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Pennington AF, Cornwell CR, Sircar KD, Mirabelli MC. Electric vehicles and health: A scoping review. ENVIRONMENTAL RESEARCH 2024; 251:118697. [PMID: 38499224 PMCID: PMC11273362 DOI: 10.1016/j.envres.2024.118697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 02/12/2024] [Accepted: 03/11/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND The health impacts of the rapid transition to the use of electric vehicles are largely unexplored. We completed a scoping review to assess the state of the evidence on use of battery electric and hybrid electric vehicles and health. METHODS We conducted a literature search of MEDLINE, Embase, Global Health, CINAHL, Scopus, and Environmental Science Collection databases for articles published January 1990 to January 2024. We included articles if they presented observed or modeled data on the association between battery electric or hybrid electric cars, trucks, or buses and health-related outcomes. We abstracted data and summarized results. RESULTS Out of 897 reviewed articles, 52 met our inclusion criteria. The majority of included articles examined transitions to the use of electric vehicles (n = 49, 94%), with fewer studies examining hybrid electric vehicles (n = 11, 21%) or plug-in hybrid electric vehicles (n = 8, 15%). The most common outcomes examined were premature death (n = 41, 79%) and monetized health outcomes such as medical expenditures (n = 33, 63%). We identified only one observational study on the impact of electric vehicles on health; all other studies reported modeled data. Almost every study (n = 51, 98%) reported some evidence of a positive health impact of transitioning to electric or hybrid electric vehicles, although magnitudes of association varied. There was a paucity of information on the environmental justice implications of vehicle transitions. CONCLUSIONS The results of the current literature on electric vehicles and health suggest an overall positive health impact of transitioning to electric vehicles. Additional observational studies would help expand our understanding of the real-world health effects of electric vehicles. Future research focused on the environmental justice implications of vehicle fleet transitions could provide additional information about the extent to which the health benefits occur equitably across populations.
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Affiliation(s)
- Audrey F Pennington
- Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Cheryl R Cornwell
- Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Kanta Devi Sircar
- Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA; Commissioned Corps, United States Public Health Service, Rockville, MD, USA
| | - Maria C Mirabelli
- Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
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2
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Torbatian S, Saleh M, Xu J, Minet L, Gamage SM, Yazgi D, Yamanouchi S, Roorda MJ, Hatzopoulou M. Societal Co-benefits of Zero-Emission Vehicles in the Freight Industry. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:7814-7825. [PMID: 38668733 DOI: 10.1021/acs.est.3c08867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
This study was set in the Greater Toronto and Hamilton Area (GTHA), where commercial vehicle movements were assigned across the road network. Implications for greenhouse gas (GHG) emissions, air quality, and health were examined through an environmental justice lens. Electrification of light-, medium-, and heavy-duty trucks was assessed to identify scenarios associated with the highest benefits for the most disadvantaged communities. Using spatially and temporally resolved commercial vehicle movements and a chemical transport model, changes in air pollutant concentrations under electric truck scenarios were estimated at 1-km2 resolution. Heavy-duty truck electrification reduces ambient black carbon and nitrogen dioxide on average by 10 and 14%, respectively, and GHG emissions by 10.5%. It achieves the highest reduction in premature mortality attributable to fine particulate matter chronic exposure (around 200 cases per year) compared with light- and medium-duty electrification (less than 150 cases each). The burden of all traffic in the GTHA was estimated to be around 600 cases per year. The benefits of electrification accrue primarily in neighborhoods with a high social disadvantage, measured by the Ontario Marginalization Indices, narrowing the disparity of exposure to traffic-related air pollution. Benefits related to heavy-duty truck electrification reflect the adverse impacts of diesel-fueled freight and highlight the co-benefits achieved by electrifying this sector.
