Fine particle pollution in Bourgogne Franche-Comté: variability at very high spatio-temporal resolution, modelling, scenario planning

Funding: doctoral grant

Started in october 2022

Supervision: Nadège Martiny

Abstract

The monitoring and prevention of air quality related to the occurrence of suspended particulate matters in the air are crucial public health issues, including medium-sized European cities. The aim of this thesis is twofold: (i) to take up the challenge of characterizing fine particulate matter pollution at a very high space-time resolution in a complex urban environment, based on innovative methodologies based on in-situ measurement networks and numerical modeling (ii) improve our current understanding of the space-time variabilities in PM10, PM2.5 and PM1.0 concentrations at the scale of the street, a neighborhood and a city. The proposed approach is comparative. It includes 2 sites located in Bourgogne Franche-Comté, with well-differentiated air quality patterns : Dijon, whose air quality index is qualified from “good” to “average” and Montbéliard, whose air quality index is described as “good” to “bad for sensitive people”. The research activities will be carried out in 3 parts. The first part will be dedicated to the processing and analysis of in-situ measurements acquired in the 2 cities. The second part will be dedicated to the modeling of surface particulate pollutants concentrations at a 10-meter spatial scale, with a focus on PM1.0, which is particularly toxic and yet still poorly measured and documented. The third part, based on the two previous ones, will consist in characterizing and better understanding the space-time variability of fines particulate matters at very high resolutions in Dijon and Montbéliard. This work will constitute a solid basis for scenarizing what will be the air quality in the coming decades.

Keywords

air quality; particulate matters ; spatio-temporal variability; low-cost measurement networks; very high resolution modeling

Advisory panel

Suzanne Crumeyrolle, Laboratoire d’optique atmosphérique (LOA), Lille University
Nicolas Marilleau, UMR UMMISCO, Institut de recherches pour le développement, Bondy

extrait:

lien_externe:

titre:

La pollution aux particules fines en Bourgogne Franche-Comté : variabilités à très haute résolution spatio-temporelle, modélisation, scénarisation

date_de_debut_these:

octobre 2022

nom:

Marion

date_de_debut_these_numerique:

202210

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kc_raw_content:

Fine particle pollution in Bourgogne Franche-Comté: variability at very high spatio-temporal resolution, modelling, scenario planning

Funding: doctoral grant

Started in october 2022

Supervision: Nadège Martiny

 

Abstract

The monitoring and prevention of air quality related to the occurrence of suspended particulate matters in the air are crucial public health issues, including medium-sized European cities. The aim of this thesis is twofold: (i) to take up the challenge of characterizing fine particulate matter pollution at a very high space-time resolution in a complex urban environment, based on innovative methodologies based on in-situ measurement networks and numerical modeling (ii) improve our current understanding of the space-time variabilities in PM10, PM2.5 and PM1.0 concentrations at the scale of the street, a neighborhood and a city. The proposed approach is comparative. It includes 2 sites located in Bourgogne Franche-Comté, with well-differentiated air quality patterns : Dijon, whose air quality index is qualified from “good” to “average” and Montbéliard, whose air quality index is described as “good” to “bad for sensitive people”. The research activities will be carried out in 3 parts. The first part will be dedicated to the processing and analysis of in-situ measurements acquired in the 2 cities. The second part will be dedicated to the modeling of surface particulate pollutants concentrations at a 10-meter spatial scale, with a focus on PM1.0, which is particularly toxic and yet still poorly measured and documented. The third part, based on the two previous ones, will consist in characterizing and better understanding the space-time variability of fines particulate matters at very high resolutions in Dijon and Montbéliard. This work will constitute a solid basis for scenarizing what will be the air quality in the coming decades.

 

Keywords

air quality; particulate matters ; spatio-temporal variability; low-cost measurement networks; very high resolution modeling

 

Advisory panel

Suzanne Crumeyrolle, Laboratoire d’optique atmosphérique (LOA), Lille University
Nicolas Marilleau, UMR UMMISCO, Institut de recherches pour le développement, Bondy