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Maheshwara Babu, B.
- Groundwater Utilization in a Hirekere Watershed in Raichur District in Karnataka
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Authors
Affiliations
1 Department of Soil and Water Engineering, College of Agricultural Engineering, University of Agricultural Science, Raichur Karnataka, IN
2 Department of Soil and Water Engineering, Tamil Nadu Agricultural University, Ciombatore T.N., IN
3 Department of Natural Resource Management, College of Forestry, Sirsi Karnataka, IN
1 Department of Soil and Water Engineering, College of Agricultural Engineering, University of Agricultural Science, Raichur Karnataka, IN
2 Department of Soil and Water Engineering, Tamil Nadu Agricultural University, Ciombatore T.N., IN
3 Department of Natural Resource Management, College of Forestry, Sirsi Karnataka, IN
Source
International Journal of Agricultural Engineering, Vol 6, No 2 (2013), Pagination: 485–491Abstract
The present study was taken up in Hirekere watershed which is draining to Krishna river through Nallavagu stream and is located near Singanodi and Mandalgeri village in Raichur district, Karnataka. The main objective of the study was to assess the present status of groundwater usage to evolve efficient crop planning on the basis of sustainable groundwater usage. Optimum utilization of groundwater was also planned for the maximum crop benefits. There was recharge of groundwater of 100.90 mm, 26.65 mm, 128.85 mm, 20.35 mm and 113.05 mm during the years 2005, 2006, 2007, 2008 and 2009, respectively. The recharge varied from 4.44 to 17.24 per cent, where as 77.96 mm/year i.e., 11.68 per cent of annual rainfall was found to be the average annual recharge of the study area. The percentage of utilisation of available groundwater resource is 98, 183, 97, 208 and 114 per cent for the years 2005-06, 2006-07, 2007-08, 2008-09 and 2009-10, respectively indicating the area as over exploited zone. Recharge calculated by the water balance and watertable fluctuation method revealed that there was no correlation between the values calculated by the WT fluctuation method and the water balance method. In this contest the recharge calculated by water table fluctuation method is best method for the recharge estimation in the watershed. It is also recommended not to go for new bore wells and non paddy crops at least two to three years by introducing crops like cotton, groundnut and vegetables may be in the study area. It is recommended to reduce the present area under paddy cultivation. Further, rainwater harvesting and augmentation of ground water recharge through artificial recharge structures can be taken to improve the ground water quantity and quality.Keywords
Groundwater, Groundwater Recharge, Water Balance Method, Watertable Fluctuation Method, Groundwater Draft
- Action Plan for Efficient Land and Water Use in a Mini-watershed near Mysore Using Remote Sensing and GIS
Abstract Views :388 |
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Authors
Affiliations
1 Ashoka Trust for Research in Ecology and Environment (ATREE), Srirampura, Bengaluru karnataka, IN
2 Department of Soil and Water Engineering, College of Agricultural Engineering, University of Agricultural Science, Raichur Karnataka, IN
3 Bangalore ONE, Bengaluru Karnataka, IN
4 College of Agricultural Engineering, University of Agricultural Sciences,Raichur Karnataka, IN
1 Ashoka Trust for Research in Ecology and Environment (ATREE), Srirampura, Bengaluru karnataka, IN
2 Department of Soil and Water Engineering, College of Agricultural Engineering, University of Agricultural Science, Raichur Karnataka, IN
3 Bangalore ONE, Bengaluru Karnataka, IN
4 College of Agricultural Engineering, University of Agricultural Sciences,Raichur Karnataka, IN
Source
International Journal of Agricultural Engineering, Vol 6, No 2 (2013), Pagination: 514–518Abstract
Developmental planning using integrated approach has been accepted world over for optimal management and better utilisation of natural resources towards improving living conditions of the people and to meet the growing demands of increasing population. Timely inflow information (both the spatial and nonspatial) and its reliability is a pre-requisite for integrated developmental planning. Satellite remote sensing is an ideal tool for generating such spatial information base. In the present paper, preparation of thematic maps like land use/land cover, hydrogeomorphology, slope, base map, soil map and stream network map using the Quick Bird satellite imagery and toposheet from the Survey of India for the Ballahalli mini-watershed near Mysore, Karnataka to generate land and water action plan for optimal land and water use by integrating all the thematic maps and collateral data are presented and discussed.Keywords
Watershed, Thematic Maps, Land And Water Resource Action Plan, Remote Sensing And GIS- Weekly Rainfall Variability and Probability Analysis for Resource Planning at Hadagali, Karnataka
Abstract Views :401 |
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Authors
Hanumanthappa Ramdurg
1,
G. V. Srinivasa Reddy,
1,
D. Krishnamurthy
2,
B. Maheshwara Babu
1,
M. Nemichandrappa
1
Affiliations
1 Department of Soil and Water Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur (karnataka), IN
2 University of Agricultural Sciences, Raichur (Karnataka), IN
1 Department of Soil and Water Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur (karnataka), IN
2 University of Agricultural Sciences, Raichur (Karnataka), IN
Source
International Journal of Agricultural Engineering, Vol 8, No 2 (2015), Pagination: 255-260Abstract
Daily rainfall data of 35 years (1978-2012) of Hadagali were used for weekly analysis to study the variability and the probability level of occurrence. The highest mean weekly rainfall (42.5 mm) was received during 39th SMW. The CV was less than 150 per cent during 22-33, 35 and 37-42nd SMW, indicated that the rainfall was consistent during those weeks. The rainfall analysis showed that the crop could be recommended under dry land during 22-33, 35 and 37-42nd SMW as the rainfall was more consistent during these periods as compared to 18st to 21st SMW, which also fell under south west monsoon period. The study indicated that rainfall amount of more than 20 mm of rainfall could be expected during 38-40th SMW with 50 per cent probability, which hints for rain water harvesting.Keywords
Daily Rainfall, Co-Efficient of Variation, Standard Meteorological Weeks, Variability, Probability.References
- Biswas, B.C. and Khambeta, N.K. (1974).Distribution of short period rainfall over dry farming tract of Maharashtra. J. Maharashtra Agric. Univ., 12 : 157-168 .
