river bed process 中文意思是什麼

river bed process 解釋
河床過程
  • river : n 1 河，江。 Rriver Thames 或 the R Thames 泰晤士河； the Hudson R 〈美國〉哈得孫河。 the Rriver ...
  • bed : n 1 床，床鋪；床位，鋪；（動物的）窩；〈比喻〉安樂窩，墳墓；床墊；睡眠；就宿。2 婚姻，夫婦關系。3...
  • process : n 1 進行，經過；過程，歷程；作用。 2 處置，方法，步驟；加工處理，工藝程序，工序；製作法。3 【攝影...
  1. 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。
  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. It can work under a variety of dredging conditions with good benefit. because of the complexity in underwater soil, river bed condition and dredging process of a real dredging project, dredging conditions are very often unsteady

    在實際的疏浚作業過程中，由於水下土質、河床形態和作業過程的復雜性，嚴格地講，疏浚工況是非恆定的。
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