Hämeenkyrö MSWI risk assessment: Fine particles

See the main page of this assessment: Hämeenkyrö MSWI risk assessment: General

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. Important sources of these fine particles are domestic combustion, traffic, industries and energy production. 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 PM2.5 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 D↷ Total emissions = emission (domestic combustion) + emission (traffic) + emission (M-real) + emission (Finnforest) + emission (Kyro power plant) + emission (others) Traffic (2004) particles 11 t/y (mass of PM2.5 ?) (VTT Liisa) Kyro power plant (2002) particles <0,1 t/y (mass of PM2.5 ?) (Lupapäätös 48/2004/1)
References:	www.hameenkyro.fi VTT Liisa lipasto.vtt.fi/lipasto/liisa/index.htm Länsi-Suomen ympäristölupavirasto, Lupapäätös 48/2004/1

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. (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-1
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_2.5 exposure in Hämeenkyrö

Anne K

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 8-11 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_2.5 emissions from Hämeenkyrö

Intake fraction for PM_2.5 emissions from Hämeenkyrö

Focus:	Intake fraction for PM2.5 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*10-6 (primary particles) less clear but probably lower, maybe in the order of 0.1--0.5*10-6 (secondary particles)
References:	Tainio et al., Kopra project. Fine-loppuseminaari 3/2006.

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?
Inputs:
Index:
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) for dose over a lifetime the formula can be simplified to D = (IR)(P)(RF)/BW Assumptions: IR = 13 m3/d P = the background concentration, as the emission caused by the MSWI is distributed wide and thus diluted to negligible, thus 7 mikrog/m3/d = 0,007 mg/m3/d RF = 0,6 BW = 70 kg HOWEVER, in most dose-response studies and health effect evaluations the dose = the exposure or even the concentration in air.
Unit:	mg d -1 kg-1
Result:	0,0008 mg d -1 kg-1
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 M./Anu T.

PM_2.5 exposure-response function on population level

Focus:	the relationship between PM2.5 exposure and specific health effects in a given timeperiod
Scope:	general population
Description:	PM2.5 are fine particles less than 2.5 μm in diameter. Their exposure-response function is needed to determine the effect of PM2.5 exposure on Hämeenkyrö inhabitants' health. Health effect of PM2.5 exposure in Hämeenkyrö = total PM2.5 exposure in Hämeenkyrö * exposure-response function in the general population. Exposure-response function can be derived from exposure modelling, animal toxicology, small clinical or panel studies, and epidemiological studies. Exposed population can be divided into subpopulations (e.g. adults, children, infants, the elderly), and exposure is assessed per certain timeperiod (e.g. daily or annual exposure). 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
Index:
Definition:
Unit:	increase in adverse health effect/1 ug/m3 change in PM 2.5 concentration increase in the risk of death per each 10 µg/m3 elevation in PM2.5
Result:	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:	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 http://es.epa.gov/ncer/rfa/2004/2004_pm_research.html