Association of daily cause-specific mortality with ambient particle air pollution in Wuhan, China

Qian, Zhengmin; He, Qingqing; Lin, Hung Mo; Kong, Lingli; Liao, Duanping; Dan, J; Bentley, Christy; Wang, Beiwei

doi:10.1016/j.envres.2007.05.007

Cited by 105 publications

(72 citation statements)

References 28 publications

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“…Consequently, epidemiological studies have described the effects of mass-related aerosol properties on human health. Qian et al (2007a) found a consistent evidence of acute effects of PM 10 on cardiopulmonary mortality during a four-year study in Wuhan. Kan et al (2007) found that PM 2.5 was associated with death rates from all causes and from cardiorespiratory diseases but not PM 10−2.5 in Shanghai.…”

Section: B Wehner Et Al: Aerosol Pollution and Air Mass History In mentioning

confidence: 84%

Relationships between submicrometer particulate air pollution and air mass history in Beijing, China, 2004–2006

et al. 2008

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Abstract. The Chinese capital Beijing is one of the global megacities where the effects of rapid economic growth have led to complex air pollution problems that are not well understood. In this study, ambient particle number size distributions in Beijing between 2004 and 2006 are analysed as a function of regional meteorological transport. An essential result is that the particle size distribution in Beijing depends to large extent on the history of the synoptic scale air masses. A first approach based on manual back trajectory classification yielded differences in particulate matter mass concentration by a factor of two between four different air mass categories, including three main wind directions plus the case of stagnant air masses. A back trajectory cluster analysis refined these results, yielding a total of six trajectory clusters. Besides the large scale wind direction, the transportation speed of an air mass was found to play an essential role on the PM concentrations in Beijing. Slow-moving air masses were shown to be associated with an effective accumulation of surface-based anthropogenic emissions due to both, an increased residence time over densely populated land, and their higher degree of vertical stability. For the six back trajectory clusters, differences in PM 1 mass concentrations by a factor of 3.5, in the mean air mass speed by a factor of 6, and in atmospheric visibility by a factor of 4 were found. The main conclusion is that the air quality in Beijing is not only degraded by anthropogenic aerosol sources from within the megacity, but also by sources across the entire Northwest China plain depending on the meteorological situation.

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Section: B Wehner Et Al: Aerosol Pollution and Air Mass History In mentioning

confidence: 84%

Relationships between submicrometer particulate air pollution and air mass history in Beijing, China, 2004–2006

et al. 2008

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“…It has not been solved completely for PM 10 and total suspended particles (TSP) pollution, at the same time it was serious for PM 2.5 and O 3 pollution in the region of Beijing-Tianjin-Hebei, Yangtze river delta, pearl river delta, and so on.…”

Section: Pm Pollution Situationmentioning

confidence: 99%

“…For Beijing, the sources of PM 10 were soil/crustal, coal combustion, motor vehicle, oil combustion, the secondary particulate and biomass combustion, which contributed 21.3%, 18.2%, 16.5%, 14.7%, 6.6% and 22.8, respectively [4].…”

Section: Pm Pollution Situationmentioning

confidence: 99%

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The Ambient Particular Matter Pollution Situation and its Health Effect in China

Wang¹,

Wang²,

Yin³

et al. 2012

IJESD

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Abstract-Particular matter is the main pollutant for the ambient environment in China. Some PM 10 pollution index data were analyzed for four different cities. Exposure-response between PM 10 , PM 2.5 and daily mortality of inhabitants in China was discussed. Epidemiological literature of PM 10 , PM 2.5 and daily mortality were extracted using Endnote, and the relationship between PM 10 , PM 2.5 and daily mortality of inhabitants using meta-analysis method. The results show that the air pollution index average value is 92.8, 74, 67.9 and 75.1 for Beijing, Shanghai, Guangzhou and Chongqing, respectively. It is more serious for PM 10 pollution in Beijing than other three cities. The daily mortality of inhabitants increase by 0.29% (95% CI: 0.21%-0.38%) and 0.56% (95% CI: 0.40%-0.72%), as the concentration of PM 10 , PM 2.5 increase a certain degree (10µg/m³). The results of meta-analysis can provide the scientific basis for particular matter pollution control. The related control measurements should be made to reduce PM pollution.

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“…Wuhan, situated in central China (as shown in Figure 1), covers an area of 8594 km 2 and has a population of over 10 million, with the mean annual temperature ranging from 15.8 °C to 17.5 °C [44,45]. As the capital of Hubei province, it is recognized as the industrial base, scientific education base, and transportation center of central China.…”

Section: Study Areamentioning

confidence: 99%

Quantifying the Spatiotemporal Trends of Canopy Layer Heat Island (CLHI) and Its Driving Factors over Wuhan, China with Satellite Remote Sensing

Huang

et al. 2017

Remote Sensing

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Canopy layer heat islands (CLHIs) in urban areas are a growing problem. In recent decades, the key issues have been how to monitor CLHIs at a large scale, and how to optimize the urban landscape to mitigate CLHIs. Taking the city of Wuhan as a case study, we examine the spatiotemporal trends of the CLHI along urban-rural gradients, including the intensity and footprint, based on satellite observations and ground weather station data. The results show that CLHI intensity (CLHII) decays exponentially and significantly along the urban-rural gradients, and the CLHI footprint varies substantially and especially in winter. We then quantify the driving factors of the CLHI by establishing multiple linear regression (MLR) models with the assistance of ZY-3 satellite data (with a spatial resolution of 2.5 m), and obtain five main findings: (1) built-up area had a significant positive effect on daily mean CLHII in summer and a negative effect in winter; (2) vegetation had significant inhibiting effects on daily mean CLHII in both summer and winter; (3) absolute humidity has a significant inhibiting effect on daily mean CLHII in summer and a positive effect in winter; (4) (5) if most of the urban area is transformed into roads (i.e., an extreme case), we estimate that the daily mean CLHII would reach 1.41 • C (0.38-2.44 • C) on 17 September 2013 and 0.14 • C (0.08-0.2 • C) on 23 January 2014 in Wuhan metropolitan area. Overall, the results provide new insights into quantifying the CLHI and its driving factors, to enhance our understanding of urban heat islands.

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Association of daily cause-specific mortality with ambient particle air pollution in Wuhan, China

Cited by 105 publications

References 28 publications

Relationships between submicrometer particulate air pollution and air mass history in Beijing, China, 2004–2006

Relationships between submicrometer particulate air pollution and air mass history in Beijing, China, 2004–2006

The Ambient Particular Matter Pollution Situation and its Health Effect in China

Quantifying the Spatiotemporal Trends of Canopy Layer Heat Island (CLHI) and Its Driving Factors over Wuhan, China with Satellite Remote Sensing

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