Long-range transport of aerosols and their impact on the air quality of Taiwan

Lin, Chuan-Yao; Liu, Shaw C.; Chou, Charles C.‐K.; Huang, S.-H.; Liu, Chung-Ming; Kuo, Ching-Huei; Young, Chea-Yuan

doi:10.1016/j.atmosenv.2005.06.046

Cited by 114 publications

(67 citation statements)

References 33 publications

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“…For details on the variation of PM 2.5 compositions, refer to Chuang et al (2008a, b). For a discussion of their dynamics, refer to Lin et al (2004Lin et al ( , 2005Lin et al ( , 2007Lin et al ( , 2012a.…”

Section: Lrt Type: Description Of Nov 2 Episodementioning

confidence: 99%

“…These studies included research on outflows of China's dust transport to Northeast Asia (Nishikawa et al, 2000;Kim and Park, 2001;Han et al, 2004; and even North America (McKendry et al, 2001) or to southern areas, such as Taiwan Liu et al, 2006;Lee et al, 2006;Chuang et al, 2008b;Hsu et al, 2010). Lin et al (2004Lin et al ( , 2005Lin et al ( , 2007 claimed that China's dust transport is usually abundant in cold fronts and reaches Taiwan. Lee et al (2006) observed that in the transportation of dust plumes, PM 2.5 concentrations, similar to coase mode particulates, were elevated.…”

Section: Introductionmentioning

confidence: 99%

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A Simulation Study on PM2.5 Sources and Meteorological Characteristics at the Northern Tip of Taiwan in the Early Stage of the Asian Haze Period

Chuang

Chou

Lin

et al. 2017

Aerosol Air Qual. Res.

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The present study utilizes air quality modeling to probe the sources and characteristics of PM 2.5 (particles less than 2.5 micrometers in aerodynamic diameter) at the northern tip of Taiwan (CAFE station) in the early stage of the Asian haze period. Since CAFE is the first place that is influenced by the Asian haze coming from the north, this study focused on the wind field, PM 2.5 concentration, and PM 2.5 composition at CAFE. During the research period (Oct. 16, 2015, to Nov. 15, 2015, four PM 2.5 episodes occurred at CAFE. This study classified these four episodes into three types, according to their PM 2.5 sources: the long-range transport (LRT) type, the local pollution (LP) type, and the LRT/LP mix type. For the LRT type, Asian outflows prevailed in a north to northeast wind at the north of Taiwan. The proportion of NO 3 -in the PM 2.5 resolvable compositions was very small at CAFE due to evaporation during transport, whereas the relative proportion of sea salt increased due to strong winds. For the LP type, an east wind prevailed and formed a cyclone/lee vortex in northwest Taiwan. Although the background PM 2.5 concentrations were low (4-20 µg m -3 ), the cyclone transported local anthropogenic emissions northward and elevated the PM 2.5 levels at CAFE. For the LRT/LP mix type, an east wind also prevailed, but the background PM 2.5 concentrations were at an intermediate level (20-30 µg m -3 ) because the Asian outflows had already transported haze to the West Pacific. The combined LRT and LP increased PM 2.5 at CAFE. In addition, the proportions of NO 3 -(nitrate) for the LP and LRT/LP episodes were obviously higher than those on the days before and after. This suggests a considerable contribution on PM 2.5 from LP.

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Section: Lrt Type: Description Of Nov 2 Episodementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Simulation Study on PM2.5 Sources and Meteorological Characteristics at the Northern Tip of Taiwan in the Early Stage of the Asian Haze Period

Chuang

Chou

Lin

et al. 2017

Aerosol Air Qual. Res.

