Developing a Missouri River Sediment Transport Capacity Function
Sector: Power Generation (CCGT) • Location: United States of America
Source: Grants.gov
The specific research question to be addressed by this agreement is “How do bed material loads, hydraulic roughness, and bedform regimes change based on hydraulic parameters, such as temperature, shear stress, stream power, slope, water velocity, etc.” To answer this complex research question, a bed material load sediment transport capacity function will be derived using the best available data, i
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The specific research question to be addressed by this agreement is “How do bed material loads, hydraulic roughness, and bedform regimes change based on hydraulic parameters, such as temperature, shear stress, stream power, slope, water velocity, etc.” To answer this complex research question, a bed material load sediment transport capacity function will be derived using the best available data, including USGS suspended sediment concentration/load and the Missouri River 2014 sediment data collection effort. A bedform/roughness predictor algorithm will also be developed for the Missouri River. The effectiveness of these algorithms at predicting observed data must be demonstrated in a journal article to be coauthored by USACE. The methodology and results must also be discussed in the journal article. Two in-person meetings will be held (kickoff and final presentation) between USACE and the award recipient, as well as monthly virtual meetings. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
