Title: Forecasting of solid waste composition using fuzzy regression approach: a case of Delhi
Author: Amitabh Kumar Srivastava, Arvind K. Nema
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India.
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India
Journal: Int. J. of Environment and Waste Management, 2008 Vol.2, No.1/2, pp.65 - 74
Abstract: Fuzzy regression based approach has been used for forecasting the solid waste composition of Delhi, India between years 2007 to 2024. The estimates show that the plastic content of the waste is expected to increase from 2.74% to 3.55%. The percentages of paper and food waste are expected to decrease from 29.50% to 24.58% and from 36.37% to 27.55% respectively. The metals and glass has been estimated to increase to triple and double respectively. The findings emphasise the importance of forecasting waste composition and the significance of waste segregation for efficient operation of various reuse-recycle, treatment and disposal facilities.
Keywords: solid waste composition; forecasting; fuzzy regression; waste management; India; plastics waste; food waste; paper waste; metals waste; glass waste.
Available online 03 Feb 2008