Opportunity Information: Apply for USGS 19 FA 0357

The grant opportunity titled "In-situ bedload measurements using MBES and ADCPs" (Funding Opportunity Number: USGS 19 FA 0357) is a discretionary funding notice from the Department of the Interior, U.S. Geological Survey (USGS), focused on natural resources research (CFDA 15.808). It is set up as a cooperative agreement, meaning the work is expected to be carried out with active involvement or coordination with the USGS rather than as a hands-off grant. The opportunity was created on Aug 12, 2019, with an original closing date of Aug 26, 2019, indicating a short application window typical of targeted research awards.

The project described is to be conducted by the University of Iowa and centers on improving how scientists measure bedload in rivers and streams. Bedload refers to the portion of sediment transport made up of particles that move along the channel bed by rolling, sliding, or hopping (saltation). Accurately quantifying bedload is important for understanding channel change, habitat conditions, reservoir sedimentation, and infrastructure risks (like scour around bridges), but it is also notoriously difficult to measure well in real-world field settings.

The core scientific aim of the study is to implement and evaluate Acoustic Mapping Velocimetry (AMV) for in-situ bedload measurement in natural streams. In practical terms, AMV is presented as a technique that leverages acoustic instruments to map and infer motion, with the goal of providing more reliable estimates of bedload movement than many current approaches. The proposal specifically highlights two common categories of existing bedload measurement methods and notes that both can be of questionable accuracy depending on site conditions: (1) bottom tracking with Acoustic Doppler Current Profilers (ADCPs), which can sometimes struggle to distinguish true bed motion from instrument or flow-related artifacts, and (2) direct physical sampling using bedload probes, which can be limited by sampling bias, spatial variability, and the difficulty of capturing highly variable transport rates during changing flows.

Instrument-wise, the study is built around multi-beam echosounders (MBES) and ADCPs. MBES systems are typically used to create detailed bathymetric maps of the bed, while ADCPs are widely used to measure water velocity profiles and can also be used for bottom tracking and related sediment-transport inference methods. By combining these acoustic tools and applying AMV, the project intends to advance measurement capability specifically in natural streams, where conditions are messy and heterogeneous and where methods that work in controlled environments may not translate cleanly.

From a funding standpoint, the award ceiling is $49,999, with an expectation of one award. Eligibility is limited to public and state-controlled institutions of higher education, which matches the described recipient (the University of Iowa). Overall, this opportunity funds a focused, field-relevant research effort aimed at improving the accuracy and practicality of bedload measurements by developing and applying an acoustic-based AMV approach using MBES and ADCP technologies in real stream environments.

  • The Department of the Interior, U. S. Geological Survey in the natural resources sector is offering a public funding opportunity titled "In-situ bedload measurements using MBES and ADCPs" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
  • This funding opportunity was created on Aug 12, 2019.
  • Applicants must submit their applications by Aug 26, 2019. (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 $49,999.00 in funding.
  • The number of recipients for this funding is limited to 1 candidate(s).
  • Eligible applicants include: Public and State controlled institutions of higher education.
Apply for USGS 19 FA 0357

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