Transmission Pipeline Route Analysis to Support Growing Water Demand
Bibliographic record
Abstract
In early 2016, Freese and Nichols Inc. (FNI) was contracted by the North Texas Municipal Water District (NTMWD) to develop a pipeline alignment for an 84-inch treated water pipeline to support the future growth projections expected in the northern reaches of their treated water system. The NTMWD currently serves more than 1.6 million people. The project is named the Leonard to McKinney Treated Water Pipeline, and this paper will present the preliminary design aspects of corridor and alignment selection analysis. The Leonard to McKinney Treated Water Pipeline (TWPL) is approximately 25 miles in length and proposed as an 84-inch pipeline with the potential for a future parallel 60-inch pipeline. The line begins at the proposed Leonard Water Treatment Plant (LWTP) near the city of Leonard, Texas, and travels southwesterly to the proposed McKinney Pump Station No. 4 delivery point in McKinney, Texas. The pipeline is expected to convey 90 MGD initially with an ultimate system capacity of 360 MGD. This pipeline is critical to meet the rapid growth the northern Dallas metroplex is experiencing. The paper will present an overview of the route analysis that was provided, beginning with a corridor analysis where a total of six, quarter-mile wide corridors were developed before narrowing those down to one preferred corridor, and finally working toward one final preferred pipeline alignment. The goal of the paper and presentation will be to focus on the reasoning and methods utilized for the careful selection of the optimal pipeline route. Special consideration was provided for various aspects to minimize known potential environmental and archeological impacts, potential impact to landowners, constructability concerns, topographic characteristics that would negatively impact hydraulic profile, and maximizing proposed permanent easement limits for future maintenance/construction needs. The preliminary routes were broken up by length into geographical classifications that represent specific construction challenges and associated costs. An evaluation matrix was developed utilizing geographical, cost, environmental, maintenance, and installation characteristics to classify sections of the routes as a means of comparing the alternatives. Using these reasoning tools, the analysis able to provide the NTMWD with an optimal pipeline route to carry into final design.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".