Optimization of landfill gas generation based on a modified first-order decay model: a case study in the province of Quebec, Canada

Abstract Landfills will likely remain an essential part of integrated solid waste management systems in many developed and developing countries for the foreseeable future. Further improvements are required to model generated gas from landfills. The literature has not addressed detailed characterization landfill (LFG) modeling by a first-order decay such as LandGEM while using genetic algorithm. Additionally, little been done regarding H 2 S generation modeling. This paper uses algorithm independently fit parameters CH 4 based on modified model. In case modeling, biodegradable organic (OW) was segregated into food waste, yard paper, wood. addition optimizing OW fractions, key OW, potential ( $${L}_{0}$$ L 0 ) rate $${k}_{C{H}_{4}}$$ k C H 4 ), were determined different periods landfill’s life. Similarly, construction demolition (CD) classified fines (FCD) bulky materials (BCD), $${S}_{0}$$ S $${k}_{{H}_{2}S}$$ 2 FCD BCD determined. LFG collection data site province Quebec, Canada, used validate A range scenarios analyzed validated model, including fourteen (two benchmark twelve optimizing) two results showed that differentiation more types improves accuracy . Moreover, within decade-long lifetime landfill, strategies change, requiring assumptions Also, work importance considering how sectors filled over time. Finally, scenario scenarios, which assumed four types, constant three periodic six sectors, had lowest residual sum squares (RSS) value. For both with or without separate fits BCD, predicted well very similar RSS could improve