Assessing Remediation Effectiveness
D2. Big Data, Data Mining, and Portfolio Optimization
Presentation Title | Author List | Format | Abstract or Paper PDF | Presentation PDF |
| Combining ERH and TCH for More Effective Remediation: Don't Restrict Your ROD or RFP to a Single Heating Technology | G. Heron, J. Galligan, M. Dodson, and R. Flatley | Platform | View | View |
| A Dirty Secret: Duplicate Variability in Summa Canister Samples for Vapor Intrusion Investigations | T. McHugh, C. Villarreal, S. Rauch, and L. Beckley | Platform | View | View |
| Applications of R Software and Machine Learning to Groundwater Data | D. Bytautas, T. Kalinowski, T. Abdul-Matin, M. Panciera, and L. Hellerich | Platform | View | |
| Over Twenty Years of 1,4-Dioxane Data at Multiple Sites: What Really Happens Long Term? | B. Dahlgren | Platform | View | View |
| Tracking Cleanup of Chlorinated Solvents: Development of Benchmark Decay Rates | K.L. Walker, T.M. McGuire, D.T. Adamson, and C.J. Newell | Platform | View | View |
| Two "Flavors" of Big Data Studies in the Remediation Field: Methods and Example Applications | P. Kulkarni, C. Newell, T. McGuire, T. McHugh, J. McDade, and D. Adamson | Poster | View | |
| EnviMetric: Findings from a Machine Learning Approach to Planning Site Characterization | J. Dalton and A. Harrington | Poster | View |