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Dahiphale, Pravin
- Geomorphic Response Runoff Model for Prediction of June Monthly Runoff from Small Watersheds
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1 Agricultural Engineering Department, College of Agriculture, DHULE (M.S.), IN
2 College of Agricultural Engineering, Maldad, AHMEDNAGAR (M.S.), IN
1 Agricultural Engineering Department, College of Agriculture, DHULE (M.S.), IN
2 College of Agricultural Engineering, Maldad, AHMEDNAGAR (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 9, No 1 (2016), Pagination: 27-31Abstract
Quantitative assessment of runoff is needed for proper management of land and water resources especially for optimum agriculture production. This requires comprehensive knowledge of the various hydrological phenomena occurring in the catchment. All the watersheds cannot be gauged, as it would be costly and time consuming. Therefore, the indirect method of runoff quantification has to be resorted. The geomorphic parameters are quite useful as they reflect all the causative factors of the runoff. In the present study ten watersheds from Tapi catchment, Maharashtra, India were selected for development of geomorphic response models for prediction of June monthly runoff. Twelve geomorphic parameters were selected for development of model out of which two parameters, Sa and Rb are screened out in the principal component analysis. Remaining ten parameters are grouped into three physically significant components. The data sets were used to regress the runoff factor, R/√A , on three independent parameters (one each from already established components and rainfall factor, P/√A . It is observed that percentage deviation ranged from 0.3 to 7.0 using monthly runoff model for June. Therefore, developed runoff can be conveniently used for prediction of June month runoff from unguaged watersheds of the basin having similar physiographic conditions.Keywords
Geomorphic Response Model, Geomorphological Parameters, Runoff, Sediment Production Rate, PCA.References
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- Kumar, V. (1991).Deterministic modeling of annual runoff and sediment production rate for small watersheds of Damodar Valley Catchment, Indian J. Soil Cons., 19 (1 & 2):66-74.
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- Singh, P.K., Kumar, V., Purohit, R.C., Kothari, M. and Dashora, P.K. (2009). Application of principle component analysis in grouping geomorphic parameters for hydrological modelling.Water Res. Mgmt., 23:325-339.
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- Assessment of Groundwater Quality in Jaisamand Catchment for Drinking Purpose Using Geographical Information System
Abstract Views :232 |
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Authors
Affiliations
1 College of Technology and Engineering, Maharana Pratap University of Agricultural Technology, Udaipur (Rajasthan), IN
2 Agriculture College, Dhule (M.S.), IN
1 College of Technology and Engineering, Maharana Pratap University of Agricultural Technology, Udaipur (Rajasthan), IN
2 Agriculture College, Dhule (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 1 (2017), Pagination: 43-50Abstract
The present study focuses on a GIS-based assessment and characterization of groundwater quality using pre monsoon and post monsoon groundwater quality data. Spatio-temporal variations of water quality parameters in the study area were analysed by using GIS techniques. Maximum area of Jaisamand catchment showed the drinking water quality within permissible limit. EC somewhat extent within permissible limit during pre monsoon period. Sulphate content also exceeded from permissible limit some extent in pre monsoon period but in post monsoon period it was within permissible range. The maximum total dissolved solids were found in western site of study area during pre monsoon period whereas in post monsoon period maximum area showed total dissolved solids within permissible range.Keywords
Water Quality, GIS, Assessment, Spatio-Temporal.References
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- Soil Moisture Study under Drip Irrigated Cabbage (Brassica oleracea L. var. capitata) in Sandy Loam Soil
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Authors
Affiliations
1 Zonal Research Station (BAU), Darisai, East Singhbhum (Jharkhand), IN
2 Shramshakti College of Agricultural Engineering and Technology, Maldad, Sangamner (M.S.), IN
1 Zonal Research Station (BAU), Darisai, East Singhbhum (Jharkhand), IN
2 Shramshakti College of Agricultural Engineering and Technology, Maldad, Sangamner (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 2 (2017), Pagination: 468-473Abstract
Field experiment was conducted at Plasticulture Farm, CTAE, Udaipur, Rajasthan during Rabi season of 2012-2013 and 2013-2014 on sandy loam soil to study the moisture distribution pattern of sandy loam soil under the drip irrigated cabbage at various irrigation and fertigation levels. The experiments were laid out in Factorial Randomized Block Design with ten treatments which included three irrigation levels 100, 80 and 60% of evapotranspiration (ET) along with three fertigation levels, viz., 100, 75 and 50% of recommended dose of fertilizer and one control (Surface irrigation at 1.0 IW/CPE ratio + 100% RDF through farmer’s practice) and were replicated thrice. Observations revealed that highest yield (340.73 q ha-1) was recorded with the treatment combination of drip irrigation with 80 % ET and fertigation @ 75 % RDF. The crops treated with 80 per cent ET experienced that the moisture content was maintained near to field capacity at the ischolar_main zone of the crop. The vertical and radial spread of water in the soil increased with the amount of irrigation. In all the treatments, the soil moisture distribution along the vertical direction increased and laterally it was decreased.Keywords
Drip Irrigation, Fertigation, Soil Moisture Distribution, Cabbage.References
- Allen, R.G., Pereira, I.S., Daes, D. and Smith, M. (2000). Crop Evapotransperation, Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56.Rome, Italy.
