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Application of ANN Turbidity Model as A Gamming Tool

Explore the application of ANN turbidity model as a gaming tool in water management. Developed by Sujoy Roy, the model is calibrated using long-term simulated results and historical data. The exercise involves adjusting input variables and assessing turbidity performance. Future steps include improving accuracy, enhancing the gaming interface, and analyzing Delta Smelt movement prediction.

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Application of ANN Turbidity Model as A Gamming Tool

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  1. Application of ANN Turbidity Model as A Gamming Tool March 16, 2015 Chuching Wang, Ph.D., P.E. Metropolitan Water District of Southern California

  2. Delta ANN Turbidity Model • Developed by Sujoy Roy of Tetra Tech and MWDSC. (2013/2014) • Paul Hutton • Chuching Wang • Calibrated using • Simulated long term model results • Observed historical data • Ease on input requirement

  3. Gamming Excercise • December 10, 2014, MWD Bay Delta Staff • Assumed Sacramento River hydrograph and turbidity. • Zero out San Joaquin River turbidity • Playing with various ranges of OMR index flow • Checked the turbidity performance at Prisoner’s Point.

  4. Scenario Notes • Input 1: 2012-13 historical • Input 2: Assumed 2014-15, no pumping cutback. • Input 3: Assumed 2014-15, -6000 cfs OMR index flow for 2-week. • Input 4: Assumed 2014-15, -3000 cfs OMR index flow for 2-week.

  5. Next Steps • Improve the ANN accuracy at certain key location. • Improve Gamming interphase. • Retrospective analysis of the 2014-15. • Further development on Delta Smelt movement prediction. • Future applications.

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