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A New Approach of Using Multiple Composite Fingerprints to Apportion Sediment Sources

机译:一种使用多个复合指纹来分配沉积物来源的新方法

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Sediment source fingerprinting provides an essential means for estimating sediment source contributions, which are needed not only for soil conservation planning but also for erosion model evaluation and refinement. A single optimum composite fingerprint has been widely used in the literature to estimate sediment provenance. The objectives of this work are to: (1) verify whether an optimum composite fingerprint exists, (2) present a new direction of using multiple composite fingerprints to improve the accuracy and reliability of source contribution estimation, and (3) evaluate and compare the new approach and the optimum composite fingerprint approach using a synthetic sediment mixture. We collected 50 surface samples from overland flow areas in a 15.6 km2 watershed (Figure 1), 28 subsoil samples from gully banks, and 8 sediment samples at the watershed outlet. We then analyzed 31 elements using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) and a Macro Analyzer. The results show that tracerselection greatly impacts the estimated source contributions. The optimum composite fingerprint may not exist, or at least cannot be identified simply based on a tracer's ability to discriminate sources because of the lack of correlation between the tracer's ability to discriminate and its rigor in estimating source contributions.
机译:沉积物源指纹识别提供了估算沉积物源贡献的基本手段,这不仅需要用于水土保持计划,而且需要侵蚀模型评估和改进。单一最佳复合指纹已广泛用于文献中以估算沉积物来源。这项工作的目标是:(1)验证是否存在最佳复合指纹,(2)呈现使用多个复合指纹的新方向,以提高源贡献估计的准确性和可靠性,(3)评估和比较用合成沉积混合物的新方法和最佳复合指纹方法。我们在15.6 km2分水岭(图1)中,从沟壑区(图1),28个泥位水样上的50个表面样本收集了50个表面样本,并在流域出口处的8个沉积物样品。然后,使用电感耦合等离子体质谱(ICP-MS)和宏分析仪分析31个元件。结果表明,Tracerselection大大影响了估计的源贡献。最佳的复合指纹可能不存在,或者至少不能仅基于示踪剂来区分来源的能力来识别,因为示踪剂在估算源贡献中的辨别能力和其严谨之间的相关性之间缺乏相关性。

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