Waste Generation Modeling Using System Dynamics with Seasonal and Educational Considerations

Effective waste management is critical to environmental sustainability and public health. Various dynamics, such as seasonal changes education programs, influence solid generation, increasing the complexity of prediction. This important, proper prediction quantity necessary develop a sustainable system. In this study, municipal (MSW) examined in Regina, capital city Saskatchewan, Canada. A system dynamics (SD) model developed evaluate garbage recyclable generation behaviours Regina across four seasons. Three years landfill records (2016–2018) are considered analyze predict waste-generation trends. The effect various factors, gross domestic product (GDP), population, attainment on amount SD model. designed stock-flow diagram illustrate relationships between variables next three finding highlights importance awareness program effects accuracy modeling.