Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kumar, Sanjay
- Public-Private Partnership towards Rural Development: A Study of Artemisia annua in Uttar Pradesh
Abstract Views :247 |
PDF Views:82
Authors
Affiliations
1 Technology and Business Development Division, CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow 226 015, IN
2 Ipca Laboratories Limited, Ratlam 457 002, IN
1 Technology and Business Development Division, CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow 226 015, IN
2 Ipca Laboratories Limited, Ratlam 457 002, IN
Source
Current Science, Vol 109, No 7 (2015), Pagination: 1237-1239Abstract
No Abstract.Full Text
- Ionospheric Precursors Observed in TEC Due to Earthquake of Tamenglong on 3 January 2016
Abstract Views :213 |
PDF Views:69
Authors
Sanjay Kumar
1,
A. K. Singh
1
Affiliations
1 Atmospheric Research Laboratory, Banaras Hindu University, Varanasi 221 005, IN
1 Atmospheric Research Laboratory, Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 113, No 04 (2017), Pagination: 795-801Abstract
Ground-based GPS data show the presence of earthquake precursor in the form of perturbation in TEC of the ionosphere. The analysis of data for Tamenglong Earthquake (M = 6.7, 3 January 2016) from the stations at Lhasa, China (29.65°N, 91.10°E), Hyderabad, India (17.41°N, 78.55°E), and Patumwan, Thailand (13.73°N, 100.53°E) for the duration of 5-days before and after the main shock of the earthquake show large enhancement and decease in TEC. The results for Lhasa station which lies in the Earthquake preparation zone showed a decrease in TEC on 29 December (-37%) and 30 December (-9%) which is followed by an enhancement in TEC (47%) on 31 December, i.e. 3 days before the main shock. After the main shock negative ionospheric perturbation has been observed on 4, 5 and 7 January 2016 with a reduction of 20%, 32% and 24% respectively. Stations lying outside preparation zone (Patumwan and Hyderabad) did not show any ionospheric precursor.Keywords
Earthquake, GPS TEC, Ionosphere, Seismo-Electromagnetic.Full Text
References
- Hayakawa, M., VLF/LF radio sounding of ionospheric perturbations associated with earthquakes. Sensors, 2007, 7, 1141–1158.
- Liu, J. Y., Chen, Y. I., Chuo, Y. J. and Tsai, H. F., Variations of ionospheric total electron content during the Chi-Chi earthquake. Geophys. Res. Lett., 2001, 28, 1383–1386.
- Sharma, K., Dabas, R. S., Sarkar, S. K., Das, R. M., Ravindran, S. and Gwal, A. K., Anomalous enhancement of ionospheric F2 layer critical frequency and total electron content over low latitudes before three recent major earthquakes in China. J. Geophys. Res., 2010, 115, A11313; doi:10.1029/2009JA014842.
- Maurya, A. K., Singh, R., Veenadhari, B., Kumar, S. and Singh, A. K., Sub-ionospheric VLF perturbations associated with the 12 May 2008 M 7.9 Sichuan earthquake. Nat. Hazards Earth Syst. Sci., 2013, 13, 2331–2336.
- Aggarwal, M., Anomalous changes in ionospheric TEC during an earthquake event of 13–14 April 2010 in the Chinese sector. Adv. Space Res., 2015, 56, 1400–1412.
- Priyadarshi, S., Kumar, S. and Singh, A. K., Ionospheric perturbation in Total Electron Content (TEC) associated with two recent major earthquakes (M > 5.0). Phys. Scr., 2011, 84, 045901.
- Priyadarshi, S., Kumar, S. and Singh, A. K., Ionospheric perturbations in total electron content (TEC) associated with some major earthquakes. J. Geomantic Nat. Hazards Risk, 2011, 2(2), 123–139.
