利用复合指纹法分析剑川双河水库泥沙来源

尹捷; 杨苑君; 喻庆国; 陈晨; 李波; 罗旭; 李丽萍; 王钧霞; 欧阳敏

doi:10.13961/j.cnki.stbctb.2020.01.021

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利用复合指纹法分析剑川双河水库泥沙来源

试验研究

- 利用复合指纹法分析剑川双河水库泥沙来源
- Analysis of Sediment Sources of Shuanghe Reservoir Catchment Using Combined Fingerprinting Technique
- 水土保持通报 2020年40卷第1期页码：142-148
- 作者机构：
  
  1. 西南林业大学湿地学院,云南,昆明,650224
  2. 西南林业大学国家高原湿地研究中心,云南,昆明,650224
  3. 云南农业大学水利学院,云南,昆明,650201
  4. 西南林业大学生态与环境学院,云南,昆明,650224
  5. 西南林业大学林学院,云南,昆明,650224
- 作者简介：
- 基金信息：
  
  国家自然科学基金"滇西北高原湿地面山的根系固土机制研究"（31700635）;云南省应用基础研究计划项目"滇东南岩溶石漠化区坡面水土流失现状及土壤抗剪机制研究"（2018FD045）;云南省高校土壤侵蚀与控制重点实验室建设项目（云教科（2016）37号）
- DOI：10.13961/j.cnki.stbctb.2020.01.021
  中图分类号： S157.1
- 纸质出版：2020
- 稿件说明：
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尹捷, 杨苑君, 喻庆国, 等. 利用复合指纹法分析剑川双河水库泥沙来源[J]. 水土保持通报, 2020,40(1):142-148.

Yin Jie, Yang Yuanjun, Yu Qingguo, et al. Analysis of Sediment Sources of Shuanghe Reservoir Catchment Using Combined Fingerprinting Technique[J]. Bulletin of Soiland Water Conservation, 2020, 40(1): 142-148.
尹捷, 杨苑君, 喻庆国, 等. 利用复合指纹法分析剑川双河水库泥沙来源[J]. 水土保持通报, 2020,40(1):142-148. DOI： 10.13961/j.cnki.stbctb.2020.01.021.

Yin Jie, Yang Yuanjun, Yu Qingguo, et al. Analysis of Sediment Sources of Shuanghe Reservoir Catchment Using Combined Fingerprinting Technique[J]. Bulletin of Soiland Water Conservation, 2020, 40(1): 142-148. DOI： 10.13961/j.cnki.stbctb.2020.01.021.

摘要

[目的] 定量研究水库沉积泥沙的具体来源，为中国滇西北水土流失区域泥沙来源研究和流域综合治理提供科学依据。[方法] 以滇西北剑川县双河水库流域作为研究区，选取林地、草地、耕地及采矿用地4种土地利用类型作为潜在泥沙源头，利用复合指纹法分析双河水库沉积泥沙潜在来源及其贡献百分比。选择27个地球化学因子，通过守恒性检验与Kruskal-Walls H检验并利用逐步判别分析确定最佳指纹因子组合，运用多元线性混合模型计算各泥沙源地贡献百分比。[结果] ①共有8个指纹因子（S，Ca，Sr，TP，Cr，Ba，K，Mg）被确认为最佳指纹因子组合，累计贡献率达89.60%；②总体上，泥沙贡献百分比平均值从大到小为：草地（37.28%） > 耕地（34.62%） > 林地（27.86%） > 采矿用地（0.24%）；③单位面积上泥沙贡献百分比为：耕地（9.55%） > 草地（3.78%） > 采矿用地（1.24%） > 林地（0.38%）。[结论] 复合指纹法适用于双河水库流域泥沙来源判别，耕地仍是土壤侵蚀最为严重的土地利用类型，而草地因面积较大、地表覆盖度较低，也是泥沙贡献较多的土地利用类型。

Abstract

[Objective] The specific sources of sediment in Shuanghe reservoir were quantitatively studied in order to provide scitific references for the comprehensive management and sediment source research of the river basin in the northwest of Yunnan Province.[Methods] This paper selected the Shuanghe reservoir catchment of Jianchuan County as the study area. Proposed sediment sources were woodland

grassland

farmland and coal land

which were analyzed for their respective contribution to the reservoir sediment by using a combined fingerprinting technique. Twenty-seven geochemical factors were selected

the best combination of fingerprint factors was confirmed by the conservation test and Kruskal-Wallis H test. Then

the contribution rate of each sediment source was calculated by using the multivariate linear mixing model.[Results] ① A total of 8 fingerprint factors (S

Mg) was confirmed to be the best fingerprint factor combination

with the cumulative contribution rate of 89.60%; ② The total contribution rate of sediment was grassland (37.28%)

farmland (34.62%)

woodland (27.86%) and coal land (0.24%); ③ The descending order of sediment contribution rate per unit area was farmland (9.55%)

grassland (3.78%)

coal land (1.24%) and woodland (0.38%).[Conclusion] The combined fingerprinting method is applicable to the identification of sediment source in the Shuanghe reservoir basin. Cultivated land is still the land type with the most severe soil erosion

while grassland is the land type with the high sedimentation

due to its large area and low surface coverage.

关键词

Keywords

references

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