Tan Wai Kiat, Teh Su Yean, Koh Hock Lye
School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia.
School of Mathematical Sciences, Sunway University, 47500, Bandar Sunway, Selangor, Malaysia.
Environ Sci Pollut Res Int. 2017 Jul;24(19):15976-15994. doi: 10.1007/s11356-017-8698-x. Epub 2017 Mar 25.
Submarine landslides, also known as submarine mass failures (SMFs), are major natural marine disasters that could critically damage coastal facilities such as nuclear power plants and oil and gas platforms. It is therefore essential to investigate submarine landslides for potential tsunami hazard assessment. Three-dimensional seismic data from offshore Brunei have revealed a giant seabed mass deposited by a previous SMF. The submarine mass extends over 120 km from the continental slope of the Baram Canyon at 200 m water depth to the deep basin floor of the Northwest Borneo Trough. A suite of in-house two-dimensional depth-averaged tsunami simulation model TUNA (Tsunami-tracking Utilities and Application) is developed to assess the vulnerability of coastal communities in Sabah and Sarawak subject to potential SMF tsunami. The submarine slide is modeled as a rigid body moving along a planar slope with the center of mass motion parallel to the planar slope and subject to external forces due to added mass, gravity, and dissipation. The nonlinear shallow water equations are utilized to simulate tsunami propagation from deepwater up to the shallow offshore areas. A wetting-drying algorithm is used when a tsunami wave reaches the shoreline to compute run up of tsunami along the shoreline. Run-up wave height and inundation maps are provided for seven densely populated locations in Sabah and Sarawak to highlight potential risks at each location, subject to two scenarios of slide slopes: 2° and 4°. The first wave may arrive at Kudat as early as 0.4 h after the SMF, giving local communities little time to evacuate. Over a small area, maximum inundated depths reaching 20.3 m at Kudat, 26.1 m at Kota Kinabalu, and 15.5 m at Miri are projected, while the maximum inundation distance of 4.86 km is expected at Miri due to its low-lying coast. In view of the vulnerability of some locations to the SMF tsunami, it is important to develop and implement community resilience program to reduce the potential damage that could be inflicted by SMF tsunamis.
海底滑坡,也被称为海底大规模失稳(SMFs),是主要的天然海洋灾害,可能会严重破坏沿海设施,如核电站以及石油和天然气平台。因此,为了进行潜在海啸灾害评估而对海底滑坡进行调查至关重要。来自文莱近海的三维地震数据揭示了一个由先前的海底大规模失稳沉积的巨大海底物质。该海底物质从水深200米的巴拉姆峡谷大陆坡延伸超过120公里至婆罗洲西北部海槽的深海盆底。开发了一套内部二维深度平均海啸模拟模型TUNA(海啸追踪实用工具与应用),以评估沙巴和砂拉越沿海社区在遭受潜在海底大规模失稳海啸时的脆弱性。将海底滑坡模拟为一个沿平面斜坡移动的刚体,其质心运动平行于平面斜坡,并受到附加质量、重力和耗散等外力作用。利用非线性浅水方程模拟海啸从深水到浅海近海区域的传播。当海啸波到达海岸线时,使用干湿算法来计算海啸沿海岸线的爬高。针对沙巴和砂拉越的七个人口密集地点,给出了爬高波高和淹没图,以突出在滑坡坡度为2°和4°这两种情况下每个地点的潜在风险。第一波海啸可能在海底大规模失稳后最早0.4小时到达古达,留给当地社区的撤离时间很少。在一个小区域内,预计古达的最大淹没深度可达20.3米,哥打基纳巴卢为26.1米,美里为15.5米,而由于美里海岸地势低洼,预计其最大淹没距离为4.86公里。鉴于一些地点对海底大规模失稳海啸的脆弱性,制定和实施社区抗灾计划以减少海底大规模失稳海啸可能造成的潜在破坏非常重要。