Improving Water Quality and Equity through Sensor Data and Machine Learning Models

Award ID: 49100424C0008 - Phase 1

This project builds a water management data ecosystem so that the state of Kansas can make decisions that sustain water quantity, improve water quality, and ensure water equity. The technical solution involved in this project uses a system-of-sys- tems approach to integrate high-frequency water monitoring into communities, offices of local government officials, and state gov- ernment agencies. This is made possible using innovative Internet of Things (IoT) devices capable of monitoring quality and quantity of water. The data from these devices will be processed, modeled, and transformed to show real-time water quality, water quantity, and water equity metrics on a publicly accessible data dashboard. The data dashboard will streamline and integrate data collection efforts across multiple state agencies. The result of this project aims to make livelihoods in parts of Kansas sustainable and for Kansas to serve as a model for how to integrate high-frequency data into decision-making processes and enhance equitable, un- biased data-driven solutions to the urgent water equity problems our society faces.

NSF Program Director: Lori Ziolkowski