hydrologic forecasting 中文意思是什麼
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By using the yearly data of water - sand that is gotten by a couple of adjacent hydrologic station in yellow river lower reaches, this paper makes use of kinds of math methods looking for the nonlinear disturbance among all of the factors, and introduces the thinking of analysis, logic, conclusion, inference, and random to nonlinear hydrologic forecasting. it realizes the valid approximation of the water level process in erodible - bed channel
本文選擇黃河下游兩對相鄰水文站多年水沙資料，藉助多種數學方法尋找其中的非線性擾動項，將隨機數學中分析、邏輯、歸納、演繹、隨機的思考問題方式引入到非線性水文預報中，實現沖淤河道相應水位過程的有效擬合。 -
Time series neural network model for hydrologic forecasting
水文預報的時間序列神經網路模型 -
Application of matlab softwar in mid and long term hydrologic forecasting
軟體在中長期水文預報中的應用 -
Application of neural network technique in medium and long - term hydrologic forecasting
神經網路技術在水文系列中長期預報中的應用 -
The hydrologic forecasting is the basis of the economic dispatching of multi - reservoir system. precise prediction is the key to ensure the success of optimal dispatching
徑流預測作為水電站優化調度的基礎，其預報結果的準確與否，將成為水電站的最優調度方式能否發揮作用的關鍵。 -
In light of the problem of the precision of flood forecasting being influenced by the data errors of rainfall and water stage caused by the failures of the communication and the relevant equipments of the gauging stations concerned, the techniques for the automatic hydrologic data collection and transmission system such as data extraction, examination of rationality, error identification, rainfall interpolation and the intelligent error correction are studied based on the analysis on the cause of the errors occurred in the system
摘要針對流域洪水預報和水庫調度中雨量水位站點可能因通信和設備故障引起雨量和水位數據錯誤，而影響洪水預報精度的問題，通過分析水文遙測系統雨水情信息錯誤的原因，研究水文遙測系統雨水情數據的提取、合理性檢驗、錯誤識別方法、雨量插補、數據的智能化糾錯處理等技術。 -
This thesis, based on the practical engineering background of cascaded reservoir along wasi river, builds a hydrologic forecasting model which can reflect the actual condition of the real operation process, with detailed analysis, generalization and idealization
本文結合四川省境內的瓦斯河梯級水庫的工程實際，在對其進行較為深入的分析和模型化的基礎上，建立了反映實際問題特點的梯級水電站月徑流預測模型。 -
The results of application have showed that the used ann model is successful and effective in the hydrologic forecasting of the manwan reservoir
實際應用表明，使用該結構的模型在實際預報過程中取得了良好的效果。 -
The simulation result shows that the first three kinds of algorithms cannot achieve accurate result, producing large error on the data that are out of the historic record. while the algorithm bp - nn based on local modeling can obtain comparatively precise results and has higher predicting capability for hydrologic forecasting
而用基於localmodeling的bp神經網路模型對該流域作月徑流預測時，所得到的預測值相對較準確，對于月徑流的預測具有較高的模擬預報能力。
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