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
Murty, A. S. N.
- Taungya Cultivation and its Extension to Plantation Work
Authors
Source
Indian Forester, Vol 72, No 8 (1946), Pagination: 358-358Abstract
No abstract- Improvement Fellings
Authors
Source
Indian Forester, Vol 74, No 12 (1948), Pagination: 408-408Abstract
No abstract- WAM Validation Studies in the North Indian Ocean using NCMRWF Analyzed Wind Fields
Authors
1 Naval Physical and Oceanographic Laboratory (NPOL), Thrikkakara, Cochin-682 021, IN
2 DHI-NTU Research Centre, DHI Water and Environment, 200, Pandan Loop, Pantech-21, Singapore-128388, SG
3 Centre for Advanced Training in Earth System Sciences and Climate (CAT-ESSC), Indian Institute of Tropical Meteorology, Pune-411008, IN
4 Department of Marine Science, Berhampur University, Berhampur-7, IN
5 Department of Physical Oceanography, Cochin University of Science & Technology (CUSAT), Kochi-682 016, IN
Source
International Journal of Oceans and Oceanography, Vol 7, No 1 (2013), Pagination: 9-31Abstract
With the launch of Oceansat-I (IRS-P4), it became a reality to carry out validations of third generation wave model 3g-WAM in the North Indian Ocean region using the IRS-P4 analyzed wind fields provided by the National Centre for Medium Range Weather Forecasting (NCMRWF), New Delhi, India. However, the model predicted wave fields were to be still analyzed and further validated using all available field measurements which was the primary task before the scientific community. This study, describes the wave model validation studies carried out at Naval Physical and Oceanographic Laboratory (NPOL), Cochin, India through a collaborative research programme between NPOL and Space Application Centre (SAC), as part of the IRS-P4, MSMR Utilization Programme. Under this collaborative programme, 3g-WAM wave hindcasts were carried out for the Indian Ocean from 30°E to 120°E and 30°S to 30°N using the analyzed winds of NCMRWF and appropriate open sea boundary inputs. WAM was executed using six hourly input fields over 1.5°x1.5° grid resolution. The outputs of the model such as wave height, peak wave period, mean wave period and mean wave directions were compared with the time-series buoy measurements of National Institute of Ocean Technology (NIOT), Chennai, India and other available measurements. Comparisons between the predicted and observed wave parameters were very encouraging. However, the model predictions of significant wave height were overestimated during the extreme wind and wave conditions. By and large, the WAM predictions were quite reliable for the south-west monsoon (May-September) periods in spite of the limitations. These validation studies have revealed that, the performance of WAM was satisfactory and the hindcast wave fields of WAM for the North Indian Ocean can be utilized for various user applications in the deep waters over 30 meters.Keywords
OCEANSAT I, WAM, IRS-P4 Analyzed Winds, Wave Model Validation.References
- Goswami, B. N., and Rajagopal, E. N., 2003, “Indian Ocean surface winds from NCMRWF analysis as compared to QuikSCAT and moored buoy winds,” In Proc. of Indian Academy of Sciences (Earth Planetary Sciences), 112, pp. 61-77.
- Panigrahi, J. K., Tripathy, J. K., and Umesh, P. A., 2008, “Optimum tracking of ship routes in 3g-WAM simulated rough weather using IRSP4 (MSMR) analysed wind fields,” J. Indian Soc. Rem. Sen., 36, pp. 149-158.
- Panigrahi, J. K., and Umesh, P. A., 2008, “Minimal Time Ship Routing Using IRS-P4 (MSMR) Analyzed Wind Fields,” Marine Geodesy, 31, pp. 39-48.
- Panigrahi, J. K., Misra, S. K., and Umesh, P. A., 2010, “Application of OCEANSAT-I, MSMR Analysed winds to Marine Navigation,” Int. J. Rem. Sen., 31, pp. 2623-2637.
- Panigrahi, J. K., and Swain, J., 2010, “Numerical simulation and validation of deepwater spectral wind-waves,” Mar. Geo., 33, pp. 39-52.
- Panigrahi, J. K., et al., 2012, “Optimal ship tracking on a navigation route between two ports: A hydrodynamics approach,” J. Mar. Sci. Tech., 17, pp.59-67.
- Swain, J., Umesh, P. A., and Harikrishnan, M., 2010, “Role of Oceanography in Naval Defense,” Ind. J. of Geo-Mar. Sci., 39, pp. 631-645.
- Hasselmann, S., et al., 1988, “The WAM-Development and Implementation Group (WAMDI). The WAM Model - A third generation ocean wave prediction model,” J. Phy. Oceanogr., 18, pp. 1775-1810.
