Focus: proposal to how to define the focus of this variable
D↷
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
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