Abstract
The prerequisite of designing a water quality monitoring system is providing river health assessment (RHA) which is a complex issue. To do so, the present paper creatively employed two risk-based multi-criteria decision-making methods (MCDMs) namely, ordered weighted averaging (OWA) and compromise programming (CP) to consider different risk potentials, and mitigate uncertainty associated with water quality management. Based on the results, methodologically, a mutual relationship was observed between ranking of CP and OWA. The neutral and optimistic priorities by OWA were completely corresponded with the CPs ranking with respect to p = 1. On the other hand, ascending values of p in CP represented more similarity to the pessimistic view-point of OWA. Technically, both the models illustrated that the most hazardous water quality conditions belonged to 'Taleghan-River' which was a pivotal finding because it is the most important river of the Taleghan basin. Overall, consideration of risk-attitudes in the computational process of decision-making provided different decision priorities. Due to the fact that Taleghan-River is one of the important sources of drinking water for Tehran, Karaj, and Qazvin cities, a strict decision making is recommended.
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