Difference between revisions of "POPs in Baltic herring"
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m (→Answer: more result figures added) |
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POP concentrations in Baltic sea fish have been measured from samples collected in [[EU-kalat]] project. The original data of individual fish samples si accessible through Opasnet base. This data is used here for a Bayesian model to calculate posterior distributions (mean and SD) for each congener. This data is then translated into TEQ to be used for health impact assessment of Baltic herring. | POP concentrations in Baltic sea fish have been measured from samples collected in [[EU-kalat]] project. The original data of individual fish samples si accessible through Opasnet base. This data is used here for a Bayesian model to calculate posterior distributions (mean and SD) for each congener. This data is then translated into TEQ to be used for health impact assessment of Baltic herring. | ||
− | Posterior congener mean concentrations are presented below for each compound group (PCDD/F, PCB, BDE) taken under analysis in EU-kalat not shown yet). | + | Posterior congener mean concentrations are presented below for each compound group (PCDD/F, PCB, BDE) taken under analysis in EU-kalat (not shown yet). |
Based on the mean concentrations of individual congeners, TEQs are calculated for each congener and plotted below. | Based on the mean concentrations of individual congeners, TEQs are calculated for each congener and plotted below. | ||
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objects.latest("Op_en2583", "pop_bayes") | objects.latest("Op_en2583", "pop_bayes") | ||
− | ggplot( | + | ggplot(subset(resultsall@output, grepl("PCB", Congener) & grepl("Meanorig.x", variable)), aes(x = Congener, y = resultsallResult, fill = Congener)) + geom_bar(stat = "identity") + |
− | labs(x = "Congener", y = "TEQ (pg/g fat)") + coord_flip() + ggtitle("Mean TEQ in Baltic herring") | + | labs(x = "Congener", y = "Concentration (pg/g fat)") + coord_flip() + ggtitle("Mean concentrations of PCB's in Baltic herring") |
+ | |||
+ | ggplot(subset(resultsall@output, grepl("CD", Congener) & grepl("Meanorig.x", variable)), aes(x = Congener, y = resultsallResult, fill = Congener)) + geom_bar(stat = "identity") + | ||
+ | labs(x = "Congener", y = "Concentration (pg/g fat)") + coord_flip() + ggtitle("Mean concentrations of PCDD/F's in Baltic herring") | ||
+ | |||
+ | ggplot(subset(resultsall@output, grepl("BDE", Congener) & grepl("Meanorig.x", variable)), aes(x = Congener, y = resultsallResult, fill = Congener)) + geom_bar(stat = "identity") + | ||
+ | labs(x = "Congener", y = "Concentration (pg/g fat)") + coord_flip() + ggtitle("Mean concentrations of BDE's in Baltic herring") | ||
+ | |||
+ | ggplot(subset(teq@output, grepl("Meanpost", variable)), aes(x = Congener, y = Result, fill = Congener)) + geom_bar(stat = "identity") + | ||
+ | labs(x = "Congener", y = "TEQ (pg/g fat)") + coord_flip() + ggtitle("Mean TEQ of POPs in Baltic herring") | ||
+ | |||
+ | |||
+ | |||
+ | |||
</rcode> | </rcode> |
Revision as of 11:02, 17 June 2016
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Contents
Question
What are the concentrations of persistent organic pollutants (POPs) in Baltic herring.
Answer
Answer is under work.
POP concentrations in Baltic sea fish have been measured from samples collected in EU-kalat project. The original data of individual fish samples si accessible through Opasnet base. This data is used here for a Bayesian model to calculate posterior distributions (mean and SD) for each congener. This data is then translated into TEQ to be used for health impact assessment of Baltic herring.
Posterior congener mean concentrations are presented below for each compound group (PCDD/F, PCB, BDE) taken under analysis in EU-kalat (not shown yet).
Based on the mean concentrations of individual congeners, TEQs are calculated for each congener and plotted below.