University of Florida partners with SAS to tackle water quality challenges with analytics

Charlotte Harbor water quality analytics pilot project expanding

The University of Florida’s Center for Coastal Solutions (CCS) is embarking on an ambitious partnership with analytics leader SAS to study the factors that influence water quality in Charlotte Harbor. Funded by the Florida Department of Environmental Protection (DEP), this project aligns with CCS’ mission to innovate cutting-edge data analytics, modeling and artificial intelligence to advance scientific discovery and provide leaders the insights they need to identify the decisions and investments that will make Charlotte Harbor an environmental restoration success story.

The project will evaluate the connections between water quality and key economic sectors in the region. As part of the yearlong project, SAS and CCS will use SAS® Viya® on Microsoft Azure to develop a web-based water analytics platform to integrate a diversity of data streams to facilitate scientific research, visualize water quality conditions over time, and gain insights on effective clean water management techniques. SAS Viya is the company’s flagship AI, machine learning, analytics and data management platform,

An interdisciplinary team of CCS researchers – hydrologists, oceanographers, ecologists, economists and computer scientists – will use the data to investigate the interdependencies among pollution, ocean circulation, coastal water quality and economics and use satellite data to develop high-resolution water quality forecasting technology.

Building on a successful water quality pilot project

In a recent collaboration, CCS and SAS developed a pilot-scale platform to bring together massive amounts of water quality data from the Charlotte Harbor estuary in near-real time with easy-to-use visualizations. This pilot project demonstrated the value of quickly integrating high-quality data to support decision making and scientific research.

The new project will expand on the successful Charlotte Harbor pilot to include the northern reaches of the Harbor and associated tributaries. By integrating additional environmental and regional economic data from the watershed, CCS and SAS will explore a wider range of drivers affecting water quality in Charlotte Harbor and Peace River Basin and estimate the economic impacts of environmental changes throughout the region.

“By capitalizing on the exceptional supercomputing power of the University of Florida and SAS Viya, CCS, SAS and DEP are in a unique position to leverage large amounts of environmental data that have been collected by state agencies, the National Oceanographic and Atmospheric Administration, and others to better understand how coastal water quality is changing and why,” said Christine Angelini, PhD, CCS Director and Associate Professor in the Department of Environmental Engineering Sciences. “Our primary goal in coupling this advanced scientific understanding with a holistic assessment of the regional economy is to deliver useful, actionable information to decision makers who want to leave a legacy of cleaner waters, healthier ecosystems and a more robust, resilient economy in this region of the state.”

Florida taps analytics in bold efforts to improve water quality

The governor’s FY22-23 budget commits more than $3.6 billion to Florida's environment and water quality, of which $17 million will be dedicated to data analytics for water quality improvement.

“We are excited and proud to partner with the University of Florida and SAS to develop innovative solutions to complex challenges,” said Dr. Mark Rains, Florida’s Chief Science Officer. “This analytics platform will help us to better identify and respond to water quality changes in Charlotte Harbor, and it has the potential to unlock data-based solutions that will enhance our efforts around the state.”

Learn more in this water quality webinar featuring experts from University of Florida, SAS and Intel.

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Analytics and AI can help improve water quality and increase understanding of its economic impacts