Open Access Open Access  Restricted Access Subscription Access

Modelling of volcanic ash with HYSPLIT and satellite observations: a case study of the 2018 Barren Island volcano eruption event, Andaman Territory, India


Affiliations
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
2 Department of Disaster Management, Pondicherry University, Port Blair 744 101, India
 

The present study aims to identify, characterize monitor and model the transport pathways of volcanic ashes and various features of the active phase of Barren Island volcano (BIV), Andaman and Nicobar Island, India during 2018 using the several Earth observation satellite technologies and field observations in the study area. Sentinel-2 satellite datasets have been used to identify volcanic eruption features such as lava flow, ash plume, cinder and vent and different directions of lava flow from the cinder cone during the 2018 eruptive phase of BIV. To visualize the major variations in thermal intensity and understand the behaviour of current volcanic activity, volcanic radiative power (VRP) and radiant fluxes of the recent eruptive phase were calculated using MIROVA. In addition, thermal anomaly was observed in the form of anomalous fire pixels for 44 days in FIRMS database. Also, NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS, VNP14IMGT) were used for validating the real-time activity of the 2018 volcanic eruption phase. The results obtained were closely related with the periods of high eruptions as observed in the Sentinel-2 datasets. The volcanic aerosol ‘sulphur dioxide’ (SO2) data (time series-area averaged) were analysed as well as a five-day forward trajectory and volcanic ash model for each eruption event was deve­loped using HYSPLIT model to identify the transport pathways and extent of volcanic ash cloud in the lower atmosphere during the eruptive phase of the volcano.

Keywords

Eruptive phase, field observations, satellite observations, volcanic ash.
User
Notifications
Font Size

