Human Health Impact of Exposure to Airborne Particulate Matter in Pearl River Delta, China

Xie, Ping; Liu, Xiaoyun; Liu, Zhaorong; Li, Tiantian; Zhong, Liujv; Xiang, Yunrong

doi:10.1007/s11270-010-0483-0

Cited by 40 publications

(23 citation statements)

References 58 publications

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“…Economic losses caused by air pollution were estimated to be 292 billion RMB in 2006, accounting for 1.35% of the regional Gross Domestic Product (GDP) [26]. As a consequence, the increase in hazy days and deteriorating air quality, greatly impairing the health of the population and the visibility over the region, has drawn widespread attention from the Chinese government and the public [27][28][29][30]. However, there is still a lack of AOT-based estimations for PM concentrations in this area currently.…”

Section: Introductionmentioning

confidence: 99%

Retrieval of High-Resolution Atmospheric Particulate Matter Concentrations from Satellite-Based Aerosol Optical Thickness over the Pearl River Delta Area, China

Yang

Wang

2015

Remote Sensing

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Satellite remote sensing offers an effective approach to estimate indicators of air quality on a large scale. It is critically significant for air quality monitoring in areas experiencing rapid urbanization and consequently severe air pollution, like the Pearl River Delta (PRD) in China. This paper starts with examining ground observations of particulate matter (PM) and the relationship between PM10 (particles smaller than 10 μm) and aerosol optical thickness (AOT) by analyzing observations on the sampling sites in the PRD. A linear regression (R 2 = 0.51) is carried out using MODIS-derived 500 m-resolution AOT and PM10 concentration from monitoring stations. Data of atmospheric boundary layer (ABL) height and relative humidity are used to make vertical and humidity corrections on AOT. Results after correction show higher correlations (R 2 = 0.55) between extinction coefficient and PM10. However, coarse spatial resolution of meteorological data affects the smoothness of retrieved maps, which suggests high-resolution and accurate meteorological data are critical to increase retrieval accuracy of PM. Finally, the model provides the spatial distribution maps of instantaneous and yearly average PM10 over the PRD. It is proved that observed PM10 is more relevant to yearly mean AOT than instantaneous values.

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Section: Introductionmentioning

confidence: 99%

Retrieval of High-Resolution Atmospheric Particulate Matter Concentrations from Satellite-Based Aerosol Optical Thickness over the Pearl River Delta Area, China

Yang

Wang

2015

Remote Sensing

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“…The levels of these targeted pollutants should be therefore monitored continuously and extensively to evaluate the effectiveness of the imposed control measures. Finally, the availability of pollutant concentrations from the network also helps to evaluate the pollution impacts, in term of the criteria pollutants including PM 10 , O 3 and SO 2 , on health and crop loss within the PRD region (Xie et al, 2011;Huang et al, 2012). This paper accounts for the nation's first regional air quality monitoring network development such as measurement technology, and data management and dissemination and Quality Assurance/Quality Control (QA/QC) system, reviews the monitoring results and looks ahead the upcoming challenges and priorities in tackling regional air pollution in the south coast of China.…”

Section: Introductionmentioning

confidence: 99%

The Pearl River Delta Regional Air Quality Monitoring Network - Regional Collaborative Efforts on Joint Air Quality Management

Zhong

Louie²,

Zheng

et al. 2013

Aerosol Air Qual. Res.

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In November 2005 the Guangdong and Hong Kong governments established the Pearl River Delta regional air quality monitoring network ("PRD RAQMN"), which represented the first joint regional air pollution and reporting effort in this rapidly developing and heavy-polluted area in southern China. This project has recorded the air quality trends during the 11 th Five-Year Plan (FYP), implemented between 2006 and 2010, and will continue to do so throughout the period of economic development and stringent emission control of coal-fired power plants and vehicles that are part of the 12 th FYP, to be implemented between 2011 and 2015. The PRD RAQMN serves as a role model for cooperation among local administrative authorities, as well as for the joint prevention and management of air pollution. The PRD RAQMN demonstrates that regional collaboration is critical to address the air pollution problems that China faces in a more effective manner.

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“…These particulate matters are a major cause of disease transformation from factory workers to their family members, which become the ultimate cause of disease magnification in the community. Public health impact exposure to PMs includes both acute (with short-term effects) and chronic (with long-term effects) effects on people (Xie et al 2011). Recent epidemiological studies have found associations between increases in air particulates and increased morbidity and mortality, especially among sensitive subpopulations such as children, elderly, and those with preexisting respiratory and cardiac diseases (U.S. Environmental Protection Agency 1996).…”

Section: Introductionmentioning

confidence: 99%

Monitoring of cotton dust and health risk assessment in small-scale weaving industry

Tahir

Mumtaz

Tauseef

et al. 2011

Environ Monit Assess

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The present study describes the estimation of particulate matter (cotton dust) with different sizes, i.e., PM 1.0 , PM 2.5 , PM 4.0 , and PM 10.0 μm in smallscale weaving industry (power looms) situated in district Hafizabad, Punjab, Pakistan, and the assessment of health problems of workers associated with these pollutants. A significant difference was found in PM 1.0 , PM 2.5 , PM 4.0 , and PM 10.0 with reference to nine different sampling stations with p values <0.05. Multiple comparisons of particulate matter with respect to size, i.e. PM 1.0 , PM 2.5 , PM 4.0 , and PM 10.0 , depict that PM 1.0 differs significantly from PM 2.5 , PM 4.0 , and PM 10.0 , with p values <0.05 and that PM 2.5 differs significantly from PM 1.0 and PM 10.0 , with p values <0.05, whereas PM 2.5 differs nonsignificantly from PM 4.0 , with a p value >0.05 in defined sampling stations on an average basis. Majority of the workers were facing several diseases due to interaction with particulate matter (cotton dust) during working hours. Flue, cough, eye, and skin infections were the most common diseases among workers caused by particulate matter (cotton dust).

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Human Health Impact of Exposure to Airborne Particulate Matter in Pearl River Delta, China

Abstract: To evaluate the potential public health impact of exposure to airborne particulate matter, concentrations of PM 10 and PM 2.5 were measured at 16 monitoring stations in Pearl River Delta. Epidemiological studies were collected, and meta-

Cited by 40 publications

References 58 publications

Retrieval of High-Resolution Atmospheric Particulate Matter Concentrations from Satellite-Based Aerosol Optical Thickness over the Pearl River Delta Area, China

Retrieval of High-Resolution Atmospheric Particulate Matter Concentrations from Satellite-Based Aerosol Optical Thickness over the Pearl River Delta Area, China

The Pearl River Delta Regional Air Quality Monitoring Network - Regional Collaborative Efforts on Joint Air Quality Management

Monitoring of cotton dust and health risk assessment in small-scale weaving industry

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