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首页> 外文会议>Annual national meeting American Society for Surface Mining and Reclamation >A REVIEW OF MINESOIL SAMPLING AND SPATIAL VARIABILITY IN TEXAS
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A REVIEW OF MINESOIL SAMPLING AND SPATIAL VARIABILITY IN TEXAS

机译：德克萨斯州Mineoil采样和空间变异性综述

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Accurate characterization of minesoil overburden constituents associated with strip mining is an important part of the pre- and post-mine regulatory process. Characterization of soil material requires sampling of some kind, which implies that 1) the sample material selected must be representative of the area to be characterized and 2) the sample volume (support), size (number of samples), and pattern must be able to support a reasonable decision making process. Therefore, the end use (baseline information, monitoring, or remediation) of this information should dictate the sampling approach; which in turn, is based on the decision to be made and the amount of uncertainty that is allowable. Uncertainties and errors are an integral part of the sampling, laboratory analysis, and spatial characterization processes, arising at each stage. Mathematical approaches such as sampling theory & practice and geostatistics can quantify the amount of error or uncertainty associated with the various stages of sampling, analysis and characterization, as well as distinguishing sampling errors from laboratory errors. These statistical tools can be used to manage errors and uncertainties at each stage of the process, providing confidence to 1) regulatory agencies that compliance has been achieved and 2) mining companies that unnecessary remedial costs will not be incurred. Statistical tools provide a framework for characterizing the wide variety of minesoil constituents and conditions encountered in mine operations. The use of statistically-defined monitoring or remedial decision units of a given area, for example, 5.7-acre grids in Texas, are shown to be consistent with the United States Protection Agency's long-standing guidelines and recommendations for remedial activities. Site-specific variability must always be taken into account when designing a sampling program and caution is recommended in the selection of sampling methods (i.e. compositing versus discrete samples).
机译：条带开采相关minesoil覆土成分的精确表征是前置和后置矿监管过程中的一个重要组成部分。土材料的表征需要某种，这意味着1）所选的材料必须是代表该区域的样品材料进行表征和2）样品体积（支撑体），大小（样本数），和图案必须能够的采样支持合理的决策过程。因此，端部使用本信息（基线信息，监测或修复）应决定了采样的方法;这又是基于要做出的决定，这是允许的不确定性的量。不确定性和误差采样，实验室分析和空间特性的过程，在每个阶段所产生的一个组成部分。数学方法，如抽样理论与实践，地质统计学可以量化误差或取样，分析和表征的不同阶段相关的不确定性的量，以及来自实验室误差区分抽样误差。这些统计工具可以用来在过程的每个阶段，管理错误和不确定性，以1提供信心）的监管机构，遵守已经达到，2）矿业公司不必要的补课费也不会发生。统计工具为表征各种各样的矿井作业中遇到minesoil成分和条件的框架。使用统计定义监控或某一地区的补救决策单位的，例如，在得克萨斯州的5.7英亩的网格，被证明是与美国环境保护署的长期指导方针和补救活动的建议一致。设计一个采样程序时的位点特异性变异必须始终考虑和谨慎在采样方法（即合成与离散样本）的选择推荐。

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