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The presence of censored observations (non-detected) in stormwater quality data sets has been considered a serious concern because they bias the estimation of the mean and variance of stormwater constituents. It was observed that ignoring the non-detected observations could increase the apparent event mean concentration (EMC). Another commonly used approach is to replace the censored values by half of the detection limit, but it is not clear if this approach is valid in many cases. The primary goal of this research was to evaluate different methods of estimating the non-detected observations in datasets with multiple levels of censoring, using the National Stormwater Quality Database (NSQD).

Document Type: Research Article


Publication date: 2005-01-01

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  • Proceedings of the Water Environment Federation is an archive of papers published in the proceedings of the annual Water Environment Federation® Technical Exhibition and Conference (WEFTEC® ) and specialty conferences held since the year 2000. These proceedings are not peer reviewed.

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