- Li, J., Meng, G., Xinzhao, Y., Zhang, R., Hongbo, S. and Yufei, H., Ionospheric total electron content disturbance associated with May 12, 2008, Wenchuan earthquake. Geodesy Geodyn., 2015, 2, 126–134.
- Namgaladze, A. A., Klimenko, M. V., Klimenko, V. V. and Zakharenkova, I. E., Physical mechanism and mathematical modeling of earthquake ionospheric precursors registered in total electron content. Geomagnetism Aeronomy, 2009, 49(2), 252–262; doi:10.1134/S0016793209020169.
- Liu, J. Y., Chuo, Y. J., Pulinets, S. A., Tsai, H. F. and Zeng, X., A study on the TEC perturbations prior to the Rei-Li, Chi-Chi and Chia-Yi earthquakes. In Seismo Electromagnetics: Lithospheric–Atmospheric–Ionospheric Coupling (eds Hayakawa, M. and Molchanov, O. A.), Terra Scientific, Tokyo, 2002, pp. 297–301.
- Liu, J. Y. and Sun, Y. Y., Seismo-travelling ionospheric disturbances of ionograms observed during the 2011 Mw 9.0 Tohoku Earthquake. Earth Planet. Space, 2011, 63, 897–902.
- Liu, J. Y. et al., Seismoionospheric GPS total electron content anomalies observed before the 12 May 2008 Mw 7.9 Wenchuan earthquake. J. Geophys. Res., 2009, 114, A04320; http://dx.doi.org/10.1029/2008JA013698.
- Nishihashi, M., Hattori, K., Jhuang, H. K. and Liu, J. Y., Possible spatial extent of ionospheric GPS-TEC and NmF2 anomalies related to the 1999 Chi-Chi and Chia-Yi Earthquakes in Taiwan. Terr. Atmos. Oceanic Sci., 2009, 20, 779–789.
- Sudarsanan, A. S., Bagiya, M. S., Reddy, C. D., Kumar, M. and Ramesh, D. S., Post-seismic ionospheric response to the 11 April 2012 East Indian Ocean doublet earthquake. Earth Planet. Space, 2015, 67, 37.
- Kumar, S. and Singh, A. K., Variation of ionospheric total electron content in Indian low latitude region of equatorial ionization anomaly (EIA). J. Adv. Space Res., 2009, 43, 1555–1562.
- Liu, J. Y., Chuo, Y. J., Shan, S. J., Tsai, Y. B., Chen, Y. I., Pulinets, S. A. and Yu, S. B., Pre-earthquake ionospheric anomalies registered by continuous GPS TEC measurements. Ann. Geophys., 2004, 22, 1585–1593.
- Dobrovolsky, I. P., Zubkov, S. I. and Myachkin, V. I., Estimation of the size of earthquake preparation zones. Pure Appl. Geophys., 1979, 117, 1025–1044.
- Rama Rao, P. V. S., Gopi Krishna, S., Niranjan, K. and Prasad, D. S. V. V. D., Study of spatial and temporal characteristics of L-band scintillations over the Indian low-latitude region and their possible effects on GPS navigation. Ann. Geophys., 2006, 24, 1567–1580.
- Liu, J. Y. and Sun, Y. Y., Seismo-travelling ionospheric disturbances of ionograms observed during the 2011 Mw 9.0 Tohoku Earthquake. Earth Planet. Space, 2011, 63, 897–902.
- Telesca, L., Colangelo, G., Hattori, K. and Lapenna, V., Principal component analysis of geoelectric signals measured in seismically active area of Basilicate Region (Southern Italy). Nat. Hazards Earth Syst. Sci., 2004, 4, 663–667.
- Pulinets, S. and Ouzounov, D., Lithosphere–Atmosphere–Ionosphere Coupling (LAIC) model – a unified concept for earthquakeprecursors validation. J. Asian Earth Sci., 2011, 41, 371–382.
