Statistical Evaluation Methodology Sample Clauses

Statistical Evaluation Methodology. A statistical model was selected that would identify groups of stormwater outfalls basins with similar levels of contamination (by analyte) within the stormwater data set. The conceptual model for the evaluation is that there are three groups of outfall basins in the stormwater data set with similar characteristics (described below). The conceptual model used for the statistical evaluation assumes that those outfall basins falling into the higher concentration group warrant consideration for further source tracing activities. Statistical analysis was performed on selected stormwater analytes without consideration of the significance of the outfall basin concentration (i.e., greater than or less than applicable screening levels, background concentrations, etc.). Use of the full harborwide data set allowed stormwater concentrations in City outfall basins to be ranked and analyzed relative to other stormwater discharges to the Portland Harbor Study Area. City outfall basins with analyte concentrations in the upper range of the concentration distribution were identified for further evaluation of the need for source tracing. This approach provides the City a means to determine if additional source tracing may be warranted. It does not include evaluation of the inriver sediment data from the vicinity of City outfalls to determine if there is a complete pathway for upland contributions (e.g., an outfall may be identified for further source tracing even if there are no elevated sediment concentrations adjacent to the outfall).
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Related to Statistical Evaluation Methodology

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