A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Municipal Solid Waste Management with Uncertainty Analysis for Urban Cities
Abstract The problem of municipal solid waste management (MSWM) is a complex, multidisciplinary problem involving economic and technical aspects, regulatory normative constraints. The waste amount and management practices in different regions, nations and cities of the world also affect selection of management options. The prime aim of any solid wastes management plan is to ensure safe, efficient and economic collection, transportation, treatment and disposal of wastes, and to ensure that the system operates satisfactorily for the current as well as for the foreseeable future scenarios considering the pressures on resources such as land, finance and in addition intensifying environmental regulations. The selection of an optimum configuration of transportation routes, treatment technologies and disposal sites is prime importance in MSWM. In this paper, a mixed integer linear (MIL) optimization model has been developed considering uncertainty in waste quantity as well uncertainty in the unrecovered waste. The relationship between increase in waste quantity and increase in the total cost involved in waste management is investigated and found to be nonlinear.
Municipal Solid Waste Management with Uncertainty Analysis for Urban Cities
Abstract The problem of municipal solid waste management (MSWM) is a complex, multidisciplinary problem involving economic and technical aspects, regulatory normative constraints. The waste amount and management practices in different regions, nations and cities of the world also affect selection of management options. The prime aim of any solid wastes management plan is to ensure safe, efficient and economic collection, transportation, treatment and disposal of wastes, and to ensure that the system operates satisfactorily for the current as well as for the foreseeable future scenarios considering the pressures on resources such as land, finance and in addition intensifying environmental regulations. The selection of an optimum configuration of transportation routes, treatment technologies and disposal sites is prime importance in MSWM. In this paper, a mixed integer linear (MIL) optimization model has been developed considering uncertainty in waste quantity as well uncertainty in the unrecovered waste. The relationship between increase in waste quantity and increase in the total cost involved in waste management is investigated and found to be nonlinear.
Municipal Solid Waste Management with Uncertainty Analysis for Urban Cities
Singh, Vinai (author) / Singh, R. M. (author) / Rawal, N. R. (author)
2018-01-01
14 pages
Article/Chapter (Book)
Electronic Resource
English
Municipal solid waste management (MSWM) , Optimization formulation , Landfills , Fuzzy logic , Incinerator , Truck depot and uncertainty characterization Environment , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Water Quality/Water Pollution , Water and Health
Modeling Municipal Solid Waste Management System under Uncertainty
| Taylor & Francis Verlag | 2010
The impacts of decision uncertainty on municipal solid waste management
| Online Contents | 2017
Municipal Solid Waste Management in Smart Cities: Facility Location of Community Bins
| British Library Conference Proceedings | 2019
Life Cycle Assessment for the Management of Municipal Solid Waste in Indian Cities
| Springer Verlag | 2022