Development and Validation of Reservoir and Riverine Water Quality Models | W81EWF 20 SOI 0033

Opportunity Information: Apply for W81EWF 20 SOI 0033

The grant opportunity titled Development and Validation of Reservoir and Riverine Water Quality Models is a Department of Defense (U.S. Army Corps of Engineers) research effort focused on improving how reservoirs and river systems are modeled for water quality and related environmental impacts. The underlying problem it targets is nutrient transport from watersheds into rivers, lakes, reservoirs, and coastal waters. Although nutrient movement is a normal part of watershed and aquatic ecosystem function, human-driven inputs, especially from intensive agriculture and other anthropogenic sources, can overwhelm an ecosystem's natural ability to absorb and process those nutrients. When that happens, eutrophication accelerates, water bodies can experience harmful algal blooms and oxygen depletion, ecological communities can become unstable, and the overall system becomes more vulnerable to invasive species, food web shifts, habitat loss, and risks to human health. These changes can also reduce economic and social benefits tied to clean water, fisheries, recreation, and other uses.

The anticipated work centers on building and validating multi-dimensional modeling systems that connect several processes that are often difficult to analyze together: reservoir hydrodynamics (how water moves and stratifies in a reservoir), reservoir operations (how dams and releases are managed), riverine hydraulics (flow patterns and movement in rivers), and water quality kinetics (the chemical and biological reactions that control nutrients, oxygen, temperature effects, and related constituents). The U.S. Army Engineer Research and Development Center (ERDC) is looking to advance both foundational and applied components of these modeling tools. A key piece is continued development of CE-QUAL-W2, a widely used two-dimensional (longitudinal and vertical) hydrodynamic and water quality model designed for stratified water bodies like reservoirs and certain river reaches. Improvements described in the opportunity include enhancing water quality algorithms, better representation of reservoir operations, and stronger data input and output capabilities to support modern workflows and decision needs.

In parallel, the work includes advancing ERDC-developed water quality modules used for specialized simulations: the Nutrient Simulation Module (NSM), Temperature Simulation Module (TSM), Contaminant Simulation Module (CSM), and Mercury Simulation Module (MSM). Collectively, these modules support analyses of nutrient dynamics, thermal regimes, contaminant fate and transport, and mercury cycling, which are all critical factors in evaluating ecological and human health outcomes. By developing and validating these tools, the program aims to produce models that are credible enough for real-world planning, comparison of management alternatives, and defensible environmental assessments.

A major application area highlighted in the announcement is continued technical support for the Columbia River Systems Operation (CRSO) Environmental Impact Statement (EIS) and the Columbia River Treaty (CRT) study. Those efforts compare water management and system configuration alternatives across a complex set of objectives. The opportunity emphasizes that decision-making at that scale requires models and methods capable of evaluating trade-offs and mitigation measures across multiple resource concerns, including water quality (with specific mention of temperature, nutrients, and Total Dissolved Gas, or TDG), fish and aquatic life, flood risk management, hydropower, irrigation, and navigation. Beyond simply predicting impacts, the work also involves assessing mitigation measures tied to each alternative for effectiveness, side effects, and the extent to which they satisfy environmental compliance requirements.

Administratively, this is a discretionary funding opportunity offered as a cooperative agreement, indicating substantial involvement or collaboration with the Corps/ERDC during the project rather than a hands-off grant. It falls under the science and technology and other research and development activity category, with CFDA number 12.630. The funding opportunity number is W81EWF 20 SOI 0033. The anticipated award structure listed is one award with an award ceiling of $350,000. The posting dates in the source information show a creation date of June 4, 2020, with an original closing date of July 31, 2020. Eligibility is broadly labeled as "Others" with additional clarification referenced in the full eligibility text, suggesting the competition may be open beyond standard categories but subject to specific conditions in the official announcement.

Overall, the opportunity is geared toward improving the scientific and operational credibility of reservoir and river water quality modeling in support of high-stakes water management decisions. It ties model development directly to practical planning needs, especially the evaluation of system operation alternatives and mitigation strategies where water quality, ecological outcomes, and human uses of the river system must be analyzed together in a consistent, technically defensible way.

• The Department of Defense, Dept. of the Army -- Corps of Engineers in the science and technology and other research and development sector is offering a public funding opportunity titled "Development and Validation of Reservoir and Riverine Water Quality Models" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 12.630.
• This funding opportunity was created on Jun 04, 2020.
• Applicants must submit their applications by Jul 31, 2020. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Each selected applicant is eligible to receive up to $350,000.00 in funding.
• The number of recipients for this funding is limited to 1 candidate(s).
• Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).

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