- Pulinets, S. A., Legenka, A. D. and Zelenova, T. I., Dependence of the seismoionospheric variations in the F-layer maximum on the local time. Geomag. Aeron., 1998, 38, 400–402.
- Sorokin, V. M. and Ruzhin, Y. Y., Electrodynamic model of atmospheric and ionospheric processes on the eve of an earthquake, Geomag. Aeron., 2015, 5(5), 626–642; doi: 10.1134/S0016793215050163.
- Namgaladze, A. A. and Karpov, M. I., Conductivity and external electric currents in the global electric circuit. Russ. J. Phys. Chem. В., 2015, 9(4), 754–757; doi: 10.1134/S1990793115050231.
- Karpov, M. I., Namgaladze, A. A. and Zolotov, O. V., Modeling of total electron content disturbances caused by electric currents between the earth and the ionosphere. Russ. J. Phys. Chem. B., 2013, 7(5), 594–598; doi:10.1134/S1990793113050187
- Yasuoka, Y., Igarashi, G., Ishikawa, T., Tokonami, S. and Shinogi, M., Evidence of precursor phenomena in the Kobe earthquake obtained from atmospheric radon concentration. Appl. Geochem., 2006, 21, 1064–1072.
- Singh, R. P., Mehdi, W. and Sharma, M., Complementary nature of surface and atmospheric parameters associated with Haiti earthquake of 12 January 2010. Nat. Hazards Earth Syst. Sci., 2010, 10, 1299–1305.
- Sharma, K., Das, R. M., Dabas, R. S., Pillai, K. G. M., Garg, S. C. and Mishra, A. K., Ionospheric precursors observed at low latitudes around the time of Koyna earthquake. Adv. Space Res., 2008, 42, 1238–1245.
- Maintaining Agricultural Sustainability through Carbon Footprint Management
Abstract Views :64 |
PDF Views:26
Authors
Sumit Sow
1,
Shivani Ranjan
1,
Biswaranjan Behera
2,
Mainak Ghosh
3,
Sanjay Kumar
3,
Swaraj Kumar Dutta
4
Affiliations
1 Department of Agronomy, Dr Rajendra Prasad Central Agricultural University, Pusa 848 125, IN
2 ICAR-Indian Institute of Water Management, Bhubaneswar 751 023, IN
3 Department of Agronomy, Bihar Agricultural University, Sabour 813 210, IN
4 Department of Agronomy, Dr Kalam Agricultural College, Kishanganj 855 117, IN
1 Department of Agronomy, Dr Rajendra Prasad Central Agricultural University, Pusa 848 125, IN
2 ICAR-Indian Institute of Water Management, Bhubaneswar 751 023, IN
3 Department of Agronomy, Bihar Agricultural University, Sabour 813 210, IN
4 Department of Agronomy, Dr Kalam Agricultural College, Kishanganj 855 117, IN
Source
Current Science, Vol 125, No 9 (2023), Pagination: 939-944Abstract
Global awareness of climate change issues, particularly changes in air temperature, has increased dramatically over the last half a century. Concerns regarding ecosystem sustainability and human existence on Earth arise due to population expansion, rising surface temperatures and increased greenhouse gas (GHG) emissions. Agriculture accounts for approximately 18% of the total GHG emissions, largely in the form of carbon dioxide, methane and nitrous oxide. As a result, limiting GHG emissions is critical to alleviating the consequences of climate change, which is attainable if the concept of carbon footprint is understood. Cereal production produces more GHG emissions than other farming methods, including vegetables and fruits. ‘Carbon footprint’ is a popular term in agriculture and environmental research due to its involvement in environmental impact assessments and global climate change. GHG emissions are influenced by changes in land use, soil type and agricultural management approaches. Therefore, it is important to consider how agricultural management practices, particularly those involving the soil and related systems, affect the relationships between photosynthesis and GHG emissions. This study deals with the concept of carbon footprint in agriculture and various mitigation measures for its management.Keywords
Agricultural Management, Carbon Footprint, Climate Change, Greenhouse Gas Emissions, Soil Health.Full Text
References
- Babur, E. and Dindaroglu, T., Seasonal changes of soil organic carbon and microbial biomass carbon in different forest ecosystems. In Environmental Factors Affecting Human Health, IntechOpen, 2020, vol. 1, pp. 1–21.
