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首页> 外文期刊>Natural Hazards and Earth System Sciences Discussions >Internal structure of event layers preserved on the Andaman Sea continental shelf, Thailand: tsunami vs. storm and flash-flood deposits
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Internal structure of event layers preserved on the Andaman Sea continental shelf, Thailand: tsunami vs. storm and flash-flood deposits

机译:在安达曼海大陆架,泰国保留的事件层内部结构:海啸与风暴和闪蒸洪水存款

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摘要

Tsunami, storm and flash-flood event layers, which have been deposited over the last century on the shelf offshore Khao Lak (Thailand, Andaman Sea), are identified in sediment cores based on sedimentary structures, grain size compositions, Ti / Ca ratios and 210Pb activity. Individual offshore tsunami deposits are 12 to 30 cm in thickness and originate from the 2004 Indian Ocean Tsunami. They are characterized by (1) the appearance of sand layers enriched in shells and shell debris and (2) the appearance of mud and sand clasts. Storm deposits found in core depths between 5 and 82 cm could be attributed to recent storm events by using 210Pb profiles in conjunction with historical data of typhoons and tropical storms. Massive sand layers enriched in shells and shell debris characterize storm deposits. The last classified type of event layer represents reworked flash-flood deposits, which are characterized by a fining-upward sequence of muddy sediment. The most distinct difference between storm and tsunami deposits is the lack of mud and sand clasts, mud content and terrigenous material within storm deposits. Terrigenous material transported offshore during the tsunami backwash is therefore an important indicator to distinguish between storm and tsunami deposits in offshore environments.
机译:海啸,风暴和闪光洪水事件层已存入上世纪船屋海上Khao Lak(泰国,安达曼海),在沉积物核心基础上,基于沉积结构,粒度组成,Ti / Ca比和210pb活动。单个海上海啸沉积物厚度为12至30厘米,源自2004年印度洋海啸。它们的特点是(1)富含壳和壳碎屑的砂层的外观和(2)泥土和砂泥的外观。在5到82厘米之间的核心深度中发现的风暴沉积可以通过使用210pb曲线结合Typhoons和热带风暴的历史数据来归因于最近的风暴事件。富含壳和壳碎片的巨型砂层表征风暴沉积物。最后一个分类类型的事件层代表了重新计算的闪蒸沉积物,其特征在于晶体沉积物的翅膀向上序列。风暴和海啸沉积物之间最明显的差异是风暴沉积物中缺乏泥土和砂泥浆,泥浆含量和织物材料。因此,在海啸反弹期间陆上运输的堆积材料是区分风暴和海啸沉积物在海上环境中的重要指标。

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