Prospects for finding Junge variability-lifetime relationships for micropollutants in the Danube river

Persistence of chemical pollutants is difficult to measure in the field. Junge variability-lifetime relationships, correlating the relative standard deviation of measured concentrations with residence time, have been used to estimate persistence of air pollutants. Junge relationships for micropollut...

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Veröffentlicht in:Environmental science--processes & impacts 2019-09, Vol.21 (9), p.1489-1497
Hauptverfasser: Coll, Claudia, Lindim, Claudia, Sobek, Anna, Sohn, Michael D, MacLeod, Matthew
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container_end_page 1497
container_issue 9
container_start_page 1489
container_title Environmental science--processes & impacts
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creator Coll, Claudia
Lindim, Claudia
Sobek, Anna
Sohn, Michael D
MacLeod, Matthew
description Persistence of chemical pollutants is difficult to measure in the field. Junge variability-lifetime relationships, correlating the relative standard deviation of measured concentrations with residence time, have been used to estimate persistence of air pollutants. Junge relationships for micropollutants in rivers could provide evidence that half-lives of compounds estimated from laboratory and field data are representative of half-lives in a specific system, location and time. Here, we explore the hypothesis that Junge relationships could exist for micropollutants in the Danube river using: (1) concentrations of six hypothetical chemicals modeled using the STREAM-EU fate and transport model, and (2) concentrations of nine micropollutants measured in the third Joint Danube Survey (JDS3) combined with biodegradation half-lives reported in the literature. Using STREAM-EU, we found that spatial and temporal variability in modeled concentrations was inversely correlated with half-life for the four micropollutants with half-lives ≤90 days. For these four modeled micropollutants, we found Junge relationships with slopes significantly different from zero in the temporal variability of concentrations at 88% of the 67 JDS3 measurement sites, and in the spatial variability of concentrations on 36% out of 365 modeled days. A Junge relationship significant at the 95% confidence level was not found in the spatial variability of nine micropollutants measured in the JDS3, nor in STREAM-EU-modeled concentrations extracted for the dates and locations of the JDS3. Nevertheless, our model scenarios suggest that Junge relationships might be found in future measurements of spatial and temporal variability of micropollutants, especially in temporal variability of pollutants measured downstream in the Danube river. Junge variability-lifetime relationships could potentially be used to infer persistence of micropollutants in rivers from field measurements of concentrations.
doi_str_mv 10.1039/c9em00283a
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For these four modeled micropollutants, we found Junge relationships with slopes significantly different from zero in the temporal variability of concentrations at 88% of the 67 JDS3 measurement sites, and in the spatial variability of concentrations on 36% out of 365 modeled days. A Junge relationship significant at the 95% confidence level was not found in the spatial variability of nine micropollutants measured in the JDS3, nor in STREAM-EU-modeled concentrations extracted for the dates and locations of the JDS3. Nevertheless, our model scenarios suggest that Junge relationships might be found in future measurements of spatial and temporal variability of micropollutants, especially in temporal variability of pollutants measured downstream in the Danube river. 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Lindim, Claudia ; Sobek, Anna ; Sohn, Michael D ; MacLeod, Matthew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-17f5a7024588a0833b0fcc920f7e00188892f4e8d50172b71eeb18d8bf195ad33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Air Pollutants - analysis</topic><topic>Air pollution</topic><topic>Applied Environmental Science</topic><topic>Biodegradation</topic><topic>Biodegradation, Environmental</topic><topic>Chemical pollutants</topic><topic>Chemical pollution</topic><topic>Confidence intervals</topic><topic>Creeks &amp; streams</topic><topic>Environmental Monitoring - methods</topic><topic>Half-life</topic><topic>Micropollutants</topic><topic>Models, Theoretical</topic><topic>Organic chemistry</topic><topic>Pollutants</topic><topic>Rivers</topic><topic>Rivers - chemistry</topic><topic>tillämpad miljövetenskap</topic><topic>Variability</topic><topic>Water Pollutants, Chemical - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coll, Claudia</creatorcontrib><creatorcontrib>Lindim, Claudia</creatorcontrib><creatorcontrib>Sobek, Anna</creatorcontrib><creatorcontrib>Sohn, Michael D</creatorcontrib><creatorcontrib>MacLeod, Matthew</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>OSTI.GOV</collection><collection>SWEPUB Stockholms universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Stockholms universitet</collection><collection>SwePub Articles full text</collection><jtitle>Environmental science--processes &amp; 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Junge variability-lifetime relationships, correlating the relative standard deviation of measured concentrations with residence time, have been used to estimate persistence of air pollutants. Junge relationships for micropollutants in rivers could provide evidence that half-lives of compounds estimated from laboratory and field data are representative of half-lives in a specific system, location and time. Here, we explore the hypothesis that Junge relationships could exist for micropollutants in the Danube river using: (1) concentrations of six hypothetical chemicals modeled using the STREAM-EU fate and transport model, and (2) concentrations of nine micropollutants measured in the third Joint Danube Survey (JDS3) combined with biodegradation half-lives reported in the literature. Using STREAM-EU, we found that spatial and temporal variability in modeled concentrations was inversely correlated with half-life for the four micropollutants with half-lives ≤90 days. For these four modeled micropollutants, we found Junge relationships with slopes significantly different from zero in the temporal variability of concentrations at 88% of the 67 JDS3 measurement sites, and in the spatial variability of concentrations on 36% out of 365 modeled days. A Junge relationship significant at the 95% confidence level was not found in the spatial variability of nine micropollutants measured in the JDS3, nor in STREAM-EU-modeled concentrations extracted for the dates and locations of the JDS3. Nevertheless, our model scenarios suggest that Junge relationships might be found in future measurements of spatial and temporal variability of micropollutants, especially in temporal variability of pollutants measured downstream in the Danube river. 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identifier ISSN: 2050-7887
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source MEDLINE; SWEPUB Freely available online; Royal Society Of Chemistry Journals 2008-
subjects Air Pollutants - analysis
Air pollution
Applied Environmental Science
Biodegradation
Biodegradation, Environmental
Chemical pollutants
Chemical pollution
Confidence intervals
Creeks & streams
Environmental Monitoring - methods
Half-life
Micropollutants
Models, Theoretical
Organic chemistry
Pollutants
Rivers
Rivers - chemistry
tillämpad miljövetenskap
Variability
Water Pollutants, Chemical - analysis
title Prospects for finding Junge variability-lifetime relationships for micropollutants in the Danube river
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