Models for assessment of NOx emissions from turbofan engine of aircraft
Bibliographic record
Abstract
1. ICAO Environmental Report 2013. Aviation and Climate Change [Electronic reference]. – 2012. – Access mode: http://cfapp.icao.int/Environmental-Report-2013. 2. Enviro. [Electronic reference]. – 2011. – Access mode: http://www.enviro.aero/Content/Upload/File/BeginnersGuide_Biofuels_Web>. 3. Fraport Environmental Statement 2014 Including the Environmental Program until 2017. – Fraport AG, 2015. – 24–30 p. 4. Zaporozhets O. Estimation of emissions and concentration of air pollutants inside the airport / O. Zaporozhets, V. Strakholes, V.I. Tokarev. – State and perspective of activities on environment protection in civil aviation – Moscow: GosNIGA, 1991. – P. 18–20 (in Russian). 5. ICAO data bank of aircraft engine emissions. – Montreal: ICAO. Doc. 9646 – AN/943, 1995. – 152 p. 6. Synylo K. Aircraft emission estimation under operational conditions in the airport area / K. Synylo // Proceedings of the NAU. – Vol. 62. – No 1. – 2015 – P. 70–79. 7. Airport Air Quality Guidance Manual. – Montreal: ICAO. – Doc. 9889, 2007. – 114 p. 8. SAE, Procedure for the Calculation of Aircraft Emissions. SAE Committee A-21, Report SAE AIR 5715, 2009. 9. Aloysius S. Deliverable D2 – Definition and Justification Document / S. Aloysius, L. Wrobel. CS-GA-2009-255674-TURBOGAS – TURBOGAS, 2010. 10. Synylo K. NOx emission model of turbofan engine / K. Synylo, N. Duchene // International Journal of Sustainable Aviation. – 2014. – Vol.1. – P. 72–84. 11. Lee J.J. Modeling Aviation's Global Emissions, Uncertainty Analysis, and Applications to Policy: Diss … Cand Eng. Science: Aeronautics and Astronautics / Lee J.J.; Dept., Mass. Inst. of Technology – Cambridge, MA, 2005. – P. 381–395. 12. Abschlussbericht zum Kooperationsvertrag zwischen Forschungszentrum Karlsruhe GmbH – IMK-IFU und Deutscher Lufthansa AG – Umweltkonzepte Konzern "Messung von Triebwerksemissionen zur Untersuchung von Alterungsprozessen mit Hilfe optischer Messverfahren", 2007. 13. Synylo K. NOx Emission model of turbofan engine / K.Synylo, N. Duchene // International Journal of Sustainable Aviation. – 2014. – 1(1). – P. 72–84. 14. Soares C. Gas Turbine: A Handbook of Air, Land and Sea Applications. 3rd ed. / C. Soares. – London: Elsevier Science & Technology, 2008. – P. 397. 15. Eyers Chris. Responses to actions related to the ADAECAM method / Chris Eyers, QinetiQ – CAEP/8. – 2008. 16. NOx emission indices of subsonic longrange jet aircraft at cruise altitude: in-situ measurements and predictions / P. Schulte, H. Schläger, H. Ziereis, U. Schumann // Journal of Geophysical Research. – 1997. – (102). – 17.– P. 21.431–22.442. 17. Federal Office of Civil Aviation, Swiss Confederation. ADAECAM Validation Report. – 2007 18. Duchêne N. Deliverable D1 – Validation Test Report, CS-GA-2009-255674-TURBOGAS / N. Duchêne, K. Synylo, S. Carlier-Haouzi // TURBOGAS Deliverable. – 2011. – 83 p. 19. Synylo K. P3T3 NOX MODEL OF TURBOFAN ENGINE / K.Synylo, Nicolas Duchene // International Symposium on Sustainable Aviation:Proceeding Book of ISSA (Rome. – July 9–11, 2018). – Rome, 2018. – P. 137–140. // ISBN 978-605-68640.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".