2014
DOI: 10.1016/j.atmosenv.2014.04.019
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Retrospective modeling outdoor air pollution at a fine spatial scale in France, 1989–2008

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Cited by 27 publications
(20 citation statements)
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“…This is carried out prospectively from the enrolment of the participants; we are also currently collecting and geocoding all the addresses of the 10 years before enrolment. This allows for assessing the residential exposure of the participants to various parameters available at an ecological scale, such as maps of air pollution41 and climate, electromagnetic fields from powerlines or exposure to radiofrequency fields from mobile phone base stations and broadcast transmitters, water pollution or noise. Residential histories can also be used to study available contextual socioeconomic parameters, such as urbanisation, population density, collective equipment,38 deprivation,42 or an index of accessibility to medical resources,43 already used by several nested research projects in CONSTANCES.…”
Section: What Has Been Measured?mentioning
confidence: 99%
“…This is carried out prospectively from the enrolment of the participants; we are also currently collecting and geocoding all the addresses of the 10 years before enrolment. This allows for assessing the residential exposure of the participants to various parameters available at an ecological scale, such as maps of air pollution41 and climate, electromagnetic fields from powerlines or exposure to radiofrequency fields from mobile phone base stations and broadcast transmitters, water pollution or noise. Residential histories can also be used to study available contextual socioeconomic parameters, such as urbanisation, population density, collective equipment,38 deprivation,42 or an index of accessibility to medical resources,43 already used by several nested research projects in CONSTANCES.…”
Section: What Has Been Measured?mentioning
confidence: 99%
“…Annual concentrations of PM10, PM2.5, NO2, SO2, benzene and summer averages (15 April -15 September) of the daily maximum 8-hour concentrations of O3 were assessed at 2 km resolution throughout France from 1989 to 2008 using the CHIMERE chemistry-transport model, mesh refinement and data assimilation with geostatistical analyses. The modeling strategy is summarized in Figure 1 and has been previously described (Bentayeb et al 2014).…”
Section: Exposure Assessmentmentioning
confidence: 99%
“…The box plots describe the fifth percentile, first quartile, median, third quartile, ninety-fifth percentile of the distribution. Descriptive statistics of the discrepancy (bias, RMSE and correlation) between modelled and observed data (measurements from fixed monitoring stations) from 1989 to 2008 for PM10, PM2.5, NO2, O3, SO2, and benzene were previously detailed (Bentayeb et al 2014). Table 2 shows descriptive statistics of air pollution concentrations as mean ± standard deviation (SD), median and IQR, according to time lag exposure.…”
Section: Air Pollution Exposurementioning
confidence: 99%
“…‚ [P cN *E cp j´1q ] characterizes the population movement outside the study area;p CN is the probability that the population residing in census block N lived in location C (municipality or department or region) in year (j-1) E cp j´1q is the average exposure level of the location C in year (j-1) extracted from the meta-analysis of French studies conducted at the municipal and regional scales (e.g., Bentayeb et al, 2014).…”
Section: Theoretical Modelmentioning
confidence: 99%