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Affiliation(s)
- Sara Torbatian
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario,Canada M5S 1A4
| | - Marc Saleh
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario,Canada M5S 1A4
| | - Junshi Xu
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario,Canada M5S 1A4
| | - Laura Minet
- Department of Civil Engineering, University of Victoria, Victoria, British Columbia, Canada V8W 2Y2
| | | | - Daniel Yazgi
- Department of Research and Development, Swedish Meteorological and Hydrological Institute, Norrköping 60176, Sweden
| | - Shoma Yamanouchi
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario,Canada M5S 1A4
| | - Matthew J Roorda
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario,Canada M5S 1A4
| | - Marianne Hatzopoulou
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario,Canada M5S 1A4
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Xie H, Chen B, Dai M, Han Z, Bai Y, Xie W, Wang Y. Upgrading Passenger Vehicle Emission Standard Helps to Reduce China's Air Pollution Risk from Uncertainty in Electrification. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:5325-5335. [PMID: 38409740 DOI: 10.1021/acs.est.3c10078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Upgrading to the CHINA 7 standard is crucial for managing air pollution from passenger vehicles in China. Meanwhile, China aims to achieve carbon neutrality by 2060, which necessitates large-scale replacement of gasoline vehicles with electric vehicles in the future. Consequently, the public might view upgrading gasoline vehicles to the CHINA 7 standard as redundant. However, the emission reduction benefits of upgrading standards in the context of uncertain electrification ambitions have not received adequate attention. Here, we show that upgrading standards will compensate for the absence of emissions reductions due to hindered electrification efforts. In the best scenario, China's CO2 emissions can be reduced to 0.047 Gt and NOx to 8.2 × 103 t in 2050. In nonextreme electrification scenarios with CHINA 7 standard, the emission intensity reduction will remain the main driver for emission reductions, outweighing the electrification contribution. In extreme electrification scenarios, upgrading standards will tackle the increased emissions from plug-in hybrid electric vehicles. Our fleet-level results advocate for early standards upgrades to enhance resilience against air pollution risks arising from uncertainties in electrification. Our evidence from China, with one of the most stringent emission standards, can provide a reference point for the world on the upgrading passenger vehicle emission standard issue.
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Affiliation(s)
- Hongyi Xie
- Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Bin Chen
- Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Min Dai
- Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Zhixiu Han
- Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Yixuan Bai
- Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Wei Xie
- Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Yutao Wang
- Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
- Institute of Eco-Chongming (IEC), No.3663 Northern Zhongshan Road, Shanghai 200062, China
- IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
- Shanghai Institute for Energy and Carbon Neutrality Strategy, Fudan University, Shanghai 200438, China
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4
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Zhang S, Jiang Y, Zhang S, Choma EF. Health benefits of vehicle electrification through air pollution in Shanghai, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169859. [PMID: 38190893 DOI: 10.1016/j.scitotenv.2023.169859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/08/2023] [Accepted: 12/31/2023] [Indexed: 01/10/2024]
Abstract
Vehicle electrification has been recognized for its potential to reduce emissions of air pollutants and greenhouse gases in China. Several studies have estimated how national-level policies of electric vehicle (EV) adoption might bring very large environmental and public health benefits from improved air quality to China. However, large-scale adoption is very costly, some regions derive more benefits from large-scale EV adoption than others, and the benefits of replacing internal combustion engines in specific cities are less known. Therefore, it is important for policymakers to design incentives based on regional characteristics - especially for megacities like Shanghai - which typically suffer from worse air quality and where a larger population is exposed to emissions from vehicles. Over the past five years, Shanghai has offered substantial personal subsidies for passenger EVs to accelerate its electrification efforts. Still, it remains uncertain whether EV benefits justify the strength of incentives. The purpose of our study is to evaluate the health and climate benefits of replacing light-duty gasoline vehicles (ICEVs) with battery EVs in the city of Shanghai. We assess health impacts due to ICEV emissions of primary fine particulate matter, NOx, and volatile organic compounds, and to powerplant emissions of NOx and SO2 due to EV charging. We incorporate climate benefits from reduced greenhouse gas emissions based on existing research. We find that the benefit of replacing the average ICEV with an EV in Shanghai is US$6400 (2400-14,700), with health impacts of EVs about 20 times lower than the average ICEV. Larger benefits ensue if older ICEVs are replaced, but replacing newer China ICEVs also achieves positive health benefits. As Shanghai plans to stop providing personal subsidies for EV purchases in 2024, our results show that EVs achieve public health and climate benefits and can help inform policymaking strategies in Shanghai and other megacities.
