Improved Harmful Algal Blooms Prediction with Hybrid Models
ID: 355494Type: Posted
Overview

Buyer

Engineer Research and Development Center (DOD-COE-ERDC)

Award Range

$0 - $142K

Eligible Applicants

Others

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Cooperative Agreement

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/355494
Timeline
    Description

    The Engineer Research and Development Center (ERDC) of the U.S. Army Corps of Engineers (USACE) is offering a funding opportunity for the development of hybrid numerical-machine learning models aimed at predicting harmful algal blooms (HABs) in U.S. reservoirs and lakes. The primary objective of this initiative is to enhance the prediction capabilities of HABs by creating a hybrid modeling system that provides high spatial and temporal resolution, addressing the limitations of current methods that rely on infrequent satellite imagery and localized water sampling. This project is crucial for improving water quality management, which ultimately benefits public health and environmental quality. The total estimated funding for this program is approximately $212,770, with a maximum award of $142,324 for the first year and $70,449 for the second year. Interested non-federal partners of the Pacific Northwest Cooperative Ecosystems Studies Unit must submit a Statement of Interest by August 16, 2024, with full proposals due by September 16, 2024, if invited. For further inquiries, contact Kisha M. Craig at kisha.m.craig@usace.army.mil or by phone at 601-634-5397.

    Point(s) of Contact
    kisha.m.craig@usace.army.mil
    Files
    Title
    Posted
    W81EWF-24-SOI-0041_FOA.pdf
    The U.S. Army Corps of Engineers (USACE) has announced a funding opportunity through the Engineer Research and Development Center (ERDC) to develop hybrid numerical-machine learning models for predicting harmful algal blooms (HABs) in U.S. reservoirs and lakes. This initiative aims to enhance the prediction of HABs using advanced modeling techniques that provide high spatial and temporal resolution, addressing the current limitations of existing methods that rely on infrequent satellite imagery or localized water sampling. The project seeks to create a hybrid system that will not only improve predictions but also identify and evaluate the drivers and impacts of HABs. Funding available is approximately $212,770.60, with a maximum award of $142,324.00 for the first year and $70,449.60 for the second year. Interested parties must submit a Statement of Interest by August 16, 2024, with full proposals due by September 16, 2024, if invited. This opportunity is limited to non-federal partners of the Pacific Northwest Cooperative Ecosystems Studies Unit, and all applications must comply with federal regulations. The initiative is designed to enhance water quality management, ultimately benefiting public health and environmental quality.
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