Effect Modeling Quantifies the Difference Between the Toxicity of Average Pesticide Concentrations and Time-Variable Exposures from Water Quality Monitoring

Environ Toxicol Chem. 2020 Nov;39(11):2158-2168. doi: 10.1002/etc.4838. Epub 2020 Sep 8.

Abstract

Synthetic chemicals are frequently detected in water bodies, and their concentrations vary over time. Water monitoring programs typically employ either a sequence of grab samples or continuous sampling, followed by chemical analysis. Continuous time-proportional sampling yields the time-weighted average concentration, which is taken as proxy for the real, time-variable exposure. However, we do not know how much the toxicity of the average concentration differs from the toxicity of the corresponding fluctuating exposure profile. We used toxicokinetic-toxicodynamic models (invertebrates, fish) and population growth models (algae, duckweed) to calculate the margin of safety in moving time windows across measured aquatic concentration time series (7 pesticides) in 5 streams. A longer sampling period (14 d) for time-proportional sampling leads to more deviations from the real chemical stress than shorter sampling durations (3 d). The associated error is a factor of 4 or less in the margin of safety value toward underestimating and an error of factor 9 toward overestimating chemical stress in the most toxic time windows. Under- and overestimations occur with approximate equal frequency and are very small compared with the overall variation, which ranged from 0.027 to 2.4 × 1010 (margin of safety values). We conclude that continuous, time-proportional sampling for a period of 3 and 14 d for acute and chronic assessment, respectively, yields sufficiently accurate average concentrations to assess ecotoxicological effects. Environ Toxicol Chem 2020;39:2158-2168. © 2020 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Keywords: Aquatic toxicology; Ecotoxicology; Effect modeling; Risk assessment; Sampling strategy; Time-weighted average.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Endpoint Determination
  • Environmental Monitoring*
  • Invertebrates / physiology
  • Models, Theoretical*
  • Pesticides / toxicity*
  • Reproduction / physiology
  • Time Factors
  • Water Pollutants, Chemical / toxicity
  • Water Quality*

Substances

  • Pesticides
  • Water Pollutants, Chemical