Exposures in Finland: Difference between revisions

Latest revision as of 07:22, 18 June 2015

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Question

What are typical exposure levels of common pollutants in Finland?

Answer

+ Show code - Hide code


library(OpasnetUtils) # A package with Opasnet functionalities
library(xtable)       # A package with table formats
library(ggplot2)      # A package with fancy graph formats

objects.latest("Op_en5918", "initiate") # Get the latest ovariables from code calculations on page Op_en5918.

oprint(summary(EvalOutput(Exposure)))
oprint(summary(EvalOutput(Background.Exposure)))
oprint(summary(EvalOutput(Exposed.Fraction)))

Default run

Rationale

Calculations

+ Show code - Hide code

library(OpasnetUtils)
library(xtable)

exposure.fiRaw <- Ovariable("exposure.fiRaw", ddata = "Op_en5918", getddata = FALSE)

Exposure <- Ovariable(
	name = "Exposure", 
	dependencies = data.frame(Name = "exposure.fiRaw", Ident = "Op_en5918/initiate"),
	formula = function(...) {
		out <- exposure.fiRaw@output
		out <- out[out$Observation == "Exposure" , colnames(out) != "Observation"]
		colnames(out)[colnames(out) == "exposure.fiRawResult"] <- "Result"
		return(out)
	}
)

Exposed.Fraction <- Ovariable(
	name = "Exposed.Fraction", 
	dependencies = data.frame(Name = "exposure.fiRaw", Ident = "Op_en5918/initiate"),
	formula = function(...) {
		out <- exposure.fiRaw@output
		out <- out[out$Observation == "Exposed.fraction" , colnames(out) != "Observation"]
		colnames(out)[colnames(out) == "exposure.fiRawResult"] <- "Result"
		return(out)
	}
)

Background.Exposure <- Ovariable(
	name = "Background.Exposure", 
	dependencies = data.frame(Name = "exposure.fiRaw", Ident = "Op_en5918/initiate"),
	formula = function(...) {
		out <- exposure.fiRaw@output
		out <- out[out$Observation == "Background.exposure" , colnames(out) != "Observation"]
		colnames(out)[colnames(out) == "exposure.fiRawResult"] <- "Result"
		return(out)
	}
)

objects.store(exposure.fiRaw, Exposure, Exposed.Fraction, Background.Exposure)

cat("Ovariables exposure.fiRaw, Exposure, Exposed.Fraction, and Background.Exposure saved. page_indent = Op_en5918, code_name = initiate\n")

