Notice of Intent to Award
Sector: Commercial • Location: United States of America
Source: Grants.gov
Reclamation seeks to expand its knowledge and capabilities with respect to DMDU frameworks. The 2007 Interim Guidelines for Lower Basin Shortages and Coordinated Operations of Lake Powell and Lake Mead, as specified in those guidelines, are set to be re-evaluated prior to 2020. It is anticipated that the incorporation of a DMDU framework will be part of such a process. For example, the framework t
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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 | Reclamation seeks to expand its knowledge and capabilities with respect to DMDU frameworks. The 2007 Interim Guidelines for Lower Basin Shortages and Coordinated Operations of Lake Powell and Lake Mead, as specified in those guidelines, are set to be re-evaluated prior to 2020. It is anticipated that the incorporation of a DMDU framework will be part of such a process. For example, the framework termed Many Objective Robust Decision Making may be beneficial for the Colorado River system because it adds optimization to generate alternatives, to complement some of the existing DMDU work. As such, the purpose of this project is to, building from the work in the 2012 Study and utilizing the emerging science with respect to DMDU, design an approach and provide a proof of concept that will demonstrate how alternative decision making frameworks may be able to assist Reclamation’s long-term planning efforts, in particular, the exploration of alternative reservoir operating policies. |
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 |
