Advertisement

Natural Hazards

, Volume 93, Issue 1, pp 413–451 | Cite as

Remote sensing and in situ platform based study on impact of Bay of Bengal cyclones (Phailin, Helen, Lehar, and Madi) on ocean chlorophyll and associated physical parameters

  • R. K. Sarangi
  • S. K. Shrinidhi
  • Prakash Chauhan
  • B. R. Raghavan
Original Paper
  • 342 Downloads

Abstract

Impact of four major cyclones: Phailin, Helen, Lehar, and Madi have been studied in terms of changes in ocean productivity utilizing Indian satellite Oceansat-2 ocean color monitor and MODIS-Aqua data during October–December 2013. The 8-day and monthly composite chlorophyll images have been generated owing to the pre-, during, and post-stages of four cyclones; out of which, three were very severe cyclonic storms and the Helen was severe cyclonic storm. The chlorophyll concentration increased two- to threefolds due to the aftereffect of cyclone in the coastal water, and the concentration was very high (around 2–3 mg/m3). To understand the possible links of cyclones to cooling and upwelling, MODIS-Aqua sea surface temperature (SST) images have been processed. The SST images have shown the cooling effect near the cyclone track pass, over Bay of Bengal. The cooling was observed by 2–3 degree Celsius during the above cyclones. To understand the in situ surface water and water column salinity and temperature variability, the Argo float data are plotted and interpreted. The surface contour shows the lowering of salinity and temperature with effects of cyclones. In addition, the Argo depth profile data have shown possible mixed layer deepening in few profiles around halocline and thermocline depths. This study will be useful for mapping potential fishing zone, ocean biogeochemistry and other useful applications and research.

Keywords

Cyclones impact Chlorophyll Ocean productivity SST Bay of Bengal 

Notes

Acknowledgements

We are thankful to Dr. J. S. Parihar, former Deputy Director, EPSA and Director, Space Applications Centre, Ahmedabad, for necessary guidance and facilities for carrying out this work.