Dependencies

Data

The data from op_fi:Seturi/altistus

Exposures in Finland: Difference between revisions(-)
Obs	Exposure.agent	Exposure.route	Unit	Exposure.metric	Population	Age	Exposed.fraction	Exposure	Background.exposure	Description
1	Indoor radon	Inhalation	Bq /m3	-	Whole population		1	100 (95 - 105)	5 (4 - 9)
2	PM2.5	Inhalation	µg /m3	-	Whole population		1	7 (6 - 8)	3
3	Chlorination byproducts	Ingestion	µg /L	-	People using chlorinated surface water		0.44	611 (488.8 - 733.2)	0
4	Outdoor noise	Hearing	dB	Lden(dB)	Whole population		0.144	59	0	Background exposure marked as zero, because data missing, <59 dB
5	Arsenic	Ingestion	µg /L	-	People using water from bore wells		0.19; 0.01; 0.04	0.998	0.14
6	Arsenic	Ingestion	µg /L	Moderately exposed	People using wellwater in Pirkanmaa		0.267	2.5	0.14
7	Arsenic	Ingestion	µg /L	Little exposed	People using wellwater in Pirkanmaa		0.667	0.14	0.14
8	Arsenic	Ingestion	µg /L	Much exposed	People using wellwater in Pirkanmaa		0.066	34.79	0.14
9	Environmental tobacco smoke	Inhalation	Yes/no	-	Whole population		0.12; 0.178; 0.265	1	0
10	Environmental tobacco smoke	Inhalation	Yes/no	-	Whole population	>21	0.12; 0.178; 0.265	1	0
11	Environmental tobacco smoke	Inhalation	Yes/no	-	Whole population	<14	0.01; 0.03; 0.07	1	0
12	Environmental tobacco smoke	Inhalation	Yes/no	-	Whole population	<2	0.01; 0.03; 0.07	1	0
13	Environmental tobacco smoke	Inhalation	Yes/no	-	Whole population	<3	0.01; 0.03; 0.07	1	0
14	Formaldehyde	Inhalation	µg /m3	-	Whole population	<14	0.05; 0.12; 0.2	56.7	40
15	Formaldehyde	Inhalation	µg /m3	-	Whole population		1	20; 27; 50	1
16	Formaldehyde	Inhalation	µg /m3	-	Population at working age		0.03	15; 150; 500	1
17	Outdoor ozone	Inhalation	µg /m3	-	Whole population		1	7.07	0	Toinen arvio altistuneista 0.626; Exposure as SOMO35/365 (2580/365), background 70 taken already into account
18	Dampness damage	Inhalation		-	Whole population		0.05; 0.15; 0.33	1	0
19	Work noise	Hearing	dB	LAeq8h(dB)	Population at working age		0.327	0	80	Exposure marked zero, because data is missing
20	Work noise	Hearing	dB	Moderate noise exposed	Population at working age		0.057	80; 85	0	Background exposure marked as zero, because data missing
21	Work noise	Hearing	dB	Loud noise exposed	Population at working age		0.053	85; 100	0	Background exposure marked as zero, because data missing. Exposure is >85.
22	Wood dust at work	Inhalation	mg /m3	-	Population at working age		0.0185	0	0	Exposure marked zero, because data is missing
23	Hitsaushuurut työssä	Inhalation		-	Population at working age		0.01	0	0	Exposure marked zero, because data is missing
24	Diesel smoke at work	Inhalation		-	Population at working age		0.01	0	0	Exposure and background exposure marked zero, because data is missing
25	Dusts, fumes, and chemicals at work	Inhalation		-	Population at working age	15-64	0.26	0	0	Exposure and background exposure marked zero, because data is missing
26	Quatzdust	Inhalation	mg /m3	-	Population at working age		0.01996	0.02; 0.04; 0.1	0
27	Dioxin	Ingestion	pg /kg /d	-	Whole population		0.05; 0.595; 0.76	1.42; 2.65; 3.89	0
28	Benzene	Inhalation	ug /m3	-	Whole population		1	1; 3; 5	0
29	Benzene	Inhalation		-	Population at working age		0.001	10; 100; 960	3
30	Asbest at work	Inhalation		-	Population at working age		0.001	0.01; 0.05; 0.1	0
31	Methylmercury	Ingestion	mg /kg /d	-	Whole population	<1	0.95	0	0	Exposure and background exposure marked zero, because data is missing
32	Lead	Kaikki reitit	ug /L	-	Whole population		0; 0.009; 0.018	50; 63; 100	0
33	Solvents at work	Inhalation, iho		Perceived problem very large or large	Population at working age		0.185	1	0
34	Irritating chamicals at work	Iho		Perceived problem very large or large	Population at working age		0.185	1	0
35	Gases at work	Inhalation		Perceived problem very large or large	Population at working age		0.135	1	0
36	Dust at work	Inhalation		Perceived problem very large or large	Population at working age		0.321	1	0
37	Fluoride	Ingestion	mg /L	-	People living in Southern Finland using water with fluoride	<14	1	1	0	Background exposure marked as zero, because data missing, exposure >1
38	Road traffic noise	Hearing	dB	LAeq24h, exposure 40-45 dB	Whole population		0.042	40; 45	0	Background exposure marked as zero, because data missing
39	Road traffic noise	Hearing	dB	LAeq24h, exposure 45-50 dB	Whole population		0.042	45; 50	0	Background exposure marked as zero, because data missing
40	Road traffic noise	Hearing	dB	LAeq24h, exposure 50-55 dB	Whole population		0.042	50; 55	0	Background exposure marked as zero, because data missing
