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Spatial analysis of reconstructed mine soils: Soil survey, statistical modeling and terrain analysis for land resource inventory.

机译:重建矿井土壤的空间分析:土壤调查,统计模型和土地资源清单的地形分析。

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摘要

Mining companies and regulatory agencies need clearly defined methods by which sample data of reconstructed mine soils can be interpolated to determine soil spatial variability and suitability for reclamation. Objectives of this study were to examine the distribution of reconstructed mine soils from several perspectives: soil survey, spatial statistics, and terrain modeling. Mine soils, in this context, provided a special case for a larger discussion of soil resource inventory in general.;Initially, mine soils at the Rosebud Mine in Colstrip, Montana were mapped using standard soil survey procedures. Reconstructed mine soils are uniquely different from their native counterparts. They provide a uniformly deep soil substrate for plant roots and have been largely homogenized by soil salvaging. Erratic spatial variations in soil textures are the result of mixed sedimentary parent materials and the reclamation process.;Spatial statistics were used to assess the spatial distribution of mine soil attributes from data collected by Western Energy Company. Soil attributes, in all cases, were spatially independent at the 300 foot sample spacing used at the mine. Kriging was deemed unwarranted due to spatial independence of the data and more traditional statistical methods that rely on independent data assumptions were used to interpolate the data. For many soil properties, a constant surface through the overall sample mean provided the best prediction at unsampled locations.;Initial results were tested further using data collected exclusively for application of spatial statistics. Closer grid spacing resulted in semivariograms exhibiting weak to moderate spatial dependence for subsoil attributes. Despite the empirical evidence of spatial correlations, kriging estimates did not outperform use of the field mean in predicting measured values of an independent data set. Knowledge about the physical processes controlling spatial distributions of soil properties appears to be an important, yet often overlooked, consideration in decisions about the appropriateness of applying kriging techniques.;Terrain models provide a unique vantage point to study how mine soils and reconstructed landscapes will evolve in the future. A terrain model generated for the Area-E portion of the Rosebud Mine provides the basis for discussion of changes that are certain to occur in the reclamation resource.
机译:矿业公司和监管机构需要明确定义的方法,通过这些方法可以对重建的矿山土壤的样本数据进行插值,以确定土壤的空间变异性和开垦的适用性。这项研究的目的是从几个角度检查重建矿山土壤的分布:土壤调查,空间统计和地形模型。在这种情况下,矿山土壤为一般性的土壤资源清单的更大讨论提供了特殊案例。最初,蒙塔纳州科尔斯trip的玫瑰花蕾矿山的土壤是使用标准土壤调查程序绘制的。重建的矿土与本地土有独特的区别。它们为植物根部提供了均匀深层的土壤基质,并且通过土壤修复在很大程度上被均化了。土壤质地的空间变异性是沉积母质混合和开垦过程的结果。空间统计用于根据Western Energy Company收集的数据评估矿土属性的空间分布。在所有情况下,土壤属性在矿井使用的300英尺样本间距处在空间上都是独立的。由于数据的空间独立性,克里金法被认为是不必要的,更依赖于独立数据假设的传统统计方法被用来对数据进行插值。对于许多土壤属性,整个样本均值的恒定表面在未采样的位置提供了最佳的预测。初始结果使用专门用于空间统计的数据进行了进一步测试。较近的网格间距导致半变异函数对地下土壤属性表现出弱到中等的空间依赖性。尽管有空间相关性的经验证据,但克里金法估计值在预测独立数据集的测量值时并没有超过使用场均值。有关控制土壤特性空间分布的物理过程的知识似乎是在决定采用克里金技术的适当性时要考虑的重要但经常被忽视的因素。地形模型提供了一个独特的优势来研究矿山土壤和重建景观的演变在将来。为玫瑰花蕾矿的Area-E部分生成的地形模型为讨论必然在填海资源中发生的变化提供了基础。

著录项

  • 作者

    Keck, Thomas James.;

  • 作者单位

    Montana State University.;

  • 授予单位 Montana State University.;
  • 学科 Agriculture Soil Science.;Environmental Sciences.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 242 p.
  • 总页数 242
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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