Most available models are static, respectively
deterministic and quantify the uncertainty of estimates
due to random nature of input values. Another
disadvantage of models based only on the LCA is that
they do not allow optimising the allocation of waste
treatment facilities from sources and/or quantifying the
transport emissions. We tried to reduce the greatest
uncertainty of our model by the estimation of the
composition of municipal waste, waste separation,
varying the proportion of resources, varying quantities of
trade waste and the like.
We combine four sub-models in modelling IMWMS
of the Czech Republic:
a) The transport sub-model of MSW flows among
sources and facilities with using the geographic
information system (GIS) ArcMap with its extension
Network Analyst, [9], [10]. It computed the transport
matrix linking the sources MSW and waste treatment
facilities and enabled to find the closest facility to
municipality. Further, the simple model, which is
generated emissions from the transport of MSW. b) The
waste production sub-model of [7], [9], [10] for the
determination of the quantity and composition of MSW
at every source (municipality). This quantity and
composition MSW were calibrated with the database of
collected data from annual waste reports of
municipalities regarding the quantity and separated
components of MSW.