Assessing and prioritizing the risks of urban waste landfill projects in Guilan province using ANP network analysis method, TOPSIS and Bow-tie software

Document Type : Original Article

Authors

1 PhD Student in Environment, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran

2 Associate Professor, Department of Environment, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran

3 Professor, Department of Environment, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran

4 Assistant Professor, Department of Environment, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran

Abstract

Often the decision to choose an appropriate technology for landfill management is one of the main problems in multi-criteria decision analysis. Assessing and prioritizing risks in various projects is a logical way to quantify the quantitative and qualitative risks and to examine the potential consequences of potential accidents on people, materials, equipment and the environment. In fact, this determines the efficiency of multi-criteria decision-making models and provides valuable data for decision-making in risk management, risk identification, control, improvement and modification of control systems and planning to respond to them. In addition, there are significant internal relationships and feedback between different dimensions and criteria. Therefore, it is necessary to conduct environmental risk assessment studies in order to identify the destructive factors and their effects on the environment, and provide a solution for proper control and management. In the present study, using Delphi techniques, network analysis process (ANP) and using TOPSIS technique, the most important risks of landfill projects in the construction and operation phases have been identified. The obtained results show that in the construction and operation phases, the highest probability of risk is related to the environmental sector and the lowest probability of risk is related to the socio-economic and cultural sector. Adverse events have been reported. Also, the results showed that the proposed model is effective in risk assessment in urban waste landfill projects. The results of this study provide new and significant concepts in the design and engineering of municipal landfills.

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References

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History

  • Receive Date: 28 November 2021
  • Revise Date: 25 December 2021
  • Accept Date: 20 March 2022

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