41	Road traffic noise	Hearing	dB	LAeq24h, exposure 55-60 dB	Whole population		0.042	55; 60	0	Background exposure marked as zero, because data missing
42	Road traffic noise	Hearing	dB	LAeq24h, exposure 60-65 dB	Whole population		0.017	60; 65	0	Background exposure marked as zero, because data missing
43	Road traffic noise	Hearing	dB	LAeq24h, exposure >65 dB	Whole population		0.008	65	0	Background exposure marked as zero, because data missing, >65dB
44	Street traffic noise	Hearing	dB	LAeq07-22, exposure 40-45 dB	Whole population		0.056	40; 45	0	Background exposure marked as zero, because data missing
45	Street traffic noise	Hearing	dB	LAeq07-22, exposure 45-50 dB	Whole population		0.056	45; 50	0	Background exposure marked as zero, because data missing
46	Street traffic noise	Hearing	dB	LAeq07-22, exposure 50-55 dB	Whole population		0.056	50; 55	0	Background exposure marked as zero, because data missing
47	Street traffic noise	Hearing	dB	LAeq07-22, exposure 55-60 dB	Whole population		0.056	55; 60	0	Background exposure marked as zero, because data missing
48	Street traffic noise	Hearing	dB	LAeq07-22, exposure 60-65 dB	Whole population		0.007	60; 65	0	Background exposure marked as zero, because data missing
49	Street traffic noise	Hearing	dB	LAeq07-22, exposure >65 dB	Whole population		0.001	65	0	Background exposure marked as zero, because data missing >65dB
50	Railroad noise	Hearing	dB	LAeq07-22, exposure 40-45 dB	Whole population		0.0007	40; 45	0	Background exposure marked as zero, because data missing
51	Railroad noise	Hearing	dB	LAeq07-22, exposure 45-50 dB	Whole population		0.0007	45; 50	0	Background exposure marked as zero, because data missing
52	Railroad noise	Hearing	dB	LAeq07-22, exposure 50-55 dB	Whole population		0.0007	50; 55	0	Background exposure marked as zero, because data missing
53	Railroad noise	Hearing	dB	LAeq07-22, exposure 55-60 dB	Whole population		0.0071	55; 60	0	Background exposure marked as zero, because data missing
54	Railroad noise	Hearing	dB	LAeq07-22, exposure 60-65 dB	Whole population		0.0018	60; 65	0	Background exposure marked as zero, because data missing
55	Railroad noise	Hearing	dB	LAeq07-22, exposure >65 dB	Whole population		0.0003	65	0	Background exposure marked as zero, because data missing >65dB
56	Civil air traffic noise	Hearing	dB	Lden, exposure 45-50 dB	Whole population		0.0004	45; 50	0	Background exposure marked as zero, because data missing
57	Civil air traffic noise	Hearing	dB	Lden, exposure 50-55 dB	Whole population		0.0004	50; 55	0	Background exposure marked as zero, because data missing
58	Civil air traffic noise	Hearing	dB	Lden, exposure 55-60 dB	Whole population		0.0004	55; 60	0	Background exposure marked as zero, because data missing
59	Civil air traffic noise	Hearing	dB	Lden, exposure 60-65 dB	Whole population		0.0004	60; 65	0	Background exposure marked as zero, because data missing
60	Civil air traffic noise	Hearing	dB	Lden, exposure >65 dB	Whole population		0	65	0	Background exposure marked as zero, because data missing, >65dB
61	Airforce noise	Hearing	dB	Lden, exposure 45-50 dB	Whole population		0.0004	45; 50	0	Background exposure marked as zero, because data missing
62	Airforce noise	Hearing	dB	Lden, exposure 50-55 dB	Whole population		0.0004	50; 55	0	Background exposure marked as zero, because data missing
63	Airforce noise	Hearing	dB	Lden, exposure 55-60 dB	Whole population		0.0004	55; 60	0	Background exposure marked as zero, because data missing
64	Airforce noise	Hearing	dB	Lden, exposure 60-65 dB	Whole population		0.0003	60; 65	0	Background exposure marked as zero, because data missing
65	Airforce noise	Hearing	dB	Lden, exposure >65 dB	Whole population		0	65	0	Background exposure marked as zero, because data missing, >65dB
66	Other outdoor noise	Hearing	dB	LAeq07-22, exposure 40-45 dB	Whole population		0.0018	40; 45	0	Background exposure marked as zero, because data missing
67	Other outdoor noise	Hearing	dB	LAeq07-22, exposure 45-50 dB	Whole population		0.0018	45; 50	0	Background exposure marked as zero, because data missing
68	Other outdoor noise	Hearing	dB	LAeq07-22, exposure 50-55 dB	Whole population		0.0018	50; 55	0	Background exposure marked as zero, because data missing
69	Other outdoor noise	Hearing	dB	LAeq07-22, exposure 55-60 dB	Whole population		0.0018	55; 60	0	Background exposure marked as zero, because data missing
70	Other outdoor noise	Hearing	dB	LAeq07-22, exposure 60-65 dB	Whole population		0.0003	60; 65	0	Background exposure marked as zero, because data missing
71	Other outdoor noise	Hearing	dB	LAeq07-22, exposure >65 dB	Whole population		0.0001	65	0	Background exposure marked as zero, because data missing, >65dB

