Cautions on the treatment of non-detect results for environmental forensics

ABSTRACT While censored data (i.e., containing non-detect [ND] results) may provide useful information in the context of risk assessment, their utility in chemical forensics is less clear. Substitution of NDs can create invasive patterns and may obscure the true forensic features in the underlying chemistry and sample compositions. The effect of substituting numeric values for NDs on the results of common chemical forensics multivariate analyses is illustrated using synthetic simulated data and laboratory measurements of soil samples from Colorado. The analyses of simulated and laboratory data demonstrate the impact of substituting values for NDs on multivariate analyses and indicate the potential for incorrect conclusions about the true forensic features within the data. Recommendations are provided for how to investigate and visualize the impact of NDs on chemical forensic multivariate analyses.

[1]  David S. Page,et al.  Advances in forensic techniques for petroleum hydrocarbons: The Exxon Valdez experience , 2007 .

[2]  Dennis R. Helsel,et al.  Statistics for Censored Environmental Data Using Minitab and R , 2012 .

[3]  Ashutosh Kumar Singh,et al.  Treatment of nondetects in multivariate analysis of groundwater geochemistry data , 2002 .

[4]  D. Helsel Nondetects and data analysis : statistics for censored environmental data , 2005 .

[5]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[6]  L. Haws,et al.  A review of background dioxin concentrations in urban/suburban and rural soils across the United States: implications for site assessments and the establishment of soil cleanup levels. , 2014, The Science of the total environment.

[7]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[8]  R. O N A L,et al.  Evaluation of Statistical Treatments of Left-Censored Environmental Data using Coincident Uncensored Data Sets : I . Summary Statistics , 2008 .

[9]  R. Antweiler Evaluation of Statistical Treatments of Left-Censored Environmental Data Using Coincident Uncensored Data Sets. II. Group Comparisons. , 2015, Environmental science & technology.

[10]  Paul Jones,et al.  Distribution of PCDDs and PCDFs in Soils Collected from the Denver Front Range - Principal Components Analysis of Diffuse Dioxin Sources (10 pp) , 2005, Environmental science and pollution research international.