Scientific forecasting water yield of mine is of great significance to the safety production of mine and the colligated using of water resources. The paper established the forecasting model for water yield of mine, co...Scientific forecasting water yield of mine is of great significance to the safety production of mine and the colligated using of water resources. The paper established the forecasting model for water yield of mine, combining neural network with the partial least square method. Dealt with independent variables by the partial least square method, it can not only solve the relationship between independent variables but also reduce the input dimensions in neural network model, and then use the neural network which can solve the non-linear problem better. The result of an example shows that the prediction has higher precision in forecasting and fitting.展开更多
On the basis of discussion about hydro-geologic condition of geothermal water in Xiaoquan area, Chongqing, a three-dimensional mathematical model was established. The Modflow(a modular three-dimensional finite-differe...On the basis of discussion about hydro-geologic condition of geothermal water in Xiaoquan area, Chongqing, a three-dimensional mathematical model was established. The Modflow(a modular three-dimensional finite-difference groundwater model) software was adopted to simulate the geothermal water, and quantificational study on sustainable exploration of the geothermal water in Xiaoquan area was carried out. Firstly, a mathe- matical model was set up. Then, the geothermal water was simulated by Modflow software, and the mathematical model was identified. The simulative water level was compared with the actual water level and the mathematical model was calibrated. The feasibility of appli- cation of this mathematical model to studying underground geothermal water was proved that the simulative water level is approximated to actual one, and a right mathematical model was obtained. This mathematical model was used to simulate geothermal water under different exploitation conditions, at last the yields of sustainable exploitation includ- ing the maximum yield and the optimal yield were determined.展开更多
基金Supported by "863" Program of P. R. China(2002AA2Z4291)
文摘Scientific forecasting water yield of mine is of great significance to the safety production of mine and the colligated using of water resources. The paper established the forecasting model for water yield of mine, combining neural network with the partial least square method. Dealt with independent variables by the partial least square method, it can not only solve the relationship between independent variables but also reduce the input dimensions in neural network model, and then use the neural network which can solve the non-linear problem better. The result of an example shows that the prediction has higher precision in forecasting and fitting.
文摘On the basis of discussion about hydro-geologic condition of geothermal water in Xiaoquan area, Chongqing, a three-dimensional mathematical model was established. The Modflow(a modular three-dimensional finite-difference groundwater model) software was adopted to simulate the geothermal water, and quantificational study on sustainable exploration of the geothermal water in Xiaoquan area was carried out. Firstly, a mathe- matical model was set up. Then, the geothermal water was simulated by Modflow software, and the mathematical model was identified. The simulative water level was compared with the actual water level and the mathematical model was calibrated. The feasibility of appli- cation of this mathematical model to studying underground geothermal water was proved that the simulative water level is approximated to actual one, and a right mathematical model was obtained. This mathematical model was used to simulate geothermal water under different exploitation conditions, at last the yields of sustainable exploitation includ- ing the maximum yield and the optimal yield were determined.
