@article{fdi:010093895, title = {{E}corc'{A}ir : a citizen science project for the biomonitoring of vehicular air pollution in {P}aris, {F}rance}, author = {{C}arvallo, {C}. and {I}sambert, {A}. and {F}ranke, {C}. and {T}urcati, {L}. and {S}ivry, {Y}. and {C}oural, {S}. and {M}acouin, {M}. and {R}ousse, {S}onia and {F}luteau, {F}.}, editor = {}, language = {{ENG}}, abstract = {{A}irborne particulate matter ({PM}) is known to have adverse health effects and is a growing concern in urban areas. {S}patial and temporal variability is difficult to assess with the few air quality stations typically available in cities. {A}s an alternative, tree bark acts as a passive captor on which {PM} is deposited. {M}agnetic susceptibility measurements can be used as a proxy indicator to estimate pollution from vehicle sources. {W}e present the citizen science project called {E}corc'{A}ir, in which volunteers collect plane tree bark samples, mainly in {P}aris, which are then sent to laboratories and used for various measurements. {T}he project has developed since 2016, leading to the production of annual maps that identify variations in magnetic particle concentrations. {T}he correlation between magnetic susceptibility and metal content has been verified using multi elemental analysis. {T}hanks to these numerous samples, we were able to identify areas with consistently high susceptibility values over time. {W}e also quantified the decrease in susceptibility values with the distance between the tree and the road, as well as the shielding effect of parked cars on pedestrians. {W}e showed trends in susceptibility variations over time along a specific well?sampled road, suggesting that this type of sampling and measurement could be used to quantify variations in metallic pollution at a local scale. {F}inally, through interviews, we found that there is a growing interest and participation of city dwellers, especially those involved in local associations, to act in favor of environmental research, as well as of municipalities to offer support.}, keywords = {{FRANCE} ; {PARIS}}, booktitle = {}, journal = {{C}ommunity {S}cience}, volume = {3}, numero = {3}, pages = {e2024{CSJ}000084 [17 ]}, ISSN = {2692-9430}, year = {2024}, DOI = {10.1029/2024{CSJ}000084}, URL = {https://www.documentation.ird.fr/hor/fdi:010093895}, }