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Identifying Outliers in Correlated Water Quality Data
Publisher: American Society of Civil Engineers
Abstract: Evaluating water quality data for outliers is a good quality control/quality assessment procedure whether the data are used for monitoring or for modeling. Often water quality data are correlated, e.g., carbonaceous ...
Application of Two-Directional Time Series Models to Replace Missing Data
Publisher: American Society of Civil Engineers
Abstract: Missing data commonly exist in operational records of wastewater treatment plants, such as influent and effluent water quality data. To deal with missing data, time series models that characterize trend, lag, and seasonality ...
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