About This Project
Over 9 billion gallons of combined sewer and stormwater flow into the Pittsburgh rivers every year. With a projected cost of $3 billion dollars to remediate these issues by 2026, understanding the water quality and quantity dynamics is paramount to creating a sustainable design that remediates the environmental problem while not overburdening the community.
The focus of this area is to triangulate historical, sensor-based and, grab sample water quality data to map out water quality patterns in real-time for urban watersheds. The results would enable decision-makers to identify trends in water quality and quantity to evaluate new Green/Grey infrastructure installations and, design adaptive controls for storm water systems.
Using sensors to validate Green Infrastructure
Over 9 billion gallons of combined sewer and stormwater flow into the Pittsburgh rivers every year. With a projected cost of $3 billion dollars to remediate these issues by 2026, understanding the water quality and quantity dynamics is paramount to creating a sustainable design that remediates the environmental problem while not overburdening the community.
The focus of this area is to triangulate historical, sensor-based and, grab sample water quality data to map out water quality patterns in real-time for urban watersheds. The results would enable decision-makers to identify trends in water quality and quantity to evaluate new Green/Grey infrastructure installations and, design adaptive controls for storm water systems.
Mapping Uncertainty in River Water Quality Dynamics
Over 9 billion gallons of combined sewer and stormwater flow into the Pittsburgh rivers every year. With a projected cost of $3 billion dollars to remediate these issues by 2026, understanding the water quality and quantity dynamics is paramount to creating a sustainable design that remediates the environmental problem while not overburdening the community.
The focus of this area is to triangulate historical, sensor-based and, grab sample water quality data to map out water quality patterns in real-time for urban watersheds. The results would enable decision-makers to identify trends in water quality and quantity to evaluate new Green/Grey infrastructure installations and, design adaptive controls for storm water systems.