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PROCESS-BASED ESTIMATION OF SEDIMENT RESUSPENSION LOSSES DURING BUCKET DREDGING

机译:铲斗挖泥过程中泥沙悬浮损失的基于过程的估计

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Water quality impacts resulting from dredging operations are of particular current interest. Resulting suspended sediment plumes potentially impact the local aquatic environment in a variety of ways, including the burial of benthic organisms, contaminant transport, negatively affecting recreational uses, and modifying fish behavior. These potential impacts have often been cited in requests for restrictions on dredging operations in the form of environmental windows in many areas of the country and the focus of concern for many remedial dredging operations. While some resuspension data are available and a few empirical tools have been developed to make a priori estimates of sediment resuspension associated with dredging operations, the limited database hampers the applicability of these approaches. Hayes and Wu (2001) proposed the Resuspension Factor approach as a simplified approach to estimating sediment resuspension losses during dredging. Recent research has refined that approach by evaluating specific loss mechanisms and developing a generic framework for all types of bucket dredges. While the existing database does not allow sediment resuspension loss models to be developed and calibrated for each loss mechanism, the fundamental approaches presented provide a basis on which to focus future research efforts. Focusing research efforts on specific loss mechanisms holds significantly more promise for eventually developing reliable predictive methods for a wide-array of equipment working under a variety of conditions.
机译:当前特别关注挖泥作业对水质的影响。产生的悬浮沉积物羽流可能以各种方式影响当地的水生环境,包括埋葬底栖生物,污染物运输,对娱乐用途产生负面影响以及改变鱼类行为。这些潜在影响经常被要求在该国许多地区以环境窗口的形式限制挖泥作业,并成为许多补救挖泥作业关注的焦点。尽管可以获得一些重悬数据,并且已经开发了一些经验工具来对与疏operations操作相关的沉积物重悬进行先验估计,但有限的数据库妨碍了这些方法的适用性。 Hayes和Wu(2001)提出了“重悬浮因子”方法,作为估算疏ging过程中沉积物重悬浮损失的简化方法。最近的研究通过评估特定的损失机制并为所有类型的挖泥船开发通用框架来完善了该方法。虽然现有数据库不允许为每种损失机制开发和校准沉积物再悬浮损失模型,但所提供的基本方法为将来的研究工作提供了基础。将研究重点放在特定的损失机制上,对于为各种条件下工作的各种设备最终开发出可靠的预测方法,具有更大的希望。

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