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ThesisItem Open Access Development of a Non Linear Optimization Model for Border Irrigation System for Wheat Crop(College of Agriculture Engineering, Punjab Agricultural University, Ludhiana, 2008) Shweta, Vishwakarma; Garg, SunilThesisItem Open Access MODELLING THE IMPACT OF CLIMATE CHANGE ON GROUNDWATER RESOURCES IN CENTRAL PUNJAB(2013) samanpreet kaurA study was planned to assess the impacts of climate change on groundwater resources in Ludhiana district under PRECIS A1B climate change scenario by linking the outputs of climate, soil-water-vegetation and groundwater models using GIS. Bias correction of climate data was done by correction functions, developed using modified difference, approach at daily time scale for rainfall and at monthly time scale for Tmax and Tmin. The methodology consists of development of simulation zones by overlaying soil, drainage, canal and landuse thematic maps in GIS and estimating water balance components using CropSyst and well defined norms. The groundwater draft for individual simulation zones was computed on the basis of landuse, irrigation requirement and rainfall conditions. The spatial distribution of recharge and groundwater draft was mapped to GIS and was provided as input to groundwater model. The results showed that temperature and rainfall would be increased by 2.4°C, 315 mm in MC (2021-2050); and 5.1°C and 465 mm in EC (2071-2098), respectively. During kharif season increase in RF would be 28.0% in MC and 52.0% in EC compared to that in PTS (1971-2010). The corresponding values during rabi would be 82.3% and 88.6%, respectively. As a consequence of increased precipitation, the irrigation requirements in MC and EC would decrease by 46% and 45% during kharif; and 21% and 34% in rabi, respectively. However, the potential groundwater recharge would be reduced by 23.1 and 4.2 per cent in kharif, and increased by 39.1 and 79.6 per cent in rabi during MC and EC, respectively. The average groundwater levels would decrease by 2.2 m in 2050 and increase by 4.8 m in 2098, compared to base year of June 2000. The results presented here should be interpreted as trends and not as accurate quantitative predictions of the hydrological changes as there are numerous sources of uncertainties associated with climate change prediction. Keywords: Climate change, Groundwater, MODFLOW, CropSyst, Geographical information systemThesisItem Open Access Impact of resource conservation interventions on water and sediment yield in a watershed of Shivalik(PAU, 2015) Yangchan, Jigmet; Jain, A.K.Soil and water are considered as one of the world‟s limited and non-renewable resource. Soil erosion by water is being increasingly recognized as a problem across the world. The objective of this study was to assess the impact of resource conservation interventions on water and sediment yield in a watershed. Morphometric analysis of Sukhna Lake watershed covering Chandigarh, Punjab and Haryana was carried out by using GIS technique. This analysis shows that the basin has a dendritic pattern with fifth order stream. Bifurcation ratio, drainage density, drainage texture, elongation ratio and relief ratio value of the watershed confirm that the geologic structures do not distort the drainage pattern. The area was impermeable subsurface having sparse vegetation, hilly relief and steep slop es with very fine texture cause prone to soil erosion. Impact analysis for six scenarios have indicated that in the initial period (1958-70) rainfall was less but runoff percentage was 22% of rainfall, no soil conservation measures were present due to which heavy soil loss of 150 ton/ha/yr, where as in 2013 rainfall was high but runoff percentage significantly decreased to 7.8% of rainfall due to increased number of structures over 190 as a result the sediment yield also decreased to 5 ton/ha/yr. This study shows that an adequate soil conservation measure exists, as result creations of new strictures are not required. In order to retain the sediment yield, the structures need regular maintenance. High evaporation rate in the region causes drying of the lake as the capacity has reduced from 10.74 million cubic meter (MCM) initially to 5.24 (MCM) at present, almost 50% of the lake‟s capacity reducing the depth of lake. In case of afforestation preference should be given to drought resistant species and deep rooted plantation. However the sediment yield has reduced to 5 ton/ha/yr but from the catchment of 4284 ha it is a huge amount settling down in the lake and reducing its capacity. In such case periodic desilting has to be taken up once in 2-3 years. To maintain the required water level in Sukhna Lake on a sustainable basis throughout the year, strategies must be made to divert the water from the other adjacent catchments.ThesisItem Open Access Optimal Ground Water Management In South-West Punjab(Punjab Agricultural University ;Ludhiana, 2001) Aggarwal, Rajan; Sondhi,S. K.ThesisItem Restricted Modelling the impact of climate change on groundwater resources in central Punjab(PAU, 2013) Samanpreet Kaur; K.G. SinghA study was planned to assess the impacts of climate change on groundwater resources in Ludhiana district under PRECIS A1B climate change scenario by linking the outputs of climate, soil-water-vegetation and groundwater models using GIS. Bias correction of climate data was done by correction functions, developed using modified difference, approach at daily time scale for rainfall and at monthly time scale for Tmax and T min. The methodology consists of development of simulation zones by overlaying soil, drainage, canal and landuse thematic maps in GIS and estimating water balance components using CropSyst and well defined norms. The groundwater draft for individual simulation zones was computed on the basis of landuse, irrigation requirement and rainfall conditions. The spatial distribution of recharge and groundwater draft was