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Assessment of a rapid method for quantitative reach-scale estimates of deposited fine sediment in rivers

机译:评估河流沉积细沉积物定量达到规模的快速方法的评估

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摘要

Despite increasing concerns about the negative effects that increased loads of fine-grained sediment are having on freshwaters, the need is clear for a rapid and cost-effective methodology that gives precise estimates of deposited sediment across all river types and that are relevant to morphological and ecological impact To date few attempts have been made to assess the precision of techniques used to assemble data on fine sediment storage in river channels. Accordingly, we present an investigation into the sources of uncertainty associated with estimates of deposited fine-grained sediment in rivers using a sediment resuspension technique, an approach that provides an instantaneous measure of deposited fine sediment (surface and subsurface) in terms of quantity and quality. We investigated how variation associated with river type, spatial patchiness within rivers, sampling, and individual operators influenced estimates of deposited fine sediment using this approach and compared the precision with that of visual estimates of river bed composition - a commonly applied technique in rapid river surveys. We have used this information to develop an effective methodology for producing reach-scale estimates with known confidence intervals. By using a spatially-focussed sampling strategy that captured areas of visually high and low deposition of finegrained sediment, the dominant aspects of small-scale spatial variability were controlled and a more precise instantaneous estimate of deposited fine sediment derived. The majority of the remaining within-site variance was attributable to spatial and sampling variability at the smallest (patch) scale. The method performed as well as visual estimates of percentage of the river bed comprising fines in its ability to discriminate between rivers but, unlike visual estimates, was not affected by operator bias. Confidence intervals for reach-scale measures of deposited fine-grained sediment were derived for the technique, and these can be applied elsewhere.
机译:尽管人们越来越担心细颗粒沉积物的增加会对淡水产生负面影响,但显然需要一种快速且经济高效的方法,该方法能够准确估算所有河流类型的沉积物,并且与形态学和水质相关。对生态的影响迄今为止,尚未做出任何尝试来评估用于收集河道细沙存储数据的技术的精度。因此,我们提出了一种利用沉积物再悬浮技术对与估算河流中细颗粒沉积物沉积量相关的不确定性来源进行调查的方法,该方法可提供数量和质量方面瞬时测量的沉积细颗粒沉积物(表面和地下) 。我们调查了与河流类型,河流内部空间斑块,采样和个体经营者有关的变化如何使用这种方法影响沉积细沉积物的估算,并将精度与可视化估算河床组成的精度进行了比较-这是快速河流调查中常用的技术。我们已使用此信息来开发一种有效的方法,以产生具有已知置信区间的覆盖范围估计值。通过使用以空间为中心的采样策略,捕获细颗粒沉积物视觉上高低沉积的区域,可以控制小规模空间变异的主要方面,并可以得到更精确的瞬时估算沉积细颗粒。其余的站点内差异大部分归因于最小(补丁)规模的空间和采样差异。该方法的性能以及对河床百分比的视觉估计包括对河流进行区分的能力的罚款,但与视觉估计不同,该方法不受操作者偏见的影响。该技术推导了沉积细颗粒沉积物达到尺度测量的置信区间,这些区间可以应用于其他地方。

著录项

  • 来源
    《Geomorphology》 |2015年第1期|37-50|共14页
  • 作者单位

    River Communities Group, School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK;

    River Communities Group, School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK;

    River Communities Group, School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK;

    Centre for Ecology and Hydrology, Wallingford, Oxfordshire OX10 8BB, UK;

    Centre for Ecology and Hydrology, Wallingford, Oxfordshire OX10 8BB, UK;

    Department of Sustainable Soils and Grassland Systems, Rothamsted Research-North Wyke, Okehampton, Devon EX20 2SB, UK;

    Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK;

    River Communities Group, School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Resuspension technique; Spatial variability; Uncertainty; Precision; Visual assessment of bed composition; Ecological impacts;

    机译:重悬技术;空间变异性;不确定;精确;目视评估床的成分;生态影响;

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