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Simulation of California’s Major Reservoirs Outflow Using Data Mining Technique

  • Author(s): Yang, Tiantian
  • Gao, Xiaogang
  • Sorooshian, Soroosh
  • et al.
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Abstract

Introduction: After a reservoir is built, there is a huge difference between the natural upstream inflows to the reservoirs and the controlled outflows from the reservoirs. The outflows are the most important water input to the downstream users for multiple purposes.

In order to simulate the complicated outflow decision making process, and extract the reservoir operation patterns for the California’s 12 major reservoirs, we build a reservoir outflow simulation tool, which incorporates one of the well-developed statistical and graphical models (decision regression and classification tree) in the field of data mining.

 

Faculty Advisor: Soroosh Sorooshian

 

The authors would like to thank the UC-Laboratory Fees Research Program (Award # 09-LR-116849-SORS), the NASA Decision Support System Program (Award # NNX09AO67G), the CDWR Seasonal Forecasting via Database Enhancement Program (DWR Agreement No.4600010378), NSF CyberSEES project (Award # CCF-1331915) and University of California, Irvine for their contribution and support.

 

Data Science Initiative, University of California Irvine, May 2015

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Data Science Initiative, University of California Irvine, May 2015

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