- Panigrahi, J. K., 2007, “Wind induced surface gravity waves in the North Indian Ocean and their potential applications,” Ph.D. Thesis, Berhampur University, Berhampur, India.
- Vihang, Bhatt., et. al., 2004, “Impact of Oceansat-I MSMR data on analyzed oceanic winds and wave predictions,” Ocean Eng., 31, pp. 2283–2294.
- Raj, Kumar., et al., 2009, “Improvement in predictability of waves over the Indian Ocean,” Nat. Haz., 49, pp. 275-291.
- Prasad, Kumar, B., et al., 2004, “Sea State Hindcast with ECMWF Data Using a Spectral Wave Model for Typical Monsoon Months,” Nat. Haz., 31, pp. 537–548.
- Komen, G. J., et al., 1994, Dynamics and Modelling of Ocean Waves, Cambridge, UK: Cambridge University Press.
- The Wise Group – Cavaleri, L. et. al., 2007, “Wave modelling – the state of the art,” Prog. Oceanogr., 75, pp. 603-674.
- Swain, J., et. al., 2003b, “Wave hindcast for the Indian Ocean region covering the period of ARMEX-I (June-August 2002),” ARMEXWorkshop on data analysis and initial scientific results, NIOT, Chennai, INDIA.
- Hastenrath, S., and Lamb, P. J., 1979, Climatic atlas of the Indian Ocean, Part-I, Surface Climate and atmospheric circulation, The University of Wisconsin Press, USA.
- Young, I. R., and Holland, G. J., 1996, Atlas of the Oceans: Wind and Wave Climate, Pergamon, Elsevier Science, USA.
- Panigrahi, J. K., et al., 2001, “Analysis of 3g-WAM simulations for the India Ocean using IRS-P4 analysed wind fields during July-August 1999,” In Proc. of the Indian Soc. for Remote Sensing, SAC, Ahmedabad, INDIA.
- Swain, J., Panigrahi, J. K., and Prasada, Rao, C. V. K., 2001, “Validation of 3g-WAM hindcast wave fields using IRS-P4 data,” In Proc. of the International Conference in Ocean Engineering, IITM, Chennai, India, pp. 115-123.
- Swain, J., et al., 2002, “Comparison of 3g-WAM predictions with timeseries measurements at two selected locations in the Indian Seas,” In Proc. of the International Conference on Sonar-Sensors and Systems, 2, pp. 509-515.
- Swain, J., et al., 2003a, “Performance of 3g-WAM using IRS-P4 winds for its operational implementation in the Indian Ocean,” In Proc. of the Symposium on Microwave Remote Sensing Applications, 21-23 January 2003, IITB, Mumbai, India (Mumbai, India: CSRE).
- Swain, J., et. al., 2000, “Observed wind and wave characteristics in the South Central Bay of Bengal during BOBMEX-99,” In Proc. TROPMET 2000: Ocean and Atmosphere, pp. 406-409.
- The BOBMEX Team., 2000, “Oceanographic features in the central Bay of Bengal during “BOBMEX-99,” Departmental Research Report, NPOL/RR-11/20, Naval Physical and Oceanographic Laboratory, Cochin.
- Nagaur-Jhalawar Geotransect Across the Delhi/Aravalli Fold Belt in Northwest India
Authors
1 National Geophysical Research Institute, Hyderabad-500007, IN
2 National Geophysical Research Institute, Hyderabad-500007
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 52, No 2 (1998), Pagination: 153-161Abstract
Lithological, gravity, magnetic, and seismic data within 100 Km corridor of the 400 km long seismic reflection profile are compiled to constitute the NW-SE Nagaur-Jhalawar Geotransect. The transect sequentially cuts across the Neo-Proterozoic Marwar Basin (MB) on the northwest, the Palaeo/Mesoproterozoic Delhi Fold Belt (DFB), the middle/late Archaean Bhilwara Gneissic Complex (BGC) and the MesolNeoproterozoic to early Palaeozoic Vindhyan Basin (VB) at the southeast. The BGC and DFB belts show polyphase deformation and metamorphism.
The BGC within the transect, consists of Sandmata Granulite Complex, followed by amphibolite facies Mangalwar Complex and Greenschist facies Hindoli/Sawar groups. The BGC show evidence of crustal reworking at c.3.0 Ga. The DFB is represented by amphibolite facies metavolcanic-metasedimentary shallow marine sequences and is tectonically highly disturbed. The DFB deposits (c. 2.0 - 1.5 Ga.) were subjected to tectonic deformation during Delhi orogeny (c. 1.5 Ga.), which is marked by syntectonic granitic plutonism. Both, the BGC and OFB also appear to have been affected by Neoproterozoic thermal events and granitic plutonism. The Neoproterozoic MB consists of clayevaporite sequences of shallow oscillatory basin deposits.
