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Sesha Sai, M. V. R.
- Mapping of Nutrient Status of Rice Soils in Visakhapatnam District Using Gis Techniques
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1 Department of Soil Science and Agricultural Chemistry, Acharya N.G. Ranga Agricultural University, Hyderabad (A.P.), IN
2 Department of Soil Science and Agricultural Chemistry, Acharya N.G. Ranga Agricultural University, Hyderabad, IN
3 National Remote Sensing Centre, Balanagar, Hyderabad (A.P.) INDIA, IN
1 Department of Soil Science and Agricultural Chemistry, Acharya N.G. Ranga Agricultural University, Hyderabad (A.P.), IN
2 Department of Soil Science and Agricultural Chemistry, Acharya N.G. Ranga Agricultural University, Hyderabad, IN
3 National Remote Sensing Centre, Balanagar, Hyderabad (A.P.) INDIA, IN
Source
An Asian Journal of Soil Science, Vol 8, No 2 (2013), Pagination: 325-329Abstract
No AbstractKeywords
Soil Fertility, Mapping, Spatial Variability, Geographic Information System
References
- Basava Raju, D., Naidu, M.V.S., Ramavatharam, N., Venkaiah, K., Rama Rao, G. and Reddy, K.S. (2005). Characterization, classification and evaluation of soils in Chandragirimandal of Chittoor district, Andhra Pradesh. Agropedology, 15 : 5562.
- Gangopadhyay, S.K.,Walia, C.S., Chamuah, G.S. and Baruah, U. (1998). Rice growing soils of upper Brahmaputra valley of Assam their characteristics and suitability. J. Indian Soc. Soil Sci., 46 : 103-109.
- Madhuvani, P., Bhanu Prasad, V., SeshagiriRao, M. and Prasuna Rani, P. (2000). Physical, physic-chemical and chemical properties of soils developed on granite-gnesis and sand stone. Andhra Agric. J., 47 : 301-305.
- Mandal, D.K., Khadare, N.C., Mandal, C. and Challa, O. (2003). Water use efficiency of cotton as influenced by agro environment. J. Indian Soc. Soil Sci., 51 : 17-22.
- Olsen, S.R., Cole, C.V., Watanabe, F.S. and Dean, L.A. (1954). Estimation of available phosphorus in soils by extraction with sodium bicarbonate.Circular of United States Development of Agriculture. 939 pp.
- Prasad, P.R.K., Subbaiah, G.V., Satyanarayana, V. and Rao, C.S. (1998). Water retention characteristics of predominant soil types in command areas of Krishna, Godavari and Sarada rivers of Andhra Pradesh. J. Indian Soc. Soil Sci., 46 : 171-176.
- Pratt, P.F. (1982). Potassium. Pp.225-246. In: Methods of soil analysis. Part II. Chemical and microbiological properties. (A.L. Page, R.H. Miller and D.R. Keeney, Ed.), Madison, Wisconsin, USA.
- Sahu, G.C., Patnaik, S.N. and Das, P.K. (1990). Morphology, genesis, mineralogy and classification of soils of Northern plateau Zone of Orissa. J. Indian Soc. Soil Sci., 38 : 116.
- Sharma, P.K. (2004). Emerging technologies of remote sensing andGIS for the development of spatial infrastructure. J. Indian Soc. Soil Sci., 52 : 384-406.
- Sharma, P.K., Sood, Anil, Setia, R.K., Tur, N.S., Mehra, Deepak and Singh, Harpinder (2008). Mapping of macronutrients in soils of Amritsar district (Punjab). A GIS approach. J. Indian Soc. Soil Sci., 56 : 34-41.
- Subbiah, B.V. and Asija, C.L. (1956). A rapid procedure for the estimation of available nitrogen in soils. Curr. Sci., 25 : 32. Tamgadge, D.B., Gajbhiye, K.S. and Bankar, W.V. (2002). Evaluation of soils suitability for paddy cultivation in Chattisgarh- A parametric approach. J. Indian Soc. Soil Sci., 50 : 81-88.
- Tandon, H.L.S. (ed). (1993). Methods of analysis of soils, plants, water and fertilizers. Fertilizer development and consultation organization, New Delhi, India. 31 pp.
