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Evaluation of the Spatial and Temporal Trends in Household Solid Waste Disposal in Sri Lanka Using Geo-Informatics and Statistical Tools

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dc.contributor.author Udayanga, N.W.B.A.L.
dc.contributor.author Kodituwakku, K.A.R.K.
dc.date.accessioned 2014-11-05T09:31:53Z
dc.date.available 2014-11-05T09:31:53Z
dc.date.issued 2014-06
dc.identifier.isbn 978-955-4563-21-6
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/2436
dc.description.abstract Generation of solid waste in large quantities and their improper disposal associated with the accelerated economic and technological advancement and population growth have raised growing concerns throughout the world including Sri Lanka. The complication of the composition and the quantitative increase of household waste have become a major issue in Sri Lanka. Localized trends in solid waste disposal play a critical role in drafting of policies and management plans for effective management of solid waste. Thus, a statistics and geoinformatics based analysis of the recent trends in household solid waste disposal was carried out to identify the characteristic disposal methods of household solid waste of each district, and to evaluate both spatial and temporal trends in household solid waste disposal patterns in Sri Lanka in order to facilitate the effective management of solid waste. Commonly practiced household solid waste disposal methods and percentage contribution of each method in each district in 2006-2007, 2009-2010 and 2012-2013 were obtained from the Department of Census and Statistics, Sri Lanka. The data were then subjected to Principal Component Analysis (PCA) to identify the major characteristic household solid waste disposal methods and the temporal variation of the household solid waste disposal methods in each district, by using PRIMER V 5.2.9. software package. Characteristic disposal method(s) of household solid waste in each district during the study period were recognized based on the scores of the Principal Components and districts that exhibit similarities in the disposal methods were grouped into clusters. Spatial maps of above recognized clusters that exhibit similar characteristic disposal methods were prepared using Arc GIS 9.2 and the spatial and temporal variation of such clusters were analyzed to identify the recent trends in household solid waste disposal. Generation of solid waste in large quantities and their improper disposal associated with the accelerated economic and technological advancement and population growth have raised growing concerns throughout the world including Sri Lanka. The complication of the composition and the quantitative increase of household waste have become a major issue in Sri Lanka. Localized trends in solid waste disposal play a critical role in drafting of policies and management plans for effective management of solid waste. Thus, a statistics and geoinformatics based analysis of the recent trends in household solid waste disposal was carried out to identify the characteristic disposal methods of household solid waste of each district, and to evaluate both spatial and temporal trends in household solid waste disposal patterns in Sri Lanka in order to facilitate the effective management of solid waste. Commonly practiced household solid waste disposal methods and percentage contribution of each method in each district in 2006-2007, 2009-2010 and 2012-2013 were obtained from the Department of Census and Statistics, Sri Lanka. The data were then subjected to Principal Component Analysis (PCA) to identify the major characteristic household solid waste disposal methods and the temporal variation of the household solid waste disposal methods in each district, by using PRIMER V 5.2.9. software package. Characteristic disposal method(s) of household solid waste in each district during the study period were recognized based on the scores of the Principal Components and districts that exhibit similarities in the disposal methods were grouped into clusters. Spatial maps of above recognized clusters that exhibit similar characteristic disposal methods were prepared using Arc GIS 9.2 and the spatial and temporal variation of such clusters were analyzed to identify the recent trends in household solid waste disposal. en_US
dc.language.iso en en_US
dc.publisher Department of Zoology, University of Kelaniya, Kelaniya, Sri Lanka en_US
dc.title Evaluation of the Spatial and Temporal Trends in Household Solid Waste Disposal in Sri Lanka Using Geo-Informatics and Statistical Tools en_US
dc.type Article en_US


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