Infiltration of outdoor PM2.5 and influencing factors

Zahed, Fatemeh; Pardakhti, Alireza; Motlagh, Majid Shafiepour; Kari, Behrouz Mohammad; Tavakoli, Azadeh

doi:10.1007/s11869-022-01246-4

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…Liu et al [9] found that long-term exposure to PM 2.5 leads to an increased incidence of asthma in adults. In addition, Zahed et al [10], through real-time monitoring of old houses in Tehran, confirmed that the conditions of building windows and building leakage cause outdoor pollutants to worsen indoor air quality. Chen et al [11] illustrated that indoor PM 2.5 emissions from outdoor sources caused 63.1% of all such deaths after multiple-path particle simulation.…”

Section: Introductionmentioning

confidence: 94%

Spatiotemporal Distribution Characteristics and Multi-Factor Analysis of Near-Surface PM2.5 Concentration in Local-Scale Urban Areas

Liu,

He,

Zhu

et al. 2023

Atmosphere

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Near-surface PM2.5 concentrations have been greatly exacerbated by urban land expansion and dense urban traffic. This study aims to clarify the effects of multiple factors on near-surface PM2.5 concentrations from three perspectives of background climatic variables, urban morphology variables, and traffic-related emission intensity. First, two case areas covering multiple local blocks were selected to conduct mobile measurements under different climatic conditions. The observed meteorological parameters and PM2.5 concentration were obtained through GIS-based imaging. These interpolation results of air temperature and relative humidity reveal highly spatiotemporal diversity, which is greatly influenced by artificial heat emissions and spatial morphology characteristics in local areas. The PM2.5 concentration on measurement days also varies considerably from the lowest value of 44~56 μg/m3 in October to about 500 μg/m3 in December in Harbin winter and ranges between about 5 μg/m3 and 50 μg/m3 in Guangzhou summer. The correlation analysis reveals that both the climatic conditions and urban morphology characteristics are significantly correlated with local PM2.5 concentration. Especially for Guangzhou summer, the PM2.5 concentration was positively correlated with the street traffic emission source intensity with correlation coefficient reaching about 0.79. Multivariate nonlinear formulas were applied to fit the association between these factors and PM2.5 concentration with higher determined coefficients. And optimization strategies are thus suggested to improve the urban air quality in local-scale areas. This attribution analysis contributes to environmentally friendly urban construction.

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Section: Introductionmentioning

confidence: 94%

Spatiotemporal Distribution Characteristics and Multi-Factor Analysis of Near-Surface PM2.5 Concentration in Local-Scale Urban Areas

Liu,

He,

Zhu

et al. 2023

Atmosphere

View full text Add to dashboard Cite

show abstract

“…The Air Pollution Emergency Committee advises people to stay home in such a situation. On the other hand, more than 60% of the buildings in Tehran are more than 15 years old, and due to non-compliance with the national energy code and airtightness requirements, the occupants are more susceptible to being exposed to higher levels of PM2.5 [ 25 ]. Therefore, in the present work, PM2.5 is adopted as a pollutant of the outside origin in the absence of internal sources.…”

Section: Introductionmentioning

confidence: 99%