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Affiliation(s)
- Saiwen Zhang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yiliang Jiang
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Shaojun Zhang
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Ernani F Choma
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
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5
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Zhao X, Hu H, Yuan H, Chu X. How does adoption of electric vehicles reduce carbon emissions? Evidence from China. Heliyon 2023; 9:e20296. [PMID: 37809651 PMCID: PMC10560050 DOI: 10.1016/j.heliyon.2023.e20296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 10/10/2023] Open
Abstract
We investigate the effect of the adoption of electric vehicles (EVs) on CO2 emissions using spatial econometric models and have three findings. First, there are spatial spillover effects of EV adoption on CO2 emissions, implying that the CO2 mitigation of a city depends on local sales of EVs and sales of EVs in neighboring cities. A 1% increase in the sale of EVs in a city can reduce CO2 emissions locally by 0.096% and by 0.087% in a nearby city. Second, EVs indirectly impact CO2 emissions through the substitution effect, energy consumption effect, and technological effect. The overall impact of EV adoption on CO2 emissions is negative. Finally, we demonstrate the moderating effect of urban energy structure on EVs' CO2 emissions mitigation. A 1% increase in the proportion of renewable energy generation increases the decarbonization of EVs by 0.036%. These findings provide policy implications for the coordinated development of EV market and energy system.
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Affiliation(s)
- Xiaolei Zhao
- School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China
| | - Hui Hu
- Center for Economic Development Research, Wuhan University, Wuhan, 430072, China
- School of Economics and Management, Wuhan University, Wuhan, 430072, China
| | - Hongjie Yuan
- School of Economics and Management, Wuhan University, Wuhan, 430072, China
| | - Xin Chu
- Wuhan Donghu University, Wuhan, 430063, China
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Wang Z, Zhang H, Wang B, Li H, Ma J, Zhang B, Zhuge C, Shan Y. Trade-Offs between Direct Emission Reduction and Intersectoral Additional Emissions: Evidence from the Electrification Transition in China's Transport Sector. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:11389-11400. [PMID: 37343129 DOI: 10.1021/acs.est.3c00556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/23/2023]
Abstract
Electrifying the transport sector is crucial for reducing CO2 emissions and achieving Paris Agreement targets. This largely depends on rapid decarbonization in power plants; however, we often overlook the trade-offs between reduced transportation emissions and additional energy-supply sector emissions induced by electrification. Here, we developed a framework for China's transport sector, including analyzing driving factors of historical CO2 emissions, collecting energy-related parameters of numerous vehicles based on the field- investigation, and assessing the energy-environment impacts of electrification policies with national heterogeneity. We find holistic electrification in China's transport sector will cause substantial cumulative CO2 emission reduction (2025-2075), equivalent to 19.8-42% of global annual emissions, but with a 2.2-16.1 GtCO2 net increase considering the additional emissions in energy-supply sectors. It also leads to a 5.1- to 6.7-fold increase in electricity demand, and the resulting CO2 emissions far surpass the emission reduction achieved. Only under 2 and 1.5 °C scenarios, forcing further decarbonization in the energy supply sectors, will the holistic electrification of transportation have a robust mitigation effect, -2.5 to -7.0 Gt and -6.4 to -11.3 Gt net-negative emissions, respectively. Therefore, we conclude that electrifying the transport sector cannot be a one-size-fits-all policy, requiring synergistically decarbonization efforts in the energy-supply sectors.
