Case Study: Portland State University detects water quality model problems with Tecplot 360

Detecting Problems with Your Water Quality Model Predictions

Portland State University’s Civil and Environmental Engineering research team, led by Chris Berger, uses Tecplot 360 to analyze and present predictions from the CE-QUAL-W2 water quality model. Their challenge is making sense of large volumes of model output, spotting unrealistic results, and explaining model behavior to students, clients, and stakeholders.

Tecplot 360 helps Portland State University create contour animations, x-y graphs, and static plots that support debugging, model validation, and clear communication. With Tecplot macros, the team can rapidly post-process results for reports and workshops, helping them identify issues like implausible temperature values, understand complex lake dynamics, and teach the CE-QUAL-W2 model more efficiently.

Portland State University

Chris Berger

Research Faculty