What if you could predict water quality problems before they happen? In this episode of INFLOW, hosts Joe Arlotto and Dr. Jeff Keaffaber sit down with Paul Cooley, Aquatics Director at PC Aquatics and Senior Engineer with Ardurra, along with Chris Carr, Director of Life Support Systems at Long Beach Aquarium of the Pacific, to explore a groundbreaking new tool for the aquatic animal life support industry: a comprehensive Life Support System (LSS) computer model. Drawing on real-world data from Long Beach Aquarium of the Pacific, Paul and Chris discuss how advanced modeling is being used to simulate and predict critical water quality parameters, including dissolved oxygen, ammonia, nitrite, nitrate, pH, alkalinity, carbon dioxide, phosphorus, temperature, and more. The conversation explores how digital modeling can help operators troubleshoot system performance, optimize filtration processes, improve emergency preparedness, and even influence the design of future aquariums and aquatic facilities. The group also examines how data-driven decision-making, predictive analytics, and emerging AI technologies could transform aquatic animal life support operations by helping facilities conserve water, save energy, improve sustainability, and provide healthier environments for animals. Whether you're an LSS operator, aquarium engineer, aquatics professional, zoo professional, consultant, or student entering the field, this episode offers a fascinating look at the future of aquarium water quality management and the next generation of life support system design. Topics covered include: Life support system (LSS) computer modeling Aquarium water quality prediction Dissolved oxygen (DO) management Nitrogen, carbon, and phosphorus cycles Aquarium design and engineering Life support troubleshooting Sea otter habitat water quality Predictive analytics for aquariums AI applications in aquatic animal life support Sustainable aquarium operations (0:27) - What Innovation Means (4:10) - AALSO Conference Meetup (5:25) - Paul's Water Quality Model (7:34) - Long Beach DO Case Study (12:32) - Operator Simulation Tool (15:03) - Troubleshooting DO Systemwide (19:44) - Design and Sustainability Uses (24:16) - Future Features and Data Needs (27:06) - CO2 vs Turbidity Priorities (29:56) - Animal Health Data Ideas (32:55) - Long Beach Testing Roadmap (37:40) - Iterating the Model Interface (38:46) - Sponsor Break - Longhorn Organics (42:53) - Chris Carr Otter DO Crisis (45:35) - DO Mapping and Backwash Tradeoffs (48:53) - Beyond DO Coliform Predictions (50:45) - Data Call and Wrap Up Subscribe to INFLOW for conversations with the leaders, engineers, scientists, and operators shaping the future of aquatic animal life support systems. Stay connected at https://inflowlsspodcast.com