title: Impact of non-detects in water quality data on estimation of constituent mass loading.
abstract: Often, fractions of stormwater constituents are not detected above laboratory reporting limits and are reported as non-detect (ND), or censored data. Analysts and stormwater modelers represent these NDs in stormwater data sets using a variety of methods. Application of these different methods results in different estimates of constituent mean concentrations that will, in turn, affect mass loading computations. In this paper, different methods of data analysis were introduced to determine constituent mean concentrations from water quality datasets that include ND values. Depending on the number of NDs and the method of data analysis, differences ranging from 1 to 70 percent have been observed in mean values. Differences in mean values were, as shown by simulation, found to have significant impacts on estimations of constituent mass loading.
authors.affiliation: Center for Environmental and Water Resources Engineering, Department of Civil and Environmental Engineering, University of California, Davis 95616, USA.
authors.forename: M
authors.initials: M
authors.lastname: Kayhanian
authors.forename: A
authors.initials: A
authors.lastname: Singh
authors.forename: S
authors.initials: S
authors.lastname: Meyer
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D011891:Rain; D012016:Reference Values; D012680:Sensitivity and Specificity; D014872:Water Movements; D014873:Water Pollutants / Q000032:analysis*
chemical_list: D014873:Water Pollutants