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中国农学通报 ›› 2012, Vol. 28 ›› Issue (14): 229-233.doi: 10.11924/j.issn.1000-6850.2011-3303

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

伊犁河流域土壤Cu、Zn、Pb地球化学基线值估算与研究

邓睿 陈洪 程永毅 李忠意 特拉津?那斯尔   

  • 收稿日期:2011-11-08 修回日期:2011-12-19 出版日期:2012-05-15 发布日期:2012-05-15

Estimate and Study on the Soil Geochemical Baseline Value of Cu, Zn, Pb in Yili River Area

  • Received:2011-11-08 Revised:2011-12-19 Online:2012-05-15 Published:2012-05-15

摘要:

为了给伊犁河流域土壤提供判别自然或人为事件造成的环境扰动标准,通过对伊犁河流域土壤的系统采样分析,采用标准化方法(以Fe作为标准元素)估算伊犁河流域灰钙土、栗钙土、黑钙土、盐碱土4种不同土壤类型的Cu、Zn、Pb 3种金属元素的地球化学基线值。结果表明:同一种重金属元素的地球化学基线值有较大差异;其中,灰钙土中Cu、Zn、Pb的土壤地球化学基线值分别为51.2、77.3、25.7 mg/kg,栗钙土Cu、Zn、Pb分别为58.6、73.8、23.3 mg/kg;黑钙土Cu、Zn、Pb分别为53.1、62.7、41.7 mg/kg;盐碱土Cu、Zn、Pb分别为42.6、55.1、40.8 mg/kg。标准化方法能够较好地估算伊犁河流域土壤中Cu、Zn、Pb地球化学基线值,为了解地表环境污染及恶化程度、预测和监测全球变化效应与环境变化提供了基础。

关键词: 土地整理, 土地整理, 中部粮食主产区, 增量经济型, 关键技术, 评价, 研究框架

Abstract:

In order to provide discrimination standard for the Yili river basin soil caused by natural or man-made environmental disturbance, through systematic sampling and analysis of soil of this area, using standard method (Fe as standard element), the author estimated geochemical baseline values for heavy metal elements of Cu, Zn, Pb from 4 different types of soil include sierozem, kastanozem, chernozem and saline-alkali soil in Yili river area, respectively. The results indicated that geochemical baseline values of the same heavy metal element was very different, this might be caused by soil parent materials, soil forming process, human activities, and so on. The geochemical baselines of heavy metal elements Cu, Zn, Pb were 51.2 mg/kg, 77.3 mg/kg, 25.7 mg/kg in sierozem soil, 58.6 mg/kg, 73.8 mg/kg, 23.3 mg/kg in kastanozem soil, 53.1 mg/kg, 62.7 mg/kg, 41.7 mg/kg in chernozem and 42.6 mg/kg, 55.1 mg/kg, 40.8 mg/kg in saline-alkali soil. Stardard method could preferably estimate the geochemical baseline values for heavy metal elements of Cu, Zn, Pb in soils of Yili river area, that could provide a basal understanding for the environmental pollution and degradation of the surface, forecasting and monitoring of global change effects and environmental changes.