Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes

Hsien, Kai; Li, Yi Na; Hung, Ngo Tuan

doi:10.4209/aaqr.2017.03.0095

Cited by 14 publications

(7 citation statements)

References 54 publications

(80 reference statements)

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“…The PM 2.5 concentrations measured from LRT event (Site A), local urban traffic emission (Site B), and night market (Site C) were found to be 39.0 µg/m 3 , 42.9 µg/m 3 , and 28.3 µg/m 3 , respectively (Table S3). The PM 2.5 concentrations found in this study (28.3-42.9 µg/m 3 ) was lower than that found in central Taiwan (33.2-76.4 µg/m 3 ) [27] but higher than a two-year observation of PM 2.5 concentration at urban area of Taipei (20.5-21.4 µg/m 3 ) [20]. We observed highest PM 2.5 concentrations at traffic area (42.9 µg/m 3 ) which was located in the center of Taipei city.…”

Section: Pm 25 Concentrations and Characteristics Measured At Differcontrasting

confidence: 86%

“…The PCDD/F concentration during LRT event in this study was found to be much lower than our previous measurement at the same area. PCDD/F concentrations in 2014 and 2015 during LRT event at Fugui Cape station were found to be 16.4-28.9 fg I-TEQ/m 3 [20].…”

Section: Pm 25 Concentrations and Characteristics Measured At Differmentioning

confidence: 92%

“…Fugui Cape is a land cape located in the North peak of Taiwan. Because of its special location, Fugui Cape is the first place of Taiwan exposed to long-range transport pollutant when winter monsoon brings pollutants from the northern area to Taiwan [20]. The samples at this area were collected during the day when significant monsoon activity was recorded.…”

Section: Sampling Location and Sampling Methodsmentioning

confidence: 99%

“…The concentration of PM 2.5 in Taiwan highly varied based on location. A measurement in the north of Taiwan found mean PM 2.5 concentrations of 17.7 ± 13 µg/m 3 [20], whereas those concentrations were found to be 29.3-102.2 µg/m 3 in central Taiwan [21] and 43.2 ± 20 µg/m 3 in southern Taiwan [22]. The atmospheric PM 2.5 of Taiwan was significantly influenced by three main sources including long-range transport, traffic, and industrial activities.…”

Section: Introductionmentioning

confidence: 99%

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Cytotoxicity Assessment of PM2.5 Collected from Specific Anthropogenic Activities in Taiwan

Ngo¹,

Tsai²,

Ueng

et al. 2019

IJERPH

Self Cite

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Fine particulate matter (PM 2.5 ) from different sources with different components have different health impact. In this research in Taiwan, composition and cytotoxicity of PM 2.5 from long-range transport event (LRT), traffic activity, and outdoor cooking at night market were studied. The PM 2.5 mass concentrations were 39.0 µg/m 3 during LRT, 42.9 µg/m 3 at traffic area, and 28.3 µg/m 3 at the night market. Traffic area had highest concentrations of PCDD/Fs (46.9 fg I-TEQ/m 3 ) when highest PAH concentrations of 3.57 BaPeq-ng/m 3 were found at night market area. One quarter of PM 2.5 mass at LRT and night market was constituted by water-soluble ion (26.02-28.93%). Road dust (represented by high concentration of Al and Ca) was the main contributor for metal element at traffic station whereas presence of natural salt (Na and Cl elements) was a marker of LRT and cooking activities. Cell viability reduced 9% after exposure to organic extracts of 0.316 µg of PM 2.5 from LRT and night market samples. 150% elevation of ROS production was observed after exposure with organic compound of night market samples at the dose equivalent to 10.0 µg PM 2.5 . Organic extracts from night market induced positive genotoxicity in umu test (at a dose of 20.0 µg PM 2.5 ).

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Section: Pm 25 Concentrations and Characteristics Measured At Differcontrasting

confidence: 86%

Section: Pm 25 Concentrations and Characteristics Measured At Differmentioning

confidence: 92%

Section: Sampling Location and Sampling Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cytotoxicity Assessment of PM2.5 Collected from Specific Anthropogenic Activities in Taiwan

Ngo¹,

Tsai²,

Ueng

et al. 2019

IJERPH

Self Cite

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“…Local emission sources of air pollutants in the TKMA include vehicular exhaust, industrial emissions, and various sources related to residential activities (e.g., cooking) Ho et al, 2018;Wu et al, 2017). In winter time, the long-distance transport of dust and polluted air masses under the northeast monsoon from the Asian continent results in a significant increase in concentrations of air pollutants (Chi et al, 2017;Chou et al, 2010).…”

Section: Study Areamentioning

confidence: 99%

Development and intercity transferability of land-use regression models for predicting ambient PM10, PM2.5, NO2 and O3 concentrations in northern Taiwan

