Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 386
Articles | Volume 386
https://doi.org/10.5194/piahs-386-197-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-386-197-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 386
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

An approach to assess sediment disaster risk using soil moisture deficit: A case study about sediment disasters occurred during 2010–2011 in Niigata prefecture, Japan

Minjiao Lu, Takahiro Ogura, Thandar Tun Zin, Shigeaki Oka, Shun-ichi Onitsuka, Naoaki Kawamura, Takahiro Yamamoto, and Koichi Komiyama

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Hayashi, S. and Yamada, T.: Setting method of the factor and the scale of heavy rainfall caused sediment-related disasters, J. Japan Soc. Nat. Disaster Sci., 36, 307–320, https://doi.org/10.24762/jndsj.36.3_307, 2017. 
Ishihara, Y. and Kobatake, S.: Runoff model for flood forecasting, Bull. Disaster Prev. Res. Inst., 29, 27–43, 1979. 
Komatsu, T. S.: Toward a robust phenomenological expression of evaporation efficiency for unsaturated soil surfaces, J. Appl. Meteorol., 42, 1330–1334, https://doi.org/10.1175/1520-0450(2003)042<1330:TARPEO>2.0.CO;2, 2003. 
Kuraji, K. and Hoyano, H.: Green dams – forests, rivers, water cycle and disaster prevention, Tsukiji Shokan, Tokyo, 260 pp., ISBN: 978-4806713005, 2004. 
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Short summary
We attempted to evaluate the risk of a sediment disaster using the SMD, i.e., the surplus capacity of the soil column to accept rainwater. A numerical model was developed to calculate the SMD and then applied to 446 sediment disasters. The results showed that the SMD can be a good indicator of the risk of sediment disaster. Also a probability distribution model of the minimum SMD within the disaster occurrence period was constructed which allows early warning of the sediment disasters.
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