- Walkley, A. and Black, C.A. (1934). An examination of the degtjareff method for determining the soil organic matter and proposed modification of the chromic acid titration method. Soil Sci., 37: 29-38.
- Watanabe, F.S. and Olsen, S.R. (1965). Test of an ascorbic acid method for determining phosphorus in water and NaHCO3 extracts. Soil Sci. Soc. America Proc., 29 : 677-678.
- Dominance of Natural Aerosols Over India In Pre-Monsoon: Inferences From the Lockdown Effects
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Authors
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
1 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
Source
Current Science, Vol 120, No 2 (2021), Pagination: 352-359Abstract
Changes in absorbing and composite aerosols over India during the first phase of lockdown are examined, using multi-satellite observations. While MODIS shows β16.17 ο± 1.35% reduction in AOD over the Indian landmass, OMI shows a decrease of β22.4 ο± 1.36% (β26.2 ο± 1.17%) in AOD (AAOD). Considerable fraction of this AOD difference is contributed by the changes in aerosols at higher altitudes. While reduc-tion in AOD of β38.05 ο± 1.06% (β39.4 ο± 1.12), β23.02 ο± 2.63% (β17.08 ο± 2.12) and β18.98 ο± 2.86% (β28.38 ο± 2.39%) is observed over IGP, Northwest and Southern Peninsula respectively from MODIS (OMI), enhance-ment in AOD of 5.16 ο± 2.44% (6.82 ο± 2.86%) is seen over Centralwest India. Reduction in absorbing aero-sols over IGP is β39.18 ο± 1.25%, whereas that over Southern Peninsula is β33.1 ο± 2.03%. These changes are significantly contributed by the changes in dust aerosols, in addition to the decrease in anthropogenic aerosols. Though there is a reduction in aerosol load-ing, compared to previous years, gradual increase in AOD and AAOD is seen even during the lockdown period due to strengthening of dust transport. More-over, the reduction in total (absorbing) aerosol load-ing over India during the lockdown phase is only 20% (26%), with significant contribution from higher alti-tudes, even in the absence of major anthropogenic sources. These results show the dominance of natural aerosols over India during pre-monsoon.Keywords
Absorbing Aerosols, Anthropogenic Aero-sols, COVID-19, Dust, Forest Fire, Lockdown, Natural Aero-sols.Full Text
References
- Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley Jr, J. A., Hansen, J. E. and Hofmann, D. J., Climate forcing by an-thropogenic aerosols. Science, 1992, 255, 423β430.
- Russell, P. B., Hobbs, P. V. and Stowe, L. L., Aerosol properties and radiative effects in the United States east coast haze plume: An overview of the Tropospheric Aerosol Radiative Forcing Observational Experiment (TARFOX). J. Geophys. Res., 1999, 104(D2), 2213β2222.
- IPCC (Intergovernmental Panel for Climate Change), Climate Change 2013: The Physical Science Basis, Cambridge University Press, Cambridge, 2014.
- McCormick, R. and Ludwig, J., Climate modification by atmos-pheric aerosols. Science, 1967, 156(3780), 1358β1359.
- Charlson, R. and Pilat, M., Climate: The influence of aerosols. J. Appl. Meteorol., 1969, 8, 1001β1002.
- Coakley Jr, J. A., Cess, R. D. and Yurevich, F. B., The effect of tropospheric aerosols on the Earthβs radiation budget: A parame-terization for climate models. J. Atmos. Sci., 1983, 40, 116β138.
- Twomey, S., The influence of pollution on the shortwave albedo of clouds. J. Atmos. Sci., 1977, 34, 1149β1152.
- IPCC (Intergovernmental Panel for Climate Change), Climate Change 2007: The Physical Science Basis, Cambridge, United Kingdom, 2007.
- Carslaw, K. S. et al., Large contribution of natural aerosols to uncertainty in indirect forcing. Nature, 2013, 503(7474), 67β71.
- Rosenfeld, D., Wood, R., Donner, L. J. and Sherwood, S. C., Aer-osol cloud-mediated radiative forcing: highly uncertain and oppo-site effects from shallow and deep clouds. In Climate Science for Serving Society, Springer, Dordrecht, 2013, pp. 105β149.
- Penner, J. E. et al., Quantifying and minimizing uncertainty of climate forcing by anthropogenic aerosols. Bull. Am. Meteorol. Soc., 1994, 75(3), 375β400.