- Chattopadhyay, N. and Ganesan, G.S. (1995). Probability studies of rainfall and crop production in coastal Tamil Nadu. Mausam, 46 (3): 263-274.
- Gouranga, K. (2003). Initial and conditional probabilities of rainfall and dry spell for red and lateritic zones of West Bengal using Markov chain model. Indian J. Soil Conserv., 31(1): 287-290.
- Gupta, S. K., Babu, R. and Tejwani, K. G. (1975). Weekly rainfall of India for planning cropping programme. Soil Conserv. Digest., 3 (1) : 31-36.
- Jat, M. L., Sammauria, R., Balyan, J. K. and Sharma, R. K. (2010). Crop planning in semi arid tracts of Udaipur region based on analysis of weekly rainfall. Indian. J. Soil Cons., 38 (2) : 69-74.
- Kar, S.K., Sahoo, D.P. and Subudhi, C.R. (2014). Weekly analysis for crop planning using markovs chain model for Kandhamal district of Odisha, India. Internat. J. Engg. Res. Appl., 9 (4): 139-145.
- Kichar, M. L., Niwas, R. and Pal, S. (2000). Markov chain model for use in analysis of south west monsoon rainfall of arid zone in Haryana. J. Appl. Hydrol., 13(3&4): 60-65.
- Kumar, D. and Kumar, S. (1989).Rainfall distribution pattern using frequency analysis. J. Agril. Engg., 26(1): 33-38.
- Mangaraj, A.K., Sahoo, L.N. and Sukla, M.K. (2013). A Markov chain analysis of daily rainfall occurrence at western Orissa of India. J. Reliability & Stat. Stud., 6 (1): 77-86.
- Manjunath, H., Manjunath, P.H., Sherikar, S.B. and Shreelaxmi (2014). Decadal rainfall pattern characterization and profiling of rainfall parameters over western Yadgir district, Karnataka. B.Tech Thesis, University of Agricultural Sciences, Raichur KARNATAKA (INDIA).
- Nemichandrappa, M., Balakrishnan, P. and Senthilvel, S. (2010). Probability and confidence limit analysis of rainfall in Raichur region. Karnataka J. Agric. Sci., 23(5): 737-741.
- Pandharinath, N. (1991).Markov chain model probability of dry, wet weeks during monsoon period over Andhra Pradesh. Mausam., 42: 393 - 400.
- Panigrahi, B. and Panda, S.N. (2002). Dry spell probability by Markov chain model and its application to crop planning in Kharagpur. Indian J. Soil Conserv., 30(1): 95-100.
- Pawar, P.B., Jadhav, J.D., Patil, S. R. and Amruthsagar, V. M. (2015). Weekly rainfall variability and probability analysis for Solapur in respect of crop planning. Ecoscan, 9 (1-2): 115-120.
- Sarkar, R.P. and Biswas, B.C. (1988). A new approach to agroclimatic classification to find out crop potential. Mausam. 39 (4) : 343-358.
- Senthilvelan, A., Ganesh, A. and Banukumar, K. (2012). Morkov chain model for probability of weekly rainfall in Orthanadu. Internat. J. Geomatics & Goesciences, 3(1): 191-203.
- Singh, M. and Bhandari, A.R. (1998). Wet and dry spells analysis using Markov chain model for mid hill region of Himachal Pradesh. Indian J. Soil Conserv., 26: 147-152.
- Singh, P.K., Rathore, L.S., Singh, K.K., Baxla, A.K. and Athiyaman, B. (2009). Incomplete gamma distribution of rainfall for sustainable crop production strategies at Palampur, Himach Pradesh.Mausam, 60 (1): 73-80.
- Subbulakshmi, S., Selvaraju, R. and Manickasundaram, S. (2005). Rainfall probability analysis for crop planning in selected locations of Tamil Nadu. Madras Agric. J., 92(1-3): 76-83.
- Wubengeda, A., Kassu, T., Fitsume, Y. and Birhan, A. (2014). Markov chain analysis of dry, wet weeks and statistical analysis of weekly rainfall for agricultural planning at Dhera, central rift valley region of Ethiopia. African J. Agric. Res., 9 (29) : 2205-2213.