TY - JOUR
T1 - A numerical study of single N-type tsunami drawdown processes at a geophysical scale
AU - Kim, Kyuri
AU - Kim, Dae Hong
AU - Jeong, Minyeob
N1 - Publisher Copyright:
© 2021
PY - 2021/8
Y1 - 2021/8
N2 - Inundations by tsunamis have caused tremendous disasters on coasts all over the world. Consequently, the characteristics of tsunami runup have attracted public and scientific curiosity, which have led to a better understanding of the characteristics of tsunami evolution and runup. On the other hand, the drawdown of tsunamis has less attracted public and scientific interest. Thus, in this study, we investigate the drawdown processes of tsunamis at a geophysical scale. We simulate tsunami propagation and drawdown using a numerical model for fully nonlinear, weakly dispersive, rotational, and turbulent flow. Considering typical geophysical scales, we examine the effects of the amplitude, period, and shape of the incident wave, and bathymetric slope. The simulations show that the maximum drawdown of single leading-elevation N-wave (LEN) occurs prior to runup phase, whereas the maximum drawdown of single leading-depression N-wave (LDN) occurs after the runup phase. In addition, it is observed that the physical processes to induce drawdown of LDN- and LEN-type tsunamis are different from each other. Counterintuitively, the maximum drawdown depth of LEN can be greater than LDN tsunamis. Although the physical procedures are different, the maximum drawdown depths of both N-type tsunamis follow power functional relationships with the surf-similarity parameter ξ (Battjes, 1974). A noteworthy point is their power-law exponent o f: ξ: The numerical simulations under the geophysical scales result in that the ratio of maximum drawdown depth to incident tsunami wave amplitude is proportional to −ξ0.7 and −ξ−0.4 for which [Fromula Presented] and [Fromula Presented], respectively, regardless of LDN or LEN. Based on this consistency, we propose empirical formulae to predict the maximum drawdown depth of single N-type tsunamis.
AB - Inundations by tsunamis have caused tremendous disasters on coasts all over the world. Consequently, the characteristics of tsunami runup have attracted public and scientific curiosity, which have led to a better understanding of the characteristics of tsunami evolution and runup. On the other hand, the drawdown of tsunamis has less attracted public and scientific interest. Thus, in this study, we investigate the drawdown processes of tsunamis at a geophysical scale. We simulate tsunami propagation and drawdown using a numerical model for fully nonlinear, weakly dispersive, rotational, and turbulent flow. Considering typical geophysical scales, we examine the effects of the amplitude, period, and shape of the incident wave, and bathymetric slope. The simulations show that the maximum drawdown of single leading-elevation N-wave (LEN) occurs prior to runup phase, whereas the maximum drawdown of single leading-depression N-wave (LDN) occurs after the runup phase. In addition, it is observed that the physical processes to induce drawdown of LDN- and LEN-type tsunamis are different from each other. Counterintuitively, the maximum drawdown depth of LEN can be greater than LDN tsunamis. Although the physical procedures are different, the maximum drawdown depths of both N-type tsunamis follow power functional relationships with the surf-similarity parameter ξ (Battjes, 1974). A noteworthy point is their power-law exponent o f: ξ: The numerical simulations under the geophysical scales result in that the ratio of maximum drawdown depth to incident tsunami wave amplitude is proportional to −ξ0.7 and −ξ−0.4 for which [Fromula Presented] and [Fromula Presented], respectively, regardless of LDN or LEN. Based on this consistency, we propose empirical formulae to predict the maximum drawdown depth of single N-type tsunamis.
KW - Drawdown
KW - Geophysical scales.
KW - N-wave
KW - Numerical simulation
KW - Tsunami
UR - http://www.scopus.com/inward/record.url?scp=85110682193&partnerID=8YFLogxK
U2 - 10.1016/j.apor.2021.102722
DO - 10.1016/j.apor.2021.102722
M3 - Article
AN - SCOPUS:85110682193
SN - 0141-1187
VL - 113
JO - Applied Ocean Research
JF - Applied Ocean Research
M1 - 102722
ER -