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估算应急物资运输产生的一氧化碳排放量:以新冠疫苗全球航空运输为例。

Estimating CO emissions from emergency-supply transport: The case of COVID-19 vaccine global air transport.

作者信息

Sajid Muhammad Jawad, Ali Ghaffar, Santibanez Gonzalez Ernesto D R

机构信息

School of Engineering Management, Xuzhou University of Technology, Xuzhou, Jiangsu, China.

College of Management, Shenzhen University, Shenzhen, 518060, China.

出版信息

J Clean Prod. 2022 Mar 15;340:130716. doi: 10.1016/j.jclepro.2022.130716. Epub 2022 Feb 3.

DOI:10.1016/j.jclepro.2022.130716
PMID:35132298
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8810292/
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 CO 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 -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 CO. As countries secure additional doses, these figures will increase to 14,912 flights and about 15 ± 0.48 kt of CO. According to the variance-based sensitivity analysis, the total number of doses (population), technology, and wealth play a significant role in determining CO 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 CO burdens associated with current COVID-19 and any future disasters' emergency-supply transportation.

摘要

与灾害相关的应急物资所产生的环境成本十分巨大。然而,针对应急物资运输相关碳排放的估算研究却很少。本研究创建了一种“应急物资排放估算方法”(ESEEM)。利用人均一剂和额外储备剂量这两种假设情景,估算了新冠疫苗全球航空运输的碳排放。基于单样本检验,采用蒙特卡洛模拟方法(MCM)对模型的稳健性进行了测试。使用《测量不确定度表示指南》(GUM)及其MCM方法对模型进行了验证。结果表明,要向78亿人至少分发一剂新冠疫苗,将需要近8000架波音747航班,排放约8.1±0.30公吨二氧化碳。随着各国储备额外剂量,这些数字将增至14912架航班和约15±0.48公吨二氧化碳。根据基于方差的敏感性分析,总剂量(人口)、技术和财富在决定各国碳排放方面起着重要作用。因此,富裕国家长期的人口减少努力、技术进步和减排努力,能够使整个环境以及与当前新冠疫情和未来任何灾害应急物资运输相关的碳排放负担受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/4aae62b9e943/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/246dd51bee1c/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/a46110727929/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/2072a5d5a1f4/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/4b98669e2da1/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/b2100db7adb4/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/fef1849f5c9e/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/4aae62b9e943/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/246dd51bee1c/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/a46110727929/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/2072a5d5a1f4/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/4b98669e2da1/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/b2100db7adb4/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/fef1849f5c9e/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/493b/8810292/4aae62b9e943/gr6_lrg.jpg

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Transp Res E Logist Transp Rev. 2021 Apr;148:102249. doi: 10.1016/j.tre.2021.102249. Epub 2021 Feb 13.
3
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J Transp Geogr. 2021 May;93:103039. doi: 10.1016/j.jtrangeo.2021.103039. Epub 2021 Mar 31.
4
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity.更好地重建:新冠疫情及其对一座发展中大城市交通政策的影响
Sustain Cities Soc. 2021 Jun;69:102864. doi: 10.1016/j.scs.2021.102864. Epub 2021 Mar 20.
5
Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic.基于新冠疫情初期的居家办公及其对战略交通模型的影响
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6
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Transp Policy (Oxf). 2021 Sep;110:37-57. doi: 10.1016/j.tranpol.2021.05.013. Epub 2021 May 30.
7
A methodologically sound survey of Chinese consumers' willingness to participate in courier, express, and parcel companies' green logistics.一项关于中国消费者参与快递、快运和包裹公司绿色物流意愿的方法可靠的调查。
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8
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Ann Oper Res. 2021 Jun 4:1-27. doi: 10.1007/s10479-021-04091-3.
9
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J Air Transp Manag. 2021 Jul;94:102085. doi: 10.1016/j.jairtraman.2021.102085. Epub 2021 May 21.
10
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Transp Policy (Oxf). 2021 Jun;106:54-63. doi: 10.1016/j.tranpol.2021.03.009. Epub 2021 Mar 26.