Hazardous waste management system design under population and environmental impact considerations. (1st December 2017)

• Record Type: Journal Article
• Authors: Yilmaz, Ozge; Kara, Bahar Y.; Yetis, Ulku
• Is Part Of: Journal of environmental management. Volume 203:Part 2(2017)
• Page Start: 720
• Page End: 731
• Publication Date: 2017-12-01
• Subjects: Hazardous waste -- Multi-objective location/routing model -- Optimization; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2016.06.015
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: This paper presents a multi objective mixed integer location/routing model that aims to minimize transportation cost and risks for large-scale hazardous waste management systems (HWMSs). Risks induced by hazardous wastes (HWs) on both public and the environment are addressed. For this purpose, a new environmental impact definition is proposed that considers the environmentally vulnerable elements including water bodies, agricultural areas, coastal regions and forestlands located within a certain bandwidth around transportation routes. The solution procedure yields to Pareto optimal curve for two conflicting objectives. The conceptual model developed prior to mathematical formulation addresses waste-to-technology compatibility and HW processing residues to assure applicability of the model to real-life HWMSs. The suggested model was used in a case study targeting HWMS in Turkey. Based on the proposed solution, it was possible to identify not only the transportation routes but also a set of information on HW handling facilities including the types, locations, capacities, and investment/operational cost. The HWMS of this study can be utilized both by public authorities and private sector investors for planning purposes. Highlights: A countrywide hazardous waste management model is conceptualized. The model considers routing and siting of hazardous waste facilities. The model addresses waste-to-technology compatibility. Transportation and facility cost in combination with population impact are included.