Join Waterborne Environmental at the upcoming SETAC conference on November 12-16, 2023!
We're sending Waterborne scientists who will staff our booth (find us at Booth #54), present short courses and papers (abstracts below), and meet with colleagues within the industry. If you'd like to set up a meeting, please contact Waterborne's SETAC lead, Nathan Snyder, at snydern@waterborne-env.com.
5.02.P-Mo-180, Accessing Pollinator Decline Associated Risks to Endangered Plant Populations using Bayesian Networks.
Authors: Paul Glaum, Nathan Snyder, Matthew E Kern, Twyla Michelle Blickley, and Patrick Havens.
Why it’s important:
Endangered species can experience risk due to an array of direct and indirect factors, each understood with varying amounts of available data. While the traditional Risk Quotient approach can synthesize this complexity into a tractable single number, it is limited in its ability to address uncertainty and incorporate the structural framework that mediates this risk in nature. Approaches like Bayesian Networks can incorporate conditional probabilities that structure uncertainty both hierarchically and synergistically to obtain evidence-based inference even with limited data. This level of detailed risk assessment can produce a deeper understanding of the sources of risk and potential mitigation options. With our SETAC poster, we apply this framework to endangered plant species experiencing risk based in pollinator loss due to pesticide exposure.
1.14.P-Tu-055, The Development of the MERCI Modeling Framework to Evaluate the Exposure of Sunscreen and Cosmetic Ingredients to Marine and Freshwater Ecosystems
Authors: W. Martin Williams, Scott Dyer,Todd Gouin, Nicola Hefner, Eva Klingelmann, Amelie Ott, Sascha Pawlowski, and Maura Roberts.
Why it’s important:
The MERCI tiered modeling framework consists of suite of models and scenarios to evaluate the direct release of cosmetic ingredients to the environment. The framework is designed to identify if a chemical may cause adverse effects to aquatic ecosystems initially with minimal effort and often with sparse information. Progressive tiers introduce additional processes and complexity to improve the accuracy of predictions. This progression allows risk assessors in industry and regulatory agencies to expend resources only when necessary, and it provides guidance on specific studies that may help improve that accuracy. The framework was initially developed to evaluate the potential exposure of UV filters to coral from the wash-off of sunscreens in populated beach settings, but the models and scenarios are applicable to the direct release of most any constituent (e.g., fertilizers, biocides, preservatives, fragrances, wastewater) to near-shore waters.
4.25.P-Tu-188, Refining environmental exposure assessments for consumer-use down-the-drain ingredients using spatially resolved datasets and surface water flow modeling: Focus on Europe
Authors: Susan A. Csiszar, Ryan Heisler, Chiara Maria Vitale, Brenna Kent, Raghu Vamshi, Amy Ritter, Kathleen McDonough
Why it’s important:
Ensuring a healthy environment for the future is a priority for manufacturers and ingredient suppliers of formulated consumer products. Therefore, the ability to determine the potential exposure from down-the-drain products into wastewater treatment plants then into receiving waterbodies is important. This poster shows the iSTREEM® model expansion that can provide estimated river concentration distributions for Europe.
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