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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
    Hydrological modelling using SWAT and effect of climate change on rainfall, runoff and sediment yield in the Naula Watershed, Uttarakhand
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2021-11) Saran, Bhagwat; Anil Kumar
    Soil and water is one of the most important natural resources for the survival on the earth. Without soil and water the life on the earth is not expected. At present increasing the rate of soil erosion is the matter of serious concern to feed such a huge population. Considering the above facts the present study is undertaken to assess the hydrological behaviour of Naula watershed. In this study the physically based Soil and Water Assessment Tool (SWAT) model was used to simulate the runoff and sediment yield from the Naula watershed of Ranikhet, Uttarakhand, India. The data used for this study was runoff and sediment yield from the year 1980 to 2012, two years of data (1980-1981) were used to warm up of the SWAT model. The calibration was performed using monthly observed data of runoff and sediment yield from the year 1982 to 2002 and that model was validated using same data from 2003 to 2012. The calibration and validation analysis of the model has been carried out at Naula watershed using SWAT-CUP with the algorithm SUFI-2 (Sequential Uncertainty Fitting) for the runoff and sediment yield. The results of monthly Nash-Sutcliffe efficiency (NSE), coefficient of determination (R2), percent bias (PBIAS) and RMSE-observations standard deviation ratio (RSR) were found to be acceptable for both calibration and validation period. The NSE, R2, PBIAS and RMSE for the runoff simulation were found as 0.68, 0.68, -3.3 and 0.56 during calibration period and 0.62, 0.64, -12.8 and 0.76 for the validation respectively. For the simulation of sediment yield using SWAT-CUP, the NSE, R2, PBIAS and RMSE were found as 0.69, 0.73, -1.3 and 0.56 for the calibration period and 0.75, 0.76, -2.6 and 0.51 for the validation period respectively. NDVI and LULC change detection were also analysed in this study. The highest NDVI values were found as 0.64, 0.72 and 0.55 for the year 2000, 2010 and 2020 respectively. In the LULC change detection, the land covered by the agriculture was 13.87 %, mixed forest 1.95 %, shrub land 6.59 %, barren land 0.58 %, fallow land 11.63 %, water body 0.49 % and evergreen forest 64.85 % of the total area for the year of 2000. However, the area of agriculture and forest gradually decrease while the area of barren land and fallow land increase in the year 2000-2010. In the year 2010-2020; the agriculture land and forest land, fallow land decrease and barren land increases twice as compared to previous year. The area of water body increases very less from the year 2000-2020. Climate change was studied by determining the percentage change of rainfall, runoff and sediment yield from the year 2020 to 2052 (33 years) and 2053 to 2085 (33 years) with the base value of 1980 to 2012 (33 years).
  • ThesisItemOpen Access
    Nitrogen release, sediment outflow and water quality parameters with uncoated and neem coated urea application from selected land slopes under simulated rainfall conditions
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-09) Singh, Sachin Kumar; Akhilesh Kumar
    The nutrients loss from fertilized agricultural lands not only results in the reduction of fertility of soil but also the accumulation of these chemicals in various water bodies produce harmful toxic effects rendering it unfit for human as well as for animal consumption. Urea fertilizer is highly soluble in water and volatile in nature and constitutes about 82% of the nitrogenous fertilizer used in India. The various pathways of nitrogen loss are volatilization, leaching, de-nitrification and through runoff. To minimize the nitrogen losses and environmental hazards, it becomes imperative to improve the efficiency of nitrogen use by controlling nitrogen release rate of urea as per the plants’ need. To accomplish this task, slowrelease fertilizers (SRF) are produced by coating urea with neem and other biodegradable materials. This neem coated urea helps in retaining nutrients for a longer time and ensures nitrogen availability to plants for significantly longer periods than an uncoated urea fertilizer. In this study extensive experimentation was done in the open field on experimental plots using uncoated and neem coated urea to study their nitrogen release pattern and its effects on sediment outflow and water quality parameters under varying rainfall intensity and different land slope conditions. To create controlled conditions of rainfall, artificial rainfall was generated by developing a portable rainfall simulation system which was capable of producing rainfall almost similar to natural rainfall with complete manual control. As per mandate of this study, apart from control (No crop i.e., bare soil), the nitrogen release rate, sediment outflow and water quality parameters were observed from (i) maize crop land and (ii) marigold crop land. Soil samples and runoff samples were collected and analysed to determine the status of nitrogen content in the soil and runoff water quality parameters such as TDS, pH and electrical conductivity on 2nd day, 6th day, 10th day and 14th after coated and uncoated urea applications. It was observed that developed portable rainfall simulator generated rainfall very similar to natural rainfall. The soil nitrogen content both in case of ordinary urea as well as neem coated urea applications was high in the beginning and decreased with time till 14th day. In case of ordinary urea, the rate of decrease in soil nitrogen content was very fast in the beginning (during 2nd day to 6th day) while in case of neem coated urea, the nitrogen release rate was slow and steady throughout the period. It thus implied that in case of neem coated urea application, the nitrogen becomes available to soil at a uniform rate for longer duration in bare land as well in crop land conditions. The percent nitrogen release up to 14th day after application of uncoated and neem coated urea with maize crop conditions was recorded to be 32.06% and 24.20% at 0% land slope, 33.11% and 25.23% at 2% land slope, 34.22% and 27.43% at 4% land slope, 37.68% and 30.60% at 8% land slope and 39.54% and 31.16% at 12% land slope, respectively under similar conditions. Similarly, sediment out flow and runoff water quality parameters were observed and analysed to see the effect of coated and uncoated urea applications under various combinations of input variables. To quantify the effect of involved variables on nitrogen release and water quality parameters, mathematical relationships were also developed for various combinations of the input variables.
