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The application of a statistical trend analysis program to ground-water quality monitoring data from eight western Michigan solid waste landfills.

机译:统计趋势分析程序在密歇根州西部8个固体垃圾填埋场的地下水水质监测数据中的应用。

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摘要

A statistical analysis and interpretation of ground-water chemistry data from eight landfills in Western Michigan was performed. Data were collected over approximately the past ten years, pursuant to the requirements of Michigan's Solid Waste Management Act. A statistical regression model was used to reduce the data to identifiable trends and estimated magnitudes. These results were analyzed with respect to each landfill's characteristics and hydrogeological setting. Comparisons were made concerning the landfills' relative potential for environmental harm. Also, the effectiveness and applicability of this model to the analysis of ground-water monitoring data was assessed.;It was concluded that this analysis and categorization of landfills provides an efficient method of reducing large amounts of ground-water monitoring data to a summary of trends and magnitudes which can be easily evaluated. It provides a formal methodology by which rational decisions concerning future site management can be made.
机译:对密歇根州西部八个垃圾填埋场的地下水化学数据进行了统计分析和解释。根据《密歇根州固体废物管理法案》的要求,大约在过去十年中收集了数据。使用统计回归模型将数据减少到可识别的趋势和估计的幅度。针对每个垃圾填埋场的特征和水文地质环境分析了这些结果。对垃圾填埋场对环境造成危害的相对潜力进行了比较。此外,还评估了该模型对地下水监测数据分析的有效性和适用性。结论是,这种垃圾填埋场的分析和分类为减少大量地下水监测数据提供了一种有效的方法。趋势和幅度,可以轻松评估。它提供了一种正式的方法,通过该方法可以做出有关未来站点管理的合理决策。

著录项

  • 作者

    Lachance, Amy DeCosta.;

  • 作者单位

    Western Michigan University.;

  • 授予单位 Western Michigan University.;
  • 学科 Geology.;Engineering Sanitary and Municipal.;Statistics.;Environmental Sciences.
  • 学位 M.S.
  • 年度 1992
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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