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- Biswas, Pinaki Mondal, Tewari, R.K., Kundu, V.K. and Manisha Basu, K. (2007). Investigation on soil wetting patterns of low cost drip irrigation systems developed in India. Trends Appl. Sci. Res., 2 (1): 45-51.
- Chatterjee, Ranjit (2010). Physiological attributes of cabbage (Brassica oleracea) as influenced by different sources of yield response and economic feasibility of cauliflower under nutrients under Eastern Himalayan Region. Res. J. Agric. Sci., 1 (4) : 318-321.
- Gupta, A.J., Ahmed, N. and Bhat, F.N. (2009). Enhancement of yield and its attributes of sprouting broccoli through drip irrigation and fertigation. J. Veg. Sci., 36 (2): 179-183.
- Keller, J. and Karmeli, D. (1974). Trickle irrigation design parameters. Trans. American Soc. Agric. Engineers, 17: 678-684.
- Mane, M.S., Ayare, B.L. and Magar, S.S. (2006). Principles of drip irrigation system, Jain Brothers, New Delhi, pp. 24 - 87.
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- Rajput, T.B.S. and Patel, Neelam (2006). Water and nitrate movement in drip-irrigated onion under fertigation and irrigation treatments. Agric. Water Mgmt., 79 : 293-311.
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- Vijayakumar, G., Tamilmani, D. and Selvaraj, P.K. (2010). Irrigation and fertigation scheduling under drip irrigation in brinjal (Solanum melongena L.) crop. Indian J. Bio-Res. Mgmt., 1 (2) : 72-76.
- Generation of Water Quality Index Map Using Geographical Information System
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Authors
Affiliations
1 Department of S.W.E., Shramshakti College of Agricultural Engg. Maldad, Sangamner (M.S.), IN
2 Zonal Research Station (B.A.U.), Darisai, East Singhbhum (Jharkhand), IN
1 Department of S.W.E., Shramshakti College of Agricultural Engg. Maldad, Sangamner (M.S.), IN
2 Zonal Research Station (B.A.U.), Darisai, East Singhbhum (Jharkhand), IN
Source
International Journal of Agricultural Engineering, Vol 11, No 1 (2018), Pagination: 60-63Abstract
In this study different physico-chemical parameters such as pH, electrical conductivity (EC), total dissolved solids (TDS), calcium (Ca+), magnesium (Mg+), sodium (Na+), potassium (K+), bicarbonate (HCO3), carbonate (CO3), chloride (Cl-) and sulphate (SO4) present in pre and post-monsoon samples of the study area were determined using standard methods. Spatio-temporal variations of water quality parameters in the study area were analysed by using GIS techniques. The water quality index was computed by adopting the method of Tiwari and Mishra (1985) and Sinha and Saxena (2006) to determine the suitability of the groundwater for drinking purpose. The results show that in the pre monsoon period the 22.40 per cent area has good quality water for drinking purpose. The 61.62 per cent area has poor quality and 15.98 per cent area has very poor quality groundwater for drinking purpose. The 40.30 per cent has good quality and 59.70 per cent area has poor quality ground water for drinking purpose in post monsoon. The good quality water mainly occurred in East and middle portion of catchment area.Keywords
GIS Techniques, Physico-Chemical Parameters.References
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- Effect of Different Level of Drip Irrigation on Growth, Yield and Water use Efficiency of Okra (Abelmoschus esculentus L.)
Abstract Views :211 |
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Authors
Affiliations
1 Zonal Research Station (BAU), Darisai East Singhbhum (Jharkhand), IN
2 Shramshakti College of Agricultural Engineering and Technology, Maldad, Sangamner (M.S.), IN
1 Zonal Research Station (BAU), Darisai East Singhbhum (Jharkhand), IN
2 Shramshakti College of Agricultural Engineering and Technology, Maldad, Sangamner (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 12, No 1 (2019), Pagination: 124-128Abstract
A field experiment was conducted at Zonal Research Station, Darisai, East Singhbhum, Jharkhand during 2016-2017 to estimate the water requirement for increasing the productivity of okra. The experiments were laid out in Randomized Block Design with five treatments which included four level of drip irrigation viz., 100, 80, 60 and 40 per cent evapotranspiration (ET) and surface irrigation at 1.0 IW/CPE and were replicated thrice. The results revealed that higher yields (160.52 q ha-1) was recorded in treatment T1- Drip irrigation at 100 per cent ET with maximum plant height (102.6 cm) and number of branches plant-1 (2.08) and was significantly superior over rest treatment. The water use efficiency of 58.34 kg/ha/mm was recorded in drip irrigation at 40 per cent ET. The maximum benefit-cost ratio (1.40) was noted in T1- Drip irrigation at 100 per cent ET and minimum (0.61) in T4 - Drip irrigation at 40 per cent ET.Keywords
Okra, Drip Irrigation, Surface Irrigation, Water Requirement, Water Use Efficiency, Economics.References
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- Panigrahi, B., Roy, D.P. and Panda, S.N. (2010). Water use and yield response of tomato as influenced by drip and furrow irrigation. Internat. Agric. Engg. J., 19 (1): 19-30.
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- Vijayakumar, G., Tamilmani, D. and Selvaraj, P.K. (2010). Irrigation and fertigation scheduling under drip irrigation in brinjal (Solanum melongena L.) Crop. Indian J.Bio-research Mgmt., 1(2): 72-76.