References

  1. Babin SM, Carton JA, Dickey TD, Wiggert JD (2004) Satellite evidence of hurricane-induced phytoplankton blooms in an oceanic desert. J Geophys Res 109:C03043.  https://doi.org/10.1029/2003JC001938 CrossRefGoogle Scholar
  2. Banse K, English DC (2000) Geographical differences in seasonality of CZCS-derived phytoplankton pigment in the Arabian Sea for 1978-1986. Deep Sea Res 47:1623–1677CrossRefGoogle Scholar
  3. Chauhan P, Nagamani PV (2007) Algorithm Theoretical Basis Document (ATBD) for geophysical parameter retrieval using OCEANSAT-II OCM, Oceansat-II-UP-3/SAC-2007Google Scholar
  4. Chauhan P, Mohan M, Sarangi RK, Kumari B, Nayak SR, Matondkar SGP (2002) Surface chlorophyll-a estimation in the Arabian Sea using IRS-P4 Ocean Colour Monitor (OCM) satellite data. Int J Remote Sens 23(8):1663–1676CrossRefGoogle Scholar
  5. Gordon HR, Wang M (1994) Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. Appl Opt 33:443–452CrossRefGoogle Scholar
  6. Kumar SP, Byju P (2011) Physical and biological response of the Arabian Sea to tropical cyclone Phyan and its implications. Mar Environ Res 71(5):325–330CrossRefGoogle Scholar
  7. Kumar SP, Muraleedharan PM, Prasad TG, Gaun M, Ramaiah N, De Souza SN, Sardesai S, Madhupratap M (2002) Why is the Bay of Bengal less productive during summer monsoon compared to the Arabian Sea? Geophys Res Lett 29(24):2235.  https://doi.org/10.1029/2002GL016013 Google Scholar
  8. Madhu NV, Maheswaran PA, Jyotibabu R, Sunil V, Ravichandran C, Balasubramaniam T, Gopalakrsishnaan TC, Nair KKC (2002) Enhanced biological production off Chennai triggered by October 1999 super cyclone (Orissa). Curr Sci 82(12):1472–1479Google Scholar
  9. Madhupratap M, Gauns M, Ramaiah N, Kumar SP, Muraleedharan PM, De Souza SN, Sardesai S, Muraleedharan U (2003) Biogeochemistry of the Bay of Bengal: physical, chemical and primary productivity characteristics of the central and western Bay of Bengal during summer monsoon 2001. Deep Sea Res 50:881–896CrossRefGoogle Scholar
  10. Morel A, Maritorena S (2001) Bio-optical properties of oceanic waters: a reappraisal. J Geophys Res 106:7163–7180CrossRefGoogle Scholar
  11. Muller-Karger FE, Smith JP, Werner S, Chen R, Roffer M, Liu Y, Muhling B, Atichati DL, Lamkin J, Estrada SC, Enfield DB (2015) Natural variability of surface oceanographic conditions in the offshore, Gulf of Mexico. Prog Oceanogr 134:54–76.  https://doi.org/10.1016/j.pocean.2014.12.007 CrossRefGoogle Scholar
  12. Naik H, Naqvi SWA, Suresh T, Narvekar PV (2008) Impact of tropical cyclone on biogeochemistry of the central Arabian Sea. Glob Biogeochem Cycles 22:GB3020.  https://doi.org/10.1029/2007GB003028 CrossRefGoogle Scholar
  13. Nayak SR, Sarangi RK, Rajawat AS (2001) Application of IRS-P4 OCM data to study the impact of cyclone on coastal environment of Orissa. Curr Sci 80(9):1208–1213Google Scholar
  14. O’Reilly JE, Maritorena S, Mitchell BG, Siegel DA, Carder KL, Garver SA, Kahru M, McClain CR (1998) Ocean color chlorophyll algorithms for SeaWiFS. J Geophys Res 103:24937–24953CrossRefGoogle Scholar
  15. Piontlovsky SA, Nezlin NP, Al-Azri A, Al-Hashmi K (2012) Mesoscale eddies and variability of chlorophyll-a in the Sea of Oman. Int J Rem Sens 33(17):5341–5346CrossRefGoogle Scholar
  16. Platt T, Sathyendranath S (1988) Oceanic primary production: estimation by remote sensing at local and regional scales. Science 241:1613–1620CrossRefGoogle Scholar
  17. Rao KH, Smitha A, Ali MM (2006) A study on cyclone induced productivity in south- western Bay of Bengal during November–December 2000 using MODIS (SST and chlorophyll-a) and altimeter sea surface height observations. Ind J Geo-Mar Sci 35(2):153–160Google Scholar
  18. Sadhuram Y (2004) Record decrease of sea surface temperature following the passage of a super cyclone over the Bay of Bengal. Curr Sci 86:383–384Google Scholar
  19. Sarangi RK (2011) Impact of cyclones on the Bay of Bengal chlorophyll variability using remote sensing satellites. Ind J Geo-Mar Sci 40(4):794–801Google Scholar
  20. Sarangi RK, Nayak SR, Panigrahy RC (2008) Monthly variability of chlorophyll and associated physical parameters in the southwest Bay of Bengal water using remote sensing data. Ind J Geo-Mar Sci 37(3):256–266Google Scholar
  21. Sarangi RK, Mishra M, Chauhan P (2015) Remote sensing observations on impact of phailin cyclone on phytoplankton distribution in northern bay of bengal. IEEE J Select Top Appl Earth Obs and Rem Sens (JSTARS) 8(2):539–549CrossRefGoogle Scholar
  22. Shanthi R, Poornima D, Raja S, Vijayabaskara SG, Thangaradjou T, Babu KN, Shukla AK (2013) Validation of OCM-2 sensor performance in retrieving chlorophyll and total suspended matter (TSM) along the southwest Bay of Bengal coast. J Earth Syst Sci 122(2):479–489CrossRefGoogle Scholar
  23. Shrinidhi S (2014) Studies on the impact of Bay of Bengal cyclones (Phailin, Helen, Lehar and Madi) on ocean chlorophyll and associated physical parameters. Master’s Dissertation, Mangalore UniversityGoogle Scholar
  24. Solanki HU, Dwivedi RM, Nayak SR, Jadeja JV, Thankar DB, Dave HB, Patel MI (2001) Application of Ocean Colour Monitor chlorophyll and AVHRR SST for fishery forecast: preliminary validation results off Gujarat coast, north-west coast of India. Ind J Geo-Mar Sci 30:132–138Google Scholar
  25. Srinivasa KT, Nayak SR, Mupparthy RS, Nagaraja KM (2009) Phytoplankton bloom due to Cyclone Sidr in the central Bay of Bengal. J Appl Remote Sens 3(1):033547CrossRefGoogle Scholar
  26. Subramanian V (1993) Sediment load of Indian Rivers. Curr Sci 64:928–930Google Scholar
  27. Subrahmanyam B, Rao KH, Rao NS, Murthy VSN (2002) Influence of a tropical cyclone on chlorophyll-a concentration in the Arabian Sea. Geophys Res Lett 29(22):1–22.  https://doi.org/10.1029/2002GL015892 CrossRefGoogle Scholar
  28. Tomczak M, Godfrey JS (1994) Regional Oceanography: An Introduction. Pergamon, LondonGoogle Scholar
  29. Tripathy M, Raman M, Dwivedi RM, Ajai (2012) Frequency of cyclonic disturbances and changing productivity patterns in the north indian ocean region: a study using sea surface temperature and ocean colour data. Int J Geosci 3(3):490CrossRefGoogle Scholar
  30. Vinayachandran PN, Mathew S (2003) Phytoplankton bloom in the Bay of Bengal during the northeast monsoon and its intensification by cyclones. Geophys Res Lett 30(11):1572.  https://doi.org/10.1029/2002GL016717 CrossRefGoogle Scholar
  31. Vinayachandran PN, Murty VSN, Ramesh Babu V (2002) Observations of barrier layer formation in the Bay of Bengal. J Geophys Res 107(C12):8018.  https://doi.org/10.1029/2001JC000831 CrossRefGoogle Scholar
  32. Werdell PJ, Bailey SW, Fargion G, Pietras C, Knobelspiesse K, Feldman G et al (2003) Unique data repository facilitates ocean color satellite validation. EOS Trans 84(38):377–392CrossRefGoogle Scholar
  33. Yoder JA (2000) An overview of temporal and spatial patterns in satellite-derived chlorophyll imagery and their relation to ocean processes. In: Halpern D (ed) Satellites, oceanography and society. Elsevier Science BV, Amsterdam, pp 225–228CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • R. K. Sarangi
    • 1
  • S. K. Shrinidhi
    • 2
  • Prakash Chauhan
    • 1
  • B. R. Raghavan
    • 2
  1. 1.Planetary Sciences and Marine Biology DivisionSpace Applications Centre (ISRO)AhmedabadIndia
  2. 2.School of Geo-informatics, Department of Marine GeologyMangalore UniversityMangaloreIndia

Personalised recommendations