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Effects of reservoir stratification and watershed hydrology on manganese and iron in a dam-regulated river

机译:水库分层和流域水文对坝坝河锰铁的影响

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摘要

The presence of metals, including manganese (Mn) and iron (Fe), adversely impacts water quality. In seasonally stratified reservoirs, Mn and Fe can accumulate in the water column due to reducing conditions in sediments and be released to downstream rivers through dam discharge. In addition to reservoir stratification influences, the release of metals downstream is influenced by hydrologic conditions in the river. We examined the seasonal and spatial variability of Mn and Fe concentrations in a eutrophic, hydropower reservoir and the downstream river over a two-year period. Overall, we found that reservoir stratification was a strong predictor of tailrace Mn and Fe concentrations but that tailrace Fe concentrations were also influenced by dam discharge. Downgradient of the tailrace, river discharge and suspended sediment were the dominant predictors of both Mn and Fe concentrations. Using our data, we develop a conceptual model of seasonal and hydrologic drivers of metal concentrations. The model can be modified for other systems aiding drinking water utilities and other water users in forecasting under what seasonal and hydrologic conditions that Mn and Fe concentrations in river systems are likely to be elevated.
机译:金属(包括锰(Mn)和铁(Fe))的存在会对水质产生不利影响。在季节性分层的水库中,由于沉积物的减少,Mn和Fe会积聚在水柱中,并通过大坝排放释放到下游河流。除储层分层影响外,下游金属的释放还受到河流水文条件的影响。我们研究了富营养化水电水库和下游河流在两年时间内锰和铁浓度的季节性和空间变异性。总的来说,我们发现水库分层是尾矿中锰和铁含量的强预测指标,但尾矿中的铁含量也受大坝流量的影响。尾矿,河水流量和悬浮泥沙的下降是锰和铁浓度的主要预测因子。利用我们的数据,我们建立了金属浓度的季节和水文驱动因素的概念模型。该模型可以修改为其他系统,以帮助饮用水公用事业和其他用水户预测在哪些季节和水文条件下河流系统中的锰和铁浓度可能会升高。

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