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A Practical Model For Construction And Demolition Waste Landfill Site Selection Based On Geographic Information System

Posted on:2019-12-31Degree:MasterType:Thesis
Country:ChinaCandidate:M L ZhuFull Text:PDF
GTID:2381330566461636Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the economy and urbanization of China,the construction scale of office buildings,residential buildings and municipal facilities have been growing,which result in a large number of construction and demolition(C&D)waste.The C&D waste will not only consume the large amounts of land resources but also cause the environmental pollution and ecological imbalance.Therefore,the disposal of C&D waste has become a great challenge for city sustainable development.Although the reduction and recycling of C&D waste have been conducted by the government but simple landfill is still the main disposal method.At present,the shortage of land resources for landfill exist in many cities,the C&D waste landfill site can not satisfy the generation of C&D waste.What's more,inappropriate selection of C&D waste landfill site may make negative impact on environmental,economic and social.Therefore,the selection of C&D waste landfill site is very important.Through the analysis of C&D waste disposal in China and the research about landfill site selection at home and abroad,we found that there are relatively few researches on the site selection of construction landfills.The following problems exist in the current study: the research object of site selection is relatively single.Most of the researchers studied on domestic waste and solid waste.The factors of site selection are not comprehensive,most factors are qualitative rather than quantitative factors.At the same time,the weight of site selection factors are not accurate enough,and the calculation method is simple and convenient.Therefore,the scientific site selection model of C&D waste landfill need to be studied.Based on search and summary of related literature at home and abroad and domestic related regulations,this study,sums up 16 factors of C&D waste landfill site selection,including environmental factors(surface water,water conservation areas,nature reserves,airports,special land,agricultural land,slope,and elevation),social factors(humanistic attractions,natural attractions,historical relics,urban residents and rural residents)and economic factors(main road,future C&D waste distribution and land prices).On this basis,this paper takes Shenzhen as a case study,using Analytic hierarchy process(AHP)and entropy weight method to calculate the weight of influencing factors.The spatial database is established in ArcGIS,and the factors of site selection are analyzed quantitatively,such as establishing buffer zone,surface analysis and superposition analysis,etc.Finally,the site selection model of C&D waste landfill is obtained by superposition.In this paper,the potential site is evaluated with comprehensive scores,the higher the score is,the more suitable for the C&D waste landfill site.The potential sites are divided into three levels by the comprehensive score: the most suitable,suitable,and unsuitable.The results showed that the three sites above occupied the total land area of Shenzhen City 0.38%,17.58% and 82.04% respectively.The most suitable landfill site is located in Baoan District and Dapeng District,other suitable areas are in Guangming,Longhua,Longgang,Pingshan District etc.The model established in this study provides a scientific basis for the future site selection decision of Shenzhen and other cities in China.This paper provides a valuable reference to select the landfill site of the C&D waste reasonably and scientifically for the construction planning management department.Meanwhile,this paper also propose some suggestions for further improvement of the landfill site selection.
Keywords/Search Tags:Construction and demolition waste, Landfill site selection, Geographic information system, Analytic hierarchy process and Entropy weight met
PDF Full Text Request
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