Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China

Zhou, Haitao; Yu, Yueming; Gu, Xuan; Wu, Yun; Wang, Mei; Yue, Hao; Gao, Jiale; Lei, Ruoyuan; Ge, Xinlei

doi:10.3390/atmos11030253

Cited by 24 publications

(12 citation statements)

References 50 publications

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“…Meteorological parameters play a significant role in determining air pollutants concentrations [ 4 ]. Decreases in PM concentrations were observed with increases in precipitation rate, wind speed, and temperature [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Relations between Air Quality and Covid-19 Lockdown Measures in Valencia, Spain

Donzelli

Cioni

Cancellieri³

et al. 2021

IJERPH

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The set of measures to contain the diffusion of COVID-19 instituted by the European governments gave an unparalleled opportunity to improve our understanding of the transport and industrial sectors’ contribution to urban air pollution. The purpose of this study was to assess the impacts of the lockdown measures on air quality and pollutant emissions in Valencia, Spain. For this reason, we determined if there was a significant difference in the concentration levels of different particulate matter (PM) sizes, PM10, PM2.5, and NOx, NO2, NO, and O3, between the period of restrictions in 2020 and the same period in 2019. Our findings indicated that PM pollutant levels during the lockdown period were significantly different from the same period of the previous year, even if there is variability in the different local areas. The highest variations reduction in the PM10 and PM2.5 levels were observed for the València Centre, València Avd Francia, and València Pista de Silla (all of the urban traffic type) in which there was a reduction of 58%–42%, 56%–53%, and 60%–41% respectively. Moreover, consistent with recent studies, we observed a significant reduction in nitric oxide levels in all the air monitoring stations. In all seven monitoring stations, it was observed, in 2020, NOx, NO2, and NO concentrations decreased by 48.5%–49.8%–46.2%, 62.1%–67.4%–45.7%, 37.4%–35.7%–35.3%, 60.7%–67.7%–47.1%, 65.5%–65.8%–63.5%, 60.0%–64.5%–41.3%, and 60.4%–61.6%–52.5%, respectively. Lastly, overall O3 levels decreased during the lockdown period, although this phenomenon was more closely related to weather conditions. Overall, no significant differences were observed between the meteorological conditions in 2019 and 2020. Our findings suggest that further studies on the effect of human activities on air quality are needed and encourage the adoption of a holistic approach to improve urban air quality.

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Section: Introductionmentioning

confidence: 99%

Relations between Air Quality and Covid-19 Lockdown Measures in Valencia, Spain

Donzelli

Cioni

Cancellieri³

et al. 2021

IJERPH

View full text Add to dashboard Cite

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“…Air pollutant concentrations rely on direct emissions and the quantity of gaseous precursors, which are NO 2 , SO 2 , CO 2 , and PM 2.5 , as well as meteorological variables [17]. Meteorological conditions affect the dispersion of air pollutants [18], and also control atmospheric pollution on a moderately abrupt continuance scale [17]. Multiple factors, such as pollutant transportation and transformation, pollutant emissions, and meteorological conditions, affect air pollution [19,20].…”

Section: Introductionmentioning

confidence: 99%

Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria

et al. 2021

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This study assessed the spatial disposition of air pollutants and their relationship with meteorological parameters in urban slum settlements of Lagos city. The gaseous pollutants were quantified using a gas analyzer, and the PM2.5 concentration and meteorological parameters were determined using an Air Metric Sampler and Wind Mate, respectively. SPSS for Windows and ArcGIS were used for data analysis. The results revealed that the seasonal variations in SO2, NO2, CO2, and PM2.5 showed a higher level of air pollutant concentration during the dry season than during the wet season. During the wet season, a significant correlation was observed between PM2.5 and temperature at the 1% level (0.957 **), and VOC and SO2 (0.907 *) at the 5% level; during the dry season, significant correlations were observed between NO2 and SO2 at the 1% level (0.9477 **), and PM2.5 and relative humidity (0.832 *) at the 5% level. Atmospheric pressure (72%), temperature (60%), and relative humidity (98.4) were the primary meteorological factors affecting air pollutants such as VOC, CO2, and SO2. The spatial dispersal of air pollutants revealed a high Z score and a moderate p-value, indicating hot spot locations throughout the five selected slum settlements. It is recommended that regular monitoring based on quantifiable economic costs that are beneficial to the well-being of the populace be investigated, and policy-based initiatives for air pollution control based on scientific evidence be advocated for.

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“…Significant variations in pollutants across the seasons may have resulted from seasonal changes in meteorological conditions or variations in other anthropogenic sources related to high population density and heavy traffic in roads close to the source of pollution [12,13]. Changes in the emission policy also play a major role in the temporal distribution of pollutants in the atmosphere; for instance, this could be observed after reducing crude oil supply, replacing coal with gas, or industrial upgrading of structure, occurring at a particular time [14,15]. Our results accord with other findings [12,16] that indicated seasonal dependence.…”

Section: Discussionmentioning

confidence: 99%

“…The presence of CO is reportedly caused in part by an increased level of road traffic and other industrial activities, such as fuel combustion [3]. The increase in concentration during the summer may be caused by the reason above [15].…”

Section: Discussionmentioning

confidence: 99%

Ambient Air Quality, Pollutant Behavior, and Distribution Pattern in Rabigh City Using an Air Dispersion Model

Othman

2021

Pak J Anal Environ Chem

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The rise in industrial development and modern technology is one of the major causes of atmospheric pollution, which negatively affects human health. In this study, meteorological conditions and atmospheric pollution dispersion in Rabigh city and its catchments were analyzed using measured data and an air quality dispersion model. The Hybrid Single-Particle Lagrangian Integrated Trajectory model was used to simulate the dispersion of atmospheric pollutants. A dataset from 2018 was analyzed to clarify the seasonal distributions of atmospheric pollutant concentrations in Rabigh and other areas (Thuwal and Khulais). A significant variation in atmospheric pollutants was recorded across the seasons, which may be caused by changes in meteorological conditions. Variations in other anthropogenic sources related to high population density or heavy traffic in the nearby road may also be involved in these fluctuations. Predictions indicated that pollutants would impact the Thuwal area (>50 μg m−3) and Khulais (>35 μg m−3) during the winter season and affect Thuwal (>20 μg m−3) and Rabigh (>20 μg m−3) during the fall season. The concentrations of pollutants were mostly negatively correlated with wind speed, except for carbon monoxide. We established variations in the seasonal concentration of pollutants and the effect of meteorological conditions on atmospheric pollutants for the year 2018 in the study area. Policymakers and stakeholders must provide solutions to mitigate the environmental effect of atmospheric pollution in Rabigh city, Thuwal, and Khulais for the health of inhabitants.

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Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China

Cited by 24 publications

References 50 publications

Relations between Air Quality and Covid-19 Lockdown Measures in Valencia, Spain

Relations between Air Quality and Covid-19 Lockdown Measures in Valencia, Spain

Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria

Ambient Air Quality, Pollutant Behavior, and Distribution Pattern in Rabigh City Using an Air Dispersion Model

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