaluation of models, the observed and the computed suspended sediment concentration were compared using sediment hydrographs and scatter plots during testing period. Akaike’s information criterion (AIC), correlation coefficient (r), mean square error (MSE), root mean square error (RMSE), minimum description length (MDL), coefficient of efficiency (CE) and normalized mean square error (NMSE) indices were used for quantitative performance evaluation of the models. Results on the basis of qualitative and quantitative evaluation indicate that M-6 model with (7-5-5-1) network architecture is better than all models at Champua station and M-1 model with (2-7-7-1) network architecture is better than all models at Anandpur station.