Mercury concentrations in fish in Finland: Difference between revisions
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conc_mehg <- Ovariable( | conc_mehg <- Ovariable( | ||
"conc_mehg", | "conc_mehg", | ||
dependencies = data.frame(Name="Hg", Ident="Op_en4004/ | dependencies = data.frame(Name="Hg", Ident="Op_en4004/Hg2"), | ||
formula = function(...) { | formula = function(...) { | ||
Hg <- Hg[!(is.na(Hg$MeanLog) | is.na(Hg$SDLog)),] | |||
out <- data.frame() | |||
out | for(i in 1:nrow(Hg)) { | ||
for(i in 1:nrow( | |||
if(openv$N>1) { | if(openv$N>1) { | ||
tmp <- data.frame( | |||
Iter=1:openv$N, | Iter=1:openv$N, | ||
Result=10^rnorm(openv$N, | Result=10^rnorm(openv$N, Hg$MeanLog[i], Hg$SDLog[i]) | ||
) | ) | ||
} else { | } else { | ||
tmp <- data.frame(Result = 10^Hg$MeanLog[i]) | |||
} | } | ||
out <- rbind(out, | |||
data.frame(Area=as.character( | data.frame(Area=as.character(Hg$Area[i]), | ||
Kala=as.character( | Kala=as.character(Hg$Kala[i]), | ||
tmp | |||
) | ) | ||
) | ) | ||
} | } | ||
out <- Ovariable(output=out, marginal=colnames(out) != "Result") * | |||
out <- Ovariable(output= | |||
Ovariable( | Ovariable( | ||
output = data.frame( | output = data.frame( | ||
Line 259: | Line 255: | ||
colnames(Hg)[colnames(Hg)=="x"] <- "Result" | colnames(Hg)[colnames(Hg)=="x"] <- "Result" | ||
Hg$Compound <- "Mercury (µg/g)" | Hg$Compound <- "Mercury (µg/g)" | ||
oprint(Hg) | |||
objects.store(Hg) | |||
cat("Data.frame Hg stored.\n") | |||
</rcode> | |||
==== Updated Hg code ==== | |||
There was a unit conversion error in the Hg code, so an update was made on 2021-02-24 [http://en.opasnet.org/en-opwiki/index.php?title=Special:RTools&id=6b4wREivb5piSXFs]. | |||
<rcode name="Hg2" label="Initiate data.frame Hg"> | |||
# This is code Op_en4004/Hg2 on page [[Mercury concentrations in fish in Finland]] | |||
library(OpasnetUtils) | |||
Hg <- opbase.data( | |||
"Op_en4004", subset = "Kerty database")[c(8,9,12,15,16,17,20,21,22)] | |||
Hg <- Hg[Hg$Näyteosa=="lihas",] | |||
Hg$Tulos <- as.numeric(as.character(Hg$Tulos)) # 140 results has type L0.05, T0.1 or similar and are turned into NA. | |||
Hg$Tulos <- ifelse(Hg$Yksikkö=="µg/kg", Hg$Tulos * 0.001, Hg$Tulos) | |||
Hg$Yksikkö[Hg$Yksikkö=="µg/kg"] <- "mg/kg" | |||
oprint(summary(Hg)) | |||
oprint(aggregate(Hg$Tulos, by = Hg[c("Helcom-alue")], FUN=length)) | |||
oprint(aggregate(Hg$Tulos, by = Hg[c("Näytelaji")], FUN=length)) | |||
# summary(lm(Tulos ~ `Helcom-alue` + Näytelaji, data = Hg)) | |||
# The different species (Näytelaji) vary generally more than +-0.35 mg/kg, while | |||
# the different Helcom areas vary less than +-0.19 | |||
# Because we are mainly interested in Porvoo vs other Finland, we will categorise is accordingly. | |||
Hg$Area <- ifelse(Hg$`Helcom-alue`=="F-Suomenlahti", "Gulf of Finland","Finland") | |||
Hg <- Hg[!is.na(Hg$Tulos),] | |||
Hg$Tulos[Hg$Tulos==0] <- 0.002 # Approximate level of detection | |||
Hg <- rbind( | |||
data.frame( | |||
Parameter = "Mean", | |||
aggregate(Hg$Tulos, by = Hg[c("Area", "Näytelaji")], FUN=mean) | |||
), | |||
data.frame( | |||
Parameter = "SD", | |||
aggregate(Hg$Tulos, by = Hg[c("Area", "Näytelaji")], FUN=sd) | |||
), | |||
data.frame( | |||
Parameter = "MeanLog", | |||
aggregate(log10(Hg$Tulos), by = Hg[c("Area", "Näytelaji")], FUN=mean) | |||
), | |||
data.frame( | |||
Parameter = "SDLog", | |||
aggregate(log10(Hg$Tulos), by = Hg[c("Area", "Näytelaji")], FUN=sd) | |||
), | |||
data.frame( | |||
Parameter = "N", | |||
aggregate(Hg$Tulos, by = Hg[c("Area", "Näytelaji")], FUN=length) | |||
) | |||
) | |||
Hg$Compound <- "Mercury (µg/g)" | |||
Hg <- reshape(Hg, idvar = c("Area","Näytelaji","Compound"), timevar = "Parameter", v.names = "x", direction = "wide") | |||
colnames(Hg)[colnames(Hg)=="Näytelaji"] <- "Kala" | |||
colnames(Hg) <- gsub("x\\.", "", colnames(Hg)) | |||
oprint(Hg) | oprint(Hg) |
Latest revision as of 15:13, 14 March 2021
[show] |
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Question
What are the current total mercury concentrations in different fish species in Finland?