  • Sheth, H. C., Ray, J. S., Kumar, A., Bhutani, R. and Awasthi, N., Toothpaste lava from the Barren Island volcano (Andaman Sea). J. Volcanol. Geotherm. Res., 2001, 202, 73–82.
  • Sheth, H., What drives centuries-long polygenetic scoria cone activity at Barren Island volcano? J. Volcanol. Geotherm. Res., 2014 289, 64–80; https://doi.org/10.1016/j.jvolcanol.2014.10 .019.
  • Furtney, M. A., Synthesizing multi-sensor, multi-satellite, multidecadal data sets for global volcano monitoring. J. Volcanol. Geotherm. Res., 2018 365, 38–56; https://doi.org/10.1016/j. jvolgeores.2018.10.002.
  • Campion, R., New lava lake at Nyamuragira volcano revealed by combined ASTER and OMI SO2 measurements. Geophys. Res. Lett., 2014, 41(21), 7485–7492; https://doi.org/10.1002/ 2014GL061808.
  • Ramsey, M. and Harris, A., Volcanology 2020: how will thermal remote sensing of volcanic surface activity evolve over the next decade? J. Volcanol. Geotherm. Res., 2013, 249, 217–233.
  • Harris, A. J. L., Thermal Remote Sensing of Active Volcanoes. A User’s Manual, Cambridge University Press, Cambridge, UK, 2013, p. 736.
  • Vinod Kumar, K., Martha, T. R. and Roy, P. S., Detection of volcanic eruption in Barren Island using IRS P6 AWiFS data. Curr. Sci., 2016, 91(6), 752–753.
  • Coppola, D., Thermal remote sensing for global volcano monitoring: experiences from the MIROVA system. Front. Earth Sci., 2020, 7, 362.
  • Coppola, D., Laiolo, M., Cigolini, C., Delle Donne, D. and Ripepe, M., Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system. Geol. Soc. London, Spec. Publ., 2016, 426(1), 181–205; https:/doi.org/10.1144/SP426.5.
  • Coppola, D., Laiolo, M., Lara, L. E., Cigolini, C. and OroZco, G., The 2008 ‘silent’ eruption of Nevados de chillan (Chile) detected from space: effusive rates and trends from the MIROVA system. J. Volcanol. Geotherm. Res., 2016, 327, 322–329; http://doi.org/ 10.1016/j.jvolgeo res.2016 .08.016.
  • Coppola, D. and Cigolini, C., Thermal regimes and effusive trends at Nyamuragira volcano (DRC) from MODIS infrared data. Bull. Volcanol., 2013, 75, 744; https://doi.org/10.1007/s00445-013-0744-z.
  • Pieri, D. and Abrams, M., ASTER observations of thermal anomalies preceding the April 2003 eruption of Chikurachki volcano, Kurile Islands, Russia. Remote Sensing Environ., 2005, 99(1–2), 84–94; doi.org/10.1016/j.rse.2005.06.012.
  • Blackett, M., Early analysis of landsat-8 thermal infrared sensor imagery of volcanic activity. Remote Sensing, 2014, 6, 2282–2295.
  • Wright, R., Flynn, L. P. and Harris, A. J., Evolution of lava flowfields at Mount Etna, 27–28 October 1999, observed by Landsat 7 ETM+. Bull. Volcanol., 2001 63(1), 1–7; doi.org/10.1007/ s004450100124.
  • Massimetti, F., Volcanic hot-spot detection using SENTINEL-2: a comparison with MODIS–MIROVA thermal data series. Remote Sensing, 2020, 12, 820.
  • Francesco, M., Genzano, N., Neri, M., Falconieri, A., Giuseppe, M. and Pergola, N., A multi-channel algorithm for mapping volcanic thermal anomalies by means of Sentinel-2 MSI and landsat-8 OLI data. Remote Sensing, 2019, 11, 2876; https://doi.org/10.3390/rs11232876.
  • Gunda, G. K. T., Champatiray, P. K., Mamta, C. and Prakash, C., Monitoring of volcanic eruption (Barren Island) using EO satellites. Curr. Sci., 2020, 118, 1874–1876.
  • Martha Tapas, R., Priyomvinod, K. and Kumranchat, Lava flows and cinder cones at Barren Island volcano, India (2005–2017): a spatio-temporal analysis using satellite images. Bull. Volcanol., 2018, 80, 15.
  • Bhattacharya, A., Reddy, C. S. S. and Srivastav, S K., Remote sensing for active volcano monitoring in Barren Island, India. Photogramm. Eng. Remote Sensing, 1993, 59(8), 1293–1297.
  • Mitchell, A. H. G., Collision-related fore-arc and back-arc evolution of the northern Sunda Arc. Tectonophysics, 1985, 116(3–4), 323–334.
  • Halder, D., Laskar, T., Bandopadhyay, P. C., Sarkar, N. K. and Biswas, J. K., Volcanic eruption of the Barren Island volcano, Andaman Sea. J. Geol. Soc. India, 1992, 39, 411–419.
  • Sachin, T. et al. Morphology of submarine volcanic seamounts from inner volcanic arc of Andaman Sea. Indian J. Geosci., 2018, 71(3), 451–470.
  • Bandopadhyay, P. C., Inner-arc volcanism: Barren and Narcondam Islands. Geol Soc., London, Memoirs, 2017, 47, 167–192.
  • Curray, J. R., The Sunda Arc: a model for oblique plate convergence. Netherl. J. Sea Res., 1989, 24(2–3), 131–140.
  • Curray, J. R., Moore, D. G., Lawver, L. A., Emmel, F. J., Raitt, R. W., Henry, M. and Kieckhefer, R., Tectonics of the Andaman Sea and Burma: convergent margins. Am. Assoc. Petrol. Geol. Mem., 1979, 29, 189–198.
  • Curray, J. R., Tectonics and history of Andaman Sea region. J. Asian Earth Sci., 2005, 25(1), 187–232.
  • Raju, K. A., Ramprasad, T., Rao, P. S. and Varghese, J., New insights into the tectonic evolution of the Andaman Basin, northeast Indian Ocean. Earth Planet. Sci. Lett., 2004, 221(1–4), 145–162.
  • Wright, R., Flynn, L., Garbeil, H., Harris, A. and Pilger, E., Automated volcanic eruption detection using MODIS. Remote Sensing Environ., 2002, 82(1), 135–155.
  • Rothery, D. A., Coppola, D. and Saunders, C., Analysis of volcanic activity patterns using MODIS thermal alerts. Bull. Volcanol., 2005, 67(6), 539–556; https://doi.org/10.1007/s00445-004-0393-3.
  • Wright, R., Flynn, L. P., Garbeil, H., Harris, A. J. L. and Pilger, E., MODVOLC: near-real-time thermal monitoring of global volcanism. J. Volcanol. Geotherm. Res., 2004, 135, 29–49; https://doi.org/10.1016/j.jvolgeores.2003.12.008.
  • Wooster, M. J., Zhukov, B. and Oertel, D., Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products. Remote Sensing Environ., 2003, 86, 83–107.
  • Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D. and Ngan, F., NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bull. Am. Meteorol. Soc., 2015, 96, 2059–2077; doi:10.1175/BAMS-D-14-00110.1.
  • Draxler, R. R. and Hess, G. D., An overview of the HYSPLIT_4 modeling system for trajectories, dispersion, and deposition. Aust. Meteorol. Mag., 1998, 47, 195–308.
  • Draxler, R. R. and Hess, G. D., Description of the HYSPLIT_4 modeling system. NOAA tech. memo. ERL ARL-224. Air Resources Laboratory, Silver Spring, MD, pp 24, NTIS. PB98-116593.
  • Dare, R. A., Sedimentation of volcanic ash in the HYSPLIT dispersion model, CAWCR Technical Report No. 079, The Centre for Australian Weather and Climate Research, Melbourne, Australia, 2015.
  • Stunder, B., Heffter, J. L. and Draxler, R. R., Airborne volcanic ash forecast area reliability. Weather Forecast., 2007, 22, 1132, doi:10.1175/WAF1042.1.
  • Rolph, G. D. and Draxler, R. R., Description and verification of the NOAA smoke forecasting system: the 2007 fire season. Weather Forecast., 2009, 24, 361–378.
  • Draxler, R. R. and Rolph, G. D., Evaluation of the transfer coefficient matrix (TCM) approach to model the atmospheric radionuclide air concentrations from Fukushima. J. Geophys. Res., 2012, 117, D05107; doi:10.1029/2011JD017205.
  • Hurst, T. and Davis, C., Forecasting volcanic ash deposition using HYSPLIT. J. Appl. Volcanol., 2017, 6(5); doi:10.1186/s13617-017-0056-7.
  • Crawford, A. M., Stunder, B. J. B., Ngan, F. and Pavolonis, M. J., Initializing HYSPLIT with satellite observations of volcanic ash: a case study of the 2008 Kasatochi eruption. J. Geophys. Res.: Atmos., 2016, 121, 10786–10803; doi:10.1002/2016JD024779.

