JDR Vol.14 No.1 pp. 151-159
doi: 10.20965/jdr.2019.p0151


Ground Observation of Tephra Particles: On the Use of Weather Radar for Estimating Volcanic Ash Distribution

Ratih Indri Hapsari*,†, Masahiro Iida**, Masahide Muranishi**, Mariko Ogawa**, Magfira Syarifuddin***, Masato Iguchi***, and Satoru Oishi**

*Department of Civil Engineering, State Polytechnic of Malang
Jl. Soekarno Hatta 9, Malang 65141, Indonesia

Corresponding author

**Kobe University, Hyogo, Japan

***Disaster Prevention Research Institute, Kyoto University, Kagoshima, Japan

September 3, 2018
January 9, 2019
February 1, 2019
tephra, video drop size detector, Gamma distribution, X-band radar

This paper reports a preliminary attempt to determine volcanic ash particle size distribution using the video drop size detector (VDSD) for estimating volcanic ash amount with X-band radar. The VDSD records an image showing the size and number of particles falling into the aperture by a charge coupled device camera. Size distribution spectra of a range of particles from fine ash to small lapilli were derived in discrete form from the VDSD observation. The parameterization of the particle size distribution following Gamma function was done using volcanic ash of eruptions at the Sakurajima Volcano between December 13–21, 2014. Three Gamma distribution parameters were determined analytically. The analytical results revealed a continuous distribution of particles characterized by shape, intercept, and slope. The distribution was used to determine volcanic mass concentration, ground deposit weight, and reflectivity. Verification of these results with X-band radar observations showed that the reflectivity obtained from analytical results is similar to that from radar observation. However, the ground deposit weight from analysis was overestimated, compared with the real weight of ash deposit on the ground. The algorithm proposed in this study is expected to provide a practical method for estimating ash distribution in the aftermath of a volcanic eruption using radar-reflectivity for cases where direct measurement at the location is not possible. An overview of the algorithm for volcanic ash retrieval from X-band radar observations is also presented.

