Evidence map›Paper›PMID 36430125›Full record

ArticleInternational journal of environmental research and public health2022

Sensitivity of a Dynamic Model of Air Traffic Emissions to Technological and Environmental Factors.

Francisco A Buendia-Hernandez, Maria J Ortiz Bevia, Francisco J Alvarez-Garcia, Antonio Ruizde Elvira

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Francisco A Buendia-HernandezDepartamento de Física y Matemáticas, Universidad de Alcalá, Alcalá de Henares, 28871 Madrid, Spain.ORCID 0000-0003-3053-9042
Maria J Ortiz BeviaDepartamento de Física y Matemáticas, Universidad de Alcalá, Alcalá de Henares, 28871 Madrid, Spain.
Francisco J Alvarez-GarciaDepartamento de Física y Matemáticas, Universidad de Alcalá, Alcalá de Henares, 28871 Madrid, Spain.ORCID 0000-0001-5693-7124
Antonio Ruizde ElviraDepartamento de Física y Matemáticas, Universidad de Alcalá, Alcalá de Henares, 28871 Madrid, Spain.
Universidad de Alcalá · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we introduce a sensitivity analysis of modelled CO2 aviation emissions to changes in the model parameters, which is intended as a contribution to the understanding of the atmospheric composition stabilization issue. The two variable dynamic model incorporates the effects of the technological innovations on the emissions rate, the environmental feedback, and a non-linear control term on the passengers rate. The model parameters, estimated from different air traffic sources, are subject to considerable uncertainty. The stability analysis of Monte Carlo simulations revealed that, for certain values of the non-linear term parameter and depending on the type of flight, the passengers number at some equilibrium points exceeded its initial value, while the emissions level was below the initial corresponding one. The results of two global sensitivity analyses indicated that the influence of the non-linear term prevailed on the passengers number rate, followed distantly by the environmental feedback. For the emissions rate, the non-linear term contribution dominated, with the technological term influence placing second.

Indexed as

AviationTechnologyMonte Carlo MethodUncertaintyair traffic emissionsdynamic controldynamic system modelenvironmental feedbackMorris and Sobol sensitivity analysistechnological innovation

Identifiers

PMID36430125
PMCPMC9697098
OpenAlexW4309719960

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.