  • ThesisItemOpen Access
    Swat based runoff and sediment yield modelling for upper Shivnath basin
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-01) Singh, Vijay Kumar; Devendra Kumar
    The study was undertaken with the major objectives of calibrating and validating the Soil and Water Assessment Tool (SWAT) model to simulate surface runoff and sediment yield for the Upper Shivnath basin. The meteorological and hydrological data are used from 1990 to 1994 for warmup period, 1995 to 2005 for calibration period and 2006 to 2013 for validation period. The developed SWAT model accurately simulated runoff and sediment yield of Upper Shivnath basin. The Soil and Water Assessment Tool based Wavelet Multilayer Perceptron (SWAT-WMLP), Soil and Water Assessment Tool based Wavelet Support Vector Machine (SWAT-WSVM), Soil and Water Assessment Tool based Wavelet Multilayer Perceptron-Genetic Algorithm (SWAT-WMLP-GA) and Soil and Water Assessment Tool based Wavelet Support Vector Machine-Genetic Algorithm (SWAT-WSVM-GA) accurately simulated runoff and sediment yield in comparison to SWAT model. Three different statistical downscaling methods namely delta method (DM), quantile mapping method (QMM) and empirical quantile mapping method (EQMM) were used for downscaling precipitation. Delta method performed better than quantile mapping and empirical quantile mapping methods for downscaling of rainfall at all gauging stations. Impact assessment of climate change during 2020-2039, 2040-2059, 2060-2079 and 2080-2099 scenarios shows that runoff and sediment yield of most of sub-basins will slightly decrease in future. The effect of land use change on runoff and sediment yield were assessed using future use land of 2025, 2045, 2065 and 2085 periods. It was showed that the urban land will increase by 44.56 % during 2025, 71.06 % during 2045, 95.33 % during 2065 and 134.12% during 2085 respectively, while agriculture land will decrease by 2.10 % during 2025, 3.35 % during 2045, 4.49 % during 2065 and 6.30 % during 2085. The surface runoff and sediment yield will increase during 2020-2039, 2040-2059, 2060-2079 and 2080-2099 future scenarios due to impact of land use change.
  • ThesisItemOpen Access
    Effective water management in Kesinga and Kotni Basins-application of WEAP model
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-11) Nivesh, Shreya; Kashyap, P.S.
    The relentless increase in population coupled with rising temperature, varying rainfall patterns, depleting groundwater, rising sea-levels, declining snowfall, retreating glaciers, intense tropical cyclones and resulting spurt in the demand for water is precipitating a major crisis for food security and rural economy, which require careful planning and management of limited non-renewable water resources. In this study an attempt has been made to develop Water Evaluation and Planning System (WEAP) model to analyse water balance, to achieve water security and sustainability in Kesinga and Kotni basins. FAO-CROPWAT 8.0 computer programme was used to compute crop irrigation requirements, reference evapotranspiration (ETo) and to develop scheme water supply for various districts of Kesinga and Kotni basins. Agroclimatic data were collected using FAO New_LocClim local climate estimator for each district. Meteorological data were collected from the India Meteorological Department (IMD), Pune and Hydrological data were collected from Central Water Commission (CWC), Mahanadi and Eastern Rivers division, Bhubaneswar, Odisha, India. The model was structured according to one scenario with a current accounts year (1990) and reference period (1991-2004) for external driving factors (irrigation demand, livestock, urbanization, and population) to predict their impacts on water balance or water supply system. Total annual water demand, unmet demand and streamflow for reference scenario in Kesinga basin were 77541 Mm3, 52631 Mm3 and 72818 Mm3 respectively while, in Kotni basin were 79174 Mm3, 48586 Mm3 and 27495 Mm3 respectively. The RMSE and NSE were 43.10 Mm3 and 99.40% respectively for Kesinga basin and 183.58 Mm3 and 72.02% respectively for the Kotni basin. Results indicated that tributaries of Mahanadi river do not have sufficient capacity to satisfy water demands in two basins and most of the tributaries will be under water stress conditions in all months of the year. Outcomes of the study demonstrated that WEAP model is a useful tool for integrated water resources management and suggested that dependence on surface water resources alone is not sufficient to satisfy water demands.
