Temperature Model of Lake Roosevelt
Sector: Commercial • Location: United States of America
Source: Grants.gov
In 2011, Reclamation and Portland State University (PSU) entered into a cooperative agreement whereby PSU is to develop a temperature model of Lake Roosevelt, created by the Grand Coulee dam project. Development of this model affords the ability to evaluate operational and structural alternatives that can influence the regulation of water flow and temperature. It also has the potential to inform
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
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 | In 2011, Reclamation and Portland State University (PSU) entered into a cooperative agreement whereby PSU is to develop a temperature model of Lake Roosevelt, created by the Grand Coulee dam project. Development of this model affords the ability to evaluate operational and structural alternatives that can influence the regulation of water flow and temperature. It also has the potential to inform in-season watershed management decisions to reduce take, consistent with Section 14.5.2 of the 2008 Federal Columbia River Power System (FCRPS) Biological Opinion (BiOp). The benefit to constructing a temperature model of Lake Roosevelt allows for the future inclusion of other biological and water quality constituents. Additional funds are required for further evaluation of this project. Therefore, it is Reclamations intent to provide additional funds to PSU to perform peer review of multiple temperature model runs of Lake Roosevelt and Grand Coulee Dam. Peer review of model runs helps insure quality assurance and quality control (QA-QC) of Reclamations modeling effo |
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 |