• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Predicting partitioning of cadmium, copper, lead, nickel, zinc, and soil organic matter in soil solution from soil parameters.
【24h】

Predicting partitioning of cadmium, copper, lead, nickel, zinc, and soil organic matter in soil solution from soil parameters.

机译：根据土壤参数预测土壤溶液中镉，铜，铅，镍，锌和土壤有机质的分配。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study constructs models to predict the distribution of Cd, Cu, Pb, Ni, Zn, and soil organic matter (SOM) between solid phases and solution phase in soil systems. The models emphasize prediction of metals that may ultimately become available to soil organisms. The characterization of metal species in a natural system is crucial for forming standards, criteria, and risk assessment policies. Forty-one widely varying soils were collected from around the world. These soils were extensively characterized in order to consider as many variables as possible for predictive model construction. Preliminary research focused on the selection of a facile, efficient chemical extraction that would include measures of soil metal intensity and capacity. The need to describe the plant availability of a certain soil system drove the search for a suitable extractant. Minimization of model independent variables was another key in model formulation. A dilute 0.01 M HCl extraction was employed because of its simplicity, relation to plant concentrations of the metals studied, and sensitivity towards soil acid neutralization capacity. In any perpetually dynamic system such as soil, the resistance to change in pH will play an important role in the plant availability of metals. Plant root proton release into the root microenvironment may be easily neutralized by soils with a high CaCO3 content, thus reducing plant available metal. Models describing the distribution of metals from soil to solid phase were then constructed based on a few easily measured soil parameters. Soil pH, 0.01 M HCl extraction equilibrium pH, percent organic matter, total recoverable metal, and 0.01 M HCl extract metal adequately described the distribution of the metals studied within an order of magnitude. Efforts then focused on the characterization of soil organic matter and the effects of the distribution of soil organic matter on the distribution of metals. For some metals, such as Cu, soil organic matter plays a dominant role in the behavior of the metal in environmental systems.
机译：本研究构建模型来预测土壤系统中固相和固溶相之间的镉，铜，铅，镍，锌和土壤有机质（SOM）的分布。这些模型强调了对金属最终可能对土壤生物可用的金属的预测。自然系统中金属物种的表征对于制定标准，标准和风险评估政策至关重要。从世界各地收集了41种广泛变化的土壤。对这些土壤进行了广泛表征，以便为预测模型构建考虑尽可能多的变量。初步研究的重点是选择一种便捷而有效的化学提取方法，其中包括对土壤金属强度和容量的测量。描述某种土壤系统的植物可用性的需求促使寻找合适的提取剂。模型独立变量的最小化是模型制定的另一个关键。由于其简单性，与所研究金属的植物浓度的关系以及对土壤酸中和能力的敏感性，因此采用了稀释的0.01 M HCl萃取液。在任何永久性的动态系统（例如土壤）中，pH值变化的抵抗力将在植物的金属利用率中发挥重要作用。 CaCO3含量高的土壤很容易将植物根质子释放到根微环境中，从而减少了植物中可利用的金属。然后根据一些易于测量的土壤参数，建立了描述金属从土壤到固相分布的模型。土壤pH，0.01 M HCl萃取平衡pH，有机物百分比，总可回收金属和0.01 M HCl萃取金属充分描述了所研究金属在一个数量级内的分布。然后，工作重点集中在土壤有机质的表征以及土壤有机质分布对金属分布的影响上。对于某些金属，例如铜，土壤有机质在环境系统中的金属行为中起主要作用。

著录项

  • 作者

    Impellitteri, Christopher Allen.;

  • 作者单位

    University of Delaware.;

  • 授予单位 University of Delaware.;
  • 学科 Engineering Environmental.; Agriculture Soil Science.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;土壤学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号