Modeling Nonlinear Adsorption with a Single Chemical Parameter: Predicting Chemical Median Langmuir Binding Constants

A Review of Mechanistic Models for Predicting Adverse Effects in Sediment Toxicity Testing

Since recognizing the importance of bioavailability for understanding the toxicity of chemicals in sediments, mechanistic modeling has advanced over the last 40 years by building better tools for estimating exposure and making predictions of probable adverse effects. Our review provides an up-to-date survey of the status of mechanistic modeling in contaminated sediment toxicity assessments. Relative to exposure, advances have been most substantial for non-ionic organic contaminants (NOCs) and divalent cationic metals, with several equilibrium partitioning-based (Eq-P) models having been developed. This has included the use of Abraham equations to estimate partition coefficients for environmental media. As a result of the complexity of their partitioning behavior, progress has been less substantial for ionic/polar organic contaminants. When the EqP-based estimates of exposure and bioavailability are combined with water-only effects measurements, predictions of sediment toxicity can be successfully made for NOCs and selected metals. Both species sensitivity distributions and toxicokinetic and toxicodynamic models are increasingly being applied to better predict contaminated sediment toxicity. Furthermore, for some classes of contaminants, such as polycyclic aromatic hydrocarbons, adverse effects can be modeled as mixtures, making the models useful in real-world applications, where contaminants seldomly occur individually. Despite the impressive advances in the development and application of mechanistic models to predict sediment toxicity, several critical research needs remain to be addressed. These needs and others represent the next frontier in the continuing development and application of mechanistic models for informing environmental scientists, managers, and decisions makers of the risks associated with contaminated sediments. Environ Toxicol Chem 2024;43:1778-1794. © 2023 SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Review of Polycyclic Aromatic Hydrocarbons (PAHs) Sediment Quality Guidelines for the Protection of Benthic Life

Polycyclic aromatic hydrocarbons (PAHs) in sediments can pose harm to the benthic community. Numerous sediment quality guidelines (SQGs) for the protection of benthic life are available to assess the risk of individual PAHs and PAH mixtures in sediments. Sediment quality guidelines are derived using empirical or mechanistic approaches. Empirically based guidelines are derived using databases of paired sediment chemistry and biological responses and relating sediment concentration to the frequency of an adverse response. Mechanistically based SQGs are derived by considering the inherent aqueous toxicity of the chemical to different biota coupled with site-specific sediment characteristics (i.e., organic C) known to influence PAH bioavailability. Additionally, SQGs are derived to be either protective or predictive of adverse effects in benthic organisms. The objective of this critical review was to evaluate SQGs for use in screening-level risk assessments to identify sediments that may pose a risk to the benthic community. SQGs for PAHs were compiled and compared, and performance evaluated for predicting the presence and absence of toxicity using an extensive field data set. Furthermore, a 2-carbon equilibrium partitioning model and direct measurement of porewater via passive sampling were evaluated for improved performance in higher tiered risk assessments. Recommendations for the use of SQGs in screening evaluations, enhancements to current approaches, and opportunities to refine site risk estimate assessments using passive sampling measurements are discussed. Integr Environ Assess Manag 2019;15:505-518. © 2019 SETAC.