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Effects of copper and acidic mine drainage on sediment and water quality in Keswick Reservoir, Shasta County, California.

机译:铜和酸性矿山排水对加利福尼亚州沙斯塔县凯西克水库的沉积物和水质的影响。

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Iron Mountain Mine has historically been the largest contributor of toxic concentrations of copper to the Sacramento River. In addition to degradation of water and sediment quality, copper poses potential toxicity risks to sensitive aquatic species in the Sacramento River below Keswick Dam.; A mechanistic approach was developed to examine the transport and fate of copper in Keswick Reservoir, to estimate concentrations of copper species discharged to the Sacramento River, and to evaluate effects of alternative reservoir operations on disturbance and transport of contaminated sediments. Field studies were conducted in support of this study to characterize morphology, hydrodynamics, and water quality in Keswick Reservoir.; An existing suite of finite element models was adapted to the Keswick Reservoir system. pH and copper speciation equations were incorporated within the framework of the water quality model, RMA11, tested on a simplified system network, and applied to a finite element network representation of Keswick Reservoir. Simulation boundary conditions included existing (peaking power) discharges versus a steady discharge from Spring Creek Power Plant, together with average and worst case (i.e., spill) discharges from Spring Creek Debris Dam. Alternative hypothetical scenarios were used to examine effects of reservoir operations and discharges from the debris dam on copper concentrations in the water column and sediments.; Simulation results showed a correlation between water column constituent concentrations and power plant outflow rates. Simulated peak water column copper concentrations were 1.5 to 3 times higher under peaking power operations than under steady flow conditions at the power plant. Simulations of copper species' concentrations showed Cu2+, the copper species most toxic to aquatic organisms, to be the dominant form of copper under peaking power cycle operations, but that CuCO3 concentrations dominated under the hypothetical steady flow conditions applied at Spring Creek Power Plant.; Modeling techniques developed in this study can serve as a useful tool for evaluation of alternatives for remediation or enhancement of water quality in surface water systems receiving acidic and heavy metal contaminant discharges from mines or industrial sources and may be used in support of efforts to develop effective management strategies for preservation of fresh water resources.
机译:历史上,铁山矿一直是萨克拉曼多河中有毒铜浓度最大的来源。除了降低水和沉积物质量外,铜还对凯瑟克大坝下方的萨克拉曼多河中的敏感水生物种构成潜在的毒性风险。开发了一种机械方法来检查凯西克水库中铜的运输和结局,估算排放到萨克拉曼多河的铜种类的浓度,并评估替代性水库运营对受污染的沉积物的干扰和运输的影响。为了支持这项研究,进行了野外研究,以表征凯瑟克水库的形态,流体动力学和水质。现有的有限元模型套件已适应Keswick水库系统。将pH和铜的形态方程式纳入水质模型RMA11的框架中,在简化的系统网络上进行测试,并将其应用于Keswick水库的有限元网络表示。模拟边界条件包括Spring Creek电厂的现有(峰值功率)排放与稳定排放之间的关系,以及Spring Creek碎石坝的平均和最坏情况(即溢流)排放。使用替代的假设情景来检查水库运行和泥石坝排放对水柱和沉积物中铜浓度的影响。仿真结果表明水柱成分浓度与电厂出水率之间存在相关性。在峰值功率操作下,模拟的峰值水柱铜浓度比发电厂的稳定流量条件下高1.5至3倍。对铜物质浓度的模拟显示,在峰值功率循环操作下,对水生生物毒性最大的铜物质Cu2 +是铜的主要形式,但在Spring Creek电厂采用的假设稳定流量条件下,CuCO3浓度占主导。本研究中开发的建模技术可以用作评估补救措施或改善从矿山或工业来源排放酸性和重金属污染物的地表水系统中水质的替代方法的有用工具,并可用于支持开发有效方法的努力。保存淡水资源的管理策略。

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