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Grounded in Groundwater Statistics

机译:在地下水统计数据

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In 2017, many power agencies implemented various statistical methods to help them comply with the Environmental Protection Agency’s Hazardous and Solid Waste Management System; Disposal of Coal Combustion Residuals from Electric Utilities; Final Rule. With the passing of the January 30, 2018 deadline for active impoundments to submit results from the detection monitoring rounds and issuing of public notices of Statistically Significant Increases (SSI) of Appendix III constituents over background concentration levels, many CCR Unit facilities with noted SSI’s have completed or are in the process of completing the statistical evaluation of Appendix IV and III constituents for assessment monitoring and possibly corrective actions or closure. The groundwater sampling and analysis requirements of Parts 257.95, 297.98, and 257.102 form critical steps in the compliance process; however, the implementation is challenging since the language in subsections 257.95 (e),(f),(g),(h), 257.98 (1),(2), and 257.102(c) does not clearly spell out what statistical tests to use for determining SSIs over background and statistically significant levels (SSL) over groundwater protection standards (GWPS). The purpose of this paper is to breakdown the language in these parts in understandable terms and demonstrate correct structures for hypothesis testing for SSIs over background and SSLs over GWPS. The paper will use examples to help practitioners apply the correct hypothesis framework using well- established test statistics such as the upper prediction limits, upper and lower confidence limits, and upper tolerance limits. In doing so, they will have confidence that their statistical test results appropriately determine whether the CCR unit can remain in assessment monitoring, return to detection monitoring or be required to assess corrective measures to remedy the identified releases.
机译:2017年,许多权力机构实施了各种统计方法,以帮助他们遵守环保局的危险和固体废物管理系统;从电力公用事业中处理煤炭燃烧残余物;最终规则。随着2018年1月30日的通过,积极蓄水截止日期,从检测监测回合提交结果,以及在背景集中级别的附录III成分的统计上显着增加(SSI)的公开通知,许多CCR单位设施与SSI指出完成或正在完成课程IV和III成分的统计评估,以进行评估监测和可能纠正措施或关闭。部分257.95,297.98和257.102部分的地下水采样和分析要求在合规过程中形成关键步骤;然而,由于第257.95(E),(F),(G),(H),257.98(H),257.98(H),(2)和257.102(c)小节中的语言并没有明确阐明什么统计测试用于在地下水保护标准(GWPS)上使用背景和统计学显着的水平(SSL)来确定SSIS。本文的目的是以可理解的术语中这些部件中的语言分解语言,并展示SSIS在GWP上的SSIS对SSIS的假设测试的正确结构。本文将使用例子来帮助从业者使用诸如上预测限制,上下置信限制等良好的测试统计数据来应用正确的假设框架,以及上下置信限制和上部容差限制。在这样做时,他们将有信心,他们的统计测试结果适当地确定CCR单元是否可以保持评估监测,返回检测监测或被要求评估纠正措施以补救所识别的释放。

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