International Research and Training Center on Erosion and Sedimentation (IRTCES), China Institute of Water Resources and Hydropower Research (IWHR), No. 20 Chegongzhuang Road West, Beijing, 100048, China.
Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK.
J Environ Manage. 2017 Jun 1;194:4-15. doi: 10.1016/j.jenvman.2016.05.066. Epub 2016 Jul 20.
Recent advances in sediment source tracing or fingerprinting procedures have focussed primarily on the use of novel sediment properties that are either easier to measure or provide improved source discrimination, or on improved procedures for representing and estimating the uncertainty associated with the final source apportionment results. Spatial variability of source properties has long been recognised as a potential problem for the approach, but there have been few attempts to explore the nature and magnitude of such variability and its wider implications for source fingerprinting investigations. This contribution addresses this issue with particular reference to surficial sediment sources. It reports the results of an investigation aimed at documenting the magnitude and nature of the spatial variability of the geochemical properties of surface soils within a single 7 ha cultivated field and exploring the implications of the findings for sediment source fingerprinting procedures. Samples of surface soil were collected from 52 points located within the field. Particular attention is directed to the extent of the spatial variability of 53 geochemical properties of the surface soil which could potentially be used as fingerprints, the importance of the influence of soil redistribution rate on the properties of the surface soil, provision of guidelines for selecting sampling points and the degree of correlation between different soil properties and its implications for the numerical procedures employed in sediment source fingerprinting studies. A novel aspect of the study is that caesium-137 (Cs) measurements were used to provide information on the magnitude and spatial pattern of the soil redistribution rate within the field, so that the influence of soil redistribution rate in causing systematic spatial variability of fingerprint properties could be further explored.
近年来,沉积物源示踪或示踪技术的进展主要集中在利用新型沉积物特性,这些特性要么更容易测量,要么提供更好的源区分,要么改进表示和估计与最终源分配结果相关的不确定性的程序。源特性的空间变异性长期以来一直被认为是该方法的一个潜在问题,但很少有人试图探索这种变异性的性质和程度及其对源指纹调查的更广泛影响。本研究特别针对表层沉积物源探讨了这一问题。它报告了一项旨在记录单个 7 公顷耕地内表层土壤地球化学性质空间变异性程度并探讨这些发现对沉积物源指纹技术影响的研究结果。从该农田内 52 个点采集了表层土壤样本。特别关注了 53 种可能作为指纹的表层土壤地球化学特性的空间变异性程度、土壤再分布速率对表层土壤特性的影响的重要性、采样点选择指南的制定以及不同土壤特性之间的相关性及其对沉积物源指纹研究中采用的数值程序的影响。本研究的一个新颖之处在于,使用铯-137(Cs)测量来提供关于农田内土壤再分布速率的大小和空间格局的信息,以便进一步探讨土壤再分布速率引起指纹特性系统空间变异性的影响。