Spatial and Temporal Analysis, and Machine Learning-Based Prediction of PCB Water Concentrations in U.S. Natural Water Systems.

ABSTRACT: Data on dissolved phase water concentrations of polychlorinated biphenyls (PCBs) from 32 locations across the U.S. were compiled from reports, Web sites, and peer-reviewed papers, spanning 1979-2020, resulting in 5132 individual samples. Data wrangling enabled the organization and analysis of this extensive data set. Most samples originated from PCB Superfund sites like the Fox, Hudson, and Kalamazoo rivers, New Bedford Harbor, and Lake Michigan. ΣPCB concentrations ranged from 10°-10^7.3 pg/L, while individual congener medians ranged from nondetected to 380 pg/L. Non-Aroclor congeners, e.g., PCBs 11, 67, and 68, were also reported. Using a machine learning technique, a Random Forest model accurately predicted the temporal and spatial occurrence of dissolved PCBs, achieving Pears

SUBMITTER: Martinez A 

PROVIDER: S-EPMC11731268 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature