Quantification and Mapping of Construction Waste Generation in Parit Raja

Abstract:

Construction waste is a material of waste or excess building materials that are not used either in the original or debris from construction, structural repair, and improvement work, house demolishing, buildings and other structures. Wastes are from excess building materials from dredged material and stumps of structural repairs, improvements and work to destroy sidewalks, homes, commercial buildings and other structures. Construction waste also refers to soil, rock and vegetation removed during land levelling works or civil engineering works and works related to road maintenance. Illegal dumping site is places other than permitted facilities to dump waste such as transfer stations and landfills. The objectives of this study are; (1) identify illegal dumping of construction waste distribution in Parit Raja; (2) quantifying the illegal dumping of construction waste generated in Parit Raja and; (3) develop Geographic Information System (GIS) map for illegal dumping construction waste distribution in Parit Raja. In this study the location of the construction waste identified using Global Positioning System (GPS) in smartphone. Then the picture and material of construction waste was taken and identified. After that the volume of construction waste were determined using the pyramidal or rectangular shape measure. For the scattered waste, the weight were taken and converted to volume. Lastly the data was plotted and mapped in the GIS system. This study successfully create a database of construction waste generation in Parit Raja. The benefit of this study is it will help the management of waste in Parit Raja.Keywords:construction waste illegal dumping, database, GIS system

• Periodical: Applied Mechanics and Materials (Volumes 773-774)
• Pages: 1032-1036
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.773-774.1032
• Online since: July 2015
• Authors: Noor Yasmin Zainun*, Wrohayu Othman
• Keywords: Construction Waste Illegal Dumping, Database, GIS

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