Freshwater Decarbonization

Globally, billions face water insecurity and water quality challenges.

Water is an under-invested sector facing increasing pressure from climate change. Meanwhile, carbon credit markets provide incentives for nature-based climate solutions, but lack project diversity and quality. At this intersection, Virridy brings Freshwater Decarbonization With Data Science.

Green infrastructure, including tree planting, soil erosion control, wildfire mitigation and livestock exclusion, can improve water quality and reduce the need for concrete and steel gray infrastructure. By avoiding the construction and operation of energy intensive, carbon emitting water and wastewater plants, we can generate carbon credit revenue to pay for watershed protection.


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The Problem and Our Solution

Water insecurity is increasing globally as one of the first perceivable effects of climate change. While water management is typically a local challenge, climate finance mechanisms offer the potential to switch climate-damaging capital toward climate reparative water infrastructure and create a sustainable, performance-based funding stream to incentivize safe water services globally.

We use our proprietary technology and water and carbon markets expertise to restore watersheds and improve water quality, catalyzed by generating and selling high quality carbon credits. Virridy's management has developed large-scale watershed restoration programs in the United States motivated by the Clean Water Act and large-scale public health water treatment programs in Africa and Rwanda. 

Virridy's patented and published technology solutions fuse in-situ sensor data with remote sensing and data science to deliver high quality spatial and temporal water resource predictions as the digital monitoring, reporting and verification audit trail for high integrity freshwater decarbonization credits.


USA Evidence Base Archives

  • Investigating technology opportunities toward improved Colorado water monitoring: Insights from key informant interviews and stakeholder surveys

  • A continuous, in-situ, near-time fluorescence sensor coupled with a machine learning model for detection of fecal contamination risk in drinking water: Design, characterization and field validation

  • Performance of Regression and Artificial Neural Network Models, Informed with an In Situ Sensor Network, in Forecasting Groundwater Abstraction in the Central Valley, California

  • Development and Validation of an In Situ Groundwater Abstraction Sensor Network, Hydrologic Statistical Model, and Blockchain Trading Platform: A Demonstration in Solano County, California

  • Greening America's Rivers: The Potential of Climate Financing for Nature-Based Water Quality Improvement

  • Watershed Nature-Based and Green Infrastructure Water Methodology



Learn about Virridy and the Amazi Meza Rwanda Water Treatment Program.



Learn about our Kenya Drought Resilience work and how we impacted more than a million people



Learn about  'watershed carbon' methodology's applicability to the state of Wisconsin