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Geospatial Variability of Fluorescent Dissolved Organic Matter in Urban Watersheds: Relationships with Land Cover and Wastewater Infrastructure.
Batista-Andrade, Jahir A; Welty, Claire; Iglesias Vega, Diego; McClain, Anna; Blaney, Lee.
Afiliação
  • Batista-Andrade JA; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Circle, Engineering 314, Baltimore, Maryland 21250, United States.
  • Welty C; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Circle, Engineering 314, Baltimore, Maryland 21250, United States.
  • Iglesias Vega D; Center for Urban Environmental Research and Education, University of Maryland Baltimore County, Technology Research Center 102, Baltimore, Maryland 21250, United States.
  • McClain A; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Circle, Engineering 314, Baltimore, Maryland 21250, United States.
  • Blaney L; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Circle, Engineering 314, Baltimore, Maryland 21250, United States.
Environ Sci Technol ; 58(17): 7529-7542, 2024 Apr 30.
Article em En | MEDLINE | ID: mdl-38644662
ABSTRACT
We investigated the fluorescent dissolved organic matter (FDOM) composition in two watersheds with variable land cover and wastewater infrastructure, including sanitary sewers and septic systems. A four-component parallel factor analysis model was constructed from 295 excitation-emission matrices recorded for stream samples to examine relationships between FDOM and geospatial parameters. The contributions of humic acid- and fulvic acid-like fluorescence components (e.g., C1, C2, C3) were fairly consistent across a 12 month period for the 27 sampling sites. In contrast, the protein-like fluorescence component (C4) and a related ratiometric wastewater indicator (C4/C3) exhibited high variability in urban tributaries, suggesting that some sites were impacted by leaking sewer infrastructure. Principal component analysis indicated that urban areas clustered with impervious surfaces and sanitary sewer density, and cross-covariance analysis identified strong positive correlations between C4, impervious surfaces, and sanitary sewer density at short lag distances. The presence of wastewater was confirmed by detection of sucralose (up to 1,660 ng L-1) and caffeine (up to 1,740 ng L-1). Our findings not only highlight the potential for C4 to serve as an indicator of nearby, compromised sanitary sewer infrastructure, but also suggest that geospatial data can be used to predict areas vulnerable to wastewater contamination.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Águas Residuárias Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Águas Residuárias Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos