@article{fdi:010061356, title = {{T}ransplantation of epiphytic bioaccumulators ({T}illandsia capillaris) for high spatial resolution biomonitoring of trace elements and point sources deconvolution in a complex mining/smelting urban context}, author = {{G}oix, {S}. and {R}esongles, {E}. and {P}oint, {D}avid and {O}liva, {P}. and {D}uprey, {J}ean-{L}ouis and de la {G}alvez, {E}. and {U}garte, {L}. and {H}uayta, {C}. and {P}runier, {J}. and {Z}ouiten, {C}. and {G}ardon, {J}acques}, editor = {}, language = {{ENG}}, abstract = {{M}onitoring atmospheric trace elements ({TE}) levels and tracing their source origin is essential for exposure assessment and human health studies. {E}piphytic {T}illandsia capillaris plants were used as bio-accumulator of {TE} in a complex polymetallic mining/smelting urban context ({O}ruro, {B}olivia). {S}pecimens collected from a pristine reference site were transplanted at a high spatial resolution (similar to 1 sample/km(2)) throughout the urban area. {A}bout twenty-seven elements were measured after a 4-month exposure, also providing new information values for reference material {BCR}482. {S}tatistical power analysis for this biomonitoring mapping approach against classical aerosols surveys performed on the same site showed the better aptitude of {T}. {C}apillaris to detect geographical trend, and to deconvolute multiple contamination sources using geostatistical principal component analysis. {T}ransplanted specimens in the vicinity of the mining and smelting areas were characterized by extreme {TE} accumulation ({S}n > {A}g > {S}b > {P}b > {C}d > {A}s > {W} > {C}u > {Z}n). {T}hree contamination sources were identified: mining ({A}g, {P}b, {S}b), smelting ({A}s, {S}n) and road traffic ({Z}n) emissions, confirming results of previous aerosol survey.}, keywords = {{B}ioaccumulation ; {T}illandsia capillaris ; {T}race elements ; {M}ining and smelting activities ; {A}tmospheric contamination ; {BCR}482 ; {BOLIVIE}}, booktitle = {}, journal = {{A}tmospheric {E}nvironment}, volume = {80}, numero = {}, pages = {330--341}, ISSN = {1352-2310}, year = {2013}, DOI = {10.1016/j.atmosenv.2013.08.011}, URL = {https://www.documentation.ird.fr/hor/fdi:010061356}, }