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In order to expedite the transition of the Yellow River Simulator into the operational phase and quickly make use of its positive role in the difficulties of water resources shortage, economic imbalance and ecological fragility in the Yellow River Basin, an intelligent calculation method system for the Yellow River Simulator had been thoroughly sorted out and implemented. Drawing upon the concept of intelligent computing, the vital importance of the Yellow River Simulator’s intelligent computing was articulated from the perspectives of data storage and preprocessing, simulation computing power, and swift responsiveness, as well as its significance in ecological conservation and management, efficient water resources utilization and disaster evaluation and mitigation. Based on the architectural framework of the Yellow River Simulator, four branches of intelligent computing methods, namely biomimetic intelligent computing, machine learning, fuzzy computing and intelligent computation were summarized in detail. Envisioning the transformative potential of intelligent computation methodologies for the Yellow River Simulator, this paper explored its huge application prospects in development planning, disaster management and resources allocation. [ABSTRACT FROM AUTHOR]