Discharge Forecast of Underground Tunnel Systemby YuLin Li, Central Coal Mining Research Inst, Xian, China,
JinKai Li, Central Coal Mining Research Inst, Xian, China,
Abstract: An underground tunnel system can be discribed with linear system theory and its mathematical model can be made up according to its recharge and discharge conditions. But, because of so many affecting factors and the tunnel system's complexity, the forecast is not always accurate. In this paper, the Kalman Filter Method is used to filter out the influence of various stochastic factors, which makes the forecast more accurate and allows for a more timely forecast.
Subject Headings: Underground structures | Tunnels | Streamflow | Forecasting | Water flow | Water discharge | Water resources | Filters
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