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Organic Micropollutants in New York Lakes: A Statewide Citizen Science Occurrence Study.
Wang, Shiru; Matt, Monica; Murphy, Bethany L; Perkins, MaryGail; Matthews, David A; Moran, Sharon D; Zeng, Teng.
Afiliación
  • Wang S; Department of Civil and Environmental Engineering, Syracuse University, 151 Link Hall, Syracuse, New York 13244, United States.
  • Matt M; Upstate Freshwater Institute, 224 Midler Park Drive, Syracuse, New York 13206, United States.
  • Murphy BL; Department of Civil and Environmental Engineering, Syracuse University, 151 Link Hall, Syracuse, New York 13244, United States.
  • Perkins M; Upstate Freshwater Institute, 224 Midler Park Drive, Syracuse, New York 13206, United States.
  • Matthews DA; Upstate Freshwater Institute, 224 Midler Park Drive, Syracuse, New York 13206, United States.
  • Moran SD; Department of Environmental Studies, SUNY College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, New York 13210, United States.
  • Zeng T; Department of Civil and Environmental Engineering, Syracuse University, 151 Link Hall, Syracuse, New York 13244, United States.
Environ Sci Technol ; 54(21): 13759-13770, 2020 11 03.
Article en En | MEDLINE | ID: mdl-33064942
ABSTRACT
The widespread occurrence of organic micropollutants (OMPs) is a challenge for aquatic ecosystem management, and closing the gaps in risk assessment of OMPs requires a data-driven approach. One promising tool for increasing the spatiotemporal coverage of OMP data sets is through the active involvement of citizen volunteers to expand the scale of OMP monitoring. Working collaboratively with volunteers from the Citizens Statewide Lake Assessment Program (CSLAP), we conducted the first statewide study on OMP occurrence in surface waters of New York lakes. Samples collected by CSLAP volunteers were analyzed for OMPs by a suspect screening method based on mixed-mode solid-phase extraction and liquid chromatography-high resolution mass spectrometry. Sixty-five OMPs were confirmed and quantified in samples from 111 lakes across New York. Hierarchical clustering of OMP occurrence data revealed the relevance of 11 most frequently detected OMPs for classifying the contamination status of lakes. Partial least squares regression and multiple linear regression analyses prioritized three water quality parameters linked to agricultural and developed land uses (i.e., total dissolved nitrogen, specific conductance, and a wastewater-derived fluorescent organic matter component) as the best combination of predictors that partly explained the interlake variability in OMP occurrence. Lastly, the exposure-activity ratio approach identified the potential for biological effects associated with detected OMPs that warrant further biomonitoring studies. Overall, this work demonstrated the feasibility of incorporating citizen science approaches into the regional impact assessment of OMPs.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Lagos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Environ Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Lagos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Environ Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos