End-to-end cyberinfrastructure for real-time enviornmental decision support

Recent advances in sensor technology are facilitating the deployment of sensor networks into the environment that can produce measurements at high spatial and/or temporal resolutions. Through telemetry, these measurements can be delivered in near real time as data streams for use in real-time applications. These data streams can be instrumental in furthering our understanding of the environment, in monitoring and modeling the quality of the environments in which the sensors are deployed, and in providing real-time decision support for managing environmental systems. However, in order to realize these benefits, several challenges must be addressed, such as accessing heterogeneous data streams from multiple agencies; validating the data and fusing or transforming them for a desired application; providing high-dimensional models, visualizations, and decision support systems to explore data and forecast future conditions; and sharing the resulting knowledge. This poster will present an end-to-end cyberinfrastructure that can make these tasks possible in near real time, using a case study on real-time decision support for the combined sewer system in the Chicago Metropolitan Area.