Estimating the Volcanic Ash Fall Rate from the Mount Sinabung Eruption on February 19, 2018 Using Weather Radar

被引:0
|
作者
Syarifuddin, Magfira [1 ]
Oishi, Satoru [2 ]
Hapsari, Ratih Indri [3 ]
Shiokawa, Jiro [4 ]
Mawandha, Hanggar Ganara [4 ]
Iguchi, Masato [1 ]
机构
[1] Kyoto Univ, DPRI, Sakurajima Volcano Res Ctr, 1722-19 Sakurajima Yokoyama, Kagoshima 8911419, Japan
[2] Kobe Univ, Res Ctr Urban Safety & Secur, Nada Ku, 1-1 Rokkodai, Kobe, Hyogo 6578501, Japan
[3] State Polytech Malang, Dept Civil Engn, Malang, Indonesia
[4] Kobe Univ, Grad Sch Engn, Nada Ku, 1-1 Rokko Dai, Kobe, Hyogo 6578501, Japan
基金
日本学术振兴会;
关键词
volcanic ash; X-MP radar; ash microphysical model; radar remote sensing; volcanic eruption; CLOUD; REFLECTIVITY; RETRIEVAL; SIZE; MASS;
D O I
10.20965/JDR.2019.P0135
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This paper presents a theoretical method for estimating volcanic ash fall rate from the eruption of Sinabung Volcano on February 19, 2018 using an X-band multi-parameter radar (X-MP radar). The X-MP radar was run in a sectoral range height indicator (SRHI) scan mode for 6 degrees angular range (azimuth of 221 degrees-2260.8) and at an elevation angle of 7 degrees to 40 degrees angular range. The distance of the radar is approximately 8 km in the Southeastern direction of the vent of Mount Sinabung. Based on a three-dimensional (3-D) image of the radar reflectivity factor, the ash column height was established to be more than 7.7 km, and in-depth information on detectable tephra could be obtained. This paper aims to present the microphysical parameters of volcanic ash measured by X-MP radar, which are the tephra concentration and the fall-out rate. These parameters were calculated in a two-step stepwise approach microphysical model using the scaled gamma distribution. The first step was ash classification based on a set of training data on synthetic ash and its estimated reflectivity factor. Using a naive Bayesian classification, the measured reflectivity factors from the eruption were classified into the classification model. The second step was estimating the volcanic ash concentration and the fall-out rate by power-law function. The model estimated a maximum of approximately 12.9 g.m(-3) of ash concentration from the coarse ash class (mean diameter D-n = 0.1 mm) and a minimum of approximately 0.8 megatons of volcanic ash mass accumulation from the eruption.
引用
收藏
页码:135 / 150
页数:16
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