Impact analysis of meteorological variables on PM2.5 pollution in the most polluted cities in China

Ju, Wang; Han, Jin Suk; Li, Tongnan; Wu, Tong; Fang, Chunsheng

doi:10.1016/j.heliyon.2023.e17609

Cited by 3 publications

(3 citation statements)

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“…Therefore, studies have been conducted in many different places and time spans to disclose the relationship. For the study of the impact of meteorological factors, Wang et al [12] investigated the impact of five meteorological variables on PM2.5 pollution during January 2017 in the 14 most polluted cities in China. The result shows that planetary boundary layer height, wind speed, and precipitation have highly linear trends with the PM2.5 concentration, while temperature and the water vapor mixing ratio have positive impacts on pollution but only under certain conditions.…”

Section: Natural and Anthropogenic Factors Affecting Air Qualitymentioning

confidence: 99%

“…As shown in Figure 6, we categorize the PM2.5 concentration values with four labels based on the 10 air-quality alert levels announced by the air-quality government agency supervising Puli township, namely, the Nantou County Environmental Protection Bureau of Taiwan (NCEPB) [42]. Our labels, PM2.5_1, PM2.5_2, PM2.5_3, and PM2.5_H, indicate the PM2.5 concentration (µg/m 3 ) falling in the ranges of (0, 11), (12,23), (24,35), and (greater than 35), respectively. Although the data ratios in the four ranges to the overall data volume are not equal, the used ranges retain the correspondence to the referred 10 air-quality alert levels and our analysis results can be easily perceived by the public.…”

Section: Data Processingmentioning

confidence: 99%

“…A substantial number of studies [8,[11][12][13][14][15][16][17] have evidenced the close relationships between air quality and meteorological indicators. In light of this, we conduct the association rule mining between the macro-level PM2.5 supersite dataset and our weather dataset.…”

Section: Associations Between Air Quality and Meteorological Indicatorsmentioning

confidence: 99%

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Mining Associations between Air Quality and Natural and Anthropogenic Factors

Yin

2024

Sustainability

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The urbanization and industrialization of human society boost the socioeconomic growth but yet inevitably result in unprecedented damages to environment and organisms. One of the threats is the air pollution produced from anthropogenic activities. Moreover, the pollution concentrates longer in certain meteorological phenomena and exacerbates the impact on nature species and human health. This paper presents an association mining approach to identify the influential factors which result in a high volume of air pollution concentration, in particular, the particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5). Since the literature showed that the identified factors are location and spatial-scale dependent, we chose a basin geography, Puli township, Taiwan, and inferred the association relationships with two different-scaled monitoring stations. The government-built supersite at Puli estimates the PM2.5 concentration for the entire township of the area around 150 km2, while the participatory microsites monitor air quality in a smaller region of a hundred thousand square meters. Our research was conducted with relevant data during 2017–2019. The mining result has unique findings as compared to the literature. The relative humidity, precipitation, wind speed and direction, which were identified as major factors in many previous studies, have less impact on air quality of our studied field than temperature and atmospheric pressure. The remarkable distinction is mainly attributed to the special weather patterns of basin geography. We investigated the impact of all national festivals and identified the most significant ones. The probability of observing PM2.5 concentrations greater than 35 μg/m3 in the activity hours of New Year’s Eve is 50% which is significantly greater than 11.74%, the probability of observing the same concentration range over all days in the investigated years, while the Tomb Sweeping Day (TSD) has a varying impact on air quality depending on the order of the TSD date within the long holiday. The increase of PM2.5 concentration is remarkably more significant if the TSD is the last day in the long holiday than if it is the middle day. This finding can be taken into consideration when the government agent makes schedules for national festivals. Finally, it was learned in our study that different landmarks and land uses have various significant impacts on micro-scale air quality. The microsites monitor high PM2.5 concentrations at particular landmarks with a greater confidence than the mean confidence over all microsites. These pollution-associated landmarks with the confidence ranked from highest to lowest are night markets, crossroads, paper mills, temples, and highway exits. It is worth noting that the PM2.5 increase contributed by temples is negligible, which may be attributed to the citizen action for promoting reduction in joss paper and incense stick burning. The land uses have diverse impacts on air quality. Anthropogenic activities contribute higher PM2.5 concentrations in business districts and residential areas. The PM2.5 concentration monitored at high lands and agricultural lands is lower than the overall background due to fewer mass gathering and combustion activities in these land uses.

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Section: Natural and Anthropogenic Factors Affecting Air Qualitymentioning

confidence: 99%