Difference between revisions of "Risk assessment on Hämeenkyrö municipal solid waste incinerator"

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(Existing MSWI plants and current plans in southern Finland)
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|Result      =  
 
|References  =  
 
|References  =  
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===Fine particle variables===
 
 
====PM<sub>2.5</sub> emissions in Hämeenkyrö====
 
Päivi
 
 
{{var
 
|Name        = PM<sub>2.5</sub> emissions in Hämeenkyrö
 
|Focus      = Existing PM<sub>2.5</sub> emissions from all the sources in Hämeenkyrö.
 
|Scope      = Annual emissions. Emissions from the sources in Hämeenkyrö municipality area only.
 
 
 
|Description = PM<sub>2.5</sub>  means particles with diameter less than 2,5 µm. Generally the most important sources of these fine particles are domestic combustion and traffic. This is most likely the situation also in Hämeenkyrö which is a town of 10200 inhabitants. Industries and energy production are also important sources. There are some quite large industries and power plants (e.g. M-Real Kyro cardboard factory, Finnforest Oyj sawmill and Kyro gas power plant) that also cause fine particle emissions.
 
 
''(Comment: Industry is so dominant in Hämeenkyrö that its emissions are likely the largest. However, this depends on the quality of the technique used. You should ask Marko: he has access to FRES model he told about yesterday.)''
 
|Inputs      = Baseline PM<sub>2.5</sub>  exposure in Hämeenkyrö, Well-being of the population (smells, comfort, noise)
 
|Index      =
 
|Definition  =
 
|Unit        = tonnes/year
 
|Result      = The sum of the emissions from all the sources (trying to find some numbers here){{Disclink|Emissions should be given per sector}}
 
|References  = www.hameenkyro.fi
 
}}
 
 
====PM<sub>2.5</sub> emissions from MSWI, biofuel plant, and natural gas plant in Hämeenkyrö====
 
Tommi
 
 
{{var
 
|Name        =
 
|Focus      = Gives PM<sub>2.5</sub> emissions for the three power plants according to their actual/planned production
 
|Scope      = Annual PM<sub>2.5</sub> emissions for each power plant.
 
|Description = This variable gives the PM<sub>2.5</sub> emissions separately for each of the three power plant options to be considered in the Hämeenkyrö case. The emissions are calculated based on annual activities and exact technical configurations of the power plants. The technical data are entered in the FIRE (Factor Information Retrieval) software of the US EPA to obtain Emission Estimation Factors. The annual amounts of activity (in e.g. MWh/a or MSW burned/a) are then multiplied by the EF to get annual emissions from each plant. Note: This formulation leaves room for experimenting with adjustments in the power plants (e.g. if the amount of waste burned increases). Alternatively we can just use predetermined values and calculate one single annual emission figure for each plant.
 
 
''(Comment: There might be ready-made plant-specific data in FRES-model. You could talk with Päivi (PM emissions from Hämeenkyrö) and Marko. In addition, the YVA of the MSWI plan, and the other plants, should be available. We should find some numbers that we can use to calculate the exposure.)''
 
|Inputs      = Planned or projected activities for each power plant and exact technical configurations of the plants. No such variables are considered in this excercise but the connections are included in the master model. If these values are fixed, these factors can be included in the calculation of this present variable.
 
|Index      =
 
|Definition  =
 
|Unit        = t a<sup>-1</sup>
 
|Result      =
 
|References  = http://www.epa.gov/ttn/chief/eiip/pm25inventory/concepts.html Here you can find and install the FIRE software among other things.
 
}}
 
 
====Baseline PM<sub>2.5</sub> exposure in Hämeenkyrö====
 
Anne K
 
 
{{var
 
|Name        =
 
|Focus      = Existing PM2.5 exposure in Hämeenkyrö.
 
|Scope      = annual ?
 
|Description = Particular matters are a mixture of solid particles and liquid droplets in the air. PM2.5 is a particulate matter that is 2.5micrometers or smaller in size. PM2.5 exposure route is inhalation and the level of exposure dependents on level of PM2.5 consentartion  in the air and the lenght of spend time indoors and outdoors.Personal exposure of individuals can be calculated using air pollution levels from environment, which are weighted with the time-activity pattern.
 
|Inputs      =
 
This variable is linked to PM2.5 emissions in Hämeenkyrö, PM2.5 emissions from MSWI, biofuel plant, and natural gas plant in Hämeenkyrö, population size of Hämeenkyrö, Intake fraction for PM2.5 emissions in Hämeenkyrö, Pm2.5 exposure due to MSWI in Hämeenkyrö, PM2.5 exposure-response function on population level and Health effects of dioxins and PM2.5. 
 
|Index      =
 
|Definition  =
 
|Unit        = ug/m3
 
|Result      = Exposure to ambient-generated particles (Eag)  e.g. PM2.5
 
 
Eag = Ca x (Fo + Fi x Finf) 
 
 
Eag is dominated by home ventilation and are estimated from ambient concentrations (Ca) multiplied by the fraction of time spent outdoors (Fo) and the fraction of time spent indoors (Fi) modified by the particle infiltration efficiency (Finf ).(WHO, 2006.)
 
Mean personal daytime exposure in Helsinki were 19 ug/m3 (Koistinen 2002). In Europe average fairly uniform rural background concentrations were 11-13ug/m3,15-20 ug/m3 in urban background and 20-30 ug/m3 at traffic sites (WHO, 2006.). 
 
 
|References  = http://www.ktl.fi/attachments/suomi/julkaisut/julkaisusarja_a/2002a3.pdf
 
Koistinen Kimmo: Exposure of an Urban Adult Population to PM2.5. 2002.
 
 
http://www.who.dk/document/E88189.pdf
 
WHO: Health risks of particulate matter from long-range transboundary air pollution. 2006.
 
 
http://www.ehponline.org/members/2004/6980/6980.html
 
 
}}
 
 
====Intake fraction for PM<sub>2.5</sub> emissions from Hämeenkyrö====
 
 
{{var
 
|Name        = Intake fraction for PM<sub>2.5</sub> emissions from Hämeenkyrö
 
|Focus      = Intake fraction for PM<sub>2.5</sub> emissions from Hämeenkyrö
 
|Scope      = Emission from a high stack in Hämeenkyrö, exposed population anywhere in Europe. Exposure within one month from the emission.
 
|Description = Intake fraction (iF) means the fraction of an emission that is finally inhaled or ingested by a target population. There are several studies about estimates of iF for primary fine particles. These are often in the order of one in a million; values are higher for traffic than for other sources. Tainio and coworkers have estimated iFs for Finnish emissions derived from different source categories, including energy production plants.
 
 
Fine particles travel in the atmosphere for several days or weeks, and several hundred or thousand kilometres from the source. Therefore, most of the exposure occurs far from the source, unless the exposure very near (less than 100 m) is very intensive. In the case of a MSWI with a high stack, the exposure very near the source is negligible. This is especially true for secondary particles that only form in the atmosphere during several hours or days.
 
|Inputs      =
 
|Index      = Particle type
 
|Definition  =
 
|Unit        = -
 
|Result      = Different particle types:
 
*0.6*10<sup>-6</sup> (primary particles)
 
*less clear but probably lower, maybe in the order of 0.1--0.5*10<sup>-6</sup> (secondary particles)
 
|References  = Tainio et al., Kopra project. Fine-loppuseminaari 3/2006.
 
}}
 
 
 
 
====PM<sub>2.5</sub> exposure due to MSWI in Hämeenkyrö ====
 
Terhi Y
 
 
{{var
 
|Name        =
 
|Focus      = Describes the variables affecting the personal exposure to MSWI-produced PM<sub>2.5</sub> (and links the exposure to dose)
 
|Scope      = Exact numerical values would require knowledge of the meteorological, geographical etc. data of Hämeenkyrö area and extensive modeling so not included here; certain concentration assumed and dose calculated from it
 
|Description = Data needed to evaluate the personal exposure
 
# Data needed to model the PM<sub>2.5</sub> concentration distribution around the MSWI:
 
## The emission produced by MSWI
 
## Stack height and location of MSWI in relation to municipality
 
## Meteorological data: average (e.g. daily) temperatures, wind speeds and directions, solar radiation etc.
 
## Geographical data: vegetation, elevations, town build, lakes etc.
 
## ...
 
# Data needed to convert exposure to dose:
 
## inhalable fraction of PM<sub>2.5</sub>
 
## concentration of PM<sub>2.5</sub> around the person in the locations the person moves in
 
## times spend in different locations
 
## breathing rate of the person
 
## weight of the person
 
## ...
 
Also required: the background concentration. Some values available for comparison: Urban US highest PM<sub>2.5</sub> concs 20-30 mikrog/m<sup>3</sup>, concentration in Helsinki over several years 8-11 mikrog/m<sup>3</sup>, non-urban US concs 1-6 mikrog/m<sup>3</sup> (Koistinen 2002). Thus, small Finnish town: maybe 7 mikrog/m<sup>3</sup>?
 
|Inputs      =
 
|Index      =
 
|Definition  = D = ((IR)(P)(RF)(ET)(EF)(ED))/(BW)(AT) where
 
D = dose (mg/kg.day)
 
 
IR = inhalation rate (m<sup>3</sup>/h)
 
 
P = particle concentration in air (mg/m<sup>3</sup>)
 
 
RF = respirable fraction of particles (dimensioless)
 
 
ET = exposure time (hours/day)
 
 
EF = exposure frequency (days/year)
 
 
ED = exposure duration (years)
 
 
BW = body weight (kg)
 
 
AT = averaging time (days)(Schwela ym. 2002)
 
 
for dose over a lifetime the formula can be simplified to D = (IR)(P)(RF)/BW
 
 
Assumptions:
 
 
IR = 13 m<sup>3</sup>/d
 
 
P = the background concentration, as the emission caused by the MSWI is distributed wide and thus diluted to negligible, thus 7 mikrog/m<sup>3</sup>/d = 0,007 mg/m<sup>3</sup>/d
 
 
RF = 0,6
 
 
BW = 70 kg
 
 
 
 
|Unit        = mg d <sup>-1</sup> kg<sup>-1</sup>
 
 
|Result      = 0,0008 mg d <sup>-1</sup> kg<sup>-1</sup>
 
 
|References  =List of references does not include articles referred to within the reference...
 
# Koistinen, Kimmo (2002). Exposure of an urban adult population to PM<sub>2.5</sub>. Methods, determination and sources. Publications of the National Public Health Institute A3/2002.
 
# Schwela D, Morawska L, Kotzias D (Eds.) 2002. Guidelines for concentration and exposure-response measurement of fine and ultra fine particulate matter for use in epidemiological studies. WHO and JRC Expert Task Force meeting, Ispra, Italy, November 2002.
 
}}
 
 
====PM<sub>2.5</sub> exposure-response function on population level ====
 
Sari
 
 
{{var
 
|Name        =
 
|Focus      = Describes the relationship between ambient concentrations of PM<sub>2.5</sub> and the frequency of specific health effects in a given timeperiod.
 
|Scope      = General population average considered
 
|Description = Concentration-response function is needed when we determine the health impact of PM2.5  concentrations in Hämeenkyrö on local people. Health impact of PM concentration in Hämeenkyrö = concentration *concentration response.
 
Concentration-response function needs data from exposure modelling, animal toxicology, small clinical or panel studies, and epidemiological studies.
 
 
Exposed population can be subdivided to subpopulations (adults, children, infants, elder people).
 
Exposure is assessed in a certain timeperiod (daily, annual exposure). 
 
 
|Inputs      =
 
|Index      =
 
|Definition  =
 
|Unit        = increase in adverse health effect/ 1 ug/m3 change in PM <sub>2.5</sub> concentration
 
|Result      =
 
|References  =
 
}}
 
 
===Dioxin variables===
 
 
====Dioxin emissions in Hämeenkyrö ====
 
Virpi
 
 
{{var
 
|Name        =
 
|Focus      = Dioxin emissions in Hämeenkyrö
 
|Scope      = Annual dioxin emissions in the area of Hämeenkyrö municipality from the relevant sectors (involving both current sources, as well as the possible future sources considering the different decisions on the MSWI).
 
|Description = The name dioxin is used for the family of structurally and chemically related polychlorinated dibenzo-p-dioxins (PCDD), polychlorinated dibenzofurans (PCDF), and certain polychlorinated biphenyls (PCBs). Some 419 types of dioxin-related compounds have been identified, and about 30 of these are considered to have significant toxicity.
 
 
Dioxins are produced unintentionally as by-products of many chemical industrial processes and of all combustion processes. Sources include metal industry, power plants, industrial combustion plants, small combustion units (mostly domestic), waste incineration, road transport and mineral products production.
 
 
Total dioxin emissions are usually reported in toxic equivalency values (TEQ), which enables comparison of the toxicity of different combinations of dioxins and dioxin-like compounds. A TEQ is calculated by multiplying the actual grams weight of each dioxin and dioxin-like compound by its corresponding toxic equivalency factor (TEF) and then summing the results. The number that results from this calculation is referred to as grams TEQ.
 
 
''(Comment: The emissions sources of dioxin are known pretty well. Although it is unlikely that these factories have direct dioxin measurements, emission estimates for the sources of this size should be available. You should ask Juhani Ruuskanen (KuY) or Päivi Ruokojärvi (KTL)).''
 
 
Possible dioxin sources in Hämeenkyrö:
 
 
Currently: the local gas power plant, traffic, domestic combustion (cardboard factory, sawmill) {{Disclink|Landfills should be included in the list of dioxin sources}}
 
 
Future: Municipal solid waste incinerator, biofuel power plant
 
 
 
Some national sector emissions in Finland in 2002 (g I-TEQ)
 
 
(just to give some indication on the emission levels...)
 
 
 
Public electricity and heat production 3.448
 
 
Manufacturing of pulp, paper and print 1.297
 
 
Waste incineration 2.544
 
 
Road transport:
 
 
Passanger cars 0.158
 
 
Heavy duty vehicles 0.640
 
 
 
More accurate information to be added later..
 
 
http://www.epa.gov/ncea/pdfs/dioxin/2k-update/
 
 
 
|Inputs      = Kyro gas power plant, MSWI in Hämeenkyrö, biofuel power plant in Hämeenkyrö, landfills, fires on landfill areas, waste transport
 
|Index      =
 
|Definition  =
 
|Unit        = g I-TEQ/a
 
|Result      =
 
|References  =  UNEP (1999). United Nations Environment Programme. Dioxin and furan inventories, National and regional emissions of PCDD/PCDF, May 1999.
 
http://www.oztoxics.org/ipepweb/library/DioxinInventory.pdf#search=%22dioxine%20emissions%20from%20traffic%22
 
 
SYKE 2004. Finnish Environment Institute. Air pollutant emissions in Finland 1990-2002. National inventory report. http://www.ymparisto.fi/download.asp?contentid=13512#search=%22dioxine%20emissions%20from%20traffic%22
 
 
 
}}
 
 
====Intake fraction for dioxin emissions from Hämeenkyrö====
 
 
{{var
 
|Name        = Intake fraction for dioxin emissions from Hämeenkyrö
 
|Focus      = Intake fraction for dioxin emissions from Hämeenkyrö
 
|Scope      = Emission from a high stack in Hämeenkyrö, exposed population anywhere in Europe. Long-term exposure, includes accumulation in food chain. 'Dioxin' means TEQs of all 17 toxic congeners, not only TCDD.
 
|Description = Intake fraction (iF) means the fraction of an emission that is finally inhaled or ingested by a target population. The exposure to dioxins occur after a multistep process. First, dioxins are emitted into the atmosphere often due to a combustion process. Dioxins are persistent molecules and can transfer hundreds or thousands of kilometres before depositing to water, vegetation, or soil. It absorbs tightly onto surfaces, and therefore it is rather inert if adsorbed to soil. However, when dioxins deposit to water, they enter the aquatic food chain and end up to fish. When they deposit on grass fields or crop, they typically enter the cattle feed and then milk or meat. Because of this long process including accumulation in food chain, the dioxin exposure of a population is mostly derived from other than local sources.
 
 
Margni and coworkers have estimated an iF for Western European sources. The iF is approximately 3.5.10(-3) for emissions of dioxin in Western Europe. This iF compares well to the traditional non-spatial multi-media/-pathway model predictions of 3.9.10(-3) for the same region and to 2.10(-3) for the USA. Approximately 95% of the intake from Western European emissions occurs within the same region, 5% being transferred out of the region in terms of food contaminants and atmospheric advective transport. (Margni et al., 2004) However, when the emission source is in the North-Eastern corner of Europe like Hämeenkyrö is, the population exposed is likely smaller than on average, especially because the predominant wind direction is from southwest and away from densely populated areas. Therefore, the published value is likely an overestimate.
 
|Inputs      =
 
|Index      =
 
|Definition  =
 
|Unit        = -
 
|Result      = 3.5*10<sup>-3</sup>
 
|References  = Margni M, Pennington DW, Amman C, Jolliet O. Evaluating multimedia/multipathway model intake fraction estimates using POP emission and monitoring data. Environ Pollut. 2004;128(1-2):263-77.<br>
 
Bennett DH, Margni MD, McKone TE, Jolliet O. Intake fraction for multimedia pollutants: a tool for life cycle analysis and comparative risk assessment. Risk Anal. 2002 Oct;22(5):905-18.
 
}}
 
 
====Baseline dioxin exposure in Hämeenkyrö====
 
Marjo
 
 
{{var
 
|Name        = Baseline dioxin exposure in Hämeenkyrö
 
|Focus      = Baseline dioxin exposure in Hämeenkyrö inhabitants
 
|Scope      = The daily intake and the adipose tissue concentration of polychlorinated dibenzo-p-dioxins, dibenzofurans (PCDD/Fs) and biphenyls (PCBs) in Hämeenkyrö population
 
|Description = Polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs, "dioxins") are ubiquitously present, stable and persistent environmental contaminants. They are fat soluble and thus tend to bioaccumulate in tissue lipid and in the food chain. More than 90 % of the average human intake of dioxins originates from food, especially food of animal origin. In Finland the main source is fish, whose contribution is 72-94 % of the total PCDD/F intake via food.
 
 
Here we will use the daily PCDD/F intake estimated for the Finnish population in average as
 
a starting point. In addition, the other variable in this model, "Dioxin emissions in
 
Hämeenkyrö", may affect the estimate of baseline dioxin exposure in Hämeenkyrö.
 
 
For the adipose tissue PCDD/F concentration the value estimated for the general population living in
 
Finnish inland is used.
 
 
It is noteworthy, that some subgroups within society, such as nursing babies and people consuming lot of fish may be more highly exposed to dioxins than the average people.
 
 
PCBs, another group of persistent environmental contaminants, were included as they behave
 
similarly in the food chain and have partly similar health effects as dioxins.{{Disclink|PCBs should be excluded}}
 
|Inputs      = Dioxin emissions in Hämeenkyrö
 
|Index      =
 
|Definition  =
 
|Unit        = 1) Daily intake: WHO-TEQ pg/kg body weight
 
2) Adipose tissue concentration: WHO-TEQ pg/g fat
 
|Result      = Average daily intake of PCDD/Fs 0.79 pg/kg bw
 
 
Average daily intake of PCBs 0.74 pg/kg bw
 
 
Average adipose tissue PCDD/F concentration 26.4 pg/g
 
 
Average adipose tissue PCB concentration 18.1 pg/g
 
 
Note: During the nursing period, the PCDD/F intake of a child can be 1-2 orders of magnitude
 
higher than that of an adult.
 
 
|References  = Holtta P, Kiviranta H, Leppaniemi A, Vartiainen T, Lukinmaa PL, Alaluusua S. Developmental dental defects in children who reside by a river polluted by dioxins and furans. Arch Environ Health. 2001 Nov-Dec;56(6):522-8.
 
 
Kiviranta H, Ovaskainen ML, Vartiainen T. Market basket study on dietary intake of PCDD/Fs,
 
PCBs, and PBDEs in Finland. Environ Int. 2004 Sep;30(7):923-32.
 
 
Kiviranta H, Tuomisto JT, Tuomisto J, Tukiainen E, Vartiainen T. Polychlorinated
 
dibenzo-p-dioxins, dibenzofurans, and biphenyls in the general population in Finland.
 
Chemosphere. 2005 Aug;60(7):854-69.
 
 
Tuomisto et al. 1999. Synopsis on dioxins and PCBs. Publications of the National Public
 
Health Institute B17/1999.
 
 
}}
 
 
====Dioxin exposure due to MSWI in Hämeenkyrö ====
 
Martin
 
 
{{var
 
|Name        =
 
|Focus      =
 
|Scope      =
 
|Description =
 
|Inputs      =
 
|Index      =
 
|Definition  =
 
|Unit        =
 
|Result      =
 
|References  =
 
}}
 
 
====Health effects caused by dioxin exposure====
 
Sanna
 
 
 
{{var
 
|Name        = Responses of dioxin exposure on human health at the population level
 
|Focus      = Determine health effects caused by dioxin exposure {{Disclink|Ambiguity with Health effects of dioxins and PM2.5}}
 
|Scope      = General population average considered. Accidental local releases excluded
 
 
''(Comment: This would rather go to the variable Dioxin emissions in Hämeenkyrö).''
 
|Description = Dioxins are persistent environmental contaminants which accumulate and their elimination half life in the body is rather high (~7 years). In the exposure low doses and high doses cause totally indifferent effects. Most probable exposures for humans from MSWI are low dioxin exposures for a long period of time, which may affect the population "background exposure levels" by increasing them. The most susceptible subgroups among human population are children and young females (women at the childbearing age and before) in addition to the subgroups in the occupational hazard or those who may get high exposures via the food (fishermen).
 
 
* In this specific case it is relevant to think about health effects of long-term exposure on human population (see var. 'Health effects of dioxins and PM2.5'). Also the risk of accidental exposure is low; only if the burning process is working improperly the amount of dioxins emissions will increase.
 
* Dioxins are classified as known human carcinogen by IARC; data exist which supports the hypothesis of hormesis type of dose-responses (Tuomisto et al., 2004) in cancer.
 
* Effects on development and endocrine functions are of more of concern than cancer. According to animal data, tolerable daily intake (TDI) is set in a range of 1-4 pg TEQs/kg bodyweight/day.
 
|Inputs      = *Dioxin emissions and in Hämeenkyrö ''(Comment: This is not actually an input, but [[#Dioxin exposure due to MSWI in Hämeenkyrö]]
 
*[[#Background incidence rates for selected diseases and causes of death in Hämeenkyrö]] population; susceptible groups, demographic data ''(Comment: This background variable is actually missing: Anne knows about the population size, but does someone know about the background disease rates?)''
 
*[[#Population size in Hämeenkyrö]]
 
*[[#Baseline dioxin exposure in Hämeenkyrö]]
 
|Index      =
 
|Definition  =
 
|Unit        = increased risk for developmental defects/ pg/kg body weight/ year,
 
increased lifetime risk per pg/kg body weight
 
OR  risk / adipose tissue concentration
 
 
''(Comment: units are good for exposure-response function (as this variable used to be) but not for health effect (as it currently seems to be)''
 
|Result      =
 
|References  = Tuomisto JT et al. Int J Cancer. 2004 Mar 1;108(6):893-900.
 
 
Tuomisto et al. 1999. Synopsis on dioxins and PCBs. Publications of the National Public Health Institute B17/1999.
 
 
van Leeuwen FX et.al. Chemosphere. 2000 May-Jun;40(9-11):1095-101.
 
}}
 
 
===Indicator variables===
 
 
*Decisions related to Hämeenkyrö case
 
*Possible indicators (optimising variables) in Hämeenkyrö
 
 
====Well-being of the population (smells, comfort, noise) ====
 
Kari  Auri
 
 
{{var
 
|Name        = Karis proposal
 
|Focus      =
 
|Scope      =
 
|Description =
 
 
Focus: proposal to how to define the focus of this variable
 
 
Direct or indirect information about the factors affecting peoples living comfortability related to waste management alternatives (disposal site or MSWI). Direct variables are modelled or measured (ie. noise map) and indicators are based on feedback from local people or from other indirect source.
 
If the decision model will be used to analyse alternative scenarios, we have to include both modelled variables and feedback variables here or alternatively define these own variable for the Pyrkilö -model.
 
 
Scope: proposal to how to define the scope
 
 
Areas related to alternative waste management systems in Pirkanmaa. Thus, focus will be on existing dumping place (Tarastejärvi) and planned MSWI plant in Hämeenkyrö. Modelled variables will be estimated using different time scales (day, month, year). Well-being indicators will be monitored continuosly and summarizing reports can be done monthly and annually. People can also be asked what kind of changes in comfortability factors they believe to happen in future when a certain waste management alternative is implemented. 
 
 
MSWI and dumping site alternatives have diffent total noise and smell effects for people living near the emission source. Both should be analysed before final solution.
 
 
Discription: some ideas of different factors (both a: direct variables and b: indicators)
 
 
1 Noise
 
 
a) modelled noise maps / control noise measurements in neighborhoods of site based on:
 
 
- estimated amount of traffic near waste treatment site
 
 
- noise emissions from operating incinerator
 
 
- extra noise from birds (near landfill site)
 
 
Inputs: waste collection data, emission data from plant, bird invetory and voice emission data
 
 
Unit:  dB
 
 
b) noise distubance asked from local people
 
 
- how often people suffer from noise?
 
 
- continuous or episodic noise?
 
 
Inputs: Indicator data from systematic post questionaries and continuous feedback forms from web-site.
 
 
Unit:  Index value or classfied indicator (1-5 levels)
 
 
2 Smell/odor
 
 
a) maps based on odor dispersion models
 
 
Inputs: data from waste management processes in landfill site
 
 
b) smell information asked from local people
 
 
Inputs: questionaries & online feedback forms on the web
 
 
Unit:  Index value or classfied indicator (1-5 levels)
 
 
3 Social factors
 
 
b) socioeconomic indicators based on statistics at small area (250x250 m) resolution
 
 
- socioeconomic variables (income, unemployment, education) are used to calculate social index
 
 
- indicator may be useful information before the decisions, but also for monitoring and forecasting changes in future when plant/landfill site is operating
 
 
Inputs: statistics
 
 
Unit: index (deprivation index)
 
 
4 Scenic values
 
 
a) visibility maps calculated using GIS
 
 
Iputs: digital elevation model, forest data and other geograpical data
 
 
b) scenic values asked from local people
 
 
Inputs: questionary
 
 
Unit: index
 
 
5 Discomfort index
 
 
b) index based on several questions from local people about comfortability of area
 
 
Inputs: questionary
 
 
Unit: index
 
 
6 Concern index (Health effects)
 
 
b) index based on several questions from local people about concerns their have about the possible health effects 
 
 
Inputs: questionary
 
 
Unit: index
 
 
|Inputs      =
 
|Index      =
 
|Definition  =
 
|Unit        =
 
|Result      =
 
|References  =
 
}}
 
 
{{var
 
|Name        = Auris proposal
 
|Focus      = Factors or issues affecting peoples living comfortability in Hämeenkyrö.
 
|Scope      = The basic factors, like a noise, smell, social factors, etc., that affect the comfortability of inhabitants in Hämeenkyrö. Some of these factors can be measured and some are based on a experience and/or common beliefs and thoughts of inhabitants in Hämeenkyrö, like in other places where the municipal solid waste incinerator have been planned earlier (in Viljakkala).
 
|Description = 1.The noise:
 
:* From the building phase of the municipal solid waste incinerator
 
:* From operation time of the municipal incinerator
 
:* From the traffic<BR>
 
:* Things that should take account:<BR>
 
:* Comparing the noise from the incinerator to the noise coming from the birds, the traffic and activities in a landfill<BR>
 
:* The incinerator has planned to build in the existing industrial place.<BR>
 
:** What is the present level of the noise in that site?<BR>
 
:** What is the distance from the industrial site to the settlement?<BR>
 
:* The noise disturbs the comfortability of the living<BR>
 
2. The smell:<BR>
 
:* Probable less disturbing comparing it to the dump site.<BR>
 
:* Inhabitants, who live near the landfill, think that the smell decreases the living comfortability a lot.<BR>
 
3. The social factors:<BR>
 
:* Increasing a employment grade<BR>
 
:* Decreasing the value of the property (houses, lands, summer cottages)<BR>
 
:* Fear of the birds (the influenza)<BR>
 
4. Landscape:<BR>
 
:* A minor effect<BR>
 
5. Other things that will not occur with the municipal solid waste incinerator:<BR>
 
:* Diseases coming via the rats or birds? (This is a wild assumption)<BR>
 
:* Hazardous components leaching to the ground water and/or surface water will decrease.(The incinerator processes are controlled and monitored)<BR>
 
:* The inhabitants can pick berries and mushrooms with good feelings, without the fear of the hazardous components coming from the wastesite (like from the landfill).<BR>
 
 
 
|Inputs      =
 
|Index      =
 
|Definition  =
 
|Unit        =
 
|Result      =
 
|References  = YVA-reports and public opinion writings from the internet:
 
:http://www.ymparisto.fi/default.asp?contentid=168741&lan=fi
 
:http://www.viljakkalanpuolesta.net/lehdista1.html
 
:http://www.ytv.fi/NR/rdonlyres/FDC064707E3A4FF18458C7CDE7B02C01/0/biotuhka_yva05.pdf#search=%22kaatopaikka%20lintuhaitta%22
 
:http://www.eko-kymppi.fi/majasaari/YVA-selostus.pdf#search=%22kaatopaikka%20lintuhaitta%22
 
:http://www.jyvaskyla.fi/paatos/kh/2004/15031400.0/txt121.htm
 
:http://www.tapanila.fi/historia/kaatopaikka.html
 
 
}}
 
 
====Effects on economy (esp. gas energy plant)  ====
 
Juha
 
 
{{var
 
|Name        = Effects on economy
 
|Focus      = Factors related how plant affects to economy in Pirkanmaa and Kyrönkoski area
 
|Scope      = 10 - 20 years?
 
|Description =
 
How new municipal solid waste incinerator affects to economy? Waste incinerator is going to be a quite significant employer in Hämeenkyrö. It is also noted that price of gas energy is rising so it might be necessary to build the waste incinerator to guarantee low priced energy for M-real cardboard factory and Finnforest sawmill. Shutdown of either of these factory could be devastating to Hämeenkyrö's economy (employs over 300 persons). Shutdown of gas energy plant is not crucial (employs only 24 people).
 
|Inputs      = Data
 
* Persons employed
 
** gas energy plant (24 person)
 
** starting phase of the municipal solid waste incinerator (50 - 60 person-year)
 
** working phase of municipal solid waste incinerator (60 - 70 persons)
 
** M-Real cardboard factory (335 persons)
 
** Finnforest Sawmill (? persons)
 
* Tax incomes
 
** directly to Hämeenkyrö
 
** directly to Pirkanmaa
 
** indirect taxes (Sawmill, cardboard factory and waste incinerator)
 
 
|Index      =
 
|Definition  =
 
|Unit        = € or employed persons
 
|Result      = Worst-case scenario:
 
* No waste incinerator or bioplant, shutdown of both factories and gas plant
 
** Over 300 person '''less''' are employed
 
Best-case scenario:
 
* Waste incinerator is builded, both factories and gas plant remains
 
** over 70 persons '''more''' are employed
 
OK-case scenario:
 
* Waste incinerator is builded, both factories remains, gas plant is shut down
 
** about 50 persons '''more''' are employed
 
|References  =
 
Pirkanvoima - website [http://www.pirkanvoima.fi/fi/projektin_esittely/?id=1106], accessed in 21.9.2006
 
Kyro Power - website [http://www.kyropower.fi/], accessed in 21.9.2006
 
 
Kyro Technologies - website [http://www.kyro.fi/showPage.php?page_id=74], accessed in 21.9.2006
 
 
M-Real - website [http://www.m-real.com], accessed in 21.9.2006
 
 
}}
 
 
====Transportation costs of waste ====
 
Anne
 
 
{{var
 
|Name        =
 
|Focus      =
 
|Scope      =
 
|Description =
 
|Inputs      =
 
|Index      =
 
|Definition  =
 
|Unit        =
 
|Result      =
 
|References  =
 
}}
 
 
==== Dioxin and PM<sub>2.5</sub> exposure-response function on population level====
 
Anu T
 
 
{{var
 
|Name        = Dioxin exposure-response function on population level
 
|Focus      =
 
|Scope      =
 
|Description =
 
'''Dioxins''' are a group of polychlorinated dibenzo-''p''-dioxins (PCDDs) and dibenzofurans (PCDFs).
 
 
2,3,7,8-tetrachlorodibenzo-''p''-dioxin (TCDD) is the most toxic PCDD/Fs congener, and it is classified as a known human
 
 
carcinogen by the International Agency for Research on Cancer (IARC).
 
 
*Health effects related to '''long-term exposure'''
 
**impairment of the immune system
 
**impairment of the developing nervous system
 
**impairment of the endocrine system
 
**impairment of reproductive functions
 
**increased cancer risk
 
Evidence concerning cancer risk is mainly from animal studies, and dioxins are probably quite weak carcinogens in humans.
 
 
Evindence concerning other health effects is inconsistent.
 
 
Sensitive subgroups: foetuses, newborns, individuals with high fish consumption, individuals working in incineration plants
 
 
etc. (For health effects related to '''short-term exposure''' {{Reslink|Discussion on short term effects of dioxins}})
 
 
|Inputs = Dioxin variables:
 
*Dioxin emissions in Hämeenkyrö
 
*Baseline dioxin exposure in Hämeenkyrö
 
*Dioxin exposure due to MSWI in Hämeenkyrö
 
|Index      =
 
|Definition  =
 
|Unit        = Dioxins: increase in lifetime risk per pg/kg body weight
 
|Result      =
 
Dioxins
 
*effective dose resulting in a 0.01 increase in lifetime risk of cancer mortality (ED<sub>01</sub>): 45 pg/kg body weight
 
 
(95% CI 21-324 pg/kg body weight) 
 
*tolerable daily intake (TDI): 1-4 pg/kg body weight
 
 
|References  = Crump et al. 2003. Meta-analysis of dioxin-cancer dose-response for three occupational cohorts. Environmental
 
 
Health Perspectives 111 (5), 681-687.
 
 
Kogevinas 2001. Human health effects of dioxins: cancer, reproductive and endochrine system effects. Human Reproduction
 
 
Update 7 (3), 331-339.
 
 
Tuomisto et al. 1999. Synopsis on dioxins and PCBs. Publications of the National Public Health Institute B17/1999.
 
}}
 
 
 
 
{{var
 
|Name        = PM<sub>2.5</sub> exposure-response function on population level
 
|Focus      =
 
|Scope      =
 
|Description = '''PM<sub>2.5</sub>''' are fine particles less than 2.5 μm in diameter.
 
*Health effects related to '''short-term exposure'''
 
**respiratory symptoms
 
**adverse cardiovascular effects
 
**increased medication usage
 
**increased number of hospital admissions
 
**increased mortality
 
*Health effects related to '''long-term exposure''' (more relevance to public health)
 
**increased incidence of respiratory symptoms
 
**reduction in lung function
 
**increased incidence of chronic obstructive pulmonary disease (COPD)
 
**reduction in life expectancy
 
***increased cardiopulmonary mortality
 
***increased lung cancer mortality
 
 
Sensitive subgroups: children, the elderly, individuals with heart and lung disease, individuals who are active outdoors
 
|Inputs      = Fine particle variables:
 
*PM<sub>2.5</sub> emissions in Hämeenkyrö
 
*PM<sub>2.5</sub> emissions from MSWI, biofuel plant, and natural gas plant in Hämeenkyrö
 
*Baseline PM<sub>2.5</sub> exposure in Hämeenkyrö
 
*PM<sub>2.5</sub> exposure due to MSWI in Hämeenkyrö
 
|Index      =
 
|Definition  =
 
|Unit        = PM<sub>2.5</sub>: increase in the risk of death per each 10 µg/m<sup>3</sup> elevation in PM<sub>2.5</sub>
 
|Result      =
 
PM<sub>2.5</sub>
 
*6% increase in the risk of deaths from all causes (95% CI 2-11%)
 
*12% increase in the risk of death from cardiovascular diseases and diabetes (95% CI 8-15%)
 
*14% increase in the risk of death from lung cancer (95% CI 4-23%)
 
per each 10 µg/m<sup>3</sup> elevation in PM<sub>2.5</sub> air pollution
 
 
|References  = Health aspects of air pollution. Results from the WHO project "Systematic review of health aspects of air
 
 
pollution in Europe". World Health Organization, 2004. http://www.euro.who.int/document/E83080.pdf
 
 
Pope et al. 2002. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA 287
 
 
(9), 1132-1141.
 
 
Pope et al. 2004. Cardiovascular mortality and long-term exposure to particulate air pollution. Circulation (109), 71-77.
 
 
Service Contract for Carrying out Cost-Benefit Analysis of Air Quality Related Issues, in particular in the Clean Air for
 
 
Europe (CAFE) Programme. Volume 2: Health Impact Assessment. AEA Technology Environment, 2005.
 
 
http://ec.europa.eu/environment/air/cafe/pdf/cba_methodology_vol2.pdf
 
 
}}
 
 
 
 
====Health effects of dioxins and PM<sub>2.5</sub> ====
 
Anu T
 
 
{{var
 
|Name        = Health effects
 
|Focus      = effects of dioxins and  PM<sub>2.5</sub> on human health
 
|Scope      = potential short-term and long-term health effects among Hämeenkyrö inhabitants caused by dioxins and
 
 
PM<sub>2.5</sub> originating from the Hämeenkyrö municipal solid waste incinerator
 
|Description =
 
|Inputs      = Fine particle variables:
 
*PM<sub>2.5</sub> emissions in Hämeenkyrö
 
*PM<sub>2.5</sub> emissions from MSWI, biofuel plant, and natural gas plant in Hämeenkyrö
 
*Baseline PM<sub>2.5</sub> exposure in Hämeenkyrö
 
*PM<sub>2.5</sub> exposure due to MSWI in Hämeenkyrö
 
*PM<sub>2.5</sub> exposure-response function on population level
 
Dioxin variables:
 
*Dioxin emissions in Hämeenkyrö
 
*Baseline dioxin exposure in Hämeenkyrö
 
*Dioxin exposure due to MSWI in Hämeenkyrö
 
*Dioxin exposure-response function on population level
 
|Index      =
 
|Definition  =
 
|Unit        =
 
|Result      =
 
 
|References  = Crump et al. 2003. Meta-analysis of dioxin-cancer dose-response for three occupational cohorts. Environmental Health Perspectives 111 (5), 681-687.
 
 
Health aspects of air pollution. Results from the WHO project "Systematic review of health aspects of air pollution in Europe". World Health Organization, 2004. http://www.euro.who.int/document/E83080.pdf
 
 
Kogevinas 2001. Human health effects of dioxins: cancer, reproductive and endochrine system effects. Human Reproduction Update 7 (3), 331-339.
 
 
Pope et al. 2002. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA 287 (9), 1132-1141.
 
 
Pope et al. 2004. Cardiovascular mortality and long-term exposure to particulate air pollution. Circulation (109), 71-77.
 
 
Service Contract for Carrying out Cost-Benefit Analysis of Air Quality Related Issues, in particular in the Clean Air for Europe (CAFE) Programme. Volume 2: Health Impact Assessment. AEA Technology Environment, 2005. http://ec.europa.eu/environment/air/cafe/pdf/cba_methodology_vol2.pdf
 
 
Tuomisto et al. 1999. Synopsis on dioxins and PCBs. Publications of the National Public Health Institute B17/1999.
 
}}
 
 
===Miscellaneous variables===
 
 
*Secondary effects on waste separation, recycling etc.)
 
 
 
====Municipal solid waste production in Häme ====
 
Pasi K
 
 
{{var
 
|Name        = Municipal solid waste production in Häme
 
|Focus      = Total amount of municipal solid waste produced in Häme {{Disclink|What is the definition of waste?}}
 
|Scope      = Describes annual municipal solid waste production in all over Häme and it's final destination in different parts of the providence
 
|Description = There is three waste management companies in Häme:
 
 
 
'''Päijät-Hämeen jätehuolto Oy'''
 
 
- Kujala waste center is located in Lahti
 
 
- Population in Päijät-Hämeen jätehuolto Oy area of operation is ~199 000
 
 
 
'''Kiertokapula Oy'''
 
 
- Two waste centers; Kapula waste center is located in border of Hyvinkää and Riihimäki (wastes from southern parts of the company operation area) and Karanoja waste center in Hämeenlinna (wastes from northern parts of the company operation area)
 
 
- Population in Kiertokapula Oy area of operation is ~319 000
 
 
 
'''Loimi-Hämeen Jätehuolto Oy'''
 
 
- Kiimassuo waste center is located in Forssa
 
 
- Population in Loimi-Hämeen Jätehuolto Oy area of operation is ~115 000
 
 
|Inputs      = '''Municipal solid waste sited in 2005 to'''
 
 
 
1) Kujala waste center
 
 
 
- total amount of municipal solid waste
 
 
- amount of municipal solid waste per person
 
 
 
2) Kapula and Karanoja waste center
 
 
 
- total amount of municipal solid waste
 
 
- amount of municipal solid waste per person
 
 
 
3) Kiimassuo waste center
 
 
 
- total amount of municipal solid waste
 
 
- amount of municipal solid waste per person
 
 
 
|Index      =
 
|Definition  =
 
|Unit        = tonnes/year and kg/person
 
|Result      ='''Total municipal solid waste sited to'''
 
 
- Kujala (Lahti): 45 591 tonnes/year (229 kg/person)
 
 
- Kapula (Hyvinkää/Riihimäki) and Karanoja (Hämeenlinna): 42 827 and 43 509 tonnes/year (271 kg/person)
 
 
- Kiimassuo (Forssa): 31 083 tonnes/year (270 kg/person)
 
 
|References  = http://www.ymparisto.fi/download.asp?contentid=3281&lan=fi
 
http://www.phj.fi/downloadable_material/Toimintakertomus.pdf
 
 
http://www.kiertokapula.fi/PDF/pdfoppaat/Toimintak_2005.pdf
 
 
http://www.l-hjatehuolto.fi/VK2005.pdf
 
}}
 
 
====Existing MSWI plants and current plans in southern Finland ====
 
Marjaleena
 
 
{{var
 
|Name        =
 
|Focus      = Existing MSWI plants and current plans in southern Finland
 
|Scope      = Existing and planned MSWI plants that could be optional for Hämeenkyrö MSWI (maximum distance of 250 km) Option 0 in the environmental impact assessment for Hämeenkyrö MSWI was not to build the plant but transport the waste to be burned elsewhere or landfilled.
 
Existing MSWI plant (capacity 50 000 t/a) is in Turku (since 1975), and more burning capacity is planned there for 150 000 t/a. MSWI plants in the future In Riihimäki the construction of 150 000 t/a plant has already begun and further away in Kotka there is environmental permit for an 80 000-100 000 t/a plant. Environmental permits were complaint about in Lahti, Kerava and Pori and interrupted project for a while. In Jyväskylä and Seinäjoki environmental impact assessments has been done. Also Helsinki Metropolitan Area Council (YTV) has decided to start planning a new MSWI plant, decisions about position, capacity and technique will be made in the near future.
 
Also co-incineration has been used for waste, even though the tightened legislation has reducing this technique. For example in Pietarsaari tests for burning RDF in existing plant (refuse derived fuel) with other fuels has been recently done (capacity earlier 80 000 t/a).
 
 
|Description =
 
|Inputs      = Waste management options
 
|Index      =
 
|Definition  =
 
|Unit        = Burning capasity of MSWI plant t/a
 
|Result      =
 
|References  = Uusiouutiset Vol 17(2006)2
 
Regional Environmental Centres (Uusimaa, Southwest Finland, Pirkanmaa, West Finland) http:// www.ymparisto.fi
 
 
Western Finland Environmental Permit Authority at http://www.ymparisto.fi
 
 
Helsingin sanomat 29.3.2006
 
}}
 
 
====Background of waste production and its relations to EU directive ====
 
Eva
 
 
{{var
 
|Name        = EU legislation on waste incineration and landfilling.
 
|Focus      = Constraints on waste incineration and landfilling by EU legislation
 
|Scope      = Municipal waste. Landfill Directive (99/31/EC). Incineration Directive (2000/76/EC)
 
|Description = Discussion 1): insert arrow in scheme from MSWI to Constrained by EU directive. 2)insert arrow in scheme from waste management options to Constrained by EU directive. 3)Definition of waste? Defined in Finnish Waste Act(1072/1993) as "all objects or substances which the holder discards, intends to discard, or is legally obliged to discard." (4)
 
 
Related to Waste management options: The EU has a framework for coordination waste management within the Community in order to limit the generation of waste (orginal Directive: 75/442/EC): "Member states must prohibit the abandonment, dumping or uncontrolled disposal of waste. They shall promote waste prevention, recycling and processing for reuse." ..."establishing an integrated and adequate network of disposal installations (taking account of the best available technologies)." (1)
 
Related to MSWI: Directive objective is "to prevent or reduce, as far as possible, air, water and soil pollution caused by the incineration or co-incineration of waste, as well as the resulting risk to human health." Limit values for incineration plant emissions to atmosphere in Annex 1. Limit values for co-incineration plant emissions to atmosphere in Annex 2. "The quantity and harmfulness of incineration residues must be reduced to a minimum and residues must, as far as possible, be recycled." (2)
 
 
Related to Landfill: "The Directive is intended to prevent or reduce the adverse effects of the landfill of waste on the environment, in particular on surface water, groundwater, soil, air and human health." It introduces stringent technical requirements for waste and landfills. "The Directive sets up a system of operating permits for landfill sites. (3)
 
|Inputs      = Related to MSWI: Air emission limit values for the incineration and co-incineration of waste. (2)
 
Related to landfill: List of technical requirements. (3) Targets to reduce landfilling of biodegradable municipal waste (garden waste, kitchen waste, park waste, paper, cardboard) to 75% of 1995 levels by 2006, 50% by 2009 and 35% by 2016. (5)
 
|Index      =
 
|Definition  = The Incineration Directive not only applies to facilities intended for waste incineration ("dedicated incineration plants") but also to "co-incineration" plants (facilities whose main purpose is to produce energy or material products and which use waste as a regular or additional fuel, this waste being thermally treated for the purpose of disposal) (2). Discussion: Is the MSWI in Hameenkyro an incineration or co-incineration plant?
 
|Unit        =
 
|Result      = All waste disposal installations or areas are submitted to EU legislation and should comply with the imposed standards, limit values. When establishing a new installation or landfill, the application requirements should be carefully considered. 
 
|References  = (1) Waste disposal. Council Directive 75/442/EEC of 15 July 1975 on waste. http://europa.eu/scadplus/printversion/en/lvb/121197.htm
 
(2) Waste incineration. Directive 2000/76//EC of the European Parliament and of the Council of 4 December 2000 on the incineration of waste. http://europa.eu/scadplus/leg/en/lvb/128072.htm
 
(3) Landfill of waste. Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste. http://europa.eu/scadplus/printversion/en/lvb/121208.htm
 
(4)J. Kunninen. Multilevel governance. The burning issue of waste in Finland. Centre for European Studies University of Helsinki.
 
(5) Briefing Friends of the Earth. Main EU Directives on waste. April 2001.
 
 
}}
 
}}

Revision as of 07:41, 22 September 2006

Risk assessment on Hämeenkyrö municipal solid waste incinerator contains a structured risk assessment of a plan to build a MSWI in Hämeenkyrö. There will be a public vote related to a city planning decision: whether the municipality should plan an area for the plant or not. The vote will be held in November 19, 2006.

Objective

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Empty variable template

General variables

  1. Precautionary principle (disagreement)
    1. PP based on expected value, general
    2. PP based on worst-case or another 'conservative' scenario, general
    3. PP applied to emissions of municipal solid wasti incinerator (MSWI) in Hämeenkyrö
  2. Intake fraction (disambiguation)
    1. iF based on measured concentration fields
    2. iF based on exposure monitoring
    3. iF based on shortcuts

Background incidence rates for selected diseases and causes of death in Hämeenkyrö

Population size in Hämeenkyrö