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Affiliation(s)
- Zhaohua Wang
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing 100081, China
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
- Sustainable Development Research Institute for Economy and Society of Beijing, Beijing100081, China
| | - Hongzhi Zhang
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing 100081, China
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, U.K
| | - Bo Wang
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing 100081, China
- Sustainable Development Research Institute for Economy and Society of Beijing, Beijing100081, China
| | - Hao Li
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing 100081, China
| | - Junhua Ma
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing 100081, China
| | - Bin Zhang
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing 100081, China
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
| | - Chengxiang Zhuge
- Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China
| | - Yuli Shan
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, U.K
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7
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Fang YR, Sun X, Zhang S, Liu G, Liu X, Zhang P, Kang Y, Dai H. Regionally differentiated promotion of electric vehicles in China considering environmental and human health impacts. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2023; 18:074022. [PMID: 37362199 PMCID: PMC10285718 DOI: 10.1088/1748-9326/acdbde] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 05/12/2023] [Accepted: 06/06/2023] [Indexed: 06/28/2023]
Abstract
Private passenger vehicles, with its high emissions of CO2 and air pollutants, poses a severe threat to global climate and human health, particularly for a large developing country like China. Although both energy efficiency improvement of internal combustion engine vehicles (ICEVs) and the wide adoption of electric vehicles (EVs) could contribute to reducing emissions, how they should be jointly implemented in provinces with a heterogeneous context to maximize their net benefits remains insufficiently explored. Here, based on an integrated modeling framework associated with one factual (REF) and four counterfactual scenarios to explore the priority and best-ranked ordering of both EVs' penetration and high energy-efficient ICEVs in 31 Chinese provinces to achieve the most environmental and human health benefits from 2011 to 2018. The results demonstrate that electrification of the passenger fleet, which is charged by a slightly cleaner power source relative to 2011, yields significant co-benefits of CO2 reduction and air quality improvement. Compared with REF, the fleet electrification scenario would lead to 3167 cases of avoided mortality and attain US$4.269 billion of health benefits in 2018, accounting for 0.03% of China's gross domestic product. Nonetheless, highly efficient ICEVs are found to harbor decarbonization potential and health benefits in northern China. Based on these results, Sichuan, Hebei and seven other provinces in east China should promote EVs imminently; conversely, eight provinces with a high share of thermal power must continually advance their implementation of ICEVs in the near future. Such prioritization of EVs and ICEV development at the provincial level provides timely insights for devising tailored policies regarding passenger car transition and for maximizing climate and health benefits based on regional heterogeneity.
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Affiliation(s)
- Yan Ru Fang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, People’s Republic of China
| | - Xin Sun
- China Automotive Technology and Research Center Co., Ltd, No. 68, East Xianfeng Road, Dongli District, Tianjin 300300, People’s Republic of China
- Automotive Data of China (Tianjin) Co., Ltd, No. 3 Wanhui Road, Zhongbei Town, Xiqing District, Tianjin 300393, People’s Republic of China
- Automotive Data of China Co., Ltd, Boxing 6th Road, Beijing Economic Development Zone, Beijing 100176, People’s Republic of China
| | - Silu Zhang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, People’s Republic of China
| | - Gang Liu
- College of Urban and Environmental Sciences, Peking University, Beijing 100871, People’s Republic of China
| | - Xiaorui Liu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, People’s Republic of China
| | - Peng Zhang
- China Automotive Technology and Research Center Co., Ltd, No. 68, East Xianfeng Road, Dongli District, Tianjin 300300, People’s Republic of China
- Automotive Data of China (Tianjin) Co., Ltd, No. 3 Wanhui Road, Zhongbei Town, Xiqing District, Tianjin 300393, People’s Republic of China
- Automotive Data of China Co., Ltd, Boxing 6th Road, Beijing Economic Development Zone, Beijing 100176, People’s Republic of China
| | - Yifei Kang
- Beijing Yiwei New Energy Vehicles Big Data Application &Technology Research Center, 2 North Xisanhuan Road, Haidian District, Beijing 100081, People’s Republic of China
| | - Hancheng Dai
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, People’s Republic of China
- Institute for Global Health and Development, Peking University, Beijing 100871, People’s Republic of China
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Zhao N, Elshareef H, Li B, Wang B, Jia Z, Zhou L, Liu Y, Sultan M, Dong R, Zhou Y. The efforts of China to combat air pollution during the period of 2015-2018: A case study assessing the environmental, health and economic benefits in the Beijing-Tianjin-Hebei and surrounding "2 + 26" regions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 853:158437. [PMID: 36057303 DOI: 10.1016/j.scitotenv.2022.158437] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/14/2022] [Accepted: 08/28/2022] [Indexed: 06/15/2023]
Abstract
During the period of 2015-2018, Chinese government had made great efforts to mitigate air pollutants, such as air quality monitoring, energy structure adjustment, and pollutant emission reduction from industry, transportation and household sectors. With the special investment of 152 billion Chinese Yuan (CNY) in the Beijing-Tianjin-Hebei (BTH) and surrounding "2 + 26" regions, the annual local concentrations of PM2.5, PM10, SO2 and NO2 decreased from 77, 132, 38 and 46 μg/m3 to 60, 109, 20 and 43 μg/m3. It was estimated that the improvement in air quality avoided 27,021 (95 % CIs 12,548-39,738) premature deaths attributed to air pollution exposure based on an exposure-response function, including 45 %, 17 % and 15 % of cardiopulmonary, lung cancer and respiratory morality cases. Air pollution reduction was also effective in reducing work time loss, which reduced the total working time loss by 3.8 × 107 (95 % CIs 1.8 × 107-5.6 × 107) h, and the per capita working time loss by 0.28 (95 % CIs 0.13-0.41) h/capita by 2018. From the economic aspect, air pollution control actions in those regions saved 95.6 (95 % CIs 44.2-141) billion CNY economic loss by using the value of statistical life (VSL). The total benefit-cost ratio was 63.7 % (95 % CIs 29.4 %-93.7 %). The cost-effectiveness in Beijing and Tianjin were relatively low due to the regional contribution from other cities of the air pollution transmission channel. Despite the uncertainties, the results clearly show the significance of the environmental, health and economic benefits of actions in the BTH and surrounding "2 + 26" regions for combating air pollution.
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Affiliation(s)
- Nan Zhao
- Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou, He'nan Province 450001, China; Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
| | - Hussien Elshareef
- Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China
| | - Bowen Li
- Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China
| | - Baoming Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, He'nan Province 450001, China
| | - Zhuangzhuang Jia
- Key Laboratory of Modern Agricultural Engineering, Department of Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, Xinjiang Uygur Autonomous Region 843300, China
| | - Ling Zhou
- Key Laboratory of Modern Agricultural Engineering, Department of Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, Xinjiang Uygur Autonomous Region 843300, China.
| | - Yong Liu
- School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Muhammad Sultan
- Department of Agricultural Engineering, Bahauddin Zakariya University, Multan 60800, Pakistan
| | - Renjie Dong
- Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China; Yantai Institute, China Agricultural University, No. 2006 Binhai Zhonglu, Laishan District, Yantai, Shandong Province 264670, China
| | - Yuguang Zhou
- Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China.
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9
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Ou Y, Kittner N, Babaee S, Smith SJ, Nolte CG, Loughlin DH. Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model. APPLIED ENERGY 2021; 300:1-117364. [PMID: 34764534 PMCID: PMC8576614 DOI: 10.1016/j.apenergy.2021.117364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
While large-scale adoption of electric vehicles (EVs) globally would reduce carbon dioxide (CO2) and traditional air pollutant emissions from the transportation sector, emissions from the electric sector, refineries, and potentially other sources would change in response. Here, a multi-sector human-Earth systems model is used to evaluate the net long-term emission implications of large-scale EV adoption in the US over widely differing pathways of the evolution of the electric sector. Our results indicate that high EV adoption would decrease net CO2 emissions through 2050, even for a scenario where all electric sector capacity additions through 2050 are fossil fuel technologies. Greater net CO2 reductions would be realized for scenarios that emphasize renewables or decarbonization of electricity production. Net air pollutant emission changes in 2050 are relatively small compared to expected overall decreases from recent levels to 2050. States participating in the Regional Greenhouse Gas Initiative experience greater CO2 and air pollutant reductions on a percentage basis. These results suggest that coordinated, multi-sector planning can greatly enhance the climate and environmental benefits of EVs. Additional factors are identified that influence the net emission impacts of EVs, including the retirement of coal capacity, refinery operations under reduced gasoline demands, and price-induced fuel switching in residential heating and in the industrial sector.
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Affiliation(s)
- Yang Ou
- Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
| | - Noah Kittner
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Samaneh Babaee
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
- Oak Ridge Institute for Science and Education (ORISE) Fellow, USA
| | - Steven J. Smith
- Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
| | - Christopher G. Nolte
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Daniel H. Loughlin
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
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