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Mukhopadhyay, S.
- Status of Zinc Fractions in Soils of Cooch Behar District, West Bengal, India
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PDF Views:76
Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Uttar Banga Krishi Viswa Vidyalaya, Pundibari 736 165, IN
2 Department of Genetics and Plant Breeding, Uttar Banga Krishi Viswa Vidyalaya, Pundibari 736 165, IN
3 National Bureau of Soil Survey and Land Use Planning (ICAR), Block DK, Sector-II, Salt Lake, Kolkata 700 091, IN
1 Department of Soil Science and Agricultural Chemistry, Uttar Banga Krishi Viswa Vidyalaya, Pundibari 736 165, IN
2 Department of Genetics and Plant Breeding, Uttar Banga Krishi Viswa Vidyalaya, Pundibari 736 165, IN
3 National Bureau of Soil Survey and Land Use Planning (ICAR), Block DK, Sector-II, Salt Lake, Kolkata 700 091, IN
Source
Current Science, Vol 113, No 06 (2017), Pagination: 1173-1178Abstract
A study was conducted on the distribution of different forms of zinc (Zn) in soils (0–20 and 20–40 cm depths)in different blocks of Cooch Behar district, West Bengal,India. The soils of the selected areas were acidic in reaction (pH) at both the depths, ranging from 4.23 to 6.96 (0–20 cm) and 3.89 to 6.45 (20–40 cm) and having sandy to sandy loam texture. The different fractions of Zn varied among the soils of all locations. The order of different zinc fractions was: exchangeable zinc(Ex-Zn) < organic matter-bound zinc (OM-Zn) –1 at 0–20 cm depth and 0.92 kg ha–1 in the soils of Tufanganj-II at 20–40 cm depth respectively. Exch-Zn,OM-Zn, Mn-Ox-Zn and Am-Ox-Zn were positively correlated with CEC (r = 0.088, r = 0.105, r = 0.137, r = 0.103) at 0–20 cm depth, while at 20–40 cm depth, Exch-Zn, OM-Zn, Mn-Ox-Zn, Am-Ox Zn and Cry-Ox-Zn were positively correlated with CEC (r = 0.204, r = 0.168, r = 0.342, r = 0.123, r = 0.278). The influence of different soil properties on the distribution of Zn fractions in the soils was apparent from this study.Keywords
Acid Soil, Cation Exchange Capacity, Terai Region, Zinc Fractions.References
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- Pati, R. and Mukhopadhyay, D., Forms of soil acidity and the distribution of DTPA-extractable micronutrients in some soils of West Bengal (India). In Extended abstract, 19th World Congress of Soil Science, Brisbane, Australia, 1–6 August 2010, pp. 14–17.
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- Forest Cover Monitoring and Prediction in A Lesser Himalayan Elephant Landscape
Abstract Views :228 |
PDF Views:74
Authors
Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
Source
Current Science, Vol 115, No 3 (2018), Pagination: 510-516Abstract
We have monitored the forest cover depletion in parts of Assam and Arunachal Pradesh over an area of 42,375 km2 in an elephant landscape falling in the Lesser Himalaya, North East India and report the results here. The US Army topographic maps (1924) and multi-date satellite images (1975, 1990, 2000 and 2009) were visually interpreted on-screen for post-classification comparison and forest cover change detection. The exercise showed continuous high loss of forest cover during the study period. A land area having 17,846.27 km2 forest in 1924 was depleted to 12,514.56 km2 by 1975, 11,861.75 km2 by 1990, 10,808.92 km2 by 2000 and 10,256.58 km2 by 2009, thereby indicating a constant decrease in forest cover by 12.59%, 1.54%, 2.48% and 1.31% respectively. The total loss in forest cover was estimated to be about 7590 km2 from 1924 to 2009. The Cellular Automata Markov Model has predicted a further likely decrease of 9007.14 km2 by 2028. In general, more districts of Assam than Arunachal Pradesh and more plains than hills faced deforestation. We have identified increasing human population and subsequent demand on the land for cultivation as major reasons for forest cover depletion.Keywords
Change Detection, Deforestation, Elephant Landscape, North East India, Satellite Images.References
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- Intelligent inspection technology for cross-country buried petroleum pipelines
Abstract Views :171 |
PDF Views:98
Authors
Affiliations
1 Control Instrumentation Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
2 Electromagnetic Applications and Instrumentation Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
3 Seismology Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
4 Tower 6, Flat 401, Sagar Darshan, Sector 18, Navi Mumbai 400 706, India
1 Control Instrumentation Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
2 Electromagnetic Applications and Instrumentation Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
3 Seismology Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
4 Tower 6, Flat 401, Sagar Darshan, Sector 18, Navi Mumbai 400 706, India
Source
Current Science, Vol 123, No 3 (2022), Pagination: 396-405Abstract
A case study is presented here on the continued development efforts at the Bhabha Atomic Research Centre on instrumented pipeline inspection gauge for Indian Oil Corporation Limited over the last two decades. A marvel of technology involving challenges of non-destructive testing techniques, mechanical, magnetism, electronics, data processing and analysis, operational safety requirements and portability, qualifications of the tools and characterization of defects with acceptable accuracy were achieved to be at par with the internationally available tools. These tools are being extensively deployed in the field. The homegrown technology for in-line inspection has brought down the cost of the tool and that of the services per kilometre. Different technologies are now being pursued to ensure that the in-line inspection work in the country is carried out in an ‘Atmanirbhar’ way.References
- Bhattacharya, S., Mahapatra, U. and Srivastava, G. P., Instrumented pipeline inspection gauge (IPIG) for IOCL. BARC Newsletter, June 1999, Issue No. 185.
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- Mukherjee, D., Saha, S. and Mukhopadhyay, S., An adaptive channel equalization algorithm for MFL signal. NDT&E Int., 2012, 45(1), 111–119.
- Saha, S., Mukhopadhyay, S., Mahapatra, U., Bhattacharya, S. and Srivastava, G. P., Empirical structure for characterizing metal loss 43(6), 507–512.
- Mukherjee, D., Saha, S. and Mukhopadhyay, S., Inverse mapping of magnetic flux leakage signal for defect characterization. NDT&E Int., 2013, 54, 198–208.
- Bahuguna, S. K., Dhage, S., Mukhopadhyay, S. and Taly, Y. K., DSP–FPGA-based parallel architecture for acquisition and compression of instrumented pipeline inspection gauge data in real time. In Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013), Springer, India, 2013.
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