- Udara Willhelm Abeydeera, L. H., Wadu Mesthrige, J. and Samara-singhalage, T. I., Global research on carbon emissions: a scientometric review. Sustainability, 2019, 11, 3972; doi:10.3390/su11143972.
- Gao, T., Liu, Q. and Wang, J., A comparative study of carbon foot-print and assessment standards. Int. J. Low-Carbon Technol., 2013, 9(3), 237–243; doi:10.1093/ijlct/ctt041.
- Ozlu, E. and Arriaga, F. J., The role of carbon stabilization and minerals on soil aggregation in different ecosystems. Catena, 2021, 202, 105303; doi:10.1016/j.catena.2021.105303.
- Qi, J. Y., Yang, S. T., Xue, J. F., Liu, C. X., Du, T. Q., Hao, J. P. and Cui, F. Z., Response of carbon footprint of spring maize production to cultivation patterns in the Loess Plateau, China. J. Clean. Prod., 2018, 187, 525–536; doi:10.1016/j.jclepro.2018.02.184.
- Wilson, D. C. et al., Global Waste Management Outlook, United Nations Environment Programme, Vienna, Austria, 2015, p. 346.
- Rees, W. E., Ecological footprints and appropriated carrying capacity: what urban economics leaves out. Environ. Urban., 1992, 4, 121–130.
- Wiedmann, T. and Minx, J., A definition of ‘carbon footprint’. Ecol. Econ. Res. Trends, 2008, 1, 1–11.
- Lal, R. and Follett, R. F., Soil Carbon Sequestration and the Greenhouse Effect, Soil Science Society of America Special Publication 57, 2nd edn, Madison, WI, USA, 2009, vol. 57, pp. 321–346.
- Blanco-Canqui, H., Hergert, G. W. and Nielsen, R. A., Cattle manure application reduces soil compatibility and increases water retention after 71 years. Soil Sci. Soc. Am. J., 2015, 79(1), 212–223; doi:10.2136/sssaj2014.06.0252.
- Gu, J., Nicoullaud, B., Rochette, P., Grossel, A., Hénault, C., Cellier, P. and Richard, G., A regional experiment suggests that soil texture is a major control of N2O emissions from tile-drained winter wheat fields during the fertilization period. Soil Biol. Biochem., 2013, 60, 134–141; doi:10.1016/j.soilbio.2013.01.029.
- Ozlu, E. and Kumar, S., Response of soil organic carbon, pH, electrical conductivity, and water stable aggregates to long-term annual manure and inorganic fertilizer. Soil Sci. Soc. Am. J., 2018, 82, 1243–1251; doi:10.2136/sssaj2018.02.0082.
- FAOSTAT, Emissions agriculture, Food and Agriculture Organization of the United Nations, Rome, Italy, 2020; https://www.fao.org/faostat/en/#data/GT.
- Jaiswal, B. and Agrawal, M., Carbon footprints of agriculture sector. In Carbon Footprints, Environmental Footprints and Eco-design of Products and Processes (ed. Muthu, S.), Springer, Singapore, 2020, pp. 81–99; doi:10.1007/978-981-13-7916-1_4.
- Hamelin, L., Jørgensen, U., Petersen, B. M., Olesen, J. E. and Wenzel, H., Modelling the carbon and nitrogen balances of direct land use changes from energy crops in Denmark: a consequential life cycle inventory. GCB Bioenergy, 2012, 4(6), 889–907; doi:10.1111/j.1757-1707.2012.01174.x.
