Traffic related PM2.5 air quality: Policy options for developing Pacific Island countries

Mani, S.A.; Mani, Francis S.; Kumar, Ajal; Shah, Sofia; Peltier, Richard E.

doi:10.1016/j.trd.2020.102519

Cited by 13 publications

(8 citation statements)

References 64 publications

(63 reference statements)

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“…De ello se conoce que los carros desprenden partículas finas (PM2.5) (Jeong et al, 2019) que también se pueden correlacionar como PM10 (Ntziachristos y Samaras, 2020; Mani et al, 2020). Los resultados de esta investigación muestran que el 19% de los datos estuvieron por encima de la norma colombiana (37 µg/m 3 a 24 horas de exposición) (Figura 3A); sin embargo, el 80% fueron superiores a lo que recomienda la OMS (15µg/m 3 ).…”

Section: Resultados Y Discusiónunclassified

Relación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocaña

Armesto Arenas,

Cañon Barriga

2023

rev.investig.agrar.ambient.

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Contextualización: esta investigación se enfoca en la salud pública y la calidad del aire de la zona norte residencial de la ciudad de Ocaña, impactada por una vía nacional con tráfico lento que provoca altas emisiones de material particulado (PM10). Vacío de conocimiento: la investigación responde a las siguientes inquietudes: ¿cómo se relacionan las concentraciones de PM10 y PM2.5 en la zona?; ¿hacia dónde se dispersa el PM10 emitido por las fuentes móviles?; ¿cuáles son las repercusiones de la dispersión en los barrios de la zona norte?; ¿cuáles han sido los grupos etarios significativamente afectados por infecciones respiratorias agudas (IRA) debidas a las condiciones climáticas y el material particulado? Propósito: analizar la correlación del material particulado (PM10 y PM2.5) con las condiciones meteorológicas y con el grado de correspondencia con las infecciones respiratorias agudas (IRA) de la zona norte de Ocaña, Colombia. Metodología: se utilizó información oficial de los años 2018, 2019 y 2021, incluyendo mediciones propias de PM2.5 mediante un equipo automatizado. Las variables relacionadas con las IRA se agruparon por sexo, edad, barrio; y se relacionaron con el material particulado y condiciones meteorológicas, mediante análisis factorial múltiple (AFM) y modelos de regresión lineal. Resultados y conclusiones: Resultados: la relación PM2.5/PM10 es significativa (Pearson r =0.812), y sus concentraciones son superiores a las permitidas. El PM10 tuvo correlación significativa con el viento, la precipitación y la humedad (-0.51, -0.53 y -0.56). Las mujeres presentaron más casos registrados de IRA que los hombres, con una mayor correlación significativa (p<0.05) con el PM10 y la humedad relativa, especialmente para edades entre uno a cuatro años, y mayores de 70 años. Asimismo, los barrios cercanos a la vía nacional, orientados en la dirección del viento, mostraron mayores casos de IRA, además de mayor correlación significativa con el PM10. En conclusión, las concentraciones de PM10 y PM2.5 están significativamente correlacionadas entre sí, e influenciadas por las condiciones climáticas, del mismo modo, sus impactos en la salud respiratoria son significativos en niños menores de cinco años, especialmente los que residen en la dirección de dispersión del PM10.

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Section: Resultados Y Discusiónunclassified

Relación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocaña

Armesto Arenas,

Cañon Barriga

2023

rev.investig.agrar.ambient.

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“…The daily mean PM 2.5 concentration for the roadside site in the middle of key road networks in Suva city of Fiji was 21.6 ± 13.3 μg/m 3 . A nearby traffic sensor indicated vehicle counts of around 27,000 vehicles per day, approximately 10% of which were large vehicles (Mani et al., 2020). In Teda Street, the average daily traffic volume was 26,836 veh/d, ranging from 184 to 3,074 veh/h, which was much lower compared to the arterial streets of Beijing, while comparable to Seoul and Suva.…”

Section: Resultsmentioning

confidence: 99%

PM_2.5‐Bound Polycyclic Aromatic Hydrocarbons (PAHs), Nitrated PAHs (NPAHs) and Oxygenated PAHs (OPAHs) in Typical Traffic‐Related Receptor Environments

