Increased Impact of Aviation on Air Quality and Human Health in China

Zhang, Jingran; Jiang, Yiliang; Wang, Yunjie; Zhang, Shaojun; Wu, Ye; Wang, Shuxiao; Nielsen, Chris P.; McElroy, Michael B.; Hao, Jiming

doi:10.1021/acs.est.3c05821

Cited by 7 publications

(2 citation statements)

References 33 publications

(72 reference statements)

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“…This initiative not only improved air quality but also had a positive effect on public health. A study by Wang et al (2019) found that "The "Coal-to-Gas" program in Beijing led to a notable reduction in PM2.5 levels, resulting in a decrease in premature mortality due to air pollution" [23].…”

Section: Beijing's "Coal-to-gas" Conversion Programmentioning

confidence: 99%

Air Quality Assessment and Pollution Mitigation Strategies in Beijing: A Comprehensive Study on PM2.5 Trends, Influencing Factors, and Case Studies

Shen

2024

HSET

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Air quality, in cities is a concern because it directly affects people’s health and the environment. This study explores the dynamics of pollution in urban areas focusing on Beijing as a case example. PM2.5 refers to particles smaller than 2.5 micrometers that're a significant air pollutant with harmful health effects. The study starts by examining data and trends of PM2.5 levels in Beijing shedding light on the factors that have influenced its concentrations over time. It also investigates the methods used to collect data, analyze trends and make predictions about patterns. Additionally, the research looks into factors that impact concentrations in cities, such as weather conditions, geography and human activities emphasizing how urbanization, transportation systems, government policies and public awareness contribute to either worsening or reducing PM2.5 pollution levels. By drawing insights from case studies like Beijings "Coal to Gas" Conversion Program and smog reduction efforts in Los Angeles the paper emphasizes the significance of policies and international cooperation, in tackling pollution.

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Section: Beijing's "Coal-to-gas" Conversion Programmentioning

confidence: 99%

Air Quality Assessment and Pollution Mitigation Strategies in Beijing: A Comprehensive Study on PM2.5 Trends, Influencing Factors, and Case Studies

Shen

2024

HSET

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“…Aviation-related PM 2.5 contributes approximately 1% to the total premature mortality attributed to PM 2.5 exposure. It is estimated that in 2017, approximately 67,000 deaths occurred in China due to environmental PM 2.5 and O 3 emissions, with the densely populated coastal regions of eastern China experiencing the greatest impact due to intensive aviation activities [115]. Compared with standard aviation fuel with a fuel sulfur content (FSC) of around 600 ppm, the use of ultra-low sulfur jet fuel (ULSJ) with an FSC of 15 ppm effectively reduces surface PM 2.5 concentrations, preventing approximately 620 deaths annually.…”

Section: Aviation Pm Emissionsmentioning

confidence: 99%

Comparison of Emission Properties of Sustainable Aviation Fuels and Conventional Aviation Fuels: A Review

Song,

Li,

Liu

2024

Applied Sciences

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In order to achieve the International Air Transport Association’s (IATA) goal of achieving net-zero emissions in the aviation industry by 2050, there has been a growing emphasis globally on the technological development and practical application of sustainable aviation fuels (SAFs). Discrepancies in feedstock and production processes result in differences in composition between SAFs and traditional aviation fuels, ultimately affecting the emission performance of the two types of fuel. This paper discusses the impact of CO2/NOx/SO2/CO/PM/UHC emissions from the aviation industry on the natural environment and human health by comparing the two types of fuel under the same conditions. Fuel combustion is a complex process in the combustor of an engine, which transfers chemical energy into heat energy. The completeness of combustion is related to the fuel properties, including spray, evaporation, and flammability. Therefore, engine performance is not only affected by fuel performance, but also interacts with engine structure and control laws. The CO2 emissions of SAFs differ significantly from traditional aviation fuels from a lifecycle analysis perspective, and most SAFs can reduce CO2 emissions by 41–89%. Compared with traditional aviation fuels, SAFs and blended fuels can significantly reduce SO2 and PM emissions. Pure Fischer–Tropsch hydroprocessed synthesized paraffinic kerosine (FT-SPK) can reduce SO2 and PM emissions by 92% and 70–95% respectively, owing to its extremely low sulfur and aromatic compound content. In contrast, the differences in NOx emissions between the two types of fuel are not significant, as their generation mechanisms largely stem from thermal drive and turbulent flow in the combustor, with emissions performance being correlated to power output and flame temperature profile in engine testing. CO and UHC emissions are related to engine operating conditions and the physical/chemical properties of the SAFs, with no significant upward or downward trend. Therefore, SAFs have significant advantages over conventional aviation fuels in terms of CO2, SO2, and PM emissions, and can effectively reduce the hazards of aviation to the environment and human health.

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Insights into civil aviation emissions in China: Analysis of an emission inventory of air pollutants and the ChinaHighAirPollutants (CHAP) dataset

Xu,

You,

Zhang

et al. 2024

Atmospheric Environment: X

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Increased Impact of Aviation on Air Quality and Human Health in China

Cited by 7 publications

References 33 publications

Air Quality Assessment and Pollution Mitigation Strategies in Beijing: A Comprehensive Study on PM2.5 Trends, Influencing Factors, and Case Studies

Air Quality Assessment and Pollution Mitigation Strategies in Beijing: A Comprehensive Study on PM2.5 Trends, Influencing Factors, and Case Studies

Comparison of Emission Properties of Sustainable Aviation Fuels and Conventional Aviation Fuels: A Review

Insights into civil aviation emissions in China: Analysis of an emission inventory of air pollutants and the ChinaHighAirPollutants (CHAP) dataset

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