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This project will involve close collaboration with the successful offeror and the U.S. Army Corps of Engineers (USACE), Engineer Research and Development Center (ERDC). This project will involve adding the navigation attributes to acoustic fields and potentially electric fields within the OpenFOAM framework, while still computing hydraulic variables. The resulting data set will include a sound field, a flow field, various navigation attributes that are found to impact either the acoustic and/or flow fields, and electrical field as appropriate. A field site with supporting geometry, acoustic data, lock operations data, navigation data, and AIS data will be provided by the USACE. The successful offeror will be responsible for processing ambient and intentional (that is the acoustic deterrent) acoustic and hydrological data as appropriate. Operations, navigation, and AIS data will be processed by USACE, which would include the removal/recoding of vessel identifications.
Funding Opportunity Number: W81EWF-24-2-0029. Assistance Listing: 12.630. Funding Instrument: CA. Category: ST. Award Amount: Up to $175K per award.
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Search similar grants →Based on current listing details, eligibility includes: Eligible applicants: Others (see text field entitled Additional Information on Eligibility for clarification). This opportunity is restricted to non-federal partners of the Pacific Northwest Cooperative Ecosystems Studies Unit (CESU). Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $175K per award Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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Methods to quantify and predict vulnerability to harmful algal blooms (HABs) has not been developed for most lakes and reservoirs in the U.S. (and the world). This limits the ability for water quality stakeholders to 1) avoid costly emergency events, 2) efficiently design source water monitoring, 3) evaluate the impact of interventions, and 4) maintain trust with the public. Current approaches for detection and prediction of harmful algal blooms rely on infrequent satellite imagery and/or water samples, and provide predictions only at specific sites (i.e., where samples are taken). Furthermore, the models used to make predictions do not typically provide an ability to diagnose the specific drivers of HABs, beyond weather variables. The challenges confronting water quality stakeholders like the USACE are to 1) improve the spatial and temporal resolution of HAB predictions; 2) have the ability to diagnose the causes of HABs in managed reservoirs. The overarching goal of this project is to develop and test a hybrid modeling system that combines watershed, hydrodynamic and machine learning models to provide accurate predictions of HABs in USACE reservoirs, at high spatial and temporal resolution. The products that this project will create include: 1) A hybrid modeling system for making accurate predictions of HABs at USACE reservoirs, improving on the state-of-the-art in terms of spatial coverage and temporal frequency; 2) Demonstrated utility of the hybrid modeling system for identifying the drivers of HABs, and for estimating the efficacy of interventions; Documentation and training to enable deployment of the hybrid modeling system at additional USCAE reservoirs. Funding Opportunity Number: W81EWF-24-SOI-0041. Assistance Listing: 12.630. Funding Instrument: CA. Category: ST. Award Amount: Up to $142K per award.
The U.S. Army Engineer Research and Development Center (ERDC) Civil Works Commercial Solutions Opening (CSO) seeks innovative commercial technologies for infrastructure management, water modeling, AI and robotics applications, and ecosystem management. The program covers civil works research and development priorities across infrastructure resilience, ecosystems, water management, sediment management, crisis preparedness, and AI-driven engineering solutions. ERDC is specifically seeking AI and robotics technologies that can enhance civil works operations including autonomous inspection systems, predictive maintenance for infrastructure, intelligent water resource management, AI-powered environmental monitoring, and robotics for hazardous environment operations. Submissions accepted on a rolling basis through December 31, 2026.
ERDC Broad Agency Announcement is sponsored by U.S. Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC). This Broad Agency Announcement (BAA) solicits pre-proposals for research and development initiatives across various scientific disciplines relevant to the U. S. Army Corps of Engineers, including hydraulics, coastal engineering, environmental processes, and more.