Abstract
Tomorrow’s smart lake will able to predict what could happen and to identify actions that affect the trajectory of the lakes. Smart Lake Erie – the proof of concept – will integrate data from distributed sensors using resilient networks to feed adaptive, predictive analytics that define and perhaps even perform necessary management actions. This paper describes Smart Lake Erie pilot as a series of steps including convening innovation challenges, engaging stakeholders, securing the core observation system, and designing and operationalizing a sustainable Harmful Algae Bloom Early-Warning System. The technology platform of the pilot will be a window into what is needed to serve new contributors, new service providers, new stakeholders and consumers of the data and information service paradigm. Lessons learned are drawn from the early implementation of the pilot which are applicable to the larger Great Lakes region, other Region Associations within the U.S. Integrated Ocean Observing System, and the Global Ocean Observing System.
Highlights
The Great Lakes, which provide drinking water, recreation, and natural environmental capital to 48 million people, are stressed by population growth, climate change, and invasive species (Great Lakes Commission, n.d.) (National Science and Technology Council, 2017)
The goal of the Smart Lake Erie pilot is to deploy a new suite of technologies supporting intelligent water management and decision-making, thereby demonstrating the viability of the Smart Great Lakes concept
This paper presents the Smart Lake Erie pilot with a focus on communications and user engagement
Summary
Becky Pearson1*, Tim Kearns, Tad Slawecki, Bryan Stubbs, Max Herzog, Kelli Paige and David Fitch. Smart by Driving Innovations in Technology and Networking. Tomorrow’s smart lakes and oceans will be able to, among other things, predict changes in the water environment and produce information critical to proper management and planning. Smart Lake Erie – a proof of concept – will integrate data from distributed sensors using resilient networks to feed adaptive, predictive analytics that define and perhaps even perform necessary management actions. This paper presents the Smart Lake Erie pilot as a series of steps that include convening innovation competitions, engaging stakeholders, securing the core observation system, and designing building a sustainable early warning system for harmful algal blooms. Lessons learned from the early implementation of the pilot will be applicable to the overall Great Lakes region, other regional associations within the U.S Integrated Ocean Observing System (IOOS), and the Global Ocean Observing System (GOOS)
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