|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
Municipal Solid Waste Generation Modelling
Based On Fuzzy Logic |
|
Authors: |
Alessandra Orsoni,
Nikolaos V. Karadimas |
|
Published in:
|
(2006).ECMS
2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel. European
Council for Modeling and Simulation. doi:10.7148/2006 ISBN:
0-9553018-0-7 20th
European Conference on Modelling and Simulation, Bonn,
May 28-31, 2006 |
|
Citation
format: |
Orsoni, A., Karadimas,
N. V., & Loumos, V. (2006). Municipal Solid
Waste Generation Modelling Based On Fuzzy Logic.
ECMS 2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel
(pp. 309-314). European Council for Modeling and Simulation. doi:10.7148/2006-0309 |
|
DOI: |
http://dx.doi.org/10.7148/2006-0309 |
|
Abstract: |
The present
paper introduces an innovative model for the estimation of urban solid waste
productivity using an intelligent system based on fuzzy logic. The model retrieves
the required information from a spatial Geodatabase,
integrated in a GIS environment. The model takes into consideration several
parameters of waste production, such as population density, maximum building
density, commercial traffic, area and type of shops, road network and its
relative information (e.g. road width, dead-end streets, etc) linked with the
allocation of waste bins. Additionally, ground-based analysis has been
applied for the estimation of the interrelations between the aforementioned
factors and the variations in waste production between residential and commercial
areas. Therefore, the
proposed model follows a unified and correlated categorization approach for
all commercial and industrial activities in the area of study using a weighting system for all of the considered factors. The first results from
testing the system using different regions, show the effectiveness of the
system in the estimation process of the optimal number of waste bins in
each region. |
|
Full
text: |
|
