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Sediment fingerprinting in fluvial systems:review of tracers,sediment sources and mixing models

查看全文 作  者:Arman [1]HADDADCHI;Darren [2]S.RYDER;Olivier [3]EVRARD;Jon [1]OLLEY 高影响力作者 机构地区:[1]Australian Rivers Institute,Griffith University;[2]School of Environmental and Rural Sciences,University of New England;[3]Laboratoire des Sciences du Climat et de l'Environnement(LSCE/IPSL)高影响力机构 出  处:《International Journal of Sediment Research》索引2013年第28卷第4期,共19页高影响力期刊 摘  要:Suspended sediments in fluvial systems originate from a myriad of diffuse and point sources,with the relative contribution from each source varying over time and space.The process of sediment fingerprinting focuses on developing methods that enable discrete sediment sources to be identified from a composite sample of suspended material.This review identifies existing methodological steps for sediment fingerprinting including fluvial and source sampling,and critically compares biogeochcmical and physical tracers used in fingerprinting studies.Implications of applying different mixing models to the same source data are explored using data from 41 catchments across Europe,Africa,Australia,Asia,and North and South America.The application of seven commonly used mixing models to two case studies from the US(North Fork Broad River watershed) and France(BIcone watershed) with local and global(genetic algorithm) optimization methods identified all outputs remained in the acceptable range of error defined by the original authors.We propose future sediment fingerprinting studies use models that combine the best explanatory parameters provided by the modified Collins(using correction factors) and Hughes(relying on iterations involving all data,and not only their mean values) models with optimization using genetic algorithms to best predict the relative contribution of sediment sources to fluvial systems. 关 键 词:指纹图谱 河流系统 泥沙来源 混合模式 沉积物源 示踪剂 生物地球化学 相对贡献
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