Field methods for rapidly characterizing paint waste during bridge rehabilitation

摘要: For Department of Transportation (DOT) agencies, bridge rehabilitation involving paint removal results in waste that is often managed as hazardous. Hence, an approach provides field characterization the classification would be beneficial. In this study, analysis variables critical to leaching process was conducted develop a predictive tool for classification. This first involved identifying mechanistic processes control leaching. Because steel grit used remove paint, elevated iron concentrations remain waste. As such, oxide coatings provide important surface metal adsorption. The diffuse layer model invoked (logKMe=4.65 Pb and logKMe=2.11 Cr), where 90% data were captured within 95% confidence level. Based on understanding along with principal component (PCA) obtained from field-portable X-ray fluorescence (FP-XRF), statistically-based models developed. Modeling resulted 96% falling level (R(2) 0.6-0.9, p ⩽ 0.04), Ba 0.5-0.7, 0.1), Zn 0.6-0.7, 0.08). However, regression Cr not significant 0.3-0.5, 0.75). work may assist DOT agencies applying addresses mobility trace metals well disposal management during rehabilitation.