Simpler Grants.gov #G27AS00060

USGS Colorado River Basin harmful algal bloom prediction research

The U.S. Geological Survey is seeking a research partner to predict harmful algal blooms across the Colorado River Basin. - Government buyer: U.S. Geological Survey (USGS), Arizona Water Science Center (AZWSC). - Opportunity: One cooperative research agreement for a participating partner in the Colorado Plateau Cooperative Ecosystem Studies Unit (CESU); no cost sharing is required. - Research scope: Use AquaMatch and Landsat remote-sensing data to develop machine-learning models predicting chlorophyll-a, an indicator of potential harmful algal blooms, in Lake Powell, Lake Mead, Lake Mohave, Lake Havasu, and free-flowing Colorado River reaches wider than 90 meters. - Deliverables and requirements: Compile remote-sensing data, develop reusable software to integrate model results with public-facing web maps, and collaborate with USGS scientists on one or more publications. Geospatial data must be submitted digitally in open formats with applicable metadata and standards; results and data are expected to be disseminated. - Funding: Estimated total funding is $150,000, including approximately $50,000 for the first budget year. Later-year funding depends on satisfactory progress and availability of funds. - OEMs and vendors: No commercial OEMs or vendors are specified; AquaMatch and Landsat are named tools/data sources.

Description

The U.S. Geological Survey Arizona Water Science Center is offering a cooperative agreement to an eligible partner of the Colorado Plateau Cooperative Ecosystem Studies Unit. The project will develop remote-sensing-based predictive chlorophyll-a models using AquaMatch to estimate potential harmful algal blooms in reservoirs and free-flowing sections of the Colorado River from Lake Powell to the delta. The opportunity anticipates one award, with estimated total funding of $150,000 and a three-year project period. Applicants must be participating partners of the Colorado Plateau Cooperative Ecosystem Studies Unit.

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