Modelling photochemical air pollution from industrial and biogenic emissions in the Terrace-Kitimat valley : a constrained coastal airshed with complex terrain
Bibliographic record
Abstract
This study investigates the worst-case ambient concentrations of O₃ and its precursors (NOx and VOCs) that may occur from the construction of large industrial facilities in the Terrace-Kitimat valley airshed. This research is important as the Terrace-Kitimat valley naturally emits high levels of biogenic VOCs in the summer and many of the proposed facilities will, if constructed, emit high quantities of NOX. To date, literature concerning O₃ production form industrial development in coastal airsheds with complex terrain is sparse. The Comprehensive Air Quality Model with Extensions (CAMx) was used as the photochemical model for this research. Spring and summer periods were selected from 2010. Control and Test Case emission inventories were developed, the former for model evaluation and the latter to assess pollutant change. Model evaluation showed that CAMx was able to emulate daytime O₃ peaks in an adjacent valley for both periods though overnight titration by NO was less adequately replicated. Sensitivity tests revealed that this was due in part to inade- quate Control Case emissions quantification; results improved with the addition of small scale area-based NOx emissions to account for missing sources in the original emissions inventory. Results from the spring period suggest that increased industrial emissions, in general, would not contribute to valley-wide O₃ increases greater than 5 ppb, as biogenic VOC emissions are minimal throughout the airshed during this season. On the other hand, results from the summer period suggest that increased industrial emissions would, at times, contribute to a greater than 55% increase in O₃ concentrations, particularly downwind of Kitimat on days with high temperatures, low planetary boundary layer heights, differential heating of the land and ocean surface temperatures and consecutive days of horizontally recirculating wind. This research also used the modelled O₃ - reactive nitrogen ratio during hours conducive to photochemistry to determine the O₃ sensitivity of the Terrace-Kitimat valley airshed. The airshed is currently sensitive to NOx emissions however the full construction of all proposed industrial projects would likely change the O₃ sensitivity of a large portion of the valley to be sensitive to emissions of VOCs, especially in and around Kitimat.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".