地理研究 ›› 1987, Vol. 6 ›› Issue (2): 70-79.doi: 10.11821/yj1987020009

• 研究报告 • 上一篇    下一篇

北京地区河流沉积物的金属元素背景值研究

杨惟理   

  1. 中国科学院、国家计划委员会地理研究所
  • 收稿日期:1985-12-28 修回日期:1986-06-12 出版日期:1987-06-15 发布日期:1987-06-15

BACKGROUND VALUES OF METAL ELEMENTS IN RIVER SEDIMENTS WITHIN THE BEIJING AREA

Yang Weili   

  1. The Institute of Geography. Chinese Academy of Sciences and State Planning Commission of the People's Republic of China
  • Received:1985-12-28 Revised:1986-06-12 Online:1987-06-15 Published:1987-06-15

摘要: 本文检验,表征了北京地区河流沉积物的金属元素背景值。并应用多元分析法探讨了金属元素背景值的地球化学活动性、相关组合、区域差异等地球化学特征以以环境要素对形成背景值的影响。

关键词: 沉积物, 金属元素背景值, 主因子分析, 北京

Abstract: The research on background values of metals in the river sediments is a basic work for the impact assessment In the aquatic system.Total Cu, Ph., Zn, Cd, Ti, Fe, Ma, Ni, Ca, Cr, Hg were extracted bydigesting 1-2 gram of air-dry sediments in aqua regia-HP-HClO4, HNO3-H2SO4-HF, HNO3,H2SO4-V2O5 and analyzed by the flameless atomic absorption CWFD-1/2) and atomic absorption flame emissio-spectrophotometer (A-A-640B) and cold atomic absorption (CG-1). In this paper, D the numbers of necessary samples of Cu, Pb, Zn, Cd, Gr, Hg in river sediments of the area for a given level of statistical certainty were computed. 2) The distribution types of background values of metals were determined by vestelivs statistic method, the background values of metals in the river sediments were computed.3)The eocrelation coefficients and step-wise regression and factor analysis on the chemical composition data in the sediments were performed by a computer.The correlation between the metals was discussed. 4) Background contents of metals in river sediments were compared with those in rocks and soils in this afea.The results showed the background values of metals in river sediments in the area are in normal rangea.The distribution of backvaluea and correlation and translation of the petals in this area are dominantly effected by regional geology and hydrogenetic geochemistry.

Key words: background values of metal sediments, correlation coefficients, stepwise regression, factor analysis