Monitoring dissolved organic carbon in Swedish forest streams after wildfire

In situ water quality monitoring devices (sondes) allow monitoring of dissolved organic matter (DOC) continuously at a high resolution via measurements of fluorescent dissolved organic matter (fDOM). Two sondes were used to test the hypothesis that DOC in local streams would decrease in concentratio...

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Autor principal: Mcneice, William
Formato: H2
Lenguaje:Inglés
Publicado: SLU/Dept. of Aquatic Sciences and Assessment 2016
Materias:
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author Mcneice, William
author_browse Mcneice, William
author_facet Mcneice, William
author_sort Mcneice, William
collection Epsilon Archive for Student Projects
description In situ water quality monitoring devices (sondes) allow monitoring of dissolved organic matter (DOC) continuously at a high resolution via measurements of fluorescent dissolved organic matter (fDOM). Two sondes were used to test the hypothesis that DOC in local streams would decrease in concentration immediately after forest fire. It was expected that the sondes' measurements would be influenced by turbidity and require post hoc correction. A simple model to predict DOC from fDOM was designed and suggested that DOC inputs were reduced after the fire, but flushing of terrestrial carbon brought values back to normal in following spring. Analysis of fluorescence and absorbance suggested a change in the quality as well as quantity of carbon inputs. Sonde measurements were found to be severely affected by high turbidity events, and varied depending on the stream, but we could partially compensate for this with corrections based on laboratory analysis of samples taken from monitored streams. Future monitoring that relies on fDOM data should be supported by a sampling program to capture natural variation of DOC and turbidity in the monitored stream.
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institution Swedish University of Agricultural Sciences
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publishDate 2016
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spelling RepoSLU87472016-02-08T09:26:23Z Monitoring dissolved organic carbon in Swedish forest streams after wildfire Mcneice, William forest fire sensor organic matter monitoring In situ water quality monitoring devices (sondes) allow monitoring of dissolved organic matter (DOC) continuously at a high resolution via measurements of fluorescent dissolved organic matter (fDOM). Two sondes were used to test the hypothesis that DOC in local streams would decrease in concentration immediately after forest fire. It was expected that the sondes' measurements would be influenced by turbidity and require post hoc correction. A simple model to predict DOC from fDOM was designed and suggested that DOC inputs were reduced after the fire, but flushing of terrestrial carbon brought values back to normal in following spring. Analysis of fluorescence and absorbance suggested a change in the quality as well as quantity of carbon inputs. Sonde measurements were found to be severely affected by high turbidity events, and varied depending on the stream, but we could partially compensate for this with corrections based on laboratory analysis of samples taken from monitored streams. Future monitoring that relies on fDOM data should be supported by a sampling program to capture natural variation of DOC and turbidity in the monitored stream. SLU/Dept. of Aquatic Sciences and Assessment 2016 H2 eng https://stud.epsilon.slu.se/8747/
spellingShingle forest fire
sensor
organic matter
monitoring
Mcneice, William
Monitoring dissolved organic carbon in Swedish forest streams after wildfire
title Monitoring dissolved organic carbon in Swedish forest streams after wildfire
title_full Monitoring dissolved organic carbon in Swedish forest streams after wildfire
title_fullStr Monitoring dissolved organic carbon in Swedish forest streams after wildfire
title_full_unstemmed Monitoring dissolved organic carbon in Swedish forest streams after wildfire
title_short Monitoring dissolved organic carbon in Swedish forest streams after wildfire
title_sort monitoring dissolved organic carbon in swedish forest streams after wildfire
topic forest fire
sensor
organic matter
monitoring