- Andren, O. and Katterer, T., ICBM: the introductory carbon balance model for exploration of soil carbon balances. Ecol. Appl., 1997, 7, 1226–1236.
- Coleman, K. and Jenkinson, D. S., RothC-26.3 – a model for the turnover of carbon in soil. In Evaluation of Soil Organic Matter Models, Springer, Berlin, Germany, 1996, pp. 237–246.
- Goglio, P. et al., A comparison of methods to quantify greenhouse gas emissions of cropping systems in LCA. J. Clean. Prod., 2018, 172, 4010–4017; doi:10.1016/j.jclepro.2017.03.133.
- Nguyen, D. H., Biala, J., Grace, P. R., Scheer, C. and Rowlings, D. W., Greenhouse gas emissions from sub-tropical agricultural soils after addition of organic by-products. Springer Plus, 2014, 3, 491; doi:10.1186/2193-1801-3-491.
- Yadav, G. S. et al., Energy budget and carbon footprint in a no-till and mulch-based rice–mustard cropping system. J. Clean. Prod., 2018, 191, 144–157; doi:10.1016/j.jclepro.2018.04.173.
- Yousefi, M., Khoramivafa, M. and Damghani, A. M., Water foot-print and carbon footprint of the energy consumption in sunflower agroecosystems. Environ. Sci. Pollut. Res., 2017, 24(24), 19827–19834; doi:10.1007/s11356-017-9582-4.
- Devakumar, A. S., Pardis, R. and Manjunath, V., Carbon footprint of crop cultivation process under semiarid conditions. Agric. Res., 2018, 7(2), 167–175; doi:10.1007/s40003-018-0315-9.
- Yadav, G. S. et al., Energy budgeting for designing sustainable and environmentally clean/safer cropping systems for rainfed rice fallow lands in India. J. Clean. Prod., 2017, 158, 29–37; doi:10.1016/j.jclepro.2017.04.170.
- Sah, D. and Devakumar, A. S., The carbon footprint of agricultural crop cultivation in India. Carbon Manage., 2018, 9(3), 213–225; doi:10.1080/17583004.2018.1457908.
- Jiang, Z., Zhong, Y., Yang, J., Wu, Y., Li, H. and Zheng, L., Effect of nitrogen fertilizer rates on carbon footprint and ecosystem service of carbon sequestration in rice production. Sci. Total Environ., 2019, 670, 210–217; doi:10.1016/j.scitotenv.2019.03.188.
- Zhang, D., Shen, J., Zhang, F., Li, Y. E. and Zhang, W., Carbon footprint of grain production in China. Sci. Rep., 2017, 7(1), 4126; doi:10.1038/s41598-017-04182-x.
- Jat, S. L. et al., Energy auditing and carbon footprint under long-term conservation agriculture-based intensive maize systems with diverse inorganic nitrogen management options. Sci. Total Environ., 2019, 664, 659–668; doi:10.1016/j.scitotenv.2019.01.425.
- Hedayati, M., Brock, P. M., Nachimuthu, G. and Schwenke, G., Farm-level strategies to reduce the life cycle greenhouse gas emissions of cotton production: an Australian perspective. J. Clean. Prod., 2019, 212, 974–985; doi:10.1016/j.jclepro.2018.11.190.
- Raucci, G. S., Moreira, C. S., Alves, P. A., Mello, F. F. C., Frazão, L. D. A., Cerri, C. E. P. and Cerri, C. C., Greenhouse gas assessment of Brazilian soybean production: a case study of Mato Grosso State. J. Clean. Prod., 2015, 96, 418–425; doi:10.1016/j.jclepro.2014.02.064.
- Yodkhum, S., Gheewala, S. H. and Sampattagul, S., Life cycle GHG evaluation of organic rice production in northern Thailand. J. Environ. Manage., 2017, 196, 217–223; doi:10.1016/j.jenvman.2017.03.004.
- Forleo, M. B., Palmieri, N., Suardi, A., Coaloa, D. and Pari, L., The eco-efficiency of rapeseed and sunflower cultivation in Italy. Joining environmental and economic assessment. J. Clean. Prod., 2018, 172, 3138–3153; doi:10.1016/j.jclepro.2017.11.094.
- Gerber, P. J. et al., Tackling climate change through livestock – a global assessment of emissions and mitigation opportunities. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy, 2013.
- Johnson, K. A. and Johnson, D. E., Methane emissions from cattle. J. Anim. Sci., 1995, 73(8), 2483–2492.
- Hristov, A. N. et al., Special topics – mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options. J. Anim. Sci., 2013, 91(11), 5045–5069.
- Liu, C., Cutforth, H., Chai, Q. and Gan, Y., Farming tactics to reduce the carbon footprint of crop cultivation in semiarid areas. A review. Agron. Sustain. Dev., 2016, 36(4), 69; doi:10.1007/s13593-016-0404-8.
- Farooq, M., Hussain, M., Ul-Allah, S. and Siddique, K. H. M., Physiological and agronomic approaches for improving water-use efficiency in crop plants. Agric. Water Manage., 2019, 219, 95–108; doi:10.1016/j.agwat.2019.04.010.
- Yao, Z. et al., Urea deep placement reduces yield-scaled green-house gas (CH4 and N2O) and NO emissions from a ground cover rice production system. Sci. Rep., 2017, 7(1), 11415; doi:10.1038/s41598-017-11772-2.
- Wassmann, R., Hosen, Y., Sumfleth, K. and Setyorini, D., Methane emission from rice fields with different irrigation practices in Central Luzon (Philippines). Nutr. Cycl. Agroecosyst., 2009, 83(3), 235–255.
- Neue, H. U., Wassmann, R., Lantin, R. S., Alberto, M. C. and Aduna, J. B., Reducing methane emission from rice production in Asia. Agric. Ecosyst. Environ., 2016, 216, 46–58.
- Gao, N., Wei, Y., Zhang, W., Yang, B., Shen, Y., Yue, S. and Li, S., Carbon footprint, yield and economic performance assessment of different mulching strategies in a semi-arid spring maize system. Sci. Total Environ., 2022, 826, 154021; https://doi.org/10.1016/j.scitotenv.2022.154021.
- Pandey, D. and Agrawal, M., Carbon footprint estimation in the agriculture sector. In Assessment of Carbon Footprint in Different Industrial Sectors. Volume 1, Ecoproduction (ed. Muthu, S.), Springer, Singapore, 2014, pp. 25–47; doi:10.1007/978-981-4560-41-2_2.
- Skinner, C., Gattinger, A., Krauss, M., Krause, H. M., Mayer, J., van der Heijden, M. G. and Mader, P., The impact of long-term organic farming on soil-derived greenhouse gas emissions. Sci. Rep., 2019, 9(1), 1702; doi:10.1038/s41598-018-38207-w.
- Bonilla, D. P., Serra, I. N., Raffaillac, D., Martínez, C. C. and Justes, E., Carbon footprint of cropping systems with grain legumes and cover crops: a case-study in SW France. Agric. Syst., 2018, 167, 92–102; doi:10.1016/j.agsy.2018.09.004.
- Powlson, D. S., Stirling, C. M., Thierfelder, C., White, R. P. and Jat, M. L., Does conservation agriculture deliver climate change mitigation through soil carbon sequestration in tropical agro-ecosystems? Agric. Ecosyst. Environ., 2016, 220, 164–174; doi:10.1016/j.agee.2016.01.005.
- Bhatia, A., Pathak, H., Jain, N., Singh, P. K. and Tomer, R., Green-house gas mitigation in rice–wheat system with leaf color chart-based urea application. Environ. Monit. Assess., 2012, 184(5), 3095–3107; doi:10.1007/s10661-011-2174-8.