水量預報 的英文怎麼說

中文拼音 [shuǐliángyùbào]
水量預報 英文
water yield predication
  • 水 : 名詞1 （由兩個氫原子和一個氧原子結合而成的液體） water 2 （河流） river 3 （指江、河、湖、海、洋...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 報 : Ⅰ動詞1 （告知; 報告） report; declare; announce 2 （回答） reply; respond; reciprocate 3 （答謝）...
  • 水量 : water yield; the yield of water水量計[表] watermeter; 水量平衡 water balance; 水量收支 water budget
  • 預報 : [訊] forecast; forecasting; prediction
  1. Also a refined - pulp quality predictive model, with specific energy, specific load as the model inputs, and beating degree, wet weight as the model outputs, is presented. simulation results show that the models can be acted as theoretical bases for the automatic control of high - consistence pulp refining process

    即，建立了以原漿流量、白水流量、盤磨機功率為輸入變量，比能量、比負荷、濃縮機漿位為輸出變量的動態模型，以及基於比能量、比負荷的成漿質量預報模型。
  2. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先，系統分析了影響黃河水位的水沙因素，及僅用水沙因素有效研究水位的可行性，並按變量對應思想採集它們的相應數據；其次，由於相應水位過程數據中含極強的非線性關系，本論文經細致的理論分析，將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合，提出了能有效實現這類數據高精度擬合的分層篩選法，並改進了統計學中多因子（三個以上）方差分析法；再次，將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合，實現了這一典型非線性關系的高精度擬合，各年汛期上下游相應洪水位過程的擬合誤差都較小；最後，明確黃河下游含沙量對水位的主要影響方式，即含沙量主要是與其它因素聯合對水位作用；另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。
  3. A diagnostic equation for n0s, the y - intercept of the assumed exponential snow distribution, is allowed to vary with snow mixing ratio. the scheme assumes a marshall - palmer distribution law for rain, snow and graupel with a constant intercept parameter n0

    該方案將雪的m ? p分佈譜參數截距n _ （ os ）表達為雪的比含水量的函數，建立了n _ （ os ）的診斷預報方程。
  4. According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain

    根據《隨機水文學》理論中的時間序列分析法，建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型；通過分析降雨隨機特性，選定季節性時序隨機模型，建立了適合三江平原井灌水稻降雨預報的月平均降雨模型；根據最小二乘法，計算出幾種常用水分生產函數中的敏感指數及敏感系數，進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律；本文提出遺傳動態規劃法（ raga ? dp ） ，即採用改進的基於實數編碼的加速遺傳演算法（ realcodingbasedacceleratinggeneticalgorithm ，簡稱raga ）與動態規劃法（ dpsa ）相結合，推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。
  5. Research of small watershed water erosion prediction model based on svm

    基於支持向量機的小流域水蝕預報模型研究
  6. Measurements of rainfall and water loss as a result of evaporation are essential for various applications in connection with water resources planning, drainage design, water quality control, reservoir design and operation, irrigation as well as hydrological forecasting and flood control

    量度雨量及因蒸發作用而引致水的損耗非常重要，所得結果可以應用於水利資源策劃排水系統設計水質控制水塘設計和管理灌溉水文預報及防洪等。
  7. Hydrometeorology is concerned with the study of these atmospheric processes which affect the water resources of the earth and which are of interest to the meteorologist and the hydrological engineer. measurements of rainfall and water loss as a result of evaporation are essential for various applications in connection with water resources planning, drainage design, water quality control, reservoir design and operation, irrigation as well as hydrological forecasting and flood control

    水文氣象的研究范圍包括所有影響地球水利資源而氣象學家和水文工程師又有共同興趣的大氣過程。量度雨量及因蒸發作用而引致水的損耗非常重要，所得結果可以應用於水利資源策劃、排水系統設計、水質控制、水塘設計和管理、灌溉、水文預報及防洪等。
  8. The results show that selection of radiation parameterization schemes has distinct impact on the simulated results. the results simulated by the group with detailed long - wave and short - wave radiation parameterization scheme reflect plateau terrain and typhoon, cloud, subtropical high, trough / ridge more particularly and reasonably ; intensity of typhoon rainfall center is improved 1 / 3, there have been some improvements on intensity of the north heavy snow, more approach the observation

    通過對2002年第16號臺風個例和2002年12月19 24日降雪個例的模擬，結果表明：選用不同的輻射參數化方案對模擬結果具有明顯的影響，較詳細的長短波輻射參數化方案組合模擬的各種輻射量和雲對地形以及臺風、副高和槽脊等天氣形勢的反映更加細致合理；降水的預報也更加接近實況。
  9. The text lays particular emphasis on the evaluation of the groundwater, involves the groundwater type, groundwater chemical characteristics, the amount of the water resource and the natural groundwater amount by using the method of numerical model after the calculation of the parameters, such as transmissivity, the coefficient of the flexible water release, with the data of the pumping test in the research zone

