Literature DB >> 17258446

Estimation of regional building-related C&D debris generation and composition: case study for Florida, US.

Kimberly Cochran1, Timothy Townsend, Debra Reinhart, Howell Heck.   

Abstract

Methodology for the accounting, generation, and composition of building-related construction and demolition (C&D) at a regional level was explored. Six specific categories of debris were examined: residential construction, nonresidential construction, residential demolition, nonresidential demolition, residential renovation, and nonresidential renovation. Debris produced from each activity was calculated as the product of the total area of activity and waste generated per unit area of activity. Similarly, composition was estimated as the product of the total area of activity and the amount of each waste component generated per unit area. The area of activity was calculated using statistical data, and individual site studies were used to assess the average amount of waste generated per unit area. The application of the methodology was illustrated using Florida, US approximately 3,750,000 metric tons of building-related C&D debris were estimated as generated in Florida in 2000. Of that amount, concrete represented 56%, wood 13%, drywall 11%, miscellaneous debris 8%, asphalt roofing materials 7%, metal 3%, cardboard 1%, and plastic 1%. This model differs from others because it accommodates regional construction styles and available data. The resulting generation amount per capita is less than the US estimate - attributable to the high construction, low demolition activity seen in Florida.

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Year:  2007        PMID: 17258446     DOI: 10.1016/j.wasman.2006.03.023

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  5 in total

1.  Quality and quantity of construction and demolition waste in Tehran.

Authors:  Alireza Asgari; Tahereh Ghorbanian; Nader Yousefi; Dariush Dadashzadeh; Fatemeh Khalili; Amin Bagheri; Mehdi Raei; Amir Hossein Mahvi
Journal:  J Environ Health Sci Eng       Date:  2017-06-20

2.  Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.

Authors:  Gi-Wook Cha; Hyeun Jun Moon; Young-Min Kim; Won-Hwa Hong; Jung-Ha Hwang; Won-Jun Park; Young-Chan Kim
Journal:  Int J Environ Res Public Health       Date:  2020-09-24       Impact factor: 3.390

3.  Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province.

Authors:  Hongmei Liu; Rong Guo; Junjie Tian; Honghao Sun; Yi Wang; Haiyan Li; Lu Yao
Journal:  Int J Environ Res Public Health       Date:  2022-10-03       Impact factor: 4.614

4.  The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste.

Authors:  Gi-Wook Cha; Young-Chan Kim; Hyeun Jun Moon; Won-Hwa Hong
Journal:  Int J Environ Res Public Health       Date:  2017-10-12       Impact factor: 3.390

5.  Analysis of Waste Generation Characteristics during New Apartment Construction-Considering the Construction Phase.

Authors:  Young-Chan Kim; Yuan-Long Zhang; Won-Jun Park; Gi-Wook Cha; Jung-Wan Kim; Won-Hwa Hong
Journal:  Int J Environ Res Public Health       Date:  2019-09-19       Impact factor: 3.390

  5 in total

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