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Waste load allocation (WLA) is a policy-making framework that can simultaneously consider multiple objectives, such as equity, environmental violations, and economic efficiency. This study developed a WLA framework focusing on equitable perspective from Rawls' theory of justice. For this purpose, the optimal scenarios were generated by calling the Streeter-Phelps equations for river simulation with the NSGA-II optimization algorithm. In addition, equity indicators were used to improve the optimization problem based on three objective functions simultaneously: minimizing treatment costs, environmental violation, and inequity. COPRAS method was also used to select the optimized WLA scenarios. Results showed that the optimal WLA scenario based on equity can improve the practicability of WLA in river system by deriving reasonably cost-effective and environmental friendly solutions with about 70% BOD removal for polluters in Haraz basin, northern Iran. Therefore, based on three dimensional multi-objectives WLA, equity could show its potential on highlighting optimal alternatives without extreme total cost or environmental violations. [ABSTRACT FROM AUTHOR]