Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5309-2022
https://doi.org/10.5194/essd-14-5309-2022
Data description paper
 | 
02 Dec 2022
Data description paper |  | 02 Dec 2022

Long-term ash dispersal dataset of the Sakurajima Taisho eruption for ashfall disaster countermeasure

Haris Rahadianto, Hirokazu Tatano, Masato Iguchi, Hiroshi L. Tanaka, Tetsuya Takemi, and Sudip Roy

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We simulated the Taisho (1914) eruption of Sakurajima volcano under various weather conditions to show how a similar eruption would affect contemporary Japan in a worst-case scenario. We provide the dataset of projected airborne ash concentration and deposit over all of Japan to support risk assessment and planning for disaster management. Our work extends previous analyses of local risks to cover distal locations in Japan where a large population could be exposed to devastating impacts.
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