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GeoPro Talks: Water Quality Modelling Demystified: From Conceptual Model to Decision Tool

May 27, 2026
Time: 10 AM PT
Location: Online
Instructor(s): Kristina Skeries

Description

Water quality models are widely used across contaminated sites, mining, and environmental management, yet they are often perceived as complex “black boxes.” This presentation provides a practical, accessible overview of water quality modelling, focusing on how models are developed, what they represent, and how they can be used to support environmental decision-making. We begin by linking water quality models to the conceptual site model, emphasizing that models are structured representations of site understanding rather than standalone tools. The talk then outlines the types of data and disciplines that inform modelling, including hydrogeology, geochemistry, hydrology, and biogeochemistry, and illustrates how these inputs interact to control contaminant fate and transport. Different modelling approaches—from simple screening tools to reactive transport models—are compared, with guidance on selecting fit-for-purpose methods depending on project stage and regulatory needs. We also discuss the role of multi-model approaches in addressing uncertainty and improving confidence in predictions. Finally, the presentation provides practical guidance on interpreting and evaluating model outputs, with a focus on understanding assumptions, uncertainty, and decision relevance. This talk is designed for environmental professionals seeking to better understand and apply water quality modelling in their work.

About Instructor(s)

Kristina Skeries
MSc, PGeo

Kristina Skeries is a senior scientist with expertise in water quality and geochemistry, with over 15 years of experience in mining and consulting. She specializes in water quality modelling of mine sites in support of site development, operations, and closure; she also supports the development and execution of geochemical programs. Kristina loves the interdisciplinary nature of modelling and geochemistry, and the challenge of using modelling to provide insight to complex systems.

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