水科学进展2016，Vol.27Issue(6)：867-875,9.DOI:10.14042/j.cnki.32.1309.2016.06.009
利用两种指纹因子判别小流域泥沙来源
Using two kinds of fingerprint factors to identify sediment sources in a small catchment
摘要
Abstract
In order to accurately identify sediment sources in the gully and hilly zones of the Loess Plateau, this study was used a composite fingerprinting method that was based on two types of fingerprint factors ( 14 physicochemi-cal properties and 23 biomarker properties ( n-alkanes) ) with source samples and sediments derived from check dam. The results showed that, neither the individual physicochemical properties nor biomarker properties cannot effectively identify sediment sources. The physicochemical properties were showing the limitation in identifying forest and crop-land, and the n-alkanes were showing the limitation in identifying the gully. However, the optimum composite finger-print consisted of three physicochemical properties and three biomarker properties (CPI, Ca, TP, C20, C29 and Fe) could correctly distinguish 90. 5% of the samples. The results showed that in the study area, gully was the main sedi-ment source in this catchment, reaching 60. 8%, while the cropland contributed 20. 7% of the sediment, and forest and grassland contributed 11. 3% and 7. 1%, respectively. This research demonstrates that using the composite finger-print consists of traditional fingerprint properties and biomarkers to identify the sediment source are more accurate, it would be suitable for the area where the geologic variations of a study area are small. The study is meaningful for de-signing sediment management and soil erosion control strategies in Loess Plateau.关键词
泥沙来源/复合指纹/理化指标/正构烷烃Key words
sediment source/composite fingerprint/physicochemical properties/n-alkanes分类
农业科技引用本文复制引用
陈方鑫,张含玉,方怒放,史志华..利用两种指纹因子判别小流域泥沙来源[J].水科学进展,2016,27(6):867-875,9.基金项目
国家杰出青年科学基金资助项目（41525003）；国家自然科学基金资助项目 （）