Keywords

References

Related files

@@ Line 1: / Line 1: @@
 [[Category:Exposure]]
+[[Category:Code under inspection]]
 {{variable|moderator=|stub=Yes}}
@@ Line 8: / Line 9: @@
 == Answer ==
-<rcode graphics="1">
+<rcode graphics=1 embed=1>
 library(OpasnetUtils) # A package with Opasnet functionalities
@@ Line 14: / Line 15: @@
 library(ggplot2)      # A package with fancy graph formats
-# objects.get("q5z9YayubD5KjRPt")
+objects.latest("Op_en5918", "initiate") # Get the latest ovariables from code calculations on page Op_en5918.
-objects.latest("Op_en5918", "calculations") # Get the latest ovariables from code calculations on page Op_en5918.
+oprint(summary(EvalOutput(Exposure)))
+oprint(summary(EvalOutput(Background.Exposure)))
-Exposure 		<- EvalOutput(Exposure)
+oprint(summary(EvalOutput(Exposed.Fraction)))
-Exposed.Fraction 	<- EvalOutput(Exposed.Fraction)
-Background.Exposure 	<- EvalOutput(Background.Exposure)
-print(xtable(Exposure@output[Exposure@output$Iter == 1, ]), type = 'html') # Show a result table
-print(xtable(Background.Exposure@output[Background.Exposure@output$Iter == 1, ]), type = 'html')
-print(xtable(Exposed.Fraction@output), type = 'html')
-ggplot(exposureFinland@output, # Show a bar chart
-	aes(x = Exposure, y = exposureFinlandResult)) +
-	geom_bar(position="dodge") +
-	theme_grey(base_size = 24) +
-	theme(axis.text.x = element_text(angle = 90, hjust = 1))
 </rcode>
@@ Line 40: / Line 29: @@
 ===Calculations===
-[http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=SXD46CcsFO9WaKs5 Default run}
+<rcode name="initiate" label="Initiate variables">
-<rcode name="calculations" label="Initiate variables">
 library(OpasnetUtils)
 library(xtable)
-data <- tidy(opbase.data("Op_en5918"))
+exposure.fiRaw <- Ovariable("exposure.fiRaw", ddata = "Op_en5918", getddata = FALSE)
-data <- data[ , !colnames(data) %in% c("Obs", "Exposure.metric", "Age", "Description")] # Remove redundant columns.
-colnames(data)[colnames(data) == "Exposed.fraction"] <- "Exposed.fractionResult"
-colnames(data)[colnames(data) == "Exposure"] <- "ExposureResult"
-colnames(data)[colnames(data) == "Background.exposure"] <- "Background.ExposureResult"
 Exposure <- Ovariable(
-	"Exposure",
+	name = "Exposure",
-	data = data[ , !colnames(data) %in% c(
+	dependencies = data.frame(Name = "exposure.fiRaw", Ident = "Op_en5918/initiate"),
-		"Exposed.fractionResult",
+	formula = function(...) {
-		"Background.ExposureResult"
+		out <- exposure.fiRaw@output
-	)],
+		out <- out[out$Observation == "Exposure" , colnames(out) != "Observation"]
-	getddata = FALSE,
+		colnames(out)[colnames(out) == "exposure.fiRawResult"] <- "Result"
+		return(out)
+	}
 )
 Exposed.Fraction <- Ovariable(
-	"Exposed.Fraction",
+	name = "Exposed.Fraction",
-	data = data[ , !colnames(data) %in% c(
+	dependencies = data.frame(Name = "exposure.fiRaw", Ident = "Op_en5918/initiate"),
-		"ExposureResult",
+	formula = function(...) {
-		"Background.ExposureResult"
+		out <- exposure.fiRaw@output
-	)],
+		out <- out[out$Observation == "Exposed.fraction" , colnames(out) != "Observation"]
-	getddata = FALSE,
+		colnames(out)[colnames(out) == "exposure.fiRawResult"] <- "Result"
+		return(out)
