Related Experiment Video
Updated: Jun 2, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
An updated unified zinc biotic ligand model for protection of freshwater aquatic life and its application for
Adam C Ryan1, Robert C Santore2, Kenneth C Schiff3
1International Zinc Association, Durham, NC, United States.
Abstract:
A unified biotic ligand model (BLM) was developed to predict acute Zn toxicity to four invertebrates and two fish, and chronic toxicity to three invertebrates and one fish. Developed using a comprehensive ecotoxicity database, this unified BLM represents the first update to the unified Zn BLM in nearly 14 years. For comparative purposes, a unified Zn multiple linear regression model was also developed. Both models are unified because they each use a single set of parameters to characterize the effects of toxicity modifying factors (e.g., pH, dissolved organic carbon [DOC], and major ions) on acute and chronic Zn toxicity. While both models were capable of accurately predicting Zn toxicity, the unified BLM performed marginally better based on quantitative model performance scores and qualitative single-variable pH and DOC evaluations. The unified Zn BLM, which also performed better than the USEPA's hardness equation, was then used to normalize separate acute and chronic species sensitivity distributions to develop acute and chronic 5th percentile hazardous concentrations analogous to the USEPA's aquatic life ambient water quality criteria (WQC). The unified Zn BLM-based WQC were shown to be protective of threatened and endangered species in California and appear to be protective of chemosensory endpoints for salmonids. Using monitoring data for California as a test case, chronic unified BLM-based WQC were lower than hardness-based WQC in 77% of samples, yet fewer WQC exceedances were observed. Implementation of the Zn BLM for site-specific water quality objectives (SSWQOs) using the fixed monitoring benchmark approach indicates that for the California dataset, dry weather and wet weather samples should be considered separately to develop SSWQOs for each condition.
More Related Videos
04:54Assessing Mineral Availability in Fish Feeds using Complementary Methods Demonstrated with the Example of Zinc in Atlantic Salmon
Published on: October 29, 2021
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Related Concept Videos
Quality of Water
Modeling and Similitude
Typical Model Studies
Growth Models with Integration: Problem Solving
Microbial Wastewater Treatment