Answer
{{#opasnet_base_link:Op_en4004}}
The results contain e.g. the KERTY database with thousands of mercury measurements from different parts of Finland, both inland lakes and the Baltic Sea.
Rationale
Data
The table below is data from EU-kalat 1 project (2003), and the values are about Baltic herring. (Other fish species were measured but data are not here).[1]
Obs | Age | Size | Concentration |
---|---|---|---|
1 | 1 | 1 | 0.0005 |
2 | 2 | 1 | 0.0005 |
3 | 3 | 1 | 0.0005 |
4 | 2 | 1 | 0.005 |
5 | 2 | 4 | 0.005 |
6 | 5 | 2 | 0.006 |
7 | 2 | 1 | 0.007 |
8 | 1 | 1 | 0.008 |
9 | 2 | 1 | 0.008 |
10 | 3 | 2 | 0.008 |
11 | 3 | 2 | 0.008 |
12 | 2 | 2 | 0.009 |
13 | 3 | 2 | 0.009 |
14 | 3 | 3 | 0.01 |
15 | 2 | 2 | 0.011 |
16 | 3 | 2 | 0.011 |
17 | 1 | 1 | 0.012 |
18 | 2 | 1 | 0.014 |
19 | 4 | 2 | 0.015 |
20 | 4 | 3 | 0.015 |
21 | 1 | 1 | 0.018 |
22 | 3 | 2 | 0.018 |
23 | 2 | 1 | 0.02 |
24 | 2 | 2 | 0.021 |
25 | 2 | 2 | 0.022 |
26 | 4 | 2 | 0.022 |
27 | 6 | 4 | 0.022 |
28 | 8 | 4 | 0.024 |
29 | 6 | 3 | 0.025 |
30 | 5 | 2 | 0.026 |
31 | 4 | 3 | 0.027 |
32 | 5 | 4 | 0.027 |
33 | 8 | 4 | 0.027 |
34 | 6 | 4 | 0.028 |
35 | 5 | 3 | 0.03 |
36 | 2 | 1 | 0.031 |
37 | 7 | 5 | 0.031 |
38 | 3 | 2 | 0.033 |
39 | 10 | 4 | 0.033 |
40 | 6 | 3 | 0.038 |
41 | 10 | 5 | 0.038 |
42 | 12 | 5 | 0.039 |
43 | 6 | 4 | 0.04 |
44 | 5 | 5 | 0.043 |
45 | 7 | 5 | 0.043 |
46 | 7 | 4 | 0.048 |
47 | 6 | 3 | 0.049 |
48 | 6 | 3 | 0.049 |
49 | 3 | 2 | 0.051 |
50 | 9 | 5 | 0.054 |
51 | 9 | 4 | 0.066 |
52 | 7 | 5 | 0.069 |
53 | 3 | 5 | 0.072 |
54 | 11 | 4 | 0.083 |
55 | 11 | 5 | 0.107 |
Calculations
conc_mehg for PFAS disease burden
This code was developed for op_fi:PFAS-yhdisteiden tautitaakka. It contains all fish species from Hg table but only Gulf of Finland and Bothnian Bay as areas.
conc_mehg for Goherr assessment
This code contains only Baltic herring and salmon as fish species.
- 6.10.2017 data.frame Hg initiated [2]
Updated Hg code
There was a unit conversion error in the Hg code, so an update was made on 2021-02-24 [3].
See also
Metalli_RAPORTTI Report EU-kalat about heavy metals in fish in Finland
- Benefit-risk assessment of methyl mercury and omega-3 fatty acids in fish
Miller WaterAirSoilPollut 2013
NordicHg_B1761 Mercury in Nordic ecosystems 2007
- Instructions for Kerty data Data received from Kerty 3th Sep 2014. Further questions can be asked from Simo Salo (at ymparisto.fi)