mapped to GIS and was provided as input to groundwater model. The results showed that temperature and rainfall would be increased by 2.4°C, 315 mm in MC (2021 - 2050); and 5.1°C and 465 mm in EC (2071-2098), respectively. During kharif season increase in RF would be 28.0% in MC and 52.0% in EC compared to that in PTS (1971-2010). The corresponding values during rabi would be 82.3% and 88.6%, respectively. As a consequence of increased precipitation, the irrigation requirements in MC and EC would decrease by 46% and 45% during kharif; and 21% and 34% in rabi, respectively. However, the potential groundwater recharge would be reduced by 23.1 and 4.2 per cent in kharif, and increased by 39.1 and 79.6 per cent in rabi during MC and EC, respectively. The average groundwater levels would decrease by 2.2 m in 2050 and increase by 4.8 m in 2098, compared to base year of June 2000. The results presented here should be interpreted as trends and not as accurate quantitative predictions of the hydrological changes as there are numerous sources of uncertainties associated with climate change prediction.ThesisItem Restricted Optimal Design Of Furrow Irrigation System(Punjab Agricultural University; Ludhiana, 2005) Garg, Sunil; Gulati, H.S.ThesisItem Open Access Effect Of Soil Surface Conditions On Movement And Redistribution Of Nitrate(Punjab Agricultural University ;Ludhiana, 2000) Gill, Kashmir Singh; Choudhary, M. R.ThesisItem Open Access SIMULATION OF SOIL MOISTURE MOVEMENT UNDER RICE FIELD(2010) Mahesh Chand SinghSoil moisture is a key variable in controlling the exchange of water and heat energy between the land surface and the atmosphere through evaporation and plant transpiration. A field study was conducted at Punjab Agricultural University, Ludhiana, in the year 2009, to simulate the soil moisture movement under rice field using numerical model Hydrus-2D. The treatments included two dates of transplanting (June 5 (D1) and June 20 (D2)), two varieties (PAU-201 (V1) of 120 days duration and hybrid RH-257 (V2) of 90 days duration (from transplanting to harvest)) and two irrigation regimes (intermittent irrigation at 2-days drainage period (I1) and irrigation based on soil water suction (SWS) of 16 k Pa (I2)). During calibration, for both varieties the parameters Ks (saturated hydraulic conductivity) and n (fitting parameter) were found to be most sensitive in respect of the model output. The validation of model was done by comparing observed and simulated values of soil moisture content at different depths. The model performance in simulating soil moisture profiles was evaluated by comparing observed and simulated values using four parameters namely, RMSE, Absolute percentage error, correlation coefficient and model efficiency. The distribution of the soil moisture under field experiment and by model simulation at different growth stages agreed closely. In case of PAU-201 (V1), it was observed that the irrigation water applied in the treatment D1V1I1 was 44 mm higher than the treatment D2V1I1 and the irrigation water applied in the treatment D1V1I2 was also 44 mm higher than the treatment D2V1I2. In case of RH-257 (V2), the irrigation water applied in the treatment D1V2I1 was 44 mm higher than the treatment D2V2I1 and the irrigation water applied in the treatment D1V2I2 was 124 mm higher than the treatment D2V2I2. In case of PAU-201 (V1), the deep drainage loss in treatment D1V1I1 was 133 mm less than the treatment D2V1I1 and in treatment D1V1I2 it was 75 mm less than the treatment D2V1I2. In case of RH-257 (V2), the deep drainage loss in treatment D1V2I1 was 120 mm less than the treatment D2V2I1 and in the treatment D1V2I2 it was 46 mm less than treatment D2V2I2. During validation the absolute error varied from 2.19 to 13.21 percent, Root Mean Square Error varied from 0.006 to 0.032 cm, correlation coefficient varied from 0.773 to 0.996 and the average model efficiency was 98.6 percent. Thus, Hydrus-2D model can be successfully adopted for simulating soil moisture profiles under rice crop.ThesisItem Open Access Impact of drip irrigation on microbial activity in summer mungbean(Punjab Agricultural University, Ludhiana, 2016) Harpinder Singh; Siag, MukeshA field experiment was conducted in the summer of 2015 at PAU to determine the impact of drip irrigation on soil microbial activity, nodulation, growth and yield in summer mungbean. A mungbean variety “SML-832” was sown with three drip irrigation treatments of I1:1.0ETc, I2:0.80ETc, I3:0.60ETc and one controlled flood irrigation treatment. There was significant difference between treatments for growth parameters of plant height, leaf area index, root weight and chlorophyll content. Similarly, for symbiotic traits of nodule count, nodule dry weight and leghemoglobin content in nodules at flowering stage and yield parameters of grain yield, number of pods and grains per plant, significant difference existed between irrigation treatments. However for all growth, symbiotic traits and yield parameters there was non-significant difference between I1 and I2 treatments. The maximum number of nodules per plant (34.53), nodule dry weight (76.66 mg) and grain yield (1107 kg/ha) was in I2 while the minimum number of nodules (14.93), dry weight of nodules (44.46 mg) and grain yield (778 kg/ha) was in flood irrigation treatment. In case of soil quality parameters the viable count of soil microbes increased from sowing to flowering stage but decreased at maturity of crop. During flowering stage, the maximum viable count of soil bacteria (6.57 log Cfu/g), actinomycetes (5.52 log Cfu/g) and fungi (4.87 log Cfu/g) was found under I2 irrigation treatment while minimum under flood irrigation. Nodule count per plant and microbial activity in soil has positive linear correlation with crop yield. From the study it was concluded that drip irrigation in mungbean results in higher microbial activity in soil, increase in nodulation and better crop yield.