et al. 2022

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Fine particulate matter (PM 2.5 , aerodynamic diameter of ≤2.5 μm) has attracted worldwide attention in recent years due to its adverse effect on ambient air quality and public health (Chen et al., 2019;Cohen et al., 2017;van Donkelaar et al., 2015). Owning to their small particle size and large surface area, PM 2.5 can act as carriers for many chemical substances and reach bronchus, alveolar spaces, and even blood, which can seriously harm human health (Kroll et al., 2013;Poschl, 2005;Shou et al., 2019). A multitude of epidemiologic studies has suggested a prominent role of organic components in PM 2.5 -related toxicity (Kioumourtzoglou et al., 2013;Peng et al., 2009). Amongst polycyclic aromatic hydrocarbons (PAHs) are ubiquitous, which cause considerable concerns due to Abstract PM 2.5 -bound polycyclic aromatic hydrocarbons (PAHs), nitrated PAHs (NPAHs) and oxygenated PAHs (OPAHs) around roadside, port and airport areas were investigated to evaluate the impacts of vehicle, ship and aviation emissions on PAHs and their derivatives in relevant receptor environments. The PAHs concentrations in fuels increased in the following order: jet fuel < heavy fuel oil for vessel < automobile diesel fuel. However, the average mass ratio concentrations of PM 2.5 -bound PAHs in roadside, port and airport areas were 42.9, 158.7 and 260.4 μg/g, respectively. The low PAHs concentrations in fuel were relevant to the high PAHs emissions. The composition of the molecular species showed that 5-and 6-rings PAHs were dominated in roadside area, while 3-and 4-rings PAHs were major proportions in port and airport areas. The average mass ratio concentrations of PM 2.5 -bound NPAHs and OPAHs concentrations in roadside, port and airport areas were 23.5 and 115.2, 4.8 and 39.9, and 26.4 and 284.2 μg/g, respectively. The different variation tendencies between PAHs and their derivates, dominant individual NPAHs, diagnostic ratios of NPAH isomers and principal component analysis revealed that primary emission was the major contributor to NPAHs and OPAHs in three receptor environments, and secondary formation played non-negligible roles in NPAHs formation in roadside and airport areas. In addition, 9-nitroanthracene (9-NAnt) and anthraquinone (ATQ) were found to be the indicatory compounds for traffic emission. Taken together, these results may provide a basic information for assessing the impact of traffic emission sources on PAC emissions to the related receptor environment.

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“…In larger Pacific Basin countries, with the capabilities to measure air quality on a large scale, epidemiological assessment using big data sets have provided evidence that respiratory tract infections are linked to exposure to poor-quality air. For the Pacific Island Countries and Territories, large scale measurement of air quality is not yet an established environmental public health practice [ 9 10 ].…”

Section: Assessment Of Health Risk Posed By Airborne Ultrafine Partic...mentioning

confidence: 99%

Assessment of Environmental Impacts on Health: Examples from the Pacific Basin

Jagals

Kim

Brereton

et al. 2022

Annals of Global Health

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Assessing environmental impacts on health in the Pacific Basin is challenged by significantly varying data types -quantities, qualities, and paucities -because of varying geographic sizes, environments, biodiversity, ecological assets, and human population densities, with highly varied and unequal socio-economic development and capacity to respond to environmental and health challenges. We discuss three case-based methodological examples from Pacific Basin environmental health impact assessments. These methods could be used to improve environmental health evidence at all country and regional levels across a spectrum of big data availability to no data. These methods are, 1) a risk assessment of airborne particulate matter in Korea based on the chemical composition of these particulates; 2) the use of system dynamics to appraise the influences of a range of environmental health determinants on child health outcomes in remote Solomon Islands; and 3) precision environmental public health methodologies based on comprehensive data collection, analyses, and modelling (including Bayesian belief networks and spatial epidemiology) increasing precision for good environmental health decision making to prevent and control a zoonotic disease in Fiji Islands. We show that while a common theme across the three examples is the value of high quality and quantity data to support stronger policy decisions and appropriate prioritizing of investment, it is also clear that for many countries in the Pacific Basin, sufficient data will remain a challenge to inform decision makers about environmental impact on health.

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Traffic related PM2.5 air quality: Policy options for developing Pacific Island countries

Cited by 13 publications

References 64 publications

Relación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocaña

Relación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocaña

PM_2.5‐Bound Polycyclic Aromatic Hydrocarbons (PAHs), Nitrated PAHs (NPAHs) and Oxygenated PAHs (OPAHs) in Typical Traffic‐Related Receptor Environments

Assessment of Environmental Impacts on Health: Examples from the Pacific Basin

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Traffic related PM2.5 air quality: Policy options for developing Pacific Island countries

Cited by 13 publications

References 64 publications

Relación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocaña

Relación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocaña

PM2.5‐Bound Polycyclic Aromatic Hydrocarbons (PAHs), Nitrated PAHs (NPAHs) and Oxygenated PAHs (OPAHs) in Typical Traffic‐Related Receptor Environments

Assessment of Environmental Impacts on Health: Examples from the Pacific Basin

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Product

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PM_2.5‐Bound Polycyclic Aromatic Hydrocarbons (PAHs), Nitrated PAHs (NPAHs) and Oxygenated PAHs (OPAHs) in Typical Traffic‐Related Receptor Environments