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“…For RT, PM 10 concentrations increase gradually by the medium-range transport mostly from neighboring provinces including Jiangsu, Zhejiang and Anhui under suitable inland winds. CO can be used as a good tracer to pursue the impact of transport due to its long lifetime (Lin et al 2005). Therefore, RT can be distinguished from LP by higher CO concentrations.…”

Section: B Case Study 2: Dust Stormmentioning

confidence: 99%

“…The anomaly (C bg − C bg,a ) was used to represent transport amounts Lin et al 2005), where C bg refers to the background concentration represented by the average concentration at four selected remote sites and C bg,a refers to the annual mean of C bg . The urban concentration C u was represented by the concentration at Jingan.…”

Section: B Case Study 2: Dust Stormmentioning

confidence: 99%

Impact of Pollutant Transport on the Air Quality of Shanghai in 2007

Yan

Wang

et al. 2011

SOLA

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Pollutant transport has a significant impact on the air quality of Shanghai. To quantify this impact, we comprehensively analyze the characteristics and formation mechanisms of air pollution in Shanghai, using a data set covering five selected air quality monitoring sites and a meteorological site. We find air pollution events occur ~10% of the year. These events are classified into three typical categories, namely the local pollution case (LP), the dust storm case (DS) and the regional transport case (RT), based on temporal variations and spatial distributions of PM 10 and gaseous pollutants as well as meteorological factors and backward trajectories. The ratios of SO 2 /PM 10 , NO 2 /PM 10 and PM 2.5 /PM 10 are used as indicators of long-range transport of mineral dust, while CO proves to be a good tracer of regional transport of anthropogenic pollutants. In 2007, 64% of all pollution events were RT and the mean PM 10 concentration reached 220 μg m . We estimate that transport contribution to PM 10 abundance was within the range of 34% to 64% by comparing the anomaly of the background concentration with the urban concentration.

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“…The characteristics and concentrations of air pollutants are not only derived from pollution sources but also affected by terrain and meteorological factors (Lin et al, 2005;Chen et al, 2007;Chou et al, 2008;Kuo et al, 2008;Zhou et al, 2012). Therefore, the spatial representativeness of the hourly concentration of air pollutants collected by monitoring stations has been questioned.…”

Section: Introductionmentioning

confidence: 99%

Using Atmospheric Visibility to Assess the Effects of Air Pollution on Hospital Admissions for Respiratory Diseases

Lung

Chen

Yang

et al. 2016

Aerosol Air Qual. Res.

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Air pollution is a significant hazard to human health. Atmospheric visibility is an aggregative indicator of air pollution and meteorological conditions. Yet, only a few studies have reported the relationship between atmospheric visibility and health risks. This study attempted to utilize atmospheric visibility to assess the effects of air pollution on hospital admissions for respiratory diseases (ICD-9: 460-519). Daily measurements of air pollutants, atmospheric visibility, and Taiwan's National Health Insurance Research Database were obtained for the year 2010 in Taichung. We compared the differences in different locations (coastal and urban areas). A Poisson regression analysis was used to evaluate the relationship between the atmospheric visibility and the respiratory consultation rate, with adjustment for potential confounding factors, including meteorological factors, spatial variances, and types of air pollution. The primary results indicated that air pollution and atmospheric visibility degradation were both more serious in the urban area than in the coastal area. The atmospheric visibilities were divided into Q 1 (25 th percentile), Q 2 (50 th percentile), and Q 3 (75 th percentile); these divisions show the inversely proportional trend between atmospheric visibility range and health risks. It was also observed the similar inversely proportional trend between particulate matter and health risks. Under the hazard periods of atmospheric visibility ≤ 10 km, the relative significant health risks of 1.088 and 1.042 were observed in the coastal area and urban area, respectively. The relative health risks of particulate matters were 1.053 in the coastal area and 1.101 in the urban area during the periods of PM 2.5 ≥ 35 µg m -3 . This study establishes a new perspective from which to assess the effects of air pollution on hospital admissions for respiratory diseases by utilizing atmospheric visibility. Additionally, it provides a convenient way for the public to understand the relationship between air pollution and its effects on human health.

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Long-range transport of aerosols and their impact on the air quality of Taiwan

Cited by 114 publications

References 33 publications

A Simulation Study on PM2.5 Sources and Meteorological Characteristics at the Northern Tip of Taiwan in the Early Stage of the Asian Haze Period

A Simulation Study on PM2.5 Sources and Meteorological Characteristics at the Northern Tip of Taiwan in the Early Stage of the Asian Haze Period

Impact of Pollutant Transport on the Air Quality of Shanghai in 2007

Using Atmospheric Visibility to Assess the Effects of Air Pollution on Hospital Admissions for Respiratory Diseases

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