@article{fdi:010072421,
  title = {{E}nvironmental fate and ecotoxicological risk of the antibiotic sulfamethoxazole across the {K}atari catchment ({B}olivian {A}ltiplano) : application of the {GREAT}-{ER} model},
  author = {{A}rchundia, {D}. and {B}oithias, {L}aurie and {D}uwig, {C}{\'e}line and {M}orel, {M}. {C}. and {A}viles, {G}. {F}. and {M}artins, {J}. {M}. {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}ntibiotics are emergent contaminants that can induce adverse effects in terrestrial and aquatic organisms. {T}he surface water compartment is of particular concern as it receives direct waste water discharge. {M}odeling is highlighted as an essential tool to understand the fate and behavior of these compounds and to assess their eco-toxicological risk. {T}his study aims at testing the ability of the {GREAT}-{ER} model in simulating sulfamethoxazole ({SMX}) concentrations in the surface waters of the arid high-altitude {K}atari catchment ({B}olivian {A}ltiplano), assessing the sensitivity of the parameters considered, and evaluating the ecotoxicological risk posed. {T}he model predicted the general spatial pattern of {SMX} concentrations. {N}o contaminant abatement was observed during the wet season, supporting the idea that non-point sources, such as runoff and remobilization processes, play an important role during that season. {D}uring the dry season, the abatement capacity was 91%, suggesting that natural attenuation, particularly photodegradation, is high during low flow. {P}harmaceutical consumption was the parameter that influenced the environmental concentrations the most. {T}he ratio of {P}redicted {E}nvironmental {C}oncentrations to predicted no-effect concentrations varied between 0.14 and 26.6 for the wet season and between 0.14 and 7.6 for the dry season depending on the river stretch.},
  keywords = {{A}ttenuation ; {C}hemical exposure ; {P}harmaceutically active compounds ({P}h{AC}s) ; {P}redicted {E}nvironmental {C}oncentration ({PEC}) ; {BOLIVIE} ; {ANDES}},
  booktitle = {},
  journal = {{S}cience of the {T}otal {E}nvironment},
  volume = {622},
  numero = {},
  pages = {1046--1055},
  ISSN = {0048-9697},
  year = {2018},
  DOI = {10.1016/j.scitotenv.2017.12.026},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072421},
}