Estimating CO2 emissions from emergency-supply transport: The case of COVID-19 vaccine global air transport. (15th March 2022)
- Record Type:
- Journal Article
- Title:
- Estimating CO2 emissions from emergency-supply transport: The case of COVID-19 vaccine global air transport. (15th March 2022)
- Main Title:
- Estimating CO2 emissions from emergency-supply transport: The case of COVID-19 vaccine global air transport
- Authors:
- Sajid, Muhammad Jawad
Ali, Ghaffar
Santibanez Gonzalez, Ernesto D.R. - Abstract:
- Abstract: The environmental cost of disaster-related emergency supplies is significant. However, little research has been conducted on the estimation of emergency-supply transportation-related carbon emissions. This study created an "emergency supply emission estimation methodology" (ESEEM). The CO2 emissions from the global air dispatch of COVID-19 vaccines were estimated using two hypothetical scenarios of one dose per capita and additional doses secured. The robustness of the model was tested with the Monte Carlo Simulation method (MCM) based one-sample t -test. The model was validated using the "Expression of Uncertainty in Measurement (GUM)" and GUM's MCM approaches. The results showed that to dispatch at least one dose of the COVID-19 vaccine to 7.8 billion people, nearly 8000 Boeing 747 flights will be needed, releasing approximately 8.1 ± 0.30 metric kilotons (kt) of CO2 . As countries secure additional doses, these figures will increase to 14, 912 flights and about 15 ± 0.48 kt of CO2 . According to the variance-based sensitivity analysis, the total number of doses (population), technology, and wealth play a significant role in determining CO2 emissions across nations. Thus, wealthy nations' long-term population reduction efforts, technological advancements, and mitigation efforts can benefit the environment as a whole and the CO2 burdens associated with current COVID-19 and any future disasters' emergency-supply transportation. Graphical abstract: Image 1Abstract: The environmental cost of disaster-related emergency supplies is significant. However, little research has been conducted on the estimation of emergency-supply transportation-related carbon emissions. This study created an "emergency supply emission estimation methodology" (ESEEM). The CO2 emissions from the global air dispatch of COVID-19 vaccines were estimated using two hypothetical scenarios of one dose per capita and additional doses secured. The robustness of the model was tested with the Monte Carlo Simulation method (MCM) based one-sample t -test. The model was validated using the "Expression of Uncertainty in Measurement (GUM)" and GUM's MCM approaches. The results showed that to dispatch at least one dose of the COVID-19 vaccine to 7.8 billion people, nearly 8000 Boeing 747 flights will be needed, releasing approximately 8.1 ± 0.30 metric kilotons (kt) of CO2 . As countries secure additional doses, these figures will increase to 14, 912 flights and about 15 ± 0.48 kt of CO2 . According to the variance-based sensitivity analysis, the total number of doses (population), technology, and wealth play a significant role in determining CO2 emissions across nations. Thus, wealthy nations' long-term population reduction efforts, technological advancements, and mitigation efforts can benefit the environment as a whole and the CO2 burdens associated with current COVID-19 and any future disasters' emergency-supply transportation. Graphical abstract: Image 1 Highlights: We developed a new method to estimate disaster-related emergency supply emissions. We estimated the CO2 emissions from the COVID-19 vaccine's global air transport. We filled a gap in emergency-supplies environmental impact literature. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 340(2022)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 340(2022)
- Issue Display:
- Volume 340, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 340
- Issue:
- 2022
- Issue Sort Value:
- 2022-0340-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03-15
- Subjects:
- COVID-19 -- IPAT analysis -- "Expression of uncertainty in measurement (GUM)" -- Monte Carlo simulation -- Natural and unnatural disaster -- Sustainability
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2022.130716 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
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