Abstract & Details
Description
Award ID: 49100425C0009 - Phase 2
Globally, over 4.4 billion people drink contaminated water. In the United States, half of Americas rivers are impaired in part by nutrient, fecal and per- and polyfluoroalkyl substances (PFAS) contamination and do not meet Clean Water Act standards. Contamination stems from stormwater and agricultural runoff, treated and untreated wastewater and organic decomposition. Monitoring of the source, concentration, risk and trends of water contamination exposure is a major limitation toward improved water quality management both in the United States and globally. Virridy has developed the Lume to remotely measure contamination risk in water. The Lume uses fluorescence combined with remote sensing informed machine learning analytics to estimate contamination parameters, including fecal, algae, nutrients and PFAS, with remote reporting to alert water stakeholders. This sensor technology is the first to demonstrate a fully integrated in-situ, autonomous, internet-connected water contamination risk sensor. Virridy received an NSF Phase 1 award to address the challenges of monitoring water contamination exposure by coupling the Lume sensor technology with the registration of the first-ever methodology to enable the generation of carbon credits, salable for revenue and associated with replacing gray infrastructure with green infrastructure to improve watershed health. In addition to NSF support, Virridy is leveraging NSF Small Business Innovation Research to fuse sensor and remote sensing data. The University of Colorado Boulder and Colorado State University provide expert faculty in the topics of instrumentation, remote sensing, data science, behavioral science, water resources, water quality and lifecycle analysis. Virridy has also cultivated community and municipal partnerships in Colorado, across the United States and around the world.
NSF Program Director: Richard Farnsworth
Globally, over 4.4 billion people drink contaminated water. In the United States, half of Americas rivers are impaired in part by nutrient, fecal and per- and polyfluoroalkyl substances (PFAS) contamination and do not meet Clean Water Act standards. Contamination stems from stormwater and agricultural runoff, treated and untreated wastewater and organic decomposition. Monitoring of the source, concentration, risk and trends of water contamination exposure is a major limitation toward improved water quality management both in the United States and globally. Virridy has developed the Lume to remotely measure contamination risk in water. The Lume uses fluorescence combined with remote sensing informed machine learning analytics to estimate contamination parameters, including fecal, algae, nutrients and PFAS, with remote reporting to alert water stakeholders. This sensor technology is the first to demonstrate a fully integrated in-situ, autonomous, internet-connected water contamination risk sensor. Virridy received an NSF Phase 1 award to address the challenges of monitoring water contamination exposure by coupling the Lume sensor technology with the registration of the first-ever methodology to enable the generation of carbon credits, salable for revenue and associated with replacing gray infrastructure with green infrastructure to improve watershed health. In addition to NSF support, Virridy is leveraging NSF Small Business Innovation Research to fuse sensor and remote sensing data. The University of Colorado Boulder and Colorado State University provide expert faculty in the topics of instrumentation, remote sensing, data science, behavioral science, water resources, water quality and lifecycle analysis. Virridy has also cultivated community and municipal partnerships in Colorado, across the United States and around the world.
NSF Program Director: Richard Farnsworth
| Status | Active |
|---|---|
| Effective start/end date | 06/05/25 → 06/04/28 |
Funding
- Other Programs (Technology): $4,998,551.00
Active Fiscal Year
- FY2028
- FY2027
- FY2026
- FY2025
Start Fiscal Year
- FY2025
TIP Programs
- Other Programs (Technology)
Key Technology Areas
- Artificial Intelligence
- (confidence score: 100%)
- Data and Cybersecurity
- (confidence score: 99%)
- Disaster Prevention and Mitigation
- (confidence score: 100%)
Technology Foci
- Natural disaster prevention and mitigation
- (confidence score: 89%)
- Data and Cybersecurity (Broad)
- (confidence score: 100%)
- Artificial Intelligence (Broad)
- (confidence score: 100%)
Current Congressional District
- District n. 02 of Colorado
United States
- Colorado
Core Based Statistical Area (CBSA)
- Boulder, CO
County
- County: Boulder, CO
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