    採用visualmodflow地下水軟體進行數學模型的求解。在地下水流數學模型識別和驗證后，設計了兩種方案進行了地下水的預報。應用同位素分餾原理和質量守恆定律，確定不同含水層中地下水的成因及形成條件，建立本研究區地下水系統的水循環模式;採用模糊綜合評價方法對研究區內的水質進行了評價。
  10. The effect of model horizontal resolution on quantitative precipitation forecast for meiyu front torrential rainfall

    模式水平解析度對梅雨鋒降水定量預報的影響
  11. Decision support system of water requirement forecast for dryland crop

    旱地作物需水量預報決策輔助系統
  12. 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。
  13. The circumstance calculated by mm5 forecast system is very near compared with the real one ;. the physical quantity and precipitation calculated by mm5 forecast system should be well used in work ; the area and numeric of the precipitation forecasted by mm5 have some difference compared with the fact, that needs more some more work to make progress

    該模式對這次冷渦暴雨的形勢模擬與實際形勢場極其接近，是一個成功的應用範例； （ 5 ） 、 mm5模式對各種物理量和降水場的模擬結果與實況接近，在精細化的定點定量預報實踐中具有很好的參考價值； （ 6 ） 、 mm5模式預報降水范圍和強度與實況還有一定偏差，需要進一步深入的工作來改進。
  14. Expert system is mainly used to analyzing the result of the silicon content prediction anns and giving blast operators some reasonable operating guidance which can insure the silicon content is in a certain range. in order to make the communication between the operators and software, a slinky and appropriate interface was also developed

    專家系統模塊主要是利用所收集的大量的專家知識對鐵水硅含量預報神經網路的輸出結果進行分析，根據各個參數之間的關系進行計算，並向高爐操作者提出定性的操作指導和定量的操作建議，以確保高爐鐵水硅含量保持在正常范圍。
  15. Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors, 21 500hpa height predictors ) with over 0. 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field, and selecting the high relative principal components, at the same time, a new approach of constructing ann learning matrix is developed. predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples

    本文通過對廣西北部6月平均降水量（預報量）同北半球月平均500hpa高度場和北太平洋月平均海溫場進行相關普查，選取了前期36個同預報量相關顯著水平達到0 . 05以上的預報因子（ 15個海溫場預報因子， 21個高度場預報因子） ，並運用自然正交函數展開方法對這36個前期預報因子展開，取其中同預報量相關程度高的主成分，結合人工神經網路技術，提出了一種新的構造人工神經網路學習矩陣的方法，建立了一種新的短期氣候預測模型。
  16. After gps pw data assimulation, the initial humidity field can be reanalyzed while the initial temperature, pressure and wind fields also being modified. although mm5 with the cressman objective analysis predicts the first 6h accumulated precipitation more accurately than 3dvar of gps pw data, vice versa for 6 - 18 h accumulated precipitation

    在模式積分的前6小時， cressman客觀分析試驗對累計降水量預報優于gps可降水量資料三維變分同化試驗對累積降水量預報，但在模式積分的6一18小時gps可降水量三維變分同化試驗對累計降水的預報卻優于cressman客觀分析試驗。
  17. The predicting and controlling model of silicon content in hot metal tapped from blast furnace is composed of following components or sub - models : anns prediction model, expert model and interface

    高爐鐵水硅含量預報、控制神經網路、專家系統主要由神經網路模塊、專家系統模塊以及人機介面所組成。
  18. Nudging assimulation of pw can improve prediction slightly, and increasing nudging gain coefficient play a little role in improving prediction

    Gps可降水量資料的nudging同化對可降水量預報改善較小，並且nudging系數的增加對可降水量預報效果的改善程度影響不大。
  19. Neural networks used in prediction of si content in molten iron of blast furnace

    神經網路方法在高爐鐵水硅含量預報中的應用
  20. The assimilation experimentation results indicate that after assimilating radar wind field of small spatial scale, mesoscale and small - scale precipitation prediction can be improved and mesoscale and small - scale information which ca n ' t appear by tradition datum can be gained, which is valuable to analyze the mesoscale and small - scale system structure ; the effect assimilating radar humidity field is n ' t obvious, which is perhaps correlation with precipitation types and assimilating time. the results also show that adding radar humidity field to initial condition at initial time can supply the gap of the regular data in reflecting the mesoscale and small - scale systems, strengthen the humidity in the initial field, and eventually help to improve precipitation. the experiment of assimilating radar wind field and radar humility field at the same time shows that vapor transportation and local vapor divergence play more significant role in causing excessively heavy rain than only high wet center

    同化試驗結果表明：同化空間解析度很高的雷達風場后，能改善中小尺度降水的預報效果，並且能夠得到常規觀測資料所不能得到的中小尺度信息，對分析中小尺度系統結構具有重要意義；同化雷達濕度場效果不明顯，可能與降水類型和同化時刻有關；而直接在初始時刻加入雷達濕度場，補充了常規資料在反映中小尺度系統方面的不足，增強了初始場中的水汽，有利於降水量的增加；同時同化雷達風場和雷達濕度場的試驗表明，水汽的輸送和局地的水汽輻合對于產生特大暴雨的貢獻遠大於僅有高濕中心的貢獻。
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