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Tracing spatial sources of suspended sediment in the Ohio River basin, USA, using water quality data from the NASQAN programme

机译:利用NASQAN计划中的水质数据追踪美国俄亥俄州河流域中悬浮泥沙的空间来源

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Documenting catchment suspended sediment sources remains critical for guiding the design of sediment management strategies and for abating the numerous environmental issues associated with enhanced loadings. Sediment fingerprinting techniques have received increasing attention in this respect since, at the catchment scale, they avoid many of the problems and uncertainties experienced with using more traditional measurement methods. As part of the US Geological Survey's revised NASQAN (National Stream Quality Accounting Network) programme, routine water quality samples are collected in selected large river basins in the United States. The geochemical data generated from these samples over a period of 10 years (1996-2006), were used as the basis of a fingerprinting exercise to assess the key tributary sub-catchment spatial sources of suspended sediment transported by the Ohio River. A Monte Carlo approach was used during the fingerprinting mass balance modelling to quantify uncertainty in the spatial source estimates. The results should be interpreted with respect to the routine but infrequent nature of the suspended sediment samples used as the basis for the sourcing exercise, but nonetheless, demonstrate how routine monitoring samples can be used to provide some preliminary information on sediment provenance in large drainage basins.
机译:记录集水区悬浮的泥沙源对于指导泥沙管理策略的设计和减轻与增加负荷有关的众多环境问题仍然至关重要。沉积物指纹技术在这方面受到越来越多的关注,因为在集水区范围内,它们避免了使用更传统的测量方法所遇到的许多问题和不确定性。作为美国地质调查局修订的NASQAN(国家河流质量核算网络)计划的一部分,常规水质样本是在美国选定的大型流域中收集的。这些样品在10年(1996-2006年)中生成的地球化学数据被用作指纹识别演习的基础,以评估俄亥俄河运输的悬浮沉积物的主要支流子汇水区空间来源。在指纹质量平衡建模期间使用了蒙特卡洛方法来量化空间源估计中的不确定性。结果应解释为用作采购活动基础的悬浮泥沙样品的常规但不常见的性质,但尽管如此,仍应说明如何使用常规监测样品来提供有关大型流域沉积物来源的一些初步信息。

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