Modelling and mapping trace element accumulation in Sphagnum peatlands at the European scale using a geomatic model of pollutant emissions dispersion

Díaz-de-Quijano, Maria; Joly, Daniel; Gilbert, Daniel; Toussaint, Marie‐Laure; Franchi, Marielle; Fallot, Jean-Michel; Bernard, Nadine

doi:10.1016/j.envpol.2016.03.036

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…The "global" regressions referred to above provide poor results when applied to climatologically heterogeneous areas such as France. The solution chosen to overcome this difficulty is to carry out "local" regressions (Joly et al 2011;Diaz-de-Quijano 2016). This method is based primarily on the recognition of the n nearest monitored stations to each pixel according to a neighborhood criterion.…”

Section: Figure 2 Available Data and Their Transformation For Further...mentioning

confidence: 99%

Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France

Joly

Gilbert

Díaz-de-Quijano

et al. 2020

Theor Appl Climatol

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Public health institutions need high-resolution next-day forecasts so they can order appropriate measures when there is a risk of air pollution exceeding regulatory thresholds. The MOCAGE model, the chemistry transport model developed by Météo-France, forecasts hourly surface PM10 concentrations at a resolution of 0.1° throughout France (7.6 km). To obtain more efficient forecasts, a downscaling method is applied using topographic data (250 m resolution) and inventory data (2.2 km). All these disparate inputs are spatially standardized in a geographical information system to construct continuous daily fields at 250 m resolution. This method is suitable for large territories with widely varying environments (mountains, lowlands, coastlines, urban areas, etc.) and areas with a low density of monitoring stations. The parameters used to improve MOCAGE forecasts are derived from "global" and "local" regressions describing the links between the daily PM10 concentration averages collected at 325 monitoring stations and seven explanatory variables (three topographic and four emission-inventory variables). One of the main results shows that the topographic and emission variables respectively explain 6% and 13% of PM10 variance in France. Analysis by local regression accounts for 74% of the spatial variation of PM10 concentration while the global regression accounts for 49%. The results show above all that, if the authorities responsible for human health protection had used the downscaling method instead of MOCAGE raw forecasts in 2016, they would have informed or alerted ten times as many people about the information and recommendation threshold (50 μg.m -3 ) and alert threshold (80 μg.m -3 ) being exceeded.

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Section: Figure 2 Available Data and Their Transformation For Further...mentioning

confidence: 99%

Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France

Joly

Gilbert

Díaz-de-Quijano

et al. 2020

Theor Appl Climatol

Self Cite

View full text Add to dashboard Cite

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Origin and diversity of testate amoebae shell composition: Example of Bullinularia indica living in Sphagnum capillifolium

Delaine

Bernard

Gilbert

et al. 2017

European Journal of Protistology

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Modelling and mapping trace element accumulation in Sphagnum peatlands at the European scale using a geomatic model of pollutant emissions dispersion

Cited by 2 publications

References 33 publications

Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France

Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France

Origin and diversity of testate amoebae shell composition: Example of Bullinularia indica living in Sphagnum capillifolium

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