In collaboration with the Sierra Club and Friends of the Rouge in Detroit, we are pioneering the use of a novel wireless sensor to measure and assess the effectiveness of green infrastructure (GI) solutions. Deploying these innovative sensors throughout the city, we are gathering real-time data on soil saturation, water level, and other critical parameters, providing insights into the performance of GI assets such as rain gardens and bioswales. Through this community-driven approach, we work closely with Detroit residents to study how GI installations across a city can collectively change the urban watershed.

Beyond sensing, we also propose an approach that combines green infrastructure (GI) and autonomous stormwater systems, leveraging wireless technology and real-time control. GI involves nature-based solutions like rain gardens and bioswales, which capture runoff, treat pollutants, and infiltrate water into the soil. Autonomous stormwater systems retrofit existing infrastructure with wireless sensors and controllable valves, allowing them to adapt to changing conditions. By coordinating these assets at a system-wide level, we can achieve flood and pollution management objectives across entire watersheds. Our project explores sensor placement methodologies, real-time control processes, and the use of data-driven models to optimize GI's effectiveness. Ultimately, our goal is to pave the way for a new generation of autonomous green infrastructure that addresses these critical water management challenges.

Our research around green infrastructure and understanding storm water has led to the development of an exciting new tool for community members to better understand the management of a large water system, such as the one in Detroit. SewerTycoon is a website and simulation tool, that allows the user to test and simulate various changes to a water system, such as the broad use of green infrastructure.

Fundamental Advances: A first-of-its-kind sensor measuring green infrastructure performance, algorithms for automated analysis of hydrologic sensor data

Impacts: Community inspired, cost-effective infrastructure retrofit solutions

Communities: Detroit, Toledo