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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
    Analysis of meteorological and hydrological droughts in Uttarakhand state
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-01) Malik, Anurag; Anil Kumar
    Drought is a natural disaster which disturbs the entire ecosystem and adversely affects various sectors, such as agriculture, hydropower generation, water supply and industry. Occurrence of drought and its forecasting are critical components of hydrology which play a major role in risk management, drought preparedness and mitigation. This study was conducted using monthly rainfall and streamflow data of Almora, Bageshwar, Chamoli, Champawat, Dehradun, Haridwar, Nainital, Pauri Garhwal, Pithoragarh, Rudraprayag, Tehri Garhwal, U.S. Nagar/Pantnagar, Uttarkashi, Naula and Kedar stations located in Uttarakhand State, India, with the specific objectives to determine the spatiotemporal trends in hydro-meteorological data, find the best fit probability distribution, characterize meteorological and hydrological drought and wet conditions using Standardized Precipitation Index (SPI), Effective Drought Index (EDI), and Streamflow Drought Index (SDI), demarcate the homogeneous areas using Agglomerative Hierarchical Clustering (AHC), and predict hydro-meteorological drought and wet conditions using soft computing and statistical techniques. The results of trend analysis revealed significant positive (rising) and negative (falling) trends with different magnitudes in monthly, seasonal and annual rainfall time series data at 1%, 5% and 10% significance levels for 13 stations, while negative trend in monthly, seasonal and annual streamflow time series data at 1%, 5% and 10% significance levels at Naula and Kedar stations. The Kolmogorov-Smirnov test (K-S) statistic showed gamma distribution fitted well to 1-, 3-, 6-, 9-, 12-1 and 24-month rainfall and streamflow data series at 1% and 5% significance levels. The gamma distribution was used for analysis of hydrometeorological drought and wet conditions based on SPI, EDI, and SDI at 1-, 3-, 6-, 9-, 12-, and 24-month time scales for study stations. The occurrence of severe and extreme hydrometeorological drought and wet conditions were minimum, while normal, moderate drought and wet conditions occurred most frequently at 1-, 3-, 6-, 9-, 12-, and 24-month time scales for all the stations. The AHC analysis showed minimum three clusters (1, 2 and 3) and maximum four clusters (1, 2, 3 and 4) of similar characteristics in the study region. The performance of CANFIS model, followed by MLPNN, was found to be the best for prediction of hydro-meteorological drought or wet conditions based on the multi-scalar SDI, SPI and EDI values for most of the stations. The results of trend analysis and prediction of hydro-meteorological drought and wet conditions would help the local stakeholders, hydrologists, water managers and policy maker to understand the risks and vulnerabilities related to climate change and anthropogenic activities in the study region.