Risk assessment on Hämeenkyrö municipal solid waste incinerator

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

RA of Hämeenkyrö MSWI

Focus:	Health risk assessment related to the effects of the planned MSWI plant in Hämeenkyrö. (draft) D↷
Scope:	Health of the population in Hämeenkyrö especially, and in Southern Finland in general. Time scope: next 20 years (draft)D↷
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Empty variable template

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General variables

Optimizing rules

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Description:	Optimizing rules, general (disagreement) Utilitarian optimizing Egalitarian optimizing Elitist optimizing
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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

Fine particle variables

PM_2.5 emissions in Hämeenkyrö

Päivi

PM_2.5 emissions in Hämeenkyrö

Focus:	Existing PM2.5 emissions from all the sources in Hämeenkyrö.
Scope:	Annual emissions. Emissions from the sources in Hämeenkyrö municipality area only.
Description:	PM2.5 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.
Inputs:	Baseline PM2.5 exposure in Hämeenkyrö, Well-being of the population (smells, comfort, noise)
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Unit:	tonnes/year
Result:	The sum of the emissions from all the sources (trying to find some numbers here)
References:	www.hameenkyro.fi

PM_2.5 emissions from MSWI, biofuel plant, and natural gas plant in Hämeenkyrö

Tommi

Focus:	Gives PM2.5 emissions for the three power plants according to their actual/planned production
Scope:	Annual PM2.5 emissions for each power plant.
Description:	This variable gives the PM2.5 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.
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.
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Unit:	t a-1
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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_2.5 exposure in Hämeenkyrö

Anne K

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PM_2.5 exposure due to MSWI in Hämeenkyrö

Terhi Y

Focus:	Describes the variables affecting the personal exposure to MSWI-produced PM2.5 (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 PM2.5 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 PM2.5 concentration of PM2.5 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 PM2.5 concs 20-30 mikrog/m3, concentration in Helsinki over several years 8-11 mikrog/m3, non-urban US concs 1-6 mikrog/m3 (Koistinen 2002). Thus, small Finnish town: maybe 7 mikrog/m3?
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Definition:	D = ((IR)(P)(RF)(ET)(EF)(ED))/(BW)(AT) where D = dose (mg/kg.day) IR = inhalation rate (m3/h) P = particle concentration in air (mg/m3) 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)
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References:	List of references does not include articles referred to within the reference... Koistinen, Kimmo (2002). Exposure of an urban adult population to PM2.5. 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_2.5 exposure-response function on population level

Sari

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Dioxin variables

Dioxin emissions in Hämeenkyrö

Virpi

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Baseline dioxin exposure in Hämeenkyrö

Marjo

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.
Inputs:	Dioxin emissions in Hämeenkyrö
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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

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Dioxin exposure-response function on population level

Sanna

Responses of dioxin exposure on human health at the population level

Focus:	Determine health effects caused by dioxin exposure
Scope:	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).
Description:	- 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 concern than cancer
Inputs:	-Dioxin emissions and in Hämeenkyrö -population; susceptible groups, demographic data -baseline exposure level of the population
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Unit:	increased risk for developmental defects/ pg/kg body weight/ year, increased lifetime risk per pg/kg body weight OR risk / adipose tissue concentration
Result:	the most sensitive endpoints are developmental defects: according the animal data TDI is set in a range of 1-4 pg TEQs/kg bodyweight/day
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

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 Things that should take account: Comparing the noise from the incinerator to the noise coming from the birds, the traffic and activities in a landfill The incinerator has planned to build in the existing industrial place. What is the present level of the noise in that site? What is the distance from the industrial site to the settlement? The noise disturbs the comfortability of the living 2. The smell: Probable less disturbing comparing it to the dump site. Inhabitants, who live near the landfill, think that the smell decreases the living comfortability a lot. 3. The social factors: Increasing a employment grade Decreasing the value of the property (houses, lands, summer cottages) Fear of the birds (the influenza) 4. Landscape: A minor effect 5. Other things that will not occur with the municipal solid waste incinerator: Diseases coming via the rats or birds? (This is a wild assumption) Hazardous components leaching to the ground water and/or surface water will decrease.(The incinerator processes are controlled and monitored) 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).
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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

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)
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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
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Transportation costs of waste

Anne

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Health effects of dioxins and PM_2.5

Anu T

Health effects

Focus:	effects of dioxins and PM2.5 on human health
Scope:	potential short-term and long-term health effects among Hämeenkyrö inhabitants caused by dioxins and PM2.5 originating from the Hämeenkyrö municipal solid waste incinerator
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 R↻ ) PM2.5 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: PM2.5 emissions in Hämeenkyrö PM2.5 emissions from MSWI, biofuel plant, and natural gas plant in Hämeenkyrö Baseline PM2.5 exposure in Hämeenkyrö PM2.5 exposure due to MSWI in Hämeenkyrö PM2.5 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
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Unit:	Dioxins: increase in lifetime risk per pg/kg body weight PM2.5: increase in the risk of death per each 10 µg/m3 elevation in PM2.5
Result:	Dioxins effective dose resulting in a 0.01 increase in lifetime risk of cancer mortality (ED01): 45 pg/kg body weight (95% CI 21-324 pg/kg body weight) tolerable daily intake (TDI): 1-4 pg/kg body weight PM2.5 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/m3 elevation in PM2.5 air pollution
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

Municipal solid waste production in Häme

Focus:	Total amount of municipal solid waste produced in Häme
Scope:	Describes 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
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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

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Background of waste production and its relations to EU directive

Eva

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