Greenhouse gas mitigation-induced rough-interval programming for municipal solid waste management.
A greenhouse gas (GHG) mitigation-induced rough-interval programming model is proposed in this study. Components of GHG emission and environmental pollution control are incorporated into the objective function and a series of relevant constraints. To explicitly examine more complexities existing in many parameters, rough intervals are also communicated into the modeling framework. The proposed model presents satisfactory capabilities in analyzing complicated interrelationships among municipal solid waste (MSW) management, climate-change impact, and environmental pollution control. It can also provide optimal allocation schemes and facilitate decision-makers regulating environmentally sustainable strategies. The developed model is then applied to a case study for demonstrating its applicability. Two representative scenarios (relatively representing two potential management policies that may be implemented in the future years) are considered. The results indicate that the developed model presents advantages in mitigating GHG emissions and the associated climate-change impact. The comparison between the GHG mitigation-induced model with and without rough-interval parameters is also investigated. Completely different solutions of the two models imply the significant impact of dual-uncertain information on the system, which can hardly be addressed through the existing optimization approaches.
Lu
Hongwei
H
Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada.
Huang
Guohe
G
Liu
Zhenfang
Z
He
Li
L
D002245:Carbon Dioxide; D002947:Cities; D017752:Greenhouse Effect; D008697:Methane; D008962:Models, Theoretical; D009569:Nitric Oxide; D012037:Refuse Disposal / Q000191:economics / Q000379:methods*
D002245:Carbon Dioxide; D009569:Nitric Oxide; D008697:Methane