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Hideaki Yanagisawa Shunichi Koshimura Kazuhisa Goto Toyohiko Miyagi Fumihiko Imamura Anat Ruangrassamee Charlchai Tanavud 《Estuarine, Coastal and Shelf Science》2009
Using an integrated approach including satellite imagery analysis, field measurements, and numerical modeling, we investigated the damage to mangroves caused by the 2004 Indian Ocean tsunami at Pakarang Cape in Pang Nga Province, Thailand. Comparing pre- and post-tsunami satellite imagery of the study area, we found that approximately 70% of the mangrove forest was destroyed by the tsunami. Based on field observations, we found that the survival rate of mangroves increased with increasing stem diameter. Specifically, we found that 72% of Rhizophora trees with a 25–30 cm stem diameter survived the tsunami impact, whereas only 19% with a 15–20 cm stem diameter survived. We simulated the 2004 Indian Ocean tsunami using the nonlinear shallow-water wave theory to reproduce the tsunami inundation flow and investigated the bending moment acting on the mangrove trees. Results of the numerical model showed that the tsunami inundated areas along the mangrove creeks, and its current velocity reached 5.0 m s−1. Based on the field measurements and numerical results, we proposed a fragility function for mangroves, which is the relationship between the probability of damage and the bending stress caused by the maximum bending moment. We refined the numerical model to include the damage probability of mangrove forests using the obtained fragility function to investigate the tsunami reduction effect of mangrove forest. Under simple numerical conditions related to the mangrove forest, ground level, and incident wave, the model showed that a mangrove forest of Rhizophora sp. with a density of 0.2 trees m−2 and a stem diameter of 15 cm in a 400 m wide area can reduce the tsunami inundation depth by 30% when the incident wave is assumed to have a 3.0 m inundation depth and a wave period of 30 min at the shoreline. However, 50% of the mangrove forest is destroyed by a 4.5 m tsunami inundation depth, and most of the mangrove forest is destroyed by a tsunami inundation depth greater than 6 m. The reduction effect of tsunami inundation depth decreased when the tsunami inundation depth exceeded 3 m, and was mostly lost when the tsunami inundation depth exceeded 6 m. 相似文献
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Monte Kietpawpan Parichart Visuthismajarn Charlchai Tanavud Mark G. Robson 《Natural Hazards》2008,46(1):89-106
A new model to calculate tsunami travel times in the Andaman Sea region has been developed. The model specifically provides
more accurate travel time estimates for tsunamis propagating to Patong Beach on the west coast of Phuket, Thailand. More generally,
the model provides better understanding of the influence of the accuracy and resolution of bathymetry data on the accuracy
of travel time calculations. The dynamic model is based on solitary wave theory, and a lookup function is used to perform
bilinear interpolation of bathymetry along the ray trajectory. The model was calibrated and verified using data from an echosounder
record, tsunami photographs, satellite altimetry records, and eyewitness accounts of the tsunami on 26 December 2004. Time
differences for 12 representative targets in the Andaman Sea and the Indian Ocean regions were calculated. The model demonstrated
satisfactory time differences (<2 min/h), despite the use of low resolution bathymetry (ETOPO2v2). To improve accuracy, the
dynamics of wave elevation and a velocity correction term must be considered, particularly for calculations in the nearshore
region. 相似文献
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