+	}
 )
 Background.Exposure <- Ovariable(
-	"Background.Exposure",
+	name = "Background.Exposure",
-	data = data[ , !colnames(data) %in% c(
+	dependencies = data.frame(Name = "exposure.fiRaw", Ident = "Op_en5918/initiate"),
-		"Exposed.fractionResult",
+	formula = function(...) {
-		"ExposureResult"
+		out <- exposure.fiRaw@output
-	)],
+		out <- out[out$Observation == "Background.exposure" , colnames(out) != "Observation"]
-	getddata = FALSE,
+		colnames(out)[colnames(out) == "exposure.fiRawResult"] <- "Result"
+		return(out)
+	}
 )
-objects.store(Exposure, Exposed.Fraction, Background.Exposure)
+objects.store(exposure.fiRaw, Exposure, Exposed.Fraction, Background.Exposure)
-cat("Ovariables Exposure, Exposed.Fraction, and Background.Exposure saved. page_indent = Op_en5918, code_name = calculations\n")
+cat("Ovariables exposure.fiRaw, Exposure, Exposed.Fraction, and Background.Exposure saved. page_indent = Op_en5918, code_name = initiate\n")
-print(xtable(EvalOutput(Exposure, N = 1)@output), type = 'html')
-print(xtable(EvalOutput(Exposed.Fraction, N = 1)@output), type = 'html')
-print(xtable(EvalOutput(Background.Exposure, N = 1)@output), type = 'html')
 </rcode>
@@ Line 95: / Line 80: @@
 The data from [[:op_fi:Seturi/altistus]]
-<t2b index="Pollutant,Exposure.route,Unit,Exposure.metric,Population,Age,Observation"
+<t2b index="Exposure.agent,Exposure.route,Unit,Exposure.metric,Population,Age,Observation"
-Locations="Exposed.fraction,Exposure,Background.exposure,Description" unit="-">
+Locations="Exposed.fraction,Exposure,Background.exposure" desc="Description" unit="-">
-Indoor radon|Inhalation|Bq /m3||Whole population||1|100 (95 - 105)| 5 (4 - 9)|
+Indoor radon|Inhalation|Bq /m3|-|Whole population||1|100 (95 - 105)| 5 (4 - 9)|
-PM2.5|Inhalation|µg /m3||Whole population||1|7 (6 - 8)|3|
+PM2.5|Inhalation|µg /m3|-|Whole population||1|7 (6 - 8)|3|
-Chlorination byproducts|Ingestion|µg /L||Users of chlorinated surface water||0.44|611 (488.8 - 733.2)|0|
+Chlorination byproducts|Ingestion|µg /L|-|People using chlorinated surface water||0.44|611 (488.8 - 733.2)|0|
 Outdoor noise|Hearing|dB|Lden(dB)|Whole population||0.144|59|0|Background exposure marked as zero, because data missing, <59 dB
-Arsenic|Ingestion|µg /L||Users of drilled wells||1|0.998|0.14|
+Arsenic|Ingestion|µg /L|-|People using water from bore wells||0.19; 0.01; 0.04 |0.998|0.14|
-Arsenic|Ingestion|µg /L|Moderately exposed|Pirkamaan kaivoveden käyttäjät||0.267|2.5|0.14|
+Arsenic|Ingestion|µg /L|Moderately exposed|People using wellwater in Pirkanmaa||0.267|2.5|0.14|
-Arsenic|Ingestion|µg /L|Little exposed|Pirkamaan kaivoveden käyttäjät||0.667|0.14|0.14|
+Arsenic|Ingestion|µg /L|Little exposed|People using wellwater in Pirkanmaa||0.667|0.14|0.14|
-Arsenic|Ingestion|µg /L|Much exposed|Pirkamaan kaivoveden käyttäjät||0.066|34.79|0.14|
+Arsenic|Ingestion|µg /L|Much exposed|People using wellwater in Pirkanmaa||0.066|34.79|0.14|
-Environmental tobacco smoke|Inhalation|Yes/no||Whole population||0.12; 0.178; 0.265|1|0|
+Environmental tobacco smoke|Inhalation|Yes/no|-|Whole population||0.12; 0.178; 0.265|1|0|
-Environmental tobacco smoke|Inhalation|Yes/no||Whole population|>21|0.12; 0.178; 0.265|1|0|
