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High-speed limnology: using advanced sensors to investigate spatial variability in biogeochemistry and hydrology.
Crawford, John T; Loken, Luke C; Casson, Nora J; Smith, Colin; Stone, Amanda G; Winslow, Luke A.
Afiliación
  • Crawford JT; U.S. Geological Survey , National Research Program, 3215 Marine Street, Boulder, Colorado 80303, United States.
Environ Sci Technol ; 49(1): 442-50, 2015 Jan 06.
Article en En | MEDLINE | ID: mdl-25406073
ABSTRACT
Advanced sensor technology is widely used in aquatic monitoring and research. Most applications focus on temporal variability, whereas spatial variability has been challenging to document. We assess the capability of water chemistry sensors embedded in a high-speed water intake system to document spatial variability. This new sensor platform continuously samples surface water at a range of speeds (0 to >45 km h(-1)) resulting in high-density, mesoscale spatial data. These novel observations reveal previously unknown variability in physical, chemical, and biological factors in streams, rivers, and lakes. By combining multiple sensors into one platform, we were able to detect terrestrial-aquatic hydrologic connections in a small dystrophic lake, to infer the role of main-channel vs backwater nutrient processing in a large river and to detect sharp chemical changes across aquatic ecosystem boundaries in a stream/lake complex. Spatial sensor data were verified in our examples by comparing with standard lab-based measurements of selected variables. Spatial fDOM data showed strong correlation with wet chemistry measurements of DOC, and optical NO3 concentrations were highly correlated with lab-based measurements. High-frequency spatial data similar to our examples could be used to further understand aquatic biogeochemical fluxes, ecological patterns, and ecosystem processes, and will both inform and benefit from fixed-site data.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lagos / Limnología / Monitoreo del Ambiente / Ríos Tipo de estudio: Evaluation_studies Idioma: En Revista: Environ Sci Technol Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lagos / Limnología / Monitoreo del Ambiente / Ríos Tipo de estudio: Evaluation_studies Idioma: En Revista: Environ Sci Technol Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos