Non-road fuel consumption and pollutant emissions ... - BAFU - CH
Non-road fuel consumption and pollutant emissions ... - BAFU - CH
Non-road fuel consumption and pollutant emissions ... - BAFU - CH
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
4 > Methodology 19<br />
The inventories <strong>and</strong> operating hours in the reference year were entered for each segment,<br />
<strong>and</strong> the data formed the basis for projections concerning the evolution of inventories<br />
<strong>and</strong> operating hours between 1980 <strong>and</strong> 2020 in intervals of five years. In addition,<br />
an age distribution was indicated for each segment that corresponds to the average<br />
age of the machines <strong>and</strong> appliances cited in the non-<strong>road</strong> database (EWI 2005). When<br />
calculating emission levels, this age distribution can be used as the basis for determining<br />
which machines/appliances are to be allocated to which emission stages.<br />
4.2.2 Collection of data<br />
A variety of methods were used for collecting the required data. Questionnaires were<br />
mailed to manufacturers, importers <strong>and</strong> operators. Where available, use was made of<br />
existing statistics in Switzerl<strong>and</strong> <strong>and</strong> ab<strong>road</strong>, e. g. the database of the Swiss Federal<br />
Motor Vehicle Inspection Office. Special workgroups were formed for the purpose of<br />
collecting data relating to specific types of machines <strong>and</strong> appliances. Due to the relatively<br />
modest volume of statistics available in existing data sets, the various data<br />
collection groups estimated inventories <strong>and</strong> operating hours based on the evaluation of<br />
questionnaires <strong>and</strong> the experience of the involved specialists.<br />
In addition to inventory figures, information was provided relating to operating hours,<br />
<strong>and</strong> to the development of these key data between 1980 <strong>and</strong> 2020. On top of this, for<br />
each segment the average age of the machines <strong>and</strong> appliances was estimated, <strong>and</strong><br />
assumptions were made with respect to typical trends for their age distribution.