The sedimentology of fluvial megascours

河流特大冲刷沉积学

基本信息

  • 批准号:
    NE/I023120/1
  • 负责人:
  • 金额:
    $ 6.32万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2012
  • 资助国家:
    英国
  • 起止时间:
    2012 至 无数据
  • 项目状态:
    已结题

项目摘要

A common feature of rivers is that at bends, or where two channels join, they scour out their beds to depths that greatly exceed the average depth along their course. In the World's largest rivers such features are truly 'megascours' reaching depths of 50 m. However, despite their widespread occurrence, they are a relatively unquantified phenomenon due to issues associated with obtaining measurements from such locations. This lack of understanding matters because knowledge of megascours has a number of key societal (destruction of infrastructure) and economic (hydrocarbon exploration) applications. To tackle this pressing issue this proposal presents a unique methodology based on application of state-of-the-art high resolution marine seismic technologies together with a programme of coring and numerical modelling that will allow long-standing controversies relating to megascours to be resolved. The proposal brings together a novel collaboration between marine scientists, river sedimentologist and numerical modellers in one of the World's largest rivers, the Jamuna, Bangladesh. Marine seismic systems have been used extensively to provide high resolution images of the subsurface in offshore environments but have never been applied in a river. However, by taking advantage of new technologies developed at the National Oceanography Centre, Southampton our team is now in a position to generate the first quantitative datasets of river megascour morphology and associated deposits. Our focus will be scours near the confluence of the Ganges and Jamuna rivers and at sites further downstream. Over these sites an understanding of the sub-riverbed will be achieved by the collection of seismic reflection data (informed by a programme of coring and some additional ground penetrating radar data), while the nature and processes acting on the riverbed will be determined from multi-beam echosounder data. This will allow morphology and the associated fill of scours to be quantified and any downstream changes between sites to be fully assessed. We will use this data to evaluate a numerical model of megascour sedimentology that can then be used, for the first time, to test contrasting conceptual models, largely developed on inference in the absence of data, of how megascours function and what they look like in the rock record. A key output of the project will thus be the first fully evaluated generic numerical model of scour zone stratigraphy that will be widely applicable to a broad range of large rivers. We will also have developed protocols for undertaking seismic surveys within rivers, so opening up the technology for others. This has the potential to have a transformative impact upon the discipline allowing new datasets to be collected that will allow advances in fundamental river science.The generic understanding revealed by our work will also have a number of important applications that will be explored as part of our Pathways to Impact. Thus we will inform policy-makers and local communities and collaborate with specialists in the hydrocarbon industry.
河流的一个共同特征是,在弯道处或两条河道汇合的地方,它们冲刷河床的深度大大超过了沿途的平均深度。在世界上最大的河流中,这样的特征是真正的“巨型河道”,深达50米。然而,尽管它们普遍存在,但由于从这些地点获得测量数据的相关问题,它们是一种相对无法量化的现象。这种缺乏理解的问题在于,对巨型天然气的了解有许多关键的社会(破坏基础设施)和经济(勘探油气)应用。为了解决这一紧迫的问题,本提案提出了一种独特的方法,该方法基于最先进的高分辨率海洋地震技术的应用,以及一个取心和数值模拟程序,这将使与特大地震有关的长期争议得以解决。这项提议将海洋科学家、河流沉积学家和数值模拟专家在世界上最大的河流之一——孟加拉国的贾穆纳河(Jamuna)上进行了一次新颖的合作。海洋地震系统已被广泛用于提供海洋环境下的高分辨率图像,但从未在河流中应用。然而,通过利用南安普顿国家海洋学中心开发的新技术,我们的团队现在能够生成第一个河流巨藻形态和相关沉积物的定量数据集。我们的重点将是恒河和贾穆纳河汇合处附近以及下游地区的冲刷。在这些地点,将通过收集地震反射数据(通过取心计划和一些额外的探地雷达数据)来了解下层河床,而作用于河床的性质和过程将由多波束回声测深数据确定。这将使形态和相关的冲刷填充物被量化,并充分评估地点之间的任何下游变化。我们将使用这些数据来评估巨型气田沉积学的数值模型,然后可以第一次用于测试对比的概念模型,这些模型主要是在缺乏数据的情况下根据推断开发的,关于巨型气田的功能和它们在岩石记录中的样子。因此,该项目的一项关键成果将是第一个得到充分评价的冲刷带地层学一般数值模型,该模型将广泛适用于各种大河。我们还将制定在河流内进行地震勘测的规程,从而向其他国家开放这项技术。这有可能对该学科产生变革性影响,允许收集新的数据集,从而推动基础河流科学的发展。我们的工作揭示的一般理解也将有一些重要的应用,将作为我们的影响之路的一部分进行探索。因此,我们将告知政策制定者和当地社区,并与碳氢化合物行业的专家合作。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Numerical simulation of bar and island morphodynamics in anabranching megarivers
  • DOI:
    10.1002/jgrf.20132
  • 发表时间:
    2013-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Andrew Nicholas;Philip J. Ashworth;G. H. S. Smith;S. Sandbach
  • 通讯作者:
    Andrew Nicholas;Philip J. Ashworth;G. H. S. Smith;S. Sandbach
The planform mobility of river channel confluences: Insights from analysis of remotely sensed imagery
  • DOI:
    10.1016/j.earscirev.2017.09.009
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    12.1
  • 作者:
    Simon J. Dixon;Greg . Smith;J. Best;A. Nicholas;J. Bull;M. Vardy;Maminul H. Sarker;S. Goodbred
  • 通讯作者:
    Simon J. Dixon;Greg . Smith;J. Best;A. Nicholas;J. Bull;M. Vardy;Maminul H. Sarker;S. Goodbred
The sedimentology of river confluences
河流交汇处的沉积学
  • DOI:
    10.1111/sed.12504
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Sambrook Smith G
  • 通讯作者:
    Sambrook Smith G
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Andrew Nicholas其他文献