Abstract Views: 333

PDF Views: 152




  • Modelling of volcanic ash with HYSPLIT and satellite observations: a case study of the 2018 Barren Island volcano eruption event, Andaman Territory, India

Abstract Views: 333  |  PDF Views: 152

Authors

Goutham Krishna Teja Gunda
Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
P. K. Champatiray
Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
Mamta Chauhan
Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
Prakash Chauhan
Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
Mijanur Ansary
Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
Arya Singh
Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
Yateesh Ketholia
Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, India
S. Balaji
Department of Disaster Management, Pondicherry University, Port Blair 744 101, India

Abstract


The present study aims to identify, characterize monitor and model the transport pathways of volcanic ashes and various features of the active phase of Barren Island volcano (BIV), Andaman and Nicobar Island, India during 2018 using the several Earth observation satellite technologies and field observations in the study area. Sentinel-2 satellite datasets have been used to identify volcanic eruption features such as lava flow, ash plume, cinder and vent and different directions of lava flow from the cinder cone during the 2018 eruptive phase of BIV. To visualize the major variations in thermal intensity and understand the behaviour of current volcanic activity, volcanic radiative power (VRP) and radiant fluxes of the recent eruptive phase were calculated using MIROVA. In addition, thermal anomaly was observed in the form of anomalous fire pixels for 44 days in FIRMS database. Also, NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS, VNP14IMGT) were used for validating the real-time activity of the 2018 volcanic eruption phase. The results obtained were closely related with the periods of high eruptions as observed in the Sentinel-2 datasets. The volcanic aerosol ‘sulphur dioxide’ (SO2) data (time series-area averaged) were analysed as well as a five-day forward trajectory and volcanic ash model for each eruption event was deve­loped using HYSPLIT model to identify the transport pathways and extent of volcanic ash cloud in the lower atmosphere during the eruptive phase of the volcano.

Keywords


Eruptive phase, field observations, satellite observations, volcanic ash.

References





DOI: https://doi.org/10.18520/cs%2Fv121%2Fi4%2F529-538