Mountain Home Air Force Base Water Resilience Project: Challenges Associated with Design of Pump Station and Pipeline with Tight Schedule
Bibliographic record
Abstract
The existing water supply for Mountain Home Air Force Base (MHAFB) consists of groundwater wells to meet the demands of the Air Force Base. However, the water level within the aquifer that the wells pump has been declining at a rate that is not sustainable, and some wells have been shut down due to nitrate contamination concerns. MHAFB is important to national security and contributes an estimated $1 billion to the Idaho economy. The Idaho Water Resource Board (IWRB) has been working for more than 10 years to develop a long-term, sustainable water supply for the base. The new water supply for MHAFB will come from the Snake River. Water will be pumped from the CJ Strike Reservoir through approximately 14.4 mi of 18″ to 22″ high-density polyethylene (HDPE) and 18″ steel pipeline to MHAFB. The steel pipeline was needed as the pipeline pressure exceeded 300 psi near the CJ Strike Reservoir. The pipeline has a design capacity of 3.64 million gallons per day (MGD). The Design-Build team of IMCO/Stantec was selected to design and construct the MHAFB Water Resilience Project. Construction began in May 2024 and is scheduled to be complete in July 2025. There were several challenges associated with the design and delivery of this project, stemming from its technical complexity, tight timelines, and fixed-price design-build delivery method. This paper explores how multidisciplinary teams can collaborate effectively to address these challenges by integrating advanced hydraulic modeling techniques, implementing strategic design schedule management practices, and conducting comprehensive project site evaluations and pipeline planning. By detailing the innovative approaches and coordinated efforts used to navigate the complexities of high-pressure pump station and pipeline design, this paper highlights key strategies for meeting aggressive deadlines, effective and early detailed evaluation of key design components, and achieving success in the alternative delivery and design-build market.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".