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Spatial and temporal patterns of sedimentation in an infilling reservoir

机译:灌注水库中沉积的空间和时间模式

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River dams are ubiquitous globally, altering the connection of up- and downstream environments. In particular, they store vast amounts of sediment in their upstream reservoirs, many of which are approaching storage capacity. There is much interest in sediment management for these systems, even though quantifying sedimentation rates remains somewhat challenging. This study focuses on one such system, Conowingo Reservoir, upstream of the last and largest dam (Conowingo Dam) on the Susquehanna River before it enters Chesapeake Bay. The trapping capacity of Conowingo Reservoir has decreased since its creation in 1928, potentially increasing fluvial loading to the Bay. In addition, large flood events can scour much more than the average annual sediment load from the Reservoir bottom, delivering exceptionally large sediment loads to the Bay within days. Predicting the downstream impacts of both Reservoir infill and scour events is essential for management; however, these predictions are limited by understanding of the complex spatial and temporal variability of sedimentation. To evaluate this variability, sedimentation rates are determined throughout the Reservoir over seasonal to decadal time scales with the naturally occurring radioisotopes Be-7 and Pb-210 (half-lives 53.3 days and 22.3 years, respectively), as well as anthropogenically produced Cs-137 (half-life 30.7 y) as an independent geochronometer. These rates are placed within the context of sediment character (mud content) and fluvial sediment supply to the Reservoir, as well as its geomorphology. In general, seasonal sedimentation rates scale with fluvial loads and reflect deposition of watershed-derived sediment. Spatial patterns of seasonal sedimentation follow those of river deltas incised by channels, while decadal-scale sedimentation rates increase downstream. Episodic event sedimentation in channels is suggested by the character of Pb-210 profiles, which indicate non steady state sedimentation that makes application of sediment-age dating models challenging in this system. Although sediment mud content has clearly decreased as the Reservoir has filled, observed changes in sedimentation rates may reflect biases of these models rather than physical changes.
机译:河流在全球范围内普遍存在,改变了上游环境的连接。特别是,它们在上游水库中存储大量沉积物,其中许多正在接近存储容量。对于这些系统的沉积物管理有很多兴趣,尽管量化沉积率仍然有点具有挑战性。本研究重点介绍了一个这样的系统,Conodeo水库,在萨克斯河河上的最后一个和最大的大坝(ConoYo大坝)上游,然后进入Chesapeake湾。自1928年创造以来,ConoYo储层的捕获能力下降,可能会增加河流的河流载荷。此外,大型洪水事件可能会填充从储层底部的平均年龄沉积物负荷,在几天内为海湾提供异常大的沉积物。预测水库填充和冲刷事件的下游影响对于管理是必不可少的;然而,这些预测是通过了解沉降的复杂空间和时间变异性的限制。为了评估这种可变性,在整个储层中确定沉降率,以季节性到偶数时间尺度,天然存在的放射性同位素为-7和PB-210(分别为53.3天和22.3岁),以及人为产生的CS- 137(半寿命30.7 y)作为一个独立的地球数计。将这些速率放在沉积物特征(泥含量)和河流泥浆供应的范围内,以及其几形。通常,季节性沉积速率与氟载荷和反射流域衍生沉积物的沉积。季节性沉积的空间模式沿着渠道联系的河流趋势,而Decadal-Scale沉降率下游增加。通过PB-210型材的特征提出了通道中的episodic事件沉降,这表明了非稳态沉降,使得在该系统中挑战沉积时期约会模型的应用。尽管沉积物泥含量随着储存器填充而显然降低,但观察到沉降率的变化可能反映这些模型的偏差而不是物理变化。

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