Heavy Metals, Chemical Pollution, and Hidden Clues: Decoding Lake Maurepas.

ABSTRACT: This study provides the first comprehensive assessment of toxic chemicals and heavy metals (HMs) in Lake Maurepas, introducing an innovative approach that integrates the Bayesian spatiotemporal multivariate receptor model (BSMRM) with event response and causality analysis (ERCA). This framework quantitatively evaluates pollutant sources and drivers while identifying high-risk zones across water sampling sites. Using ERCA, we investigated the influence of environmental and anthropogenic factors on the spatiotemporal distribution of sources in the water column. Temporal clustering revealed four distinct source behaviors aligning with anomaly detection, linked to events near river mouths and Pass Manchac. Among the sources, transportation-recreational-accidental release (TRAR) was the most se

SUBMITTER: Rahman MA 

PROVIDER: S-EPMC12368730 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature