Air quality and health co-benefits of vehicle electrification and emission controls in the most populated United States urban hubs: Insights from New York, Los Angeles, Chicago, and Houston

Mousavinezhad, Seyedali; Choi, Yunsoo; Khorshidian, Nima; Ghahremanloo, Masoud; Momeni, Mahmoudreza

doi:10.1016/j.scitotenv.2023.169577

Cited by 5 publications

(3 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vehicular non-exhaust particulate matter contains chemicals including polycyclic aromatic hydrocarbons (PAHs), heavy metals and emerging pollutants (EPs) which enhance the health impacts in animals and humans where they are deposited (Mousavinezhad et al, 2024;Niu et al, 2024;O'Sharkey et al, 2024;OECD, 2020;Wagner et al, 2024;WHO, 2021). Evidence shows that non-exhaust poses more challenges to air quality than exhaust, but our understanding of it lags.…”

Section: Introductionmentioning

confidence: 99%

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM_2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement

Fang,

Fu,

Gao

et al. 2024

JGR Atmospheres

View full text Add to dashboard Cite

The benefit of real‐world applicable indicators in resolving robust traffic‐related source contributions was investigated using tunnel measurement. PM2.5/CO was introduced as a metric to present evidence in non‐exhaust identification indirectly in terms of PM2.5 accumulation and dilution scenarios, and the rates (hourly variation of the difference between PM2.5 and PM2.5/CO) were 0.59−1.88 and −0.79 to −0.65, corresponding to peak and off‐peak hours, respectively. Real‐world PAHs indicators were examined, among which the exhaust indicators showed stable applicability from BghiP, and the non‐exhaust indication noted by BkF and DahA in peak hours were largely weakened in off‐peak hours, showing noticeable profile mixing between exhaust, brake and tyre wear. Source contributions were resolved by principal component analysis (PCA) with support of linear discriminant analysis (LDA) on inter‐group centroid diagnosis. The rate of vehicular non‐exhaust (brake and tyre wear) contribution lifted 10.3 times in peak hours compared with off‐peak hours, and its emission factor was noticeably enhanced 16 times, from 0.03 mg/(km·veh) to 0.48 mg/(km·veh). Guided by global vehicle electrification, the contribution of non‐exhaust in vehicular emissions were estimated to increase with larger ratio of emission factor between non‐exhaust and exhaust, and the growing market share of electric vehicles, under each mode of regenerative braking. The monetary impact of non‐exhaust caused by electric vehicles was calculated reaching the exhaust when electric vehicles increase to 50% in busy commuting megacities. The results provide applicable indicators for accurate source apportionment and support data for the refined control of non‐exhaust emission under rapid vehicle electrification.

show abstract

Section: Introductionmentioning

confidence: 99%

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM_2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement

Fang,

Fu,

Gao

et al. 2024

JGR Atmospheres

View full text Add to dashboard Cite

show abstract

“…With the rapid development of our energy-driven society, the harm caused to human health by solid particulate matter (PM) pollution has garnered widespread concern. 1−3 This is attributed to increased pollutant emissions from human activities such as transportation, 4,5 heating, 6 power plants, and industrial processes. Among PM pollutants, fine particles (PM2.5, solid particles with a diameter of 2.5 μm or less) are primarily responsible for PM-related allergies and the spread of respiratory diseases.…”

Section: ■ Introductionmentioning

confidence: 99%

“…With the rapid development of our energy-driven society, the harm caused to human health by solid particulate matter (PM) pollution has garnered widespread concern. − This is attributed to increased pollutant emissions from human activities such as transportation, , heating, power plants, and industrial processes. Among PM pollutants, fine particles (PM2.5, solid particles with a diameter of 2.5 μm or less) are primarily responsible for PM-related allergies and the spread of respiratory diseases. − Filtering micron and submicron PM is time-consuming, and designing filters with ideal porous nanostructures is complex. , Masks, serving as close-fitting respiratory filtering medical protection equipment, isolate dust, waste gas, pathogenic microorganisms, and viruses.…”

Section: Introductionmentioning

confidence: 99%

Wood Fiber-Based Triboelectric Material with High Filtration Efficiency and Antibacterial Properties and Its Respiratory Monitoring in Mask

Sun,

Yuan,

Zhu

et al. 2024

ACS Omega

View full text Add to dashboard Cite

Self-powered wearable electronic products have rapidly advanced in the fields of sensing and health monitoring, presenting greater challenges for triboelectric materials. The limited surface polarity and structural defects in wood fibers restrict their potential as substitutes for petroleum-based materials. This study used bagasse fiber as the raw material and explored various methods, including functionalizing cellulose nanofibrils (CNFs) with polydopamine (PDA), in situ embedding of silver particles, filtration, and freezedrying. These methods aimed to enhance the triboelectric output, antibacterial properties, and filtration properties of lignocellulosic materials. The Ag/PDA/CNF-based triboelectric nanogenerator (TENG) demonstrated an open-circuit voltage of 211 V and a short-circuit current of 18.1 μA. An aerogel prepared by freeze-drying the Ag/PDA/CNF material, combined with a polyvinylidene fluoride nanofiber structure fabricated by electrospinning, constitutes the TENG unit. A self-powered respiratory detection mask was created using this combination, achieving a filtration efficiency of 94.23% for 0.3 μm particles and an antibacterial rate exceeding 99%. In addition, it effectively responded to respiratory frequency signals of slow breathing, normal breathing, and shortness of breath, with the output electrical signal correlating with the respiratory frequency. This study considerably contributes to advancing wood fiber-based triboelectric materials as alternatives to petroleumderived materials in self-powered wearable electronic products for medical applications.

show abstract

Short-Term Health Effects of Air Pollution

Izah,

Ogwu,

Etim

et al. 2024

The Handbook of Environmental Chemistry

View full text Add to dashboard Cite

Air quality and health co-benefits of vehicle electrification and emission controls in the most populated United States urban hubs: Insights from New York, Los Angeles, Chicago, and Houston

Cited by 5 publications

References 51 publications

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM_2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM_2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement

Wood Fiber-Based Triboelectric Material with High Filtration Efficiency and Antibacterial Properties and Its Respiratory Monitoring in Mask

Short-Term Health Effects of Air Pollution

Contact Info

Product

Resources

About

Air quality and health co-benefits of vehicle electrification and emission controls in the most populated United States urban hubs: Insights from New York, Los Angeles, Chicago, and Houston

Cited by 5 publications

References 51 publications

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement

Wood Fiber-Based Triboelectric Material with High Filtration Efficiency and Antibacterial Properties and Its Respiratory Monitoring in Mask

Short-Term Health Effects of Air Pollution

Contact Info

Product

Resources

About

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM_2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement

Real‐World Vehicular Source Indicators for Exhaust and Non‐Exhaust Contribution to PM_2.5 During Peak and Off‐Peak Hours Using Tunnel Measurement