Evaluation of the Effective Consequences on Urban Water and Wastewater Assets in the Face of Environmental Pollution: A Case Study of Hamedan City, Iran

Document Type : Original Research Paper

Authors

Department of Disasters Engineering, Education and Environmental Systems, Faculty of Environment, University of Tehran, Tehran, Iran.

10.22059/poll.2025.380915.2509

Abstract

In this study, with the aim of presenting an optimal pattern, the consequences affecting the water and wastewater assets of Hamedan City, Iran, in the face of environmental pollution were preliminarily evaluated using the SECA (Simultaneous Evaluation of Criteria and Alternatives) technique. This was done by preparing, distributing, and analyzing expert questionnaires, considering criteria such as "human consequence, physical and structural consequence, security consequence, economic consequence, environmental consequence, socio-political consequence, and functional-reputational consequence." The evaluation utilized software tools such as Google Earth Pro, LINGO 18.0, and ArcGIS. The initial results indicate that among the criteria for evaluating consequences, the environmental consequence with a weight of 0.2286, the human consequence with a weight of 0.1467, and the socio-political consequence with a weight of 0.1425 have taken the first to third priorities, respectively. Among the water and wastewater assets of the studied city, based on sensitivity, water treatment plants, surface water resources, and water pumping stations ranked first to third, respectively. Finally, to validate the applied pattern, the consequences affecting the assets in the face of environmental pollution were re-evaluated based on the weights of the obtained criteria and expert feedback. The results indicated that the city's water treatment plants, with a score of 3.6255, were identified as the priority asset. The alignment of these results with the initial evaluation confirms the accuracy and validity of the applied pattern. According to the definition of consequence levels, the priority asset falls into the "high" category, necessitating the implementation of control measures.

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