  • 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.
  • ThesisItemOpen Access
    Swat based runoff and sediment yield modelling for Nagwan Watershed
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-08) Roti, Vasantgouda; Kashyap, P.S.
    Physically based Soil and Water Assessment Tool (SWAT) model was setup and assessed for the runoff and sediment yield from Nagwan watershed (98.42 km2) situated in Hazaribagh district of Jharkhand. The runoff parameters namely effective hydraulic conductivity in the main channel, SCS curve number, base flow alpha factor for bank storage, manning’s “n” value for the main channel and saturated hydraulic conductivity of soil layers were found to be the most sensitive. The sediment yield parameters namely, sediment that can be re-entrainment during channel sediment routing and average slope steepness, exponential parameter for calculating sediment re-entrainment in the channel sediment routing and average slope length were found to be the most sensitive. The statistical indicators of R2, NSE, PBIAS and RSR for monthly runoff during calibration period were found to be 0.74, 0.84, 9.80 and 0.51 respectively. Similarly for validation period value R2, NSE, PBIAS and RSR were found to be 0.77, 0.66, 10.50 and 0.58 respectively. For monthly sediment yield the R2, NSE, PBIAS and RSR during calibration were 0.83, 0.82, 5.90 and 0.42 respectively. The values of R2, NSE, PBIAS and RSR during validation period were 0.71, 0.67, 17.10 and 0.58 respectively indicating the model performance was good for both runoff and sediment yield simulation which are adequate for SWAT model application for management planning. Such successful evaluation of SWAT model as illustrated in this study can widen model applicability into other ungauged basins. The critical sub-watersheds were identified on the basis of sediment yield annually from the SWAT simulated values during period of 2007 to 2013. Out of fifteen sub-watersheds four watersheds were found to be under very high soil loss, six under high soil loss, one under moderate and four under slight soil loss group.
  • ThesisItemOpen Access
    Data driven runoff modelling of a mid-himalayan watershed
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-01) Pankaj Kumar; Devendra Kumar
  • ThesisItemOpen Access
    Wavelet-ANN and wavelet-ANFIS based runoff modeling
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-01) Sachan, Ashish; Devendra Kumar
    Land and water are two vital natural resources for sustaining life on earth. These resources are getting degraded by an alarming rate, due to over exploitation and unscientific management of the resources owing to increasing population and industrialization. For the scientific and proper management of these resources, it is needed to having a tool for precise prediction of future events. The present study is an attempt to develop a mathematical model which will be efficient in data correctness and prediction of future events. Present study has been carried out to simulate, forecast and compare runoff yield from a watershed using a hybrid artificial neural network modeling technique combined with wavelet and fuzzy logic analysis. In the present study the Nagwan and Vamsadhara watershed of the south-east monsoon were selected. The data of the entire monsoon period, starting from June 1st to September 30th of each year were used for the model development and verification of developed models. One computer progamme in C language was developed for resolving the observed daily data of runoff. For modeling of Artificial neural network and Adaptive neuro fuzzy inference system, a software NEUROSOLUTION was used. The model performance was checked through seven selected performance evaluation criteria, viz. Mean square error, Normalize mean square error, Correlation coefficient, Percentage error, Nash-Sutcliffe efficiency, Percent bias and RMSE-observations Standard deviation ratio. The results of the study reveal that, resolution of all input data makes the model more acceptable at the same time one should avoid increasing complexity of model which may adversely affect the performance of the model.
  • ThesisItemOpen Access
    Simulation of runoff and sediment yield from a hilly watershed using Soil and Water Assessment Tool (SWAT) and Wavelet Neural Network (WNN) models
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-08) Jillani, Asima; Anil Kumar