Race and appointment availability influence continuity of care for chronic inflammatory skin disease: A cross-sectional study of United States practice data
种族和预约可用性影响慢性炎症性皮肤病的护理连续性:对美国实践数据的横断面研究
Optical evaluation of the Tiny Remote-sensing Instrument for Thermospheric Oxygen and Nitrogen (TRITON) CubeSat payload
小型热层氧氮遥感仪器 (TRITON) CubeSat 有效载荷的光学评估
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bruce Fritz;Kenneth Dymond;Charles Brown;Josh M. Wolf;T. Finne;V. M. Kooi;Andrew Nicholas;S. Budzien;Andrew W. Stephan;K. Wolfram
  • 通讯作者:
    K. Wolfram
Towards sustainable governance of freshwater sand – A resource regime approach
  • DOI:
    10.1016/j.esg.2024.100228
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tahmina Yasmin;Julian Clark;Greg Sambrook Smith;Afrah Daham;Andrew Nicholas;Andrea Gasparotto
  • 通讯作者:
    Andrea Gasparotto
Endocarditis identified by emergency department bedside ultrasound on a patient who presented with neurologic complaints
  • DOI:
    10.1016/j.visj.2024.101935
  • 发表时间:
    2024-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Andrew Nicholas;Robyn Hoelle;Diana Mora Montero
  • 通讯作者:
    Diana Mora Montero

Andrew Nicholas的其他文献

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{{ truncateString('Andrew Nicholas', 18)}}的其他基金

THE EVOLUTION OF GLOBAL FLOOD HAZARD AND RISK [EVOFLOOD]
全球洪水灾害和风险的演变 [EVOFLOOD]
  • 批准号:
    NE/S015612/1
  • 财政年份:
    2021
  • 资助金额:
    $ 6.32万
  • 项目类别:
    Research Grant
Propagation of hydro-geomorphic disturbances through continental-scale river basins: Future evolution of the Amazon River and its floodplain
水文地貌扰动通过大陆规模河流盆地的传播:亚马逊河及其洪泛区的未来演化
  • 批准号:
    NE/T007478/1
  • 财政年份:
    2020
  • 资助金额:
    $ 6.32万
  • 项目类别:
    Research Grant
Modelling how sediment suspension controls the morphology and evolution of sand-bed rivers
模拟沉积物悬浮如何控制沙床河流的形态和演化
  • 批准号:
    NE/L00738X/1
  • 财政年份:
    2015
  • 资助金额:
    $ 6.32万
  • 项目类别:
    Research Grant
Development of Winds Ion Neutrals Composition Suite (WINCS)
开发风离子中性成分套件 (WINCS)
  • 批准号:
    1142239
  • 财政年份:
    2011
  • 资助金额:
    $ 6.32万
  • 项目类别:
    Interagency Agreement
Morphodynamics and sedimentology of the tidally-influenced fluvial zone (TIFZ)
受潮汐影响的河流带(TIFZ)的形态动力学和沉积学
  • 批准号:
    NE/H006524/1
  • 财政年份:
    2010
  • 资助金额:
    $ 6.32万
  • 项目类别:
    Research Grant
Do floods matter? Bridging the gap between fluvial morphodynamics and alluvial architecture
洪水重要吗?
  • 批准号:
    NE/H009108/1
  • 财政年份:
    2010
  • 资助金额:
    $ 6.32万
  • 项目类别:
    Research Grant

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