+Environmental tobacco smoke|Inhalation|Yes/no|-|Whole population|>21|0.12; 0.178; 0.265|1|0|
-Environmental tobacco smoke|Inhalation|Yes/no||Whole population|<14|0.01; 0.03; 0.07|1|0|
+Environmental tobacco smoke|Inhalation|Yes/no|-|Whole population|<14|0.01; 0.03; 0.07|1|0|
-Environmental tobacco smoke|Inhalation|Yes/no||Whole population|<2|0.01; 0.03; 0.07|1|0|
+Environmental tobacco smoke|Inhalation|Yes/no|-|Whole population|<2|0.01; 0.03; 0.07|1|0|
-Environmental tobacco smoke|Inhalation|Yes/no||Whole population|<3|0.01; 0.03; 0.07|1|0|
+Environmental tobacco smoke|Inhalation|Yes/no|-|Whole population|<3|0.01; 0.03; 0.07|1|0|
-Formaldehyde|Inhalation|µg /m3||Whole population|<14|0.05; 0.12; 0.2|56.7|40|
+Formaldehyde|Inhalation|µg /m3|-|Whole population|<14|0.05; 0.12; 0.2|56.7|40|
-Formaldehyde|Inhalation|µg /m3||Whole population||1|20; 27; 50|1|
+Formaldehyde|Inhalation|µg /m3|-|Whole population||1|20; 27; 50|1|
-Formaldehyde|Inhalation|µg /m3||Working population||0.03|15; 150; 500|1|
+Formaldehyde|Inhalation|µg /m3|-|Population at working age||0.03|15; 150; 500|1|
-Outdoor ozone|Inhalation|µg /m3||Whole population||1|2580|70|Toinen arvio altistuneista 0.626
+Outdoor ozone|Inhalation|µg /m3|-|Whole population||1|7.07|0|Toinen arvio altistuneista 0.626; Exposure as SOMO35/365 (2580/365), background 70 taken already into account
-Dampness|Inhalation|||Whole population||0.05; 0.15; 0.33|1|0|
+Dampness damage|Inhalation||-|Whole population||0.05; 0.15; 0.33|1|0|
-Work noise|Hearing|dB|LAeq8h(dB)|Workers||0.327|0|80|Exposure marked zero, because data is missing
+Work noise|Hearing|dB|LAeq8h(dB)|Population at working age||0.327|0|80|Exposure marked zero, because data is missing
-Work noise|Hearing|dB|Moderate noise exposed|Workers||0.057|80; 85| 0|Background exposure marked as zero, because data missing
+Work noise|Hearing|dB|Moderate noise exposed|Population at working age||0.057|80; 85| 0|Background exposure marked as zero, because data missing
-Work noise|Hearing|dB|Loud noise exposed|Workers||0.053|85; 100| 0|Background exposure marked as zero, because data missing. Exposure is >85.
+Work noise|Hearing|dB|Loud noise exposed|Population at working age||0.053|85; 100| 0|Background exposure marked as zero, because data missing. Exposure is >85.
-Wood dust at work|Inhalation|mg /m3||Working population||0.0185|0|0|Exposure marked zero, because data is missing
+Wood dust at work|Inhalation|mg /m3|-|Population at working age||0.0185|0|0|Exposure marked zero, because data is missing
-Hitsaushuurut työssä|Inhalation|||Working population||0.01| 0|0|Exposure marked zero, because data is missing
+Hitsaushuurut työssä|Inhalation||-|Population at working age||0.01| 0|0|Exposure marked zero, because data is missing
-Diesel smoke at work|Inhalation|||Working population||0.01|0|0|Exposure and background exposure marked zero, because data is missing
+Diesel smoke at work|Inhalation||-|Population at working age||0.01|0|0|Exposure and background exposure marked zero, because data is missing
-Dusts, fumes, and chemicals at work|Inhalation|||Working population|15-64|0.26|0|0|Exposure and background exposure marked zero, because data is missing