Seismic, gravitylmagnetic and magneto-telluric techniques could delineate a number of shallow to deep faults, intrusive bodies and a high conductivity zone. The total magnetic intensity shows a regional increase towards southeast. The Bouguer anomaly values show a steep rise of upto 80 mGal towards the boundary of OFB and BGC. Based on the seismic studies, doubling of the crust under the OFB and vertical intrusion of high density material under the BGC are inferred. The upper crust is, in general, transparent in its reflectivity while the lower crustal reflectivity is high in the transect area, except in the BGC and the VB. A thrust boundary, dipping NW, is present at the eastern margin of the BGC and could be traced up to 30 km depth. The Moho is at a depth of 36-38 km under the MB. Multiple Moho reflections are identified in the DFB crust, the deepest being at 45-50 km depth. In some part of the BGC the Moho can not be identified but in parts it is traced at about 50 km depth, with southeast up dip, before becoming subhorizontal at depth of 41-42 km. It becomes shallower to about 30 km depth at the SE end under the VB.
Keywords
Delhil Aravalli Fold Belt, Geotransect, Northwest India.- Delineation of Trap and Subtrappean Mesozoic Sediments in Saurashtra Peninsula, India
Authors
1 No. 19-104/4, Kalyanapuri, Uppal, Hyderabad 500 039, IN
2 CSIR-National Geophysical Research Institute, Uppal Road, Hyderabad 500 007, IN
Source
Current Science, Vol 110, No 9 (2016), Pagination: 1844-1851Abstract
Mapping of sediments beneath volcanic Traps is a highly challenging task. Here we report on the analysis of wide-angle seismic data from Trap-covered Saurashtra peninsula to address this problem. Traveltime modelling of mainly seismic refraction and some reflection phases yields basement configuration, trap and subtrappean sediment thicknesses along the Jodia-Ansador (NW-SE) profile in Saurashtra peninsula. Travel-time skip and amplitude decay in seismic refraction data indicate the presence of low-velocity sediments beneath the Traps. The result reveals two layers with Deccan Traps (4.85-5.0 km s-1) followed by Mesozoic sediments above the basement (5.8-6.1 km s-1). Using the lower bound velocity (3.2 km s-1), sediment thickness varies between 800 and 1500 m. Based on upper bound velocity (4.3 km s-1), we find both the sediment thickness and basement depth increase by 600-700 m. The thickness of sediments is more in the northwest and decreases gradually in the southeast, suggesting that the northwestern part of the profile is an important zone for hydrocarbon exploration in the Saurashtra peninsula. With the lower bound velocity of Mesozoics, we find that the basement (5.8-6.1 km s-1) is deep (~2100 m) in the northwest and shallows up near Atkot to ~1.0 km depth, and then deepens further southeast, showing the basement upwarped. The overall velocity and boundary uncertainties are of the order of ±0.15 km s-1 and ± 0.15 km respectively.Keywords
Seismic Refraction, Sediment Thickness, Travel-Time Inversion, Volcanic Traps.References
- Bois, C., Bouche, P. and Pelet, R., Global geological history and distribution of hydrocarbon reserves. AAPG Bull., 1982, 66, 1248–1270.
- Mayor, S., Sawkar, S. S., Gangaram, Das, A. K. and Painuly, S. P., An integrated approach to the Mesozoic exploration in Rajpardi area, South Cambay basin, Gujarat, India. In 4th International Conference and Exposition on Petroleum Geophysics, Society of Petroleum Geophysicists, Mumbai, 2002.
- Roy, T. K., Structural styles in southern Cambay basin, India and role of Narmada geofracture in formation of giant hydrocarbon accumulation. Bull. ONGC, 1991, 27, 15–56.
- Prasad, B. N., Khan, S. and Giridhar Lal., Hydrocarbon prospects of Kutch basin onland, India. J. Assoc. Explor. Geophys., 1994, 15(4), 161–169.
- Singh, D., Alat, C. A., Singh, R. N. and Gupta, V. P., Source rock characteristics and hydrocarbon generating potential of Mesozoic sediments in Lodhika area, Saurashtra basin, Gujarat, India. In Proceedings Second International Petroleum Conference and Exhibition PETROTECH-97, New Delhi, 1997, pp. 205–220.
