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Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran

Solid waste management is an important component in the environmental system, and plays a key role in population health. Furthermore, Municipal Solid Waste Management (MSWM) is one of the critical environmental management challenges which is being faced by many developing countries including Iran du...

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Main Author: Nadi, Behzad
Format: Thesis
Language:English
English
Published: 2010
Online Access:http://psasir.upm.edu.my/id/eprint/19709/2/ITMA_2010_3_F.pdf
http://psasir.upm.edu.my/id/eprint/19709/
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spelling my.upm.eprints.197092013-05-27T08:02:54Z http://psasir.upm.edu.my/id/eprint/19709/ Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran Nadi, Behzad Solid waste management is an important component in the environmental system, and plays a key role in population health. Furthermore, Municipal Solid Waste Management (MSWM) is one of the critical environmental management challenges which is being faced by many developing countries including Iran due to a rapid urban development. The aim of this dissertation research was developing models of solid waste management. The developed models were integrated into a Geospatial technology to select landfill sites based on fuzzy logic tools in GIS and artificial neural network analysis by means of weekly quantity prediction data of solid waste. In this regard, the response surface model was applied to optimize the cost of collection and transportation of solid waste. In this study, extra parameters such as fuel consumption, machinery, and labor force (waste collection and transport) were applied for prediction of solid waste in order to assess their effect in improving the structure of ANN model and the training performance of generated model. To select the landfill site, three methods were applied known as additive weighting, ordered weighted averaging, and weighted linear combination. These methods were applied in a Fuzzy logic manner. According to the obtained results, there were many locations detected by OWA but not all of them were qualified. A Response Surface Model (RSM) was also implemented with conventional optimization techniques of solid waste management. The effects of three parameters such as fuel consumption, total labor, and volume of transport were also investigated. Later on, reasonable and simple expressions for calculating the influential factors were suggested and established out based on distribution of influential factors. The recommendations of this thesis consist of an implementation of a new solid waste management program which is suitable for recent urbanized area. 2010-11 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/19709/2/ITMA_2010_3_F.pdf Nadi, Behzad (2010) Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran. PhD thesis, Universiti Putra Malaysia. English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Solid waste management is an important component in the environmental system, and plays a key role in population health. Furthermore, Municipal Solid Waste Management (MSWM) is one of the critical environmental management challenges which is being faced by many developing countries including Iran due to a rapid urban development. The aim of this dissertation research was developing models of solid waste management. The developed models were integrated into a Geospatial technology to select landfill sites based on fuzzy logic tools in GIS and artificial neural network analysis by means of weekly quantity prediction data of solid waste. In this regard, the response surface model was applied to optimize the cost of collection and transportation of solid waste. In this study, extra parameters such as fuel consumption, machinery, and labor force (waste collection and transport) were applied for prediction of solid waste in order to assess their effect in improving the structure of ANN model and the training performance of generated model. To select the landfill site, three methods were applied known as additive weighting, ordered weighted averaging, and weighted linear combination. These methods were applied in a Fuzzy logic manner. According to the obtained results, there were many locations detected by OWA but not all of them were qualified. A Response Surface Model (RSM) was also implemented with conventional optimization techniques of solid waste management. The effects of three parameters such as fuel consumption, total labor, and volume of transport were also investigated. Later on, reasonable and simple expressions for calculating the influential factors were suggested and established out based on distribution of influential factors. The recommendations of this thesis consist of an implementation of a new solid waste management program which is suitable for recent urbanized area.
format Thesis
author Nadi, Behzad
spellingShingle Nadi, Behzad
Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
author_facet Nadi, Behzad
author_sort Nadi, Behzad
title Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
title_short Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
title_full Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
title_fullStr Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
title_full_unstemmed Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
title_sort geospatial modeling for optimization of solid waste disposal in a rapidly urbanizing city, sari, in iran
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/19709/2/ITMA_2010_3_F.pdf
http://psasir.upm.edu.my/id/eprint/19709/
_version_ 1643827119974776832
score 13.211869

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