Simpler Grants.gov #G26AS00123

USGS Seeks CESU Partner for JaiaBot BIO AUV Water Quality Monitoring in Lake Champlain

The U.S. Geological Survey (USGS) Water Resources Mission Area is seeking a CESU partner to evaluate the JaiaBot BIO autonomous underwater vehicle (AUV) for water quality monitoring in Lake Champlain. - Government Buyer: - U.S. Geological Survey (USGS), Water Resources Mission Area - OEM Highlight: - JaiaBot (manufacturer of JaiaBot BIO AUV) - Products/Quantities: - Four (4) JaiaBot BIO autonomous underwater vehicles (AUVs) with in-situ water quality sensors - Services Requested: - Operational readiness evaluation and field testing of JaiaBot BIO AUVs - Mapping 3D hot spots of degraded water quality during episodic events (e.g., high flow riverine plumes, cyanobacteria blooms) - Comparative analysis with satellite and fixed monitoring platforms - Data management adhering to federal geospatial and open data standards - Notable Requirements: - Only partners from the Great Lakes-Northern Forest Basin CESU are eligible - All four JaiaBot BIO AUVs will be vested to the recipient after the 24-month project - Project includes annual progress and final technical reporting - Total estimated funding is $299,971 - Place of Performance: - Lake Champlain - USGS Acquisitions and Grants Branch (Reston, VA) - Great Lakes-Northern Forest Basin CESU - NGWOS R&D Sub-Program Manager Office (Richmond, VA)

Description

The U.S. Geological Survey (USGS) is offering a funding opportunity to a Cooperative Ecosystem Studies Unit (CESU) partner to evaluate the operational readiness of a low-cost autonomous underwater vehicle called the JaiaBot BIO. This technology aims to conduct rapid assessments of water quality degradation during episodic events such as high flow riverine plumes and cyanobacteria blooms in Lake Champlain. The project will purchase four JaiaBot BIO vehicles for use over a 24-month period, with the goal of quantifying the distribution and severity of water quality events in near real time. The project also includes comparing data from the autonomous vehicles with satellite and fixed monitoring platforms to assess strengths and limitations.

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