Industrial deep-sea mining will release plumes containing metals that may disperse over
long distances; however, there is no general understanding of metal effects on marine …

Cu pollution is a global concern because of its high toxicity and persistence. Few
investigations have been conducted on the effects of salinity and dissolved organic carbon …

We developed multiple linear regression (MLR) models for predicting iron (Fe) toxicity to
aquatic organisms for use in deriving site‐specific water quality guidelines (WQGs). The …

In 2007, the USEPA issued its “Framework for Metals Risk Assessment.” The framework
provides technical guidance to risk assessors and regulators when performing human …

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

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 …

Environmental context Having appropriate and robust models used for developing water
quality guidelines is critical for sound environmental management. Methods used to validate …

This study investigated the usability of different vegetable oils as solvents for separating
citric, malic, and glycolic acids from aqueous solutions by reactive extraction method. A …

Biotic ligand models (BLMs) and the sensitivities of indigenous species are used to assess
the environmental risk considering the bioavailability of metals, such as nickel. However, the …

A robust description of the bioavailability of Ni (II) in freshwaters is fundamental for the
setting of environmental quality standards. Current approaches assume that bioavailability is …