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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
    Optimal reservoir operation for hydropower generation considering turbine characteristics
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-10) Purohit, Chetna; Mahar, P.S.
    In today's world distribution and use of water being a major issue of concern, optimal reservoir operation has become necessary to accommodate water according to various needs. In reservoir operation, optimal release is determined with time period. Hydropower generation is one of the major activity for which the releases from a reservoir are used. Reservoir operation can be achieved in two ways, standard operating policy and optimal operating policy. In this study, a mathematical model has been developed using nonlinear programming for determining optimal reservoir release with maximizing the generated hydropower. Equations representing the continuity, release, storage, head, water elevation and the turbine characteristics have been imposed as constraints in the optimization model. The solution of the developed model provides generated hydropower and optimal reservoir releases. Applicability of the developed optimization model has been illustrated for the reservoir created by Tehri dam in Uttarakhand. The effect of the turbine characteristics has been investigated in the optimal generation of hydropower. The optimal reservoir release and generated hydropower were obtained for ten years as the desired output. From the results, it is inferred that the generated hydropower is more for the same value of release when turbine characteristics are considered.
  • ThesisItemOpen Access
    Influence of micro silica fume and RBI grade 81 on geotechnical properties of soil
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-08) Kohli, Rakesh; Sanjeev Suman
  • ThesisItemOpen Access
    Modification of geotechnical properties of soil using stone dust and lime
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Prasad, Bhagwati; Gupta, Sandeep
    Industrialization and urbanization have been the two world wide phenomenon in the present century. Many industries generated inert solid waste material. The disposal of this industrial solid waste materials is more important in view of the availability of land for such purposes which is depleting with each passing year. The greatest challenge before the processing and manufacturing industries is the disposal of the industrial waste. One of the common and feasible ways to utilize these waste products is to explore their use in the construction of roads, highways, embankments as a fill material. India is a developing country and the aggregate is mostly needed for construction work. Stone crushers are used to produce such aggregate which in turn lead to the generation of stone dust as a waste. India is the highest producer of dimensional stones in the world accounting for over 27% of the world stone production. About 16 million tonnes of stone has produced annually (Source: State Department of Mines & Geology and All India Granites & Stones Association). This production of stone leads to the production of stone dust as a waste. Efforts are being made for disposing of stone dust by exploiting commercially in construction. The present study is focused on modifying the geotechnical properties of soil by adding different percentages of stone dust and lime. Stone dust was procured from the pal stone industries limited located at Lalkuan, Nainital, and (Uttarakhand). Lime used in the study was procured from Nagla Market, GBPUAT, Pantnagar and soil were collected from fields of Sitarganj (Khatima), and U.S. Nagar (Uttarakhand). The overall testing was conducted in two phases. In the first phase, the geotechnical properties of soil were studied by conducting laboratory tests. In the second phase, soil mixed with three different percentages of stone dust i.e., 10, 20, and 30% and four different percentages of lime i.e. 4%, 6%, 8% and 10% were subjected to various tests.
  • ThesisItemOpen Access
    Performance and analysis of coir fibre as a soil reinforcement
    (2017-07) Bhatt, Himanshu; Ajit Kumar
  • ThesisItemOpen Access
    Stabilization of expansive soil using sawdust ash
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Rai, Himani; Gupta, S.S.
  • ThesisItemOpen Access
    Performance evaluation of waste marble dust as a chemical stabilizer in expansive soils
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Jauhari, Nitish; Ajit Kumar
  • ThesisItemOpen Access
    Impact of climate change on the hydrology of tarai and bhabar agro-climatic zone in Uttarakhand
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Arya, Dinesh Kumar; Shiva Prasad, H.J.
    Climate change is a major global & environmental issue which is quite popular among climate research community nowadays. Climate change in India can be seen in the form of rising temperatures, floods, droughts, changing pattern of rainfall. In the long run, it could affect agriculture, human health, economic growth & development in many ways. Therefore, there is growing need to assess the impact of climate change on the hydrological processes. The present study intends to evaluate the impact of climate change of Tarai and Bhabar agro-climatic zone in Uttarakhand. Data of two meteorological stations viz. Roorkee and Pantnagar have been used in study. The study mainly comprises the trend analysis of observed rainfall, mean maximum temperature & mean minimum temperature and their future downscaled projections at both stations. Trend analysis has been done using Mann-Kendall test and Sen’s slope estimator to find the significance and magnitude of trend respectively. Multiple linear regression technique has been used for downscaling of CanESM2 model outputs corresponding to 4.5 RCP. It has been found that minimum temperature is increasing over Tarai and Bhabar agro-climatic zone in Uttarakhand. A clear picture of trend in rainfall & maximum temperature over study area has not been emerged from present study. Results obtained from the study could be proved useful in minimizing the hazardous impact of climate change over study area. These results present a true picture of changing climate which is quite helpful to get maximum productivity in many sectors viz. agriculture, economy, forestry, mining etc.
  • ThesisItemOpen Access
    Rainfall-runoff modeling of Ram Ganga river basin using Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) techniques
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-06) Danu, Umed Singh; Shiva Prasad, H.J.
    The present work involves the development of artificial neural network (ANN) and multiple linear regression (MLR) models for establishing rainfall-runoff correlation. The models developed have been applied to Ramganga River basin of Uttarakhand, India. The daily rainfall and runoff data for eighteen years (1998-2015) has been used to develop models. The total data set is divided in two sets, the first thirteen years (1998-2010) for training and remaining five years (2011-2015) for testing purpose. The artificial neural network (ANN) models have been developed using nntoolbox of MATLAB software. The feed-forward back propagation (FFBP) neural network has been used for training using levenberg-marquardt algorithm. The performance of artificial neural network (ANN) models has been compared with multiple linear regression (MLR) models. The statistical indices such as root mean square error (RMSE), coefficient of efficiency (CE) and coefficient of correlation (R) have been used to evaluate the performance of the developed artificial neural network (ANN) and multiple linear regression (MLR) models. The values predicted by artificial neural network (ANN) have been found to be in close agreement with the observed data. The results show that artificial neural network (ANN) model is more suitable to predict runoff than classical regression model. Hence, it is recommended to use ANN-5 model to predict runoff for Ramganga River basin. It will help the water resource managers to operate the reservoir properly in the case of extreme events such as flooding.
  • ThesisItemOpen Access
    Dam breach analysis using HEC-RAS for Baur Dam
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-05) Chaudhary, Neha; Prasad, Jyothi