GIS-based models for ambient PM exposure and health impact assessment for the UK

Stedman, John; Grice, Susannah; Kent, Andrew; Cooke, Sally

doi:10.1088/1742-6596/151/1/012002

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…The model has been recommended for use in epidemiological studies investigating health impacts from air pollution; as yet however, it has only been implemented in one recent epidemiological study to the authors' knowledge (33). The advantage of the PCM model over commonly used regression based methods is the incorporation of detailed data from emission inventories and meteorological data to model the dispersion of pollutants at a fine spatial level (30,34).…”

Section: Background Modelled Concentrationsmentioning

confidence: 99%

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Hannam¹,

McNamee²,

Baker³

et al. 2014

Scand J Work Environ Health

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This paper uses a novel air pollution modelling technique to capture strong spatial and temporal resolution in order to assign exposure estimates to a large cohort, reducing the risk of exposure misclassification. The association between air pollution and adverse pregnancy outcomes is quantified in North West England -an area where this has not been investigated before. Affiliation 518Scand J Work Environ Health 2014, vol 40, no 5 Original article Scand J Work Environ Health. 2014;40(5):518-530. doi:10.5271/sjweh.3423 Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique By Kimberly Hannam, PhD,1,2, 3 Roseanne McNamee, PhD, 3 Philip Baker, MD, 4 Colin Sibley, PhD,1, 2 Raymond Agius, MD 5 Hannam K, McNamee R, Baker P, Sibley C, Agius R. Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique. Scand J Work Environ Health. 2014;40(5):518-530 doi:10.5271/sjweh.3423Objectives Previous work suggests an association between air pollution exposure and adverse pregnancy outcomes, even at relatively low concentrations. Our aim was to quantify the effect of air pollution having an adverse effect on preterm birth (PTB) and fetal growth in a large UK cohort using a novel exposure estimation technique [spatio-temporal (S-T) model] alongside a traditional nearest stationary monitor technique (NSTAT).Methods All available postcodes from a Northwest England birth outcome dataset during 2004-2008 were geocoded (N=203 562 deliveries). Pollution estimates were linked to corresponding pregnancy periods using temporally adjusted background modelled concentrations as well as NSTAT. Associations with PTB, small for gestational age (SGA), and birth weight were investigated using regression models adjusting for maternal age, ethnicity, parity, birth season, socioeconomic status (SES), body mass index (BMI), and smoking.Results Based on the novel S-T model, a small statistically significant association was observed for particulate matter (PM 10 ) and SGA, particularly with exposure in the first and third trimesters. Similar effects on SGA were also found for nitrogen dioxide (NO 2 ), particulate matter (PM 2,5 ), and carbon monoxide (CO) in later pregnancy, but no overall increased risk was observed. No associations were found with NO x or the outcomes PTB and reduction in birth weight. ConclusionOur findings suggest an association between air pollution exposure and birth of a SGA infant, particularly in the later stages of pregnancy but not with PTB or mean birth weight change.Key terms England; exposure estimation; preterm birth; SGA; small-for-gestational age; spatio-temporal model. Pregnancy outcome is determined by the ability of the fetus to thrive, which depends on a complex combination of genetic, social, and environmental factors (1). If, during pregnancy, a mother is exposed to increased environmental or social stressors, this could result in an increased risk of re...

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Section: Background Modelled Concentrationsmentioning

confidence: 99%

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Hannam¹,

McNamee²,

Baker³

et al. 2014

Scand J Work Environ Health

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“……where ρ = 1.204 kg/m 3 at 20ºC, meaning that for the dust particle to be elevated the air velocity squared must be higher than value 2(ρ/ρ 0 )rg or 2(ρ/ρ 0 )dg, where the diameter d is commonly used for the particle size. As an example, the PM2.5 [PM10] with d≤2.5 [10] μm are of essential interest due to their direct negative effects on the human respiratory system.…”

Section: A Rough Estimationmentioning

confidence: 99%

“…are of interest, especially for air quality control in factories and living spaces [2,7] -especially the PM10 [7] and PM2.5 [8][9][10][11][12][13] dusts that could have hazardous effects on human health.…”

mentioning

confidence: 99%

Estimation of Air Velocity for Levitation of Microparticles for Air Quality Control

Pham¹,

Nguyen²,

Vy³

2020

Pol. J. Environ. Stud.

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Affection of microparticles and bioaerosols on human health receives has seen important interest in recent years [1][2][3][4]. Arising from industrial zones, motor vehicles, or living activities, these particles float and are inhaled, causing negative effects on human health [3][4][5][6][7]. Studying to reduce these affects, beside examining the origin, moving laws, and distribution of microparticles in various regions, their direct filtration is also crucial for a cleaner indoor environment. As a result, filtration systems are widely adopted in working and living spaces.The physics of micro-sized particles floating in ambient air are important in both fundamental physics and application. The chaotic behavior is usually described by the Brownian motion of a particle under random affections of external forces that result from the floating force of air or liquid, the collisions of nearby particles, gravitational force, or even electrostatic force if the particle is not electrically neutral. On practical applications, the density and kinetics of these particles

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“…GIS technology, analyzing massive spatial and attributed data of the earth surface, helps simply illustrate patterns, make decisions and solve problems much faster than using any other way. This technology is used by a huge number of industries and organizations for the purpose of crime mapping [10], monitoring ships [11], managing pipelines [12], making health impact assessments [13] and so on.…”

Section: ) Hybrid Cloud Modelmentioning

confidence: 99%

GIS applications in cloud computing platform and recent advances

Aysan

Yigit

Yılmaz

2011

Proceedings of 5th International Conference on Recent Advances in Space Technologies - RAST2011

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There is a rising requirement for high quality satellite photos and also fast distribution of this kind of spatial data. Geographic Information Systems (GIS) platforms are needed to be implemented with the capability of dealing with the massive spatial data, especially image data. Thus these platforms need computational power and high capacity data storage. Nowadays Cloud Computing is one of the most popular IT solutions for GIS. It serves tremendous computing resources over the Internet. Users do not need to know neither the location of the servers which the applications run on nor the data storages their information is collected. The rise of Cloud Computing is making notable change in various areas of information technology. GIS technology users are one of the first customers to explore the cloud-based applications and its benefits. Users take the advantage of sharing spatial data and applications using the cloud. Therefore massive spatial data storages fit into cloud instead of transferring the data via the network.

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GIS-based models for ambient PM exposure and health impact assessment for the UK

Cited by 5 publications

References 8 publications

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Estimation of Air Velocity for Levitation of Microparticles for Air Quality Control

GIS applications in cloud computing platform and recent advances

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