A five-year study of particulate matter (PM2.5) and cerebrovascular diseases

Leiva, A G Manuel; Santibañez, Daniela A; E, Sergio Ibarra; Correa, Patricia Matus; Seguel, Rodrigo

doi:10.1016/j.envpol.2013.05.057

Cited by 203 publications

(75 citation statements)

References 31 publications

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“…It has become one of the major environmental concerns in some Chinese cities, including Beijing, Shanghai, Guangzhou and Nanjing [1]. Some major air pollutants in the atmosphere, including particulate matter (PM), sulfur dioxide (SO 2 ), carbon monoxide (CO), nitrogen dioxide (NO 2 ) and ozone (O 3 ), have attracted increasing attention due to their impacts on air quality, visibility reduction, human health and global climate [2][3][4][5][6]. From June 2000, the China National Environmental Monitoring Center started Air temperature, relative humidity, wind speed, solar radiation and atmospheric pressure were important external factors affecting the concentration of pollutants.…”

Section: Introductionmentioning

confidence: 99%

Air Quality and Control Measures Evaluation during the 2014 Youth Olympic Games in Nanjing and its Surrounding Cities

Zhao

Zheng

2017

Atmosphere

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Abstract:Air pollution had become a vital concern for the 2014 Youth Olympic Games in Nanjing. In order to control air pollutant emissions and ensure better air quality during the Games, the Nanjing municipal government took a series of aggressive control measures to reduce pollutant emissions in Nanjing and its surrounding cities during the Youth Olympic Games. The Air Quality Index (AQI) is an index of air quality which is used to inform the public about levels of air pollution and associated health risks. In this study, we use the AQI and air pollutant concentrations data to evaluate the effectiveness of the implementation of control measures. The results suggest that the emission reduction measures significantly improved air quality in Nanjing. In August 2014, the mean concentrations of PM 2.5 , PM 10 , SO 2 , NO 2 , CO and O 3 were 42.44 µg·m −3 , 59.01 µg·m −3 , 11.12 µg·m −3 , 31.09 µg·m −3 , 0.76 mg·m −3 and 38.39 µg·m −3 , respectively, and fell by 35.92%, 36.75%, 20.40%, 15.05%, 8.54% and 47.15%, respectively, compared to the prophase mean before the emission reduction. After the emission reduction, the mean concentrations of PM 2.5 , PM 10 , SO 2 , NO 2 , and O 3 increased by 20.81%, 41.84%, 22.84%, 21.16% and 60.93%, respectively, which is due to the cancellation of temporary atmospheric pollution control measures. The air pollutants diurnal variation curve during the emission reduction was lower than the other two periods, except for CO. In addition, the AQI of Nanjing and its surrounding cities showed a downward trend, compared with July 2014. The most of effective method to control air pollution is to implement the measures of regional cooperation and joint defense and control, and reduce local emissions during the polluted period, such as airborne dust, coal-burning, vehicle emissions, mobile sources and industrial production.

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Section: Introductionmentioning

confidence: 99%

Air Quality and Control Measures Evaluation during the 2014 Youth Olympic Games in Nanjing and its Surrounding Cities

Zhao

Zheng

2017

Atmosphere

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“…As one of the most common air pollutants, particulate matter with diameter less than 2.5 μm (PM 2.5 ) could seriously reduce atmospheric visibility and cause health problems such as aggravating respiratory symptoms and mortality (Adams et al 2001;Zanobetti et al 2009;Zou et al 2009;Cheng et al 2011). While large populations in economically developing countries and developed countries are exposed to PM 2.5 concentrations which exceed safety thresholds specified by WHO (Leiva et al 2013), understanding the spatial-temporal distribution of PM 2.5 concentrations at global and local scales has become one of the priorities for environmental health researchers. However, accurate measurements of PM 2.5 concentrations over space and time over large geographical areas are still Responsible editor: Michael Matthies * Bin Zou 210010@csu.edu.cn 1 challenging due to the low density of stationary monitoring sites.…”

Section: Introductionmentioning

confidence: 99%

Spatial modeling of PM2.5 concentrations with a multifactoral radial basis function neural network

Zou

Wang

Wan

et al. 2015

Environ Sci Pollut Res

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Accurate measurements of PM2.5 concentration over time and space are especially critical for reducing adverse health outcomes. However, sparsely stationary monitoring sites considerably hinder the ability to effectively characterize observed concentrations. Utilizing data on meteorological and land-related factors, this study introduces a radial basis function (RBF) neural network method for estimating PM2.5 concentrations based on sparse observed inputs. The state of Texas in the USA was selected as the study area. Performance of the RBF models was evaluated by statistic indices including mean square error, mean absolute error, mean relative deviation, and the correlation coefficient. Results show that the annual PM2.5 concentrations estimated by the RBF models with meteorological factors and/or land-related factors were markedly closer to the observed concentrations. RBF models with combined meteorological and land-related factors achieved best performance relative to ones with either type of these factors only. It can be concluded that meteorological factors and land-related factors are useful for articulating the variation of PM2.5 concentration in a given study area. With these covariate factors, the RBF neural network can effectively estimate PM2.5 concentrations with acceptable accuracy under the condition of sparse monitoring stations. The improved accuracy of air concentration estimation would greatly benefit epidemiological and environmental studies in characterizing local air pollution and in helping reduce population exposures for areas with limited availability of air quality data.

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“…Según Franck, Leitte y Suppan (2014) existe evidencia de los efectos adversos sobre la salud de la exposición combinada a los contaminantes del aire y especialmente al material particulado. Para el caso de Santiago de Chile, Cifuentes et al (2000) encuentran una correlación positiva entre seis contaminantes del aire, las partículas finas (MP 2,5 ), partículas gruesas (MP 10 ), monóxido de carbono, dióxido de azufre, dióxido de nitrógeno y ozono con recuentos diarios de muertes no accidentales, mientras Leiva et al (2013) encuentran una asociación entre la exposición a MP 2,5 y los ingresos hospitalarios por infarto.…”

Section: Introduccionunclassified

Tecnologías de control de emisiones y disponibilidad de gas natural como opciones para reducir emisiones de MP2,5 en el Concepción Metropolitano

Mardones¹,

Paredes²,

Jiménez³

et al. 2015

RAE

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A five-year study of particulate matter (PM2.5) and cerebrovascular diseases

Cited by 203 publications

References 31 publications

Air Quality and Control Measures Evaluation during the 2014 Youth Olympic Games in Nanjing and its Surrounding Cities

Air Quality and Control Measures Evaluation during the 2014 Youth Olympic Games in Nanjing and its Surrounding Cities

Spatial modeling of PM2.5 concentrations with a multifactoral radial basis function neural network

Tecnologías de control de emisiones y disponibilidad de gas natural como opciones para reducir emisiones de MP2,5 en el Concepción Metropolitano

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