Bioavailability models, for example, multiple linear regressions (MLRs) of water quality
parameters, are increasingly being used to develop bioavailability‐based water quality …

Multiple linear regression (MLR) models were developed for predicting chronic zinc toxicity
to a freshwater microalga, Chlorella sp., using three toxicity‐modifying factors (TMFs): pH …

Bioavailability models predicting acute and/or chronic zinc toxicity to a green alga
(Pseudokirchneriella subcapitata), a crustacean (Daphnia magna), and a fish …

Bioavailability‐based approaches have been developed for the regulation of metals in
freshwaters in several countries. Empirical multiple linear regression (MLR) models have …

Multiple linear regression (MLR) models for predicting zinc (Zn) toxicity to freshwater
organisms were developed based on three toxicity‐modifying factors: dissolved organic …

There has been an increased emphasis on incorporating bioavailability‐based approaches
into freshwater guideline value derivations for metals in the Australian and New Zealand …

The importance of explicitly considering bioavailability of metals in the risk assessment and
the development of water quality criteria has been demonstrated scientifically (Allen and …

Ambient concentrations of metals in surface waters have become an important consideration
when establishing water quality criteria and conducting risk assessments. This study sought …

Abstract The United States Environmental Protection Agency's (US EPA) current ambient
water quality criteria (AWQC) for zinc in freshwater are hardness‐based and were last …

Species sensitivity distributions (SSDs) are used in ecological risk assessment to derive
maximum acceptable concentrations of toxicants in the environment from a limited set of …