+Dusts, fumes, and chemicals at work|Inhalation||-|Population at working age|15-64|0.26|0|0|Exposure and background exposure marked zero, because data is missing
-Quartz dust|Inhalation|mg /m3||Working population||0.01996|0.02; 0.04; 0.1|0|
+Quatzdust|Inhalation|mg /m3|-|Population at working age||0.01996|0.02; 0.04; 0.1|0|
-Dioxin|Ingestion|||Whole population||0.05; 0.595; 0.76|1.42; 2.65; 3.89|0|
+Dioxin|Ingestion|pg /kg /d|-|Whole population||0.05; 0.595; 0.76|1.42; 2.65; 3.89|0|
-Benzene|Inhalation| ||Whole population||1|1; 3; 5|0|
+Benzene|Inhalation|ug /m3|-|Whole population||1|1; 3; 5|0|
-Benzene|Inhalation|||Working population||0.001|10; 100; 960|3|
+Benzene|Inhalation||-|Population at working age||0.001|10; 100; 960|3|
-Asbestos at work|Inhalation| ||Working population||0.001|0.01; 0.05; 0.1|0|
+Asbest at work|Inhalation||-|Population at working age||0.001|0.01; 0.05; 0.1|0|
-Methylmercury|Ingestion|mg /kg /d||Whole population|0-1|0.95| 0|0|Exposure and background exposure marked zero, because data is missing
+Methylmercury|Ingestion|mg /kg /d|-|Whole population|<1|0.95| 0|0|Exposure and background exposure marked zero, because data is missing
-Lead|Kaikki reitit| ug /L||Whole population||0; 0.009; 0.018|50; 63; 100|0|
+Lead|Kaikki reitit|ug /L|-|Whole population||0; 0.009; 0.018|50; 63; 100|0|
-Solvents at work|Inhalation, iho||Perceived problem very large or large|Working population||0.185|1|0|
+Solvents at work|Inhalation, iho||Perceived problem very large or large|Population at working age||0.185|1|0|
-Irritating chamicals at work|Iho||Perceived problem very large or large|Working population||0.185|1|0|
+Irritating chamicals at work|Iho||Perceived problem very large or large|Population at working age||0.185|1|0|
-Gases at work|Inhalation||Perceived problem very large or large|Working population||0.135|1|0|
+Gases at work|Inhalation||Perceived problem very large or large|Population at working age||0.135|1|0|
-Dust at work|Inhalation||Perceived problem very large or large|Working population||0.321|1|0|
+Dust at work|Inhalation||Perceived problem very large or large|Population at working age||0.321|1|0|
-Fluoride|Ingestion|mg /L||People in Southern Finland who use high-fluoride drinking water|0-14|1|1|0|Background exposure marked as zero, because data missing, exposure >1
+Fluoride|Ingestion|mg /L|-|People living in Southern Finland using water with fluoride|<14|1|1|0|Background exposure marked as zero, because data missing, exposure >1
 Road traffic noise|Hearing|dB|LAeq24h, exposure 40-45 dB|Whole population||0.042|40; 45|0|Background exposure marked as zero, because data missing
 Road traffic noise|Hearing|dB|LAeq24h, exposure 45-50 dB|Whole population||0.042|45; 50|0|Background exposure marked as zero, because data missing
@@ Line 169: / Line 154: @@
 Other outdoor noise|Hearing|dB|LAeq07-22, exposure >65 dB|Whole population||0.0001|65|0|Background exposure marked as zero, because data missing, >65dB
 </t2b>
-=== Formula ===
 ==See also==
+* [[Population of Finland]]
 ==Keywords==

Exposures in Finland: Difference between revisions

Latest revision as of 07:22, 18 June 2015

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