Title: Modelling the chemical compositions of municipal solid waste in Ghaziabad City, Uttar Pradesh, India

Authors: Ajay Satija; Dipti Singh; Athar Hussain

Addresses: Department of Applied Science and Humanities, Inderprastha Engineering College, 63, Site IV, Sahibabad Industrial Area, Sahibabad, Ghaziabad, Uttar Pradesh, India ' School of Vocational Studies and Applied Sciences, Gautam Buddha University, Gautam Buddha Nagar, Uttar Pradesh, India ' Department of Civil Engineering, Ch. B.P. Government Engineering College, Jaffarpur, Delhi, India

Abstract: Ghaziabad is one of the fastest growing, highly urbanised and industrialised metropolitan cities of National Capital Region of India. The waste disposal facilities for Ghaziabad need to be revamped for which proper strategies have to be developed and adopted by the Municipal Corporation of Ghaziabad. Waste-to-energy and compost formation are sustainable solutions for waste disposal practices. In the current study, the chemical characteristics of municipal solid waste of 36 samples from seven different sources in Ghaziabad City have been analysed. The study proposes five predictive regression models based on proximate analysis along with seven regression models based on ultimate analysis in order to reduce cost, time and effort of experimental work. The results indicate that compost formation from waste can be a better option for Ghaziabad City to manage its waste.

Keywords: municipal solid waste; proximate analysis; ultimate analysis; regression analysis; waste management; India.

DOI: 10.1504/IJEWM.2018.094116

International Journal of Environment and Waste Management, 2018 Vol.22 No.1/2/3/4, pp.48 - 60

Received: 02 Jun 2017
Accepted: 18 Feb 2018

Published online: 16 Aug 2018 *

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