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Patle, G. T.
- Modelling of Declining Groundwater Depth in Kurukshetra District, Haryana, India
Abstract Views :208 |
PDF Views:81
Authors
Affiliations
1 Department of Soil and Water Engineering, College of Agricultural Engineering and PHT, Ranipool 737 135, IN
2 Water Technology Centre, Indian Agricultural Research Institute, New Delhi 110 012, IN
1 Department of Soil and Water Engineering, College of Agricultural Engineering and PHT, Ranipool 737 135, IN
2 Water Technology Centre, Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 111, No 4 (2016), Pagination: 717-723Abstract
Changing climate of a region coupled with spatiotemporal variability of rainfall has a significant effect on groundwater recharge. An effort has been made in this study to analyse the pre- and post-monsoon average groundwater depths of different blocks in Kurukshetra district, Haryana, India. The stochastic analysis of groundwater depth was carried out using auto regressive integrated moving average (ARIMA) model. Best-fitted models ARIMA (2, 1, 1) and ARIMA (0, 1, 2) were used for prediction of pre- and post-monsoon groundwater depth fluctuations up to the year 2020. Results indicate that by the year 2020, average groundwater depth in the pre- and post-monsoon seasons in the district is expected to decline by 5.63 and 5.72 m respectively, over the base year 2010. Results of this study will be helpful in evolving strategies for groundwater development and management.Keywords
Climatic Variability, Groundwater Depth, Irrigation, Monsoon Rainfall.Full Text
- Modelling of Climate-Induced Groundwater Recharge for Assessing Carbon Emission from Groundwater Irrigation
Abstract Views :275 |
PDF Views:84
Authors
Affiliations
1 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Post Harvest Technology, Central Agricultural University, Gangtok 737 135, IN
2 Water Technology Centre, Indian Agricultural Research Institute, New Delhi 110 012, IN
1 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Post Harvest Technology, Central Agricultural University, Gangtok 737 135, IN
2 Water Technology Centre, Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 115, No 1 (2018), Pagination: 64-73Abstract
In this study impact of climate change on groundwater recharge is investigated and the carbon emission from groundwater irrigation is assessed under projected climate change scenarios for Karnal district of Haryana state in India. HYDRUS-1D and MODFLOW models were used to simulate the climate change impacts on groundwater recharge for different projected climate change scenarios. Simulation results showed that groundwater recharge would increase marginally by 2030 over the baseline year of 2008 under the scenario based on ARIMA predictions, which considered the effect of all climate parameters. However, under the scenarios, which considered only rise in temperature, groundwater recharge would decrease by 0.07–0.22 m. Rise in temperature by 3.5°C and 4.3°C along with 9% and 16% increase in rainfall over the base year would increase the recharge by 0.09 m and 0.14 m respectively. The study also revealed that the effect of climate change on cumulative recharge would be more in sugarcane fields than in rice fields. Carbon emission of groundwater irrigation under the scenarios based on rise in temperature only would increase by a minimum of 12 kg CO2/ha in pearl millet crop by the year 2030 to a maximum of 3250 kg CO2/ha for sugarcane crop by the end of this century. Estimated total carbon emission in 2030 would be 345,857 metric tonne from groundwater irrigation in Karnal district which is 87,474 metric tonne more than the baseline emission.Keywords
Climate Change, Carbon Emission, Groundwater Modelling, Groundwater Recharge, HYDRUS, MODFLOW.Full Text
References
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- Pedo-Transfer Functions for Saturated Hydraulic Conductivity of Cultivated Soils in the Mid Hills of Sikkim
Abstract Views :339 |
PDF Views:90
Authors
Affiliations
1 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Post Harvest Technology, Ranipool 737 135, IN
2 Department of Agricultural Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli 791 109, IN
1 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Post Harvest Technology, Ranipool 737 135, IN
2 Department of Agricultural Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli 791 109, IN
Source
Current Science, Vol 118, No 5 (2020), Pagination: 771-777Abstract
In this study, pedotransfer functions (PTFs) are developed for saturated hydraulic conductivity (Ks) using multiple linear regression (MLR) technique for the cultivated terraced land of East Sikkim district, North East India. Soil samples were collected for 29 stations and Ks values were measured using the constant head permeameter. The various combinations of measured soil properties, including percentage of sand, silt, clay, bulk density (BD), particle density (PD), porosity, organic carbon (OC) content were used for the development of the models. The Ks value varied from 0.97 to 29.38 cm/day and the mean value was 8.04 cm/day in the study area. The correlation between predicted and measured values was found to be better for the combination, including five input variables. The results indicated a negative correlation of Ks with silt, clay and BD, whereas sand, PD, OC and porosity had a positive correlation. The recommended MLR model 5 consisting of five input variables for the prediction of Ks in the study area had R2 values of 0.81 and 0.83 during model development and model validation, and showed goodness-of-fit with the observed Ks value. The PTFs developed in this study would be helpful for the planning and design of water resources structures in the hilly state of Sikkim.Keywords
Cultivated Land, Multiple Linear Regression, Pedotransfer Functions, Saturated Hydraulic Conductivity, Soil Property.Full Text
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