- Prospero, J. M. et al., The atmospheric aerosol system: an over-view. Rev. Geophys. Space Phys., 1983, 21(7), 1607β1629.
- Moorthy, K. K., Babu, S. S., Manoj, M. R. and Satheesh, S. K., Build up of aerosols over the Indian region. Geophys. Res. Lett., 2013, 50, 1011β1014.
- Prijith, S. S., Babu, S. S., Lakshmi, N. B., Satheesh, S. K. and Moorthy, K. K., Meridional gradients in aerosol vertical distribu-tion over Indian mainland: Observations and model simulations. Atmos. Environ., 2016, 125, 338β345.
- Prijith, S. S., Rao, P. V. N., Mohan, M., Sai, M. V. R. S. and Ramana, M. V., Trends of absorption, scattering and total aerosol optical depths over India and surrounding oceanic regions from satellite observations: Role of local production, transport and atmospheric dynamics. Environ. Sci. Poll. Res., 2018, 25(18), 18147β18160.
- Satheesh, S. K. and Moorthy, K. K., Radiative effects of natural aerosols: A review. Atmos. Environ., 2005, 39(11), 2089β2110.
- Ramachandran, S., Srivastava, R., Kedia, S. and Rajesh, T. A., Contribution of natural and anthropogenic aerosols to optical properties and radiative effects over an urban location. Environ. Res. Lett., 2012, 7(3), 034028.
- Nair, P. R., Parameswaran, K., Sunilkumar, S. V., Abraham, A. and Jacob, S., Chemical composition of atmospheric aerosols over the Indian Ocean: impact of continental advection. Adv. Space Res., 2004, 34(4), 828β832.
- Nair, V. S., Satheesh, S. K., Moorthy, K. K., Babu, S. S., Nair, P. R. and George, S. K., Surprising observation of large anthropo-genic aerosol fraction over the βnearβpristineβ southern Bay of Bengal: Climate implications. J. Geophys. Res., 2010, 115(D21), 1β10.
- Omar, A. H. et al., The CALIPSO automated aerosol classification and lidar ratio selection algorithm. J. Atmos. Oceanic Tech., 2009, 26(10), 1994β2014.
- Mao, Q., Huang, C., Chen, Q., Zhang, H. and Yuan, Y., Satellite-based identification of aerosol particle species using a 2D-space aerosol classification model. Atmos. Environ., 2019, 219, 117057.
- Allen, R. J. and Sherwood, S. C., The impact of natural versus an-thropogenic aerosols on atmospheric circulation in the Community Atmosphere Model. Clim. Dyn., 2011, 36(9β10), 1959β1978.
- Latha, K. M., Badarinath, K. V. S. and Moorthy, K. K., Impact of diesel vehicular emissions on ambient black carbon concentration at an urban location in India. Curr. Sci., 2004, 86(3), 451β453.
- Kompalli, S. K., Moorthy, K. K. and Babu, S. S., Rapid response of atmospheric BC to anthropogenic sources: observational evi-dence. Atmos. Sci. Let., 2014, 15(3), 166β171.
- Mahalakshmi, D. V., Sujatha, P., Naidu, C. V. and Chowdary, V. M., Response of vehicular emissions to air pollution and radiation A case study during public strike in Hyderabad, India. Sustaine. Environ. Res., 2015, 25(4), 227β234.
- Kaufman, Y. J. et al., Passive remote sensing of tropospheric aer-osol and atmospheric correction for the aerosol effect. J. Geophys. Res., 1997, 102(D14), 16815β16830.
- Ichoku, C., Kaufman, Y. J., Remer, L. A. and Levy, R., Global aerosol remote sensing from MODIS. Adv. Space. Res., 2004, 34(4), 820β827.
- Remer, L. A. et al., The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci., 2005, 62(4), 947β973.
- Torres, O. et al., Aerosols and surface UV products from Ozone Monitoring Instrument observations: an overview. J. Geophys. Res., 2007, 112(D24), 1β14.
- Stephens, G. L. et al., The CloudSat mission and the A-Train: A new dimension of space-based observations of clouds and precipi-tation. Bull. Am. Meteorol. Soc., 2002, 83(12), 1771β1790.
