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Evaluating Environmental Remediation Performance at Radwaste Sites Using Multiple, Censored Regression Analysis - 19348: SGW-62840-FP, REV. 0

机译:使用多元审查的回归分析评估Radwast站点的环境修复性能 - 19348:SGW-62840-FP,Rev。 0.

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Located on the U.S. Department of Energy's Hanford Site in Richland, Washington, the 300 Area's remediation performance monitoring requires assessment of concentration trends and calculation of means and lower and upper confidence limits on the mean. The performance monitoring wells for uranium are located within 400 m of the Columbia River and groundwater elevations and uranium concentrations are influenced by groundwater-surface water interactions. A multiple regression approach was used to assess trends because multiple covariates can be used to account for the observed fluctuations in groundwater elevation and concentration. Incorporation of covariates accounting for these groundwater-surface water interactions (i.e., river stage) reduces the random error in the trend estimation and improves the estimates of remediation performance metrics (i.e., mean and confidence limits on the mean) over traditional, non-parametric methods.
机译:位于华盛顿富国的美国能源部汉福德网站,300区的修复绩效监测需要评估浓度趋势和计算手段和下降和上部置信范围。铀的性能监测井位于哥伦比亚河的400米范围内,地下水升高和铀浓浓度受地下水位水相互作用的影响。多元回归方法用于评估趋势,因为可以使用多个协变量来解释地下水高度和浓度的观察波动。结合协变量核算这些地下水表面水相互作用(即河流阶段)减少了趋势估计中的随机误差,并改善了传统非参数上的修复绩效指标(即平均值的均值和置信度)的估计方法。

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