Li¹,

Ho²,

Yim³

2020

Preprint

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Abstract. To provide long-term air pollutant exposure estimates for epidemiological studies, it is essential to test the feasibility of developing land-use regression (LUR) models using only routine air quality measurement data and to evaluate the transferability of LUR models between nearby cities. In this study, we develop and evaluate the intercity transferability of annual average LUR models for ambient respirable suspended particulates (PM10), fine suspended particulates (PM2.5), nitrogen dioxide (NO2), and ozone (O3) in the Taipei–Keelung metropolitan area of northern Taiwan in 2019. Ambient PM10, PM2.5, NO2, and O3 measurements at 30 fixed-site stations were used as the dependent variables, and a total of 156 potential predictor variables in six categories (i.e., population density, road network, land-use type, normalized difference vegetation index, meteorology, and elevation) were extracted using buffer spatial analysis. The LUR models were developed using the supervised forward linear regression approach. The LUR models for ambient PM10, PM2.5, NO2, and O3 achieved relatively high prediction performance, with R2 and leave-one-out cross-validation (LOOCV) R2 values of > 0.72 and > 0.53, respectively. The intercity transferability of LUR models varied among the air pollutants, with transfer-predictive R2 values of > 0.62 for NO2 and

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A comprehensive examination of temporal-seasonal variations of PM1.0 and PM2.5 in taiwan before and during the COVID-19 lockdown

Room,

Chiu,

Pan

et al. 2024

Environ Sci Pollut Res

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COVID-19 has been a significant global concern due to its contagious nature. In May 2021, Taiwan experienced a severe outbreak, leading the government to enforce strict Pandemic Alert Level 3 restrictions in order to curtail its spread. Although previous studies in Taiwan have examined the effects of these measures on air quality, further research is required to compare different time periods and assess the health implications of reducing particulate matter during the Level 3 lockdown. Herein, we analyzed the mass concentrations, chemical compositions, seasonal variations, sources, and potential health risks of PM1.0 and PM2.5 in Central Taiwan before and during the Level 3 lockdown. As a result, coal-fired boilers (47%) and traffic emissions (53%) were identified as the predominant sources of polycyclic aromatic hydrocarbons (PAHs) in PM1.0, while in PM2.5, the dominant sources of PAHs were coal-fired boilers (28%), traffic emissions (50%), and iron and steel sinter plants (22.1%). Before the pandemic, a greater value of 20.9 ± 6.92 μg/m3 was observed for PM2.5, which decreased to 15.3 ± 2.51 μg/m3 during the pandemic due to a reduction in industrial and anthropogenic emissions. Additionally, prior to the pandemic, PM1.0 had a contribution rate of 79% to PM2.5, which changed to 89% during the pandemic. Similarly, BaPeq values in PM2.5 exhibited a comparable trend, with PM1.0 contributing 86% and 65% respectively. In both periods, the OC/EC ratios for PM1.0 and PM2.5 were above 2, due to secondary organic compounds. The incremental lifetime cancer risk (ILCR) of PAHs in PM2.5 decreased by 4.03 × 10-5 during the pandemic, with PM1.0 contributing 73% due to reduced anthropogenic activities.

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Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes

Cited by 14 publications

References 54 publications

Cytotoxicity Assessment of PM2.5 Collected from Specific Anthropogenic Activities in Taiwan

Cytotoxicity Assessment of PM2.5 Collected from Specific Anthropogenic Activities in Taiwan

Development and intercity transferability of land-use regression models for predicting ambient PM<sub>10</sub>, PM<sub>2.5</sub>, NO<sub>2</sub> and O<sub>3</sub> concentrations in northern Taiwan

A comprehensive examination of temporal-seasonal variations of PM1.0 and PM2.5 in taiwan before and during the COVID-19 lockdown

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Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes

Cited by 14 publications

References 54 publications

Cytotoxicity Assessment of PM2.5 Collected from Specific Anthropogenic Activities in Taiwan

Cytotoxicity Assessment of PM2.5 Collected from Specific Anthropogenic Activities in Taiwan

Development and intercity transferability of land-use regression models for predicting ambient PM&lt;sub&gt;10&lt;/sub&gt;, PM&lt;sub&gt;2.5&lt;/sub&gt;, NO&lt;sub&gt;2&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt; concentrations in northern Taiwan

A comprehensive examination of temporal-seasonal variations of PM1.0 and PM2.5 in taiwan before and during the COVID-19 lockdown

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Product

Resources

About

Development and intercity transferability of land-use regression models for predicting ambient PM<sub>10</sub>, PM<sub>2.5</sub>, NO<sub>2</sub> and O<sub>3</sub> concentrations in northern Taiwan