Assessing the demand of solid waste disposal in urban region by urban dynamics modelling in a GIS environment

Leão, Simone; Bishop, Ian D.; Evans, David W.

doi:10.1016/s0921-3449(01)00090-8

Cited by 95 publications

(33 citation statements)

References 15 publications

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“…Appropriate allocation of landfills involves the selection of areas that are suitable for waste disposal. With regards to waste management, site selection studies reported in the literature cover the allocation of urban solid waste landfills (Lane and McDonald, 1983;Chang and Wang, 1993;Lober, 1995;Siddiqui et al, 1996;Kao et al, 1997;Leao et al, 2001 and2004;Themistoklis et al, 2005;Al-Jarrah and AbuQdais, 2006), hazardous solid waste centers (Canter, 1991 andKoo et al, 1991), and recycling operation facilities (Lober, 1995 andHokkanen andSalminen, 1997), etc. The present work describes a type of multicriteria evaluation (MCE) method called weighted linear combination (WLC) in a GIS environment to evaluate the suitability of the outskirts of Gorgan city (Iran) for landfill.…”

Section: Introductionmentioning

confidence: 99%

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

Mahini

Gholamalifard

2006

Int. J. Environ. Sci. Technol.

138

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ABSTRACT:Landfill has been taken to the bottom of the hierarchy of options for waste disposal but has been the most used method for urban solid waste disposal. However, landfill has become more difficult to implement because of its increasing cost, community opposition, and more restrictive regulations regarding the siting and operation of landfills. Land is a finite and scarce resource that needs to be used wisely. Appropriate allocation of landfills involves the selection of areas that are suitable for waste disposal. The present work describes a type of multi-criteria evaluation (MCE) method called weighted linear combination (WLC) in a GIS environment to evaluate the suitability of the study region for landfill. The WLC procedure is characterized by full tradeoff among all factors, average risk and offers much flexibility than the Boolean approaches in the decision making process. The relative importance weights of factors are estimated using the analytical hierarchy process (AHP). In the final aggregated suitability image, zones smaller than 20 hectares are eliminated from the allocation process. Afterwards, the land suitability of a zone is determined by calculating the average of the suitability of the cells belonging to that zone, a process called zonal land suitability. The application of the presented method to the Gorgan city (Iran) indicated that there are 18 zones for landfill with their zonal land suitability varying from 155.426117 to 64.149024. The zones were ranked in descending order by the value of their zonal land suitability. The results showed the use of GIS as a decision support system (DSS) available to policy makers and decision makers in municipal solid waste (MSW) management issues.

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Section: Introductionmentioning

confidence: 99%

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

Mahini

Gholamalifard

2006

Int. J. Environ. Sci. Technol.

138

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“…The land and parcels used for storage are located on resources like agricultural fields and available groundwater resources which are very important for present and future generations. The increase in recycling rates would in turn decrease the size of the land used for these aims (Leao et al, 2001). As a result of the study, it was determined that the decrease in the share of the agricultural sector in the total added value in the countries caused the recycling rate to decrease.…”

Section: Discussionmentioning

confidence: 99%

The Socio-Economic Determiners of Recycling: An Analysis on European Countries Through a Macro Perspective

Önder¹

2018

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The growing economies and the increase in urbanization have increased the process of waste production. Recycling of the wastes resulting from economic processes through certain operations would both decrease the amount of wastes and the need for area to store them and minimize the demand for virgin resources in production. This study aims to examine the socio-economic factors that are effective on recycling from macro perspective. Therefore, a Panel Data Analysis was conducted with data of 31 European Economic Area (EEA) countries concerning the period from 2004 to 2014. In the model used in the analysis, the recycling rate is represented by the packaging waste recycling rate. As an independent variable, Education, Income, R & D expenditures, Resources and Agricultural sector added values were used. As a result of the analyses conducted in this research it was determined that education and amount of resources are in a positive relationship with recycling rate while income levels and the agriculture sector are in a negative relationship with the recycling rate.

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“…Shortage of land for landfills is a problem frequently cited in the literature as a physical constraint. Leao et al (2001) presented a method to quantify the relationship between the demand and supply of suitable land for waste disposal over time using a G.I.S. and modelling techniques.…”

Section: Forewordmentioning

confidence: 99%

New Technologies for Ecosystem Analysis Planning and Management

Picuno¹,

Tortora²,

Sica³

et al. 2012

Diversity of Ecosystems

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Assessing the demand of solid waste disposal in urban region by urban dynamics modelling in a GIS environment

Cited by 95 publications

References 15 publications

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

The Socio-Economic Determiners of Recycling: An Analysis on European Countries Through a Macro Perspective

New Technologies for Ecosystem Analysis Planning and Management

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