forecasting runoff 中文意思是什麼
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Cuntan station of the yangtze river annual runoff forecasting with set pair analysis method
集對分析法在長江寸灘站年徑流預測中的應用 -
This paper presents a forecasting model of runoff to wuyandong subterranean stream system by bp ann based on the data of precipitation and flux in luota, west hunan
摘要採用湖南洛塔地區屋檐洞地下河系統降水徑流資料訓練bp人工神經網路，建立了該系統的徑流預測模型。 -
Based on the forecasting theory of the optimization weighted array, an optimization weighted array model with a runoff response linear model and a time sequential model is developed to predict daily runoff, and the optimal weighting coefficients are derived by the least square method
摘要根據最優加權組合預測原理，建立了徑流響應線性模型和時間序列模型的優化加權組合模型，以預測日徑流，依據最小二乘法原理確定其優化加權系數。 -
Following the requirement of the reservoir operation section of north - west electricity management bureau in developing a 10 day runoff forecasting scheme and considering the situation of no suitable forecasting model to serve the purpose, this thesis, from ge shouxi ' s and wmo ' s point, defined a group of standards which are practicability, information ability which means the ability of a model to adopt information contend in observed data, extension capacity and robustness, being used for evaluating performance of a forecast model and with them makes a comparison among systematic models as multi - regression model, generalized tank model, neural network method and system model of genesis ( in short smg ), and one conceptual model, the xinganjiang model
針對西北電網水調部門提出的開發黃河上游徑流中長期預報軟體的任務，根據wmo和葛守西的總結，本論文利用四個系統模型和一個概念模型對黃河上游的龍、劉兩庫的汛期入庫徑流量進行旬徑流預報嘗試，並對所用的模型進行了泛化性、穩健性、模型結構、對水文信息反映和實用性及作中長期預報時何種系統模型的輸入最好作了比較研究，為龍、劉兩庫的徑流中期預報模型的採用提出了建議。 -
3. a new runoff forecasting model, based on the combination of genetic algorithm and neural network, is proposed, which integrate with the strongpoint of genetic algorithm and neural network. the accuracy and the speed of runoff forecasting are effectively improved that offered a new method for solving runoff forecasting problem
3 .提出了基於遺傳演算法的神經網路洪水流量的預測模型，該模型綜合遺傳演算法和神經網路的優點，有效地提高了預測精度和速度，為洪水流量預報問題提供了一種新的方法。 -
The main features in the study of flood forecasting and control system are as follows : ( 1 ) runoff generating and confluence theory and hydro - dynamic method are adopted to predict the water level of taihu lake and key nodes, the basin wide forecasting and control system with the function of real time correction has been first established in plain river network to meet the complicated flow conditions of taihu lake basin and to enhance the reliability of forecasting results ; ( 2 ) according to the rainfall in foreseen period multiple schemes can be made in the forecasting model and adjusted with time, which overcomes the errors caused by the uncertain rainfall in the foreseen period so as to make the forecasting results approach reality
本文所研究的預報調度系統有如下特點： （ 1 ）本系統採用產匯流理論和水動力學方法預報太湖及重要節點水位，首次在平原河網地區建立了具有實時校正功能的全流域預報調度系統。以適合太湖流域復雜的水力條件，增強預報的可靠性; （ 2 ）預報模型可以根據預見期降雨量進行多方案預報，並隨時間推移，可以實時進行調整，克服由於預見期降雨不確定引起的誤差，使預報結果更接近實際。 -
Measures were taken in structure designing to enlarge the discharging capacity of the spillway. in non - structure designing, the telemetric system was designed for forecasting the runoff and flood by monitoring the rainfall and water level of river station, and a warning system was designed to avoid downstream people from the dangerous situation of man - made flood
通過劃分取水口上游淤積、取水口淤積和流態、過機泥沙三個子系統，對三個方案的二維計算結果採用模糊集理論優化分析，結論是155方案，即洪水來臨時把庫水位降到64米方案為最優方案。 -
Annual runoff forecasting research based on the theory of cointegration and error correction model
基於協整與誤差修正機制的徑流預測模型研究 -
This paper analyzes the relationships among precipitation, runoff and crop water requirement, and investigates the effects of integrated drought - resistant technologies during whole growth period on the production of corn and millet in north part of shanxi province, based on the forecasting of long - term climate trend and the objective assessment of annual water supply and demand on farmlands
摘要通過對降水量、地面徑流量、作物需水量的綜合分析，結合山西省中長期天氣趨勢預報，在客觀定量地評價年度內農田水分盈虧指標的基礎上，實施集成旱作技術，對玉米和穀子進行全生育期農田管理，取得明顯效果。 -
Since the early nineties last century, machine learning techniques such as artificial neural networks ( ann ) have been attempted in flood forecast areas, such as rainfall - runoff modeling and stream flow forecasting, with some valuable experiences achieved. this paper presents several precise, reliable and practical flood forecast models based on some new style learning machines. their performances were valued in case studies
本文結合機器學習技術，從尋找易用的、準確的、可靠的、實用性強的洪水預報方法的角度出發，建立了多種基於新型的學習機器的洪水預報模型，並通過這些模型在實例中的表現，對它們的性能進行了評價，提出了幾種基於學習機器的洪水預報解決方案。 -
Therefore, the optimization of the forward electric quantity of entan hydropower station is mainly studied with the model of optimizing annual forward electric quantity constucted based on the forecasting inflow runoff to reservoir, the model is solved by using niche genetic algorithm and the results can be taken as the basis for the owner to sign the forward market contract
因此本文重點研究了二灘水電站的年期貨電量的優化問題，建立了年期貨電量優化模型，以基於徑流趨勢預測方法選用的入庫徑流量為依據，用小生境遺傳演算法對模型進行求解，計算結果可作為該公司簽訂期貨合同的依據。 -
In the topic 2, based on the theory of rain - runoff and soil water moving, a practical soil moisture forecasting model expressed by moisture index has been provided. the techniques of moisture forecasting and drought evaluating have been combined with the techniques of network and gis, and the detailed way and contents about establishing information system of moisture and drought extent have also been presented, and provide direct services for preventing and controlling drought
在墑情監測預報研究中，採用降雨產流預報和包氣帶水運移理論和方法，提出了由墑情預報指數表示的實用墑情預報模型，並把墑情預報技術、旱情災情評估技術與現代網路技術、 gis信息技術緊密結合，提出了建設墑情監測預報和抗旱減災信息系統的技術思路和具體內容。 -
Meanwhile, theory of artificial neural network ( ann ) is introduced into runoff forecasting of shuicehng reserior. artificial neural network model is established to apply to runoff forecasting
同時將人工神經網路模型引進到水城水庫的洪水預報中，建立了人工神經網路預報模型。 -
The main researches in this paper are as follows : 1 improve the performance of classical xin " anjiang model. 2 theory of artificial neural network ( ann ) is introduced into runoff forecasting of shuicehng reserior
本文的工作主要有以下幾方面：一、對傳統預報模型進行改進二、將人工神經網路引入到水城水庫洪水預報三、程序實現
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