Cite this article as:
R. Hapsari, M. Iida, M. Muranishi, M. Ogawa, M. Syarifuddin, M. Iguchi, and S. Oishi, “Ground Observation of Tephra Particles: On the Use of Weather Radar for Estimating Volcanic Ash Distribution,” J. Disaster Res., Vol.14, No.1, pp. 151-159, 2019.
Data files:
  1. [1] T. Mizuyama, “Structural Countermeasures for Debris Flow Disasters,” Int. J. of Erosion Control Engineering, Vol.1, No.2, pp. 38-43, 2008.
  2. [2] I. Andjelkovic, “Guidelines on Non-structural Measures in Urban Flood Management Technical Documents in Hydrology, UNESCO Report No.50, Paris, 2001.
  3. [3] C. Bonadonna and A. Costa, “Estimating the Volume of Tephra Deposits: A New Simple Strategy Article,” Geology, Vol.40, No.5, pp. 415-418, 2012.
  4. [4] L. J. Connor and C. B. Connor, “Inversion is the key to dispersion: understanding eruption dynamics by inverting tephra fallout.” H. M. Mader, S. G. Coles, C. B. Connor, and L. J. Connor (eds.), Statistics in volcanology, The Geological Society, London, pp. 231-242, 2006.
  5. [5] P. C. Shakti, R. Misumi, T. Nakatani, K. Iwanami, M. Maki, T. Maesaka, and K. Hirano, “Accuracy of Quantitative Precipitation Estimation Using Operational Weather Radars: A Case Study of Heavy Rainfall on 9–10 September 2015 in the East Kanto Region, Japan,” J. Disaster Res., Vol.11, No.5, pp. 1003-1016, 2016.
  6. [6] C. Lacasse, S. Karlsdóttir, G. Larsen, H. Soosalu, W. I. Rose, and G. G. J. Ernst, “Weather radar observations of the Hekla 2000 eruption cloud, Iceland,” Bulletin of Volcanology, Vol.66, Issue 5, pp. 457-473, 2004.
  7. [7] M. Maki, M. Iguchi, T. Maesaka, T. Miwa, T. Tanada, T. Kozono, T. Momotani, A. Yamaji, and I. Kakimoto, “Preliminary Results of Weather Radar Observations of Sakurajima Volcanic Smoke,” J. Disaster Res., Vol.11, No.1, pp. 15-30, 2016.
  8. [8] F. S Marzano, G. Vulpiani, and W. I. Rose, “Microphysical Characterization of Microwave Radar Reflectivity Due to Volcanic Ash Clouds,” IEEE Trans. Geosci. Remote Sen., Vol.44, Issue 2, pp. 313-327, 2006.
  9. [9] F. S. Marzano and G. Vulpiani, “Volcanic Ash Cloud Retrieval by Ground-based Microwave Weather Radar,” IEEE Trans. Geosci. Remote Sen., Vol.44, Issue 1, pp. 3235-3246, 2006.
  10. [10] D. M. Harris and W. I. Rose, “Estimating Particle Sizes, Concentrations, and Total Mass of Ash in Volcanic Clouds using Weather Radar,” J. of Geophysical Research Oceans, Vol.88, No.C15, pp. 10969-10983, 1983.
  11. [11] S. Scollo, M. Coltelli, F. Prodi, M. Folegani, and S. Natal, “Terminal Settling Velocity Measurements of Volcanic Ash during the 2002–2003 Etna Eruption by an X-band Microwave Rain Gauge Disdrometer.” Geophysical Research Letters, Vol.32, Issue 10, pp. 1-5, 2005.
  12. [12] T. Takahashi, “Precipitation Mechanisms in East Asian Monsoon: Videosonde Study,” J. of Geophysical Research Atmospheres, Vol.111, No.D9, 2006.
  13. [13] M. Murakami and T. Matsuo, “Development of the Hydrometeor Videosonde,” J. Atmos. Ocean. Tech., Vol.7, pp. 613-620, 1990.
  14. [14] K. Suzuki, K. Shimizu, T. Ohigashi, K. Tsuboki, S. Oishi, S. Kawamura, K. Nakagawa, K. Yamaguchi, and E. Nakakita, “Development of a New Videosonde Observation System for In-situ Precipitation Particle Measurements,” Scientific Online Letters on the Atmosphere, Vol.8, pp. 1-4, 2012.
  15. [15] D. Atlas and C. W. Ulbrich, “Path- and Area-Integrated Rainfall Measurements by Microwave Attenuation in 1-3 cm Band,” J. Appl. Meteor., Vol.16, No.1, pp. 1322-1331, 1977
  16. [16] D. Leonid, “Radiative Properties of Single Particles and Fibers: The Hypothesis of Independent Scattering and the Mie Theory,” Thermopedia, Vol.000136, 2010.
  17. [17] C. W. Ulbrich, “Natural Variations in the Analytical Form of the Raindrop Size Distribution.” J. of Applied Meteorology and Climatology, Vol.22, No.10, pp. 1764-1775, 1983.
  18. [18] M. Ogawa, S. Oishi, K. Yamaguchi, and E. Nakakita, “Quantitative Parametric Approach to Estimating Snowflake Size Distributions Using an Optical Sensing Disdrometer,” Scientific Online Letters on the Atmosphere, Vol.11, pp. 134-137, 2015.
  19. [19] R. J. Doviak and D. S. Zrnic, “Doppler Radar and Weather Observations,” Dover Publications, Inc., New York, 2006.
  20. [20] V. N. Bringi and V. Chandrasekar, “Polarimetric Doppler Weaher Radar,” Cambridge University Press, Cambridge, 2001.
  21. [21] H. L. Tanaka, M. Iguchi, and S. Nakada, “Numerical Simulations of Volcanic Ash Plume Dispersal from Kelud Volcano in Indonesia,” J. Disaster Res., Vol.11, No.1, pp. 31-42, 2014.
  22. [22] A. Dingwell, “Dispersion Modeling of Volcanic Emissions,” Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology Uppsala University, 2016.
  23. [23] A. P. Poulidis, J. C. Phillips, I. A. Renfrew, J. Barclay, A. Hogg, S. F. Jenkins, R. Robertson, and D. M. Pyle, “Meteorological Controls on Local and Regional Volcanic Ash Dispersal,” Nature – Scientific Reports, Vol.8, No.1, p. 6873, 2018.
  24. [24] M. Maki, T. D. Keenan, Y. Sasaki, and K. Nakamura, “Characteristics of the Raindrop Size Distribution in Tropical Continental Squall Lines Observed in Darwin, Australia,” J. of Applied Meteorology, Vol.40, pp. 1393-1412, 2001.
  25. [25] G. Zhang, J. Sun, E. A. Brandes, J. Dudhia, and W. Wang, “Disdrometer and Radar Observation-Based Microphysical Parameterization to Improve Weather Forecast 2005,” Proc. of 11th Conf. on Mesoscale Processes, pp. 1-5, 2005.

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Last updated on Feb. 21, 2019