علي جمالي

Efficient waste management requires precise and reliable data for material flow analysis, yet a critical challenge in this field is the high level of uncertainty in data and waste flow tracking processes. Such uncertainties can significantly impact the accuracy of models and management decisions. This study aims to reduce these uncertainties by selecting the Aradkooh Waste Management Complex, one of the largest and most complex waste management sites in Iran, as a case study. Material flow analysis in this site is challenging due to the high volume of waste and the intricacies of disposal processes. In this research, STAN software was utilized as a powerful tool to analyze material flows, providing a comprehensive understanding of the site's material dynamics and addressing the uncertainties in the data. After modeling the waste management system using STAN, seven different scenarios (S1-1, S1-2, S1-3, S2-1, S2-2, S2-3, S3) for weighbridge placement were developed and accurately modeled to eva‎luate their effectiveness in reducing uncertainties. The results showed that scenario S3 exhibited the highest efficiency in uncertainty reduction; however, its high implementation cost posed practical challenges. Conversely, scenario S2-3 demonstrated comparable effectiveness to S3 but with lower costs, making it a cost-effective alternative. These findings underscore the importance of scenario-based decision-making and achieving a balance between efficiency and cost in environmental projects. This study highlights the capability of STAN software to improve waste management practices in sites similar to Aradkooh, offering valuable insights for reducing uncertainties and enhancing the efficiency of material flow management in waste management centers.

ارزيابي جريان مواد , نرم افزار STAN , آرادكوه , مديريت پسماند

Material Flow Analysis , STAN , Aradkouh , Solid Waste Management

Ali Jamali

Dr Majid Hosseinzadeh