2014
DOI: 10.7780/kjrs.2014.30.2.12
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Predicting the extent of the volcanic ash dispersion using GOCI image and HYSPLIT model - A case study of the 17 Sep, 2013 eruption in SAKURAJIMA volcano -

Abstract: : Mt. SAKRAJIMA in southern Kagosima, japan is one of the most active volcanoes in the world. On 18 August 2013, the SAKRAJIMA volcano recently went into the largest scaled eruption with a huge plume of volcanic ash. Therefore, the concern arises if this considerable amount of ashes might flow into the Korea peninsula as well as Japan. In this paper, we performed numeric experiment to analyze how volcanic product resulted from the SAKRAJIMA volcano has impacted on Korea. In order to predict the spread pathway … Show more

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Cited by 4 publications
(2 citation statements)
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“…Ontake Eruption -7 79 - -7 80- 과 같이 계산하였다 (Lee et al, 2014). Vol.30, No.6, 2014 -7 82- Vol.30, No.6, 2014 -7 84- …”
Section: 프랑스의 톨루즈는 Model For Dispersion In the Atmosphereunclassified
“…Ontake Eruption -7 79 - -7 80- 과 같이 계산하였다 (Lee et al, 2014). Vol.30, No.6, 2014 -7 82- Vol.30, No.6, 2014 -7 84- …”
Section: 프랑스의 톨루즈는 Model For Dispersion In the Atmosphereunclassified
“…Volcanic ash dispersion modeling has been widely studied using various models, i.e. Lagrangian particle dispersion FLEXPART model (Stohl et al, 2011), Lagrangian stochastic NAME model (Devenish et al, 2012;Saxby et al, 2018), Eulerian FALL3D model (Folch et al, 2012), Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model (Crawford et al, 2016;Lee et al, 2014;Tadini et al, 2020), and Weather Research Forecast-Chemistry (WRF-Chem) model (Egan et al, 2020;Steensen et al, 2013;Stenchikov et al, 2017;Webley et al, 2012).…”
Section: Introductionmentioning
confidence: 99%