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
Subjects:	Geospatial data Geographic information systems Refuse and refuse disposal - Iran
Online Access:	http://psasir.upm.edu.my/id/eprint/19709/2/ITMA_2010_3_F.pdf
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id	my-upm-ir.19709
record_format	uketd_dc
spelling	my-upm-ir.197092013-05-27T08:02:54Z Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran 2010-11 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. Geospatial data Geographic information systems Refuse and refuse disposal - Iran 2010-11 Thesis http://psasir.upm.edu.my/id/eprint/19709/ http://psasir.upm.edu.my/id/eprint/19709/2/ITMA_2010_3_F.pdf application/pdf en public phd doctoral Universiti Putra Malaysia Geospatial data Geographic information systems Refuse and refuse disposal - Iran Institute of Advanced Technology English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Geospatial data Geographic information systems Refuse and refuse disposal - Iran
spellingShingle	Geospatial data Geographic information systems Refuse and refuse disposal - Iran Nadi, Behzad Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Nadi, Behzad
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
granting_institution	Universiti Putra Malaysia
granting_department	Institute of Advanced Technology
publishDate	2010
url	http://psasir.upm.edu.my/id/eprint/19709/2/ITMA_2010_3_F.pdf
_version_	1747811448298405888

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

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