- Livingston, J. M. et al., Comparison of aerosol optical depths from the Ozone Monitoring Instrument (OMI) on Aura with results from airborne sunphotometry, other space and ground measure-ments during MILAGRO/INTEX-B. Atmos. Chem. Phys., 2009, 9(18), 6743β6765.
- Winker, D. M., Hunt, W. H. and McGill, M. J., Initial perfor-mance assessment of CALIOP. Geophys. Res. Lett., 2007, 34, L19803.
- Giglio, L., Schroeder, W. and Justice, C. O., The collection 6 MODIS active fire detection algorithm and fire products. Remote Sens. Environ., 2016, 178, 31β41.
- Li, J., Carlson, B. E. and Lacis, A. A., Application of spectral analysis techniques in the intercomparison of aerosol data: Part III. Using combined PCA to compare spatiotemporal variability of MODIS, MISR, and OMI aerosol optical depth. J. Geophys. Res., 2014, 119(7), 4017β4042.
- Babu, S. S. et al., Free tropospheric black carbon aerosol meas-urements using high altitude balloon: Do BC layers build βtheir own homesβ up in the atmosphere? Geophys. Res. Lett., 2011, 38(8), L08803(1β6).
- Govardhan, G., Satheesh, S. K., Nanjundiah, R., Moorthy, K. K., and Babu, S. S., Possible climatic implications of high-altitude black carbon emissions. Atmos. Chem. Phys., 2017, 17(15), 9623.
- Aloysius, M., Sijikumar, S., Prijith, S. S., Mohan, M. and Parameswaran, K., Role of dynamics in the advection of aerosols over the Arabian Sea along the west coast of peninsular India dur-ing pre-monsoon season: A case study based on satellite data and regional climate model. J. Earth Syst. Sci., 2011, 120(2), 269β279.
- Prijith, S. S., Rajeev, K., Thampi, B. V., Nair, S. K. and Mohan, M., Multi-year observations of the spatial and vertical distribution of aerosols and the genesis of abnormal variations in aerosol load-ing over the Arabian Sea during Asian Summer Monsoon Season. J. Atmos. Sol. Terr. Phys., 2013, 105, 142β151.
- Prijith, S. S., Rao, P. V. N. and Mohan, M., Genesis of elevated aerosol loading over the India region. SPIE Asia Pac. Rem. Sens., 2016, 988208, 1β11.
- Babu, S. S. et al., Trends in aerosol optical depth over Indian region: Potential causes and impact indicators. J. Geophys. Res., 2013, 118(20), 11β794.
- Vinoj, V., Rasch, P. J., Wang, H., Yoon, J. H., Ma, P. L., Landu, K. and Singh, B., Short-term modulation of Indian summer mon-soon rainfall by West Asian dust. Nature Geosci., 2014, 7(4), 308β13.
- Deepshikha, S., Satheesh, S. K. and Srinivasan, J., Regional dis-tribution of absorbing efficiency of dust aerosols over India and adjacent continents inferred using satellite remote sensing. Ge-ophys. Res. Lett., 2005, 32(3), L03811(1β4).
- Moorthy, K. K., Babu, S. S., Satheesh, S. K., Srinivasan, J. and Dutt, C. B. S., Dust absorption over the βGreat Indian Desertβ inferred using groundβbased and satellite remote sensing. J. Ge-ophys. Res., 2007, 112(D9), 1β10.
- Sahu, L. K., Sheel, V., Pandey, K., Yadav, R., Saxena, P. and Gunthe, S., Regional biomass burning trends in India: Analysis of satellite fire data. J. Earth Syst. Sci., 2015, 124(7), 1377β1387.
- Ellicott, E., Vermote, E., Giglio, L. and Roberts, G., Estimating biomass consumed from fire using MODIS FRE. Geophys. Res. Lett., 2009, 36, L13401.
- Freeborn, P. H., Wooster, M. J., Roy, D. P. and Cochrane, M. A., Quantification of MODIS fire radiative power (FRP) measurement uncertainty for use in satellite-based active fire characterization and biomass burning estimation. Geophys. Res. Lett., 2014, 41, 1988β1994.
- Giglio, L., Schroeder, W., Hall, J. V. and Justice, C. O., Modis collection 6 active fire product userβs guide revision A, Depart-ment of Geographical Sciences, University of Maryland, 2015.