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CLU-IN Studio
United States Environmental Protection Agency
ProUCL Webinar Part II
Sponsored by: USEPA ORD Site Characterization and Monitoring Technical Support Center (SCMTSC)
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Presentation Overview:

Peer-reviewed EPA software, ProUCL has been developed to address statistical and data analytic needs of environmental projects originating from the various CERCLA and RCRA site investigations. ProUCL can be downloaded from the EPA website:

The focus of ProUCL Webinar Part II will be to make the participants familiar with the graphical and statistical methods available in ProUCL to: perform site versus background comparisons; estimate background threshold values (BTVs) and site-specific cleanup levels; compare multiple populations and perform inter-well comparisons using ANOVA; identify trends in groundwater monitoring applications; and verify the attainment of cleanup standards. Data sets consisting of nondetects will be used to illustrate statistical methods for left-censored data sets. Participants will learn how to interpret statistical results produced by ProUCL and derive conclusions based upon those results.

A case study using a real data set from a Superfund site will be used to demonstrate the use of ProUCL to establish background data sets and estimate BTVs. Real data sets from participants' projects will also be considered to address statistical issues encountered in environmental applications. The participants may send their data sets in advance.

Who Should Attend
This webinar will be useful for regulators, environmental scientists and practitioners, site owners/operators, consultants and contractors who use or want to use statistics to do their work.

Outline (all times EST)

  • 1:00-1:10 (Felicia Barnett)
    Welcome and Introduction
  • 1:10-1:45 (Anita Singh)
    Parametric and nonparametric single sample and two sample hypotheses tests for data sets with and without nondetect observations. Oneway ANOVA to compare contaminant concentrations of more than two groups (e.g., areas of concern, groundwater monitoring wells)
  • 1:45-2:15 (Anita Singh)
    Computation of Upper Percentiles, Upper Prediction Limits (UPLs), and Upper Tolerance Limits (UTLs) used to estimate Background Threshold Values (BTVs)
  • 2:15-2:25
  • 2:25-2:55 (Anita Singh)
    Mann-Kendall and Theil-Sen trend tests used to identify trends in contaminant concentrations; Ordinary Least Squares (OLS) Regression; and Time Series Plots
  • 2:55-3:15 (Anita Singh)
    Statistical methods for data sets with nondetect observations
  • 3:15-3:45 (Nancy Rios Jafolla)
    Case study using a real data set from a Superfund site demonstrating the use of the various modules of ProUCL to evaluate background data sets and establish site-specific BTVs.
  • 3:45-4:00
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