Optimal Municipal Solid Waste Management of A City in North India
Neeraj Parashar1, Sandeep Singla2, Anuj Sachar3, Anjali Gupta4
1Neeraj Parashar, Department of Civil Engineering, Egional Institute of Management and Technology, Punjab, India.
2Sandeep Singla, Department of Civil Engineering, Egional Institute of Management and Technology, Punjab, India.
3Anuj Sachar, Department of Civil Engineering, Egional Institute of Management and Technology, Punjab, India.
4Anjali Gupta, Research and Studies, Department of Civil Engineering, Manav Rachna Institute, Faridabad, India.
Manuscript received on 08 August 2019 | Revised Manuscript received on 14 August 2019 | Manuscript Published on 26 August 2019 | PP: 1040-1048 | Volume-8 Issue-9S August 2019 | Retrieval Number: I11670789S19/19©BEIESP | DOI: 10.35940/ijitee.I1167.0789S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper studies the present system of collection, transportation and disposal of Municipal Solid Waste (MSW) being followed in the city of Panchkula, in North India. It is found that the present system of MSW management in Panchkula is unscientific, inefficient and a major potential environment and health hazard. The trends of waste generation and its qualitative as well as quantitative characteristics have been studied in this paper and paired comparison techniques tool has been used to arrive at the most suitable, sustainable and environment friendly solution for the management of MSW in Panchkula. Each element of the proposed MSW management system has been discussed in detail. The paper leads to the conclusion that a participative, inclusive and decentralized system would be best suited for the city.
Keywords: Municipal Solid Waste, Composting, Ranking, Land Filling, Segregation.
Scope of the Article: Uncertainty Knowledge Management