IMHE OpenIR  > 山地表生过程与生态调控重点实验室
复合指纹识别技术定量示踪流域泥沙来源
Alternative TitleQuantifying catchment scale sediment source using composite fingerprinting technique
郭进; 文安邦; 严冬春; 史忠林
Corresponding Author文安邦
2014
Source Publication农业工程学报
Volume30Issue:2Pages:94-104
Other Abstract土壤侵蚀导致水土资源及土地生产力的破坏和损失,泥沙淤积危害及其引发的一系列水环境效应已成为当前及以后一段时期内研究的热点和重点。开展流域(河流)泥沙来源研究,查明入塘、河、库泥沙通量,定量识别泥沙来源具有重要现实指导意义。选取了一个由山坪塘控制出口的封闭式农业单元小流域(10.7 hm2),开展复合指纹识别技术定量辨析塘库沉积泥沙来源新尝试。据流域现状,定性划分了3种泥沙来源,即旱地、水田、林草地,并分别于塘库中部采取A、B、C三柱表层沉积泥沙;结合复合指纹识别技术定量解析了塘库表层沉积泥沙来源。研究表明,塘库沉积泥沙各来源相对输沙贡献分别为旱地84%、水田14%、林草地2%,复合指纹识别技术能较好地辨析小流域泥沙来源。 
; Severe soil and water loss and land destruction, diffused sediment pollution caused by the excessive sediment impairs water quality and plays a key roil on the transfer and fate of nutrients and contaminants. Researches on catchments (river) sediment provenance, ascertaining sediment flux into the pond, river and reservoir and apportioning catchments sediment sources all are very essential and instructive. Accordingly, this study makes an attempt to: 1) assess the potential for using composite fingerprint technique in tracing pond sediment from a agricultural catchment (10.7 hm2) in the Three Gorge Reservoir Region; 2) and to give an exploration of the sediment sources defined in term of land uses. Based on detailed field investigation and well arrangement for the sampling campaign, the small agricultural catchment was qualitatively divided into three
main sources (namely woodland and pasture, slope cropland and paddy field). A total of 15 potential source samples were collected from those three land use areas (with sample sizes of 7, 4, 4 for slope cropland, paddy field and woodland and pasture, respectively). Each source sample comprises 5-7 scrapes of the surface materials
(c. 2 cm) retrieved along the slope; and three cores (upper 5 cm of the pond sediment) were extracted from the pond and followed a homogeneous mixing so as to represent contemporary sedimentation during the latest 10 year. 16 geochemical properties, including radionuclides (137Cs, 210Pbex, 226Ra), organic and inorganic constituents (total C, total N, and total P), base cation (K, Mg), trace metal (Mn), heavy metals (Cd, Co, Cr, Cu, Ni, Pb and Zn) as well as grain size composition, were measured and statistically analyzed in order to determine the optimized composite fingerprints. 5 tracers (cf. total C, 137Cs, 226Ra, K and Zn) were selected constituting the integrated fingerprints through a two steps statistical analysis involving Kruskal-Wallis H test (K-W H test) and
discrimination function analysis (DFA), which all together are capable of discriminating 87% of the source samples correctly. Followed with an application of a multivariate linear mixing model, relative contributions of those three sources were apportioned. Results showed that approximately 84 % of the sediment reserved in the pond was originated from slope cropland, 14% of the sediment was from paddy field, wood land and pasture
makes a 2% contribution to the pond sediment. The study catchment is a typical small agricultural catchment with no drain system where runoff went down the slope through plots and converged in the lower paddy field in which temporary sedimentation was supposed to occur. While there may exist some extent of erosion, especially during
early summer when the paddy field was deeply ploughed and evenly harrowed for rice, thus might suffer heavy storm events at that time. The case study demonstrates that the composite fingerprint technology provides an alternative for elucidating the sediment sources of the agricultural catchments in the Three Gorges Reservoir Region.
Keyword泥沙输移 土壤 模型 指纹识别技术 多变量线性混合模型 复合指纹因子
DOI10.3969/j.issn.1002-6819.2014.02.013
Indexed ByCSCD
Language中文
CSCD IDCSCD:5047491
Funding Organization西部行动计划项目(KZCX2-XB3-09);国家科技支撑计划项目(2011BAD31B03);国家自然科学基金青年基金项目(41201275);西部之光“西部博士”项目
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Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/7028
Collection山地表生过程与生态调控重点实验室
科技与合作处
Recommended Citation
GB/T 7714
郭进,文安邦,严冬春,等. 复合指纹识别技术定量示踪流域泥沙来源[J]. 农业工程学报,2014,30(2):94-104.
APA 郭进,文安邦,严冬春,&史忠林.(2014).复合指纹识别技术定量示踪流域泥沙来源.农业工程学报,30(2),94-104.
MLA 郭进,et al."复合指纹识别技术定量示踪流域泥沙来源".农业工程学报 30.2(2014):94-104.
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