- NGRI, Integrated geophysical studies for hydrocarbon exploration in Saurashtra, India. NGRI Technical Report No. NGRI-1998Exp-237, 1998.
- Sain, K., Zelt, C. A. and Reddy, P. R., Imaging subvolcanic Mesozoics using travel time inversion of wide-angle seismic data in the Saurashtra peninsula of India. Geophys. J. Int., 2002, 150, 820–826.
- Prasad, A. S. S. S. R. S., Sain, K. and Sen, M. K., Imaging sub basalt Mesozoics along Jakhau–Mandvi and Mandvi–Mundra profiles in Kutch sedimentary basin from seismic and gravity modelling. Geohorizons, 2013, 18(2), 51–56.
- Dowle, R., Mandroux, F., Soubaras, R. and Williams, G., Uses of wide azimuth and variable-depth streamers for sub-basalt seismic imaging. First Break, 2011, 29(12).
- Jarchow, C. M., Catchings, R. D. and Lutter, W. J., Large explosive source, wide-recording aperture, seismic profiling on the Columbia Plateau, Washington. Geophysics, 1995, 59, 259–271.
- Fruehn, J., Fliendner, M. M. and White, R. S., Integrated wideangle and near-vertical sub salt study using large-aperture seismic data from the Faeroe–Shetland region. Geophysics, 2001, 66(5), 1340–1348.
- Tewari, H. C., Dixit, M. M. and Murty, P. R. K., Use of travel time skips in refraction analysis to delineate velocity inversion. Geophys. Prospect., 1995, 43, 793–804.
- Sain, K. and Kaila, K. L., Ambiguity in the solution of the velocity inversion problem and a solution by joint inversion of seismic refraction and wide-angle reflection times. Geophys. J. Int., 1996, 124, 215–227.
- Murty, A. S. N., Prasad, B. R., Koteswara Rao, P., Raju, S. and Sateesh, T., Delineation of Subtrappean Mesozoic sediments in Deccan Syneclise, India, using travel time inversion of seismic refraction and wide-angle reflection data. PAGEOPH, 2010, 167, 233–251.
- Murty, A. S. N., Dixit, M. M., Mandal, B., Raju, S., Sanjaykumar, Karupanan, P., Anitha, K. and Sarkar, D., Extension of Godavari Gondwana sediments underneath Trap covered region of Satpura basin as evidenced from seismic studies in Deccan syneclise, India. J. Asian Earth Sci., 2011, 42(6), 1232–1242.
- Murty, A. S. N., Koteswara Rao, P., Dixit, M. M., Kesava Rao, G., Reddy, M. S., Prasad, B. R. and Sarkar, D., Basement configuration of the Jhagadia–Rajpipla profile in the western part of Deccan syneclise, India from travel-time inversion of seismic refraction and wide-angle reflection data. J. Asian Earth Sci., 2011, 40, 40–51.
- Sain, K., Reddy, P. R. and Behera, L., Imaging of low-velocity Gondwana sediments in the Mahanadi delta of India using travel time inversion of first arrival seismic data. J. Appl. Geophys., 2002, 49, 163–171.
- Sain, K. and Kaila, K. L., Interpretation of first arrival times in seismic refraction work. Pure Appl. Geophys., 1996, 147, 181–194.
- Zelt, C. A. and Smith, R. B., Seismic travel time inversion for 2-D crustal velocity structure. Geophys. J. Int., 1992, 108, 16–34.
- Kaila, K. L., Tewari, H. C. and Sarma, P. L. N., Crustal structure from deep seismic studies along Navibandar–Amreli profile in Saurashtra. Indian Mem. Geol. Soc. India, 1980, 3, 218–232.
- Greenhalgh, S. A., Comments on ‘The hidden layer problem in seismic refraction work’. Geophys. Prospect., 1977, 25, 179–181.
- Dixit, M. M., Satyavani, N., Sarkar, D., Khare, P. and Reddy, P. R., Velocity inversion in the Lodhika area, Saurashtra peninsuls, Western India. First Break, 2000, 18, 12.
- Murty, A. S. N., Sain, K. and Rajendra Prasad, B., Velocity structure of the West-Bengal sedimentary basin, India along the Palashi– Kandi profile using travel time inversion of wide-angle seismic data and gravity modelling-an update. PAGEOPH, 2008, 165, 1733–1750.
- Zelt, C. A., Modeling strategies and model assessment for wideangle seismic travel time data. Geophys. J. Int., 1999, 139, 183–204.