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Monitoring Streambed Scour/Deposition Under Nonideal Temperature Signal and Flood Conditions

机译:在非理想温度信号和洪水条件下监控河床冲刷/沉积

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摘要

Streambed erosion and deposition are fundamental geomorphic processes in riverbeds, and monitoring their evolution is important for ecological system management and in-stream infrastructure stability. Previous research showed proof of concept that analysis of paired temperature signals of stream and pore waters can simultaneously provide monitoring scour and deposition, stream sediment thermal regime, and seepage velocity information. However, it did not address challenges often associated with natural systems, including nonideal temperature variations (low-amplitude, nonsinusoidal signal, and vertical thermal gradients) and natural flooding conditions on monitoring scour and deposition processes over time. Here we addressed this knowledge gap by testing the proposed thermal scour-deposition chain (TSDC) methodology, with laboratory experiments to test the impact of nonideal temperature signals under a range of seepage velocities and with a field application during a pulse flood. Both analyses showed excellent match between surveyed and temperature-derived bed elevation changes even under very low temperature signal amplitudes (less than 1 degrees C), nonideal signal shape (sawtooth shape), and strong and changing vertical thermal gradients (4 degrees C/m). Root-mean-square errors on predicting the change in streambed elevations were comparable with the median grain size of the streambed sediment. Future research should focus on improved techniques for temperature signal phase and amplitude extractions, as well as TSDC applications over long periods spanning entire hydrographs.
机译:河床侵蚀和沉积是河床的基本地貌过程,监测其演变对生态系统管理和河内基础设施的稳定性很重要。先前的研究显示了概念证明,即对河流和孔隙水的成对温度信号进行分析可以同时提供监测冲刷和沉积,河流沉积物的热状态以及渗流速度信息。但是,它没有解决经常与自然系统相关的挑战,包括不理想的温度变化(低振幅,非正弦信号和垂直热梯度)以及随着时间推移监测冲刷和沉积过程的自然淹没条件。在这里,我们通过测试拟议的热冲刷沉积链(TSDC)方法,实验室实验来测试非理想温度信号在一定范围的渗透速度下以及在脉冲洪水期间的现场应用,来解决这一知识鸿沟。两种分析均显示,即使在非常低的温度信号幅度(小于1摄氏度),非理想信号形状(锯齿形)以及强烈且不断变化的垂直热梯度(4摄氏度/米)下,被测床温和源自温度的床高变化之间也具有出色的匹配性。 )。预测河床高程变化的均方根误差与河床沉积物的中值粒径相当。未来的研究应集中在改进的温度信号相位和幅度提取技术以及跨整个水文图的长期TSDC应用中。

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  • 来源
    《Water resources research》 |2017年第12期|10257-10273|共17页
  • 作者单位

    Univ Idaho, Ctr Ecohydraul Res, Boise, ID 83702 USA;

    Univ Idaho, Ctr Ecohydraul Res, Boise, ID 83702 USA;

    US Forest Serv, Rocky Mt Res Stn, Boise, ID USA;

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