預報因子 的英文怎麼說

中文拼音 [yùbàoyīnzi]
預報因子 英文
forecaster
  • 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）...
  • 因 : Ⅰ動詞[書面語] （沿襲） follow; carry on Ⅱ介詞1 [書面語] （憑借; 根據） on the basis of; in accord...
  • 子 : 子Ⅰ名詞1 （兒子） son 2 （人的通稱） person 3 （古代特指有學問的男人） ancient title of respect f...
  • 預報 : [訊] forecast; forecasting; prediction
  1. Zhoushan is sea area which fertility is tiptop in our country. sea surface wind is important factor of influencing contrail of excursion oil and culturist so investigating sea surface wind of zhoushan and setting up numerical forecast model which fits this sea area can offer tool for study sea wind in this area and let us has a mensurable acquaintance ship of effect degree of physics factors which effect sea surface wind in zhoushan sea area and acquaint oneself with physic process

    而海面風是影響溢油油團漂移軌跡和養殖業的重要因素，因此，對舟山海域的海面風進行研究，建立適合此區域的數值預報模式，可為研究該區域海面風作用過程提供數值預報工具，使我們對近海區域海面風場作用中物理因子的影響程度有更定量的認識，並對物理過程和影響機制有更深刻地了解。
  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. On the base of summarizing and evaluating chinese soil erosion models, this paper brings forward future developing directions that the soil erosion models should pay attention to : ( 1 ) paying attention to the theory researches of soil erosion models, consummating from erosion factors basis erosion prediction to erosion processes quantity and theory researches, studying each erosion factor and its interaction impact on erosion processes, and sediment dispersion, transportation and deposition action on complex slopeland, as well as different catchments scales ; ( 2 ) reinforcing the study of gravitation erosion and cave erosion mechanism, and big and middle scale catchments erosion models ; and ( 3 ) making the best of advanced rs and gis technology, providing plentiful datum for erosion models researches, making and for soil erosion models checkout

    在總結和評價中國土壤侵蝕模型的基礎上，提出了今後土壤侵蝕模型應該注重的發展方向： （ 1 ）注重土壤侵蝕模型的理論研究，將從以侵蝕因子為基礎的侵蝕預報向侵蝕過程的量化研究和理論完善，研究各侵蝕因子及其交互作用對侵蝕過程的影響，泥沙在復雜坡面以及不同流域尺度間的分散、輸移和沉積作用； （ 2 ）加強對重力侵蝕、洞穴侵蝕機制的研究，加強對大中流域侵蝕模型的研究； （ 3 ）充分利用先進的rs 、 gis技術，為侵蝕模型的研究提供大量的數據源，以利於對土壤侵蝕模型的檢驗。
  4. The key atmospheric circulation factors and corresponding key periods, which were significantly related to incidence area rate anomaly of wheat stripe rust, were selected to establish forecasting model which can predict the incidence area rate anomaly of wheat stripe rust

    從這些值中選出與全國小麥條銹病發病面積率距平相關顯著的關鍵時段關鍵環流因子，建立了全國小麥條銹病發病面積率距平預報模型。
  5. The analysis of the meteorological and hydrological data shows that there is close correlation between the water level of the xijiang river and the upper reach water level and areal mean rainfall

    摘要根據氣象和水文資料，以上游面雨量、水位值為預報因子，以西江流域的梧州水位為預報量，發現預報因子與預報量有很好的相關性。
  6. Study of mid - to - long - term hydrological forecasting based on weather factors

    基於氣象因子的中長期水文預報方法研究
  7. The approaches establish a relationship between monthly precipitation abnormality and monthly circulation, soil moisture and temperature on the shallow and deep layers. the relationship is the precipitation diagnostic equation and its coefficients and dimensions are determined by using the observed data of huai river basin. then we select the main soil moisture and temperature attributing factors by the dimensional analysis to establish a forecasting equation of summer precipitation over huai river basin with the statistic approach

    通過將大氣中的熱量、水汽收支方程與一個簡化的兩層土壤溫度、濕度方程相結合，並依據月尺度大氣環流的演變特徵，推導出月降水距平與500hp月平均高度距平場、土壤深淺兩層溫、濕度的關系；利用臺站觀測資料，使用統計反演方法確定方程中各項的系數和量級，從而找出影響降水的主要土壤溫、濕因子；利用統計方法建立這些因子與淮河流域夏季降水異常之間的簡單線性預報方程，並對1992 - 2000年淮河流域夏季降水趨勢進行回報。
  8. Evidence suggests that the prognostic ability of the new model with high stability, when hidden nodes changing nearby input nodes and training times changing at the certain extent, is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information, properly utilizing the ability of ann self - adaptive learning and nonlinear mapping. but the linear regression technique only selects several predictors by the f value, many predictors information with high relative coefficients is not included. so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields

    進一步深入分析研究發現，本文提出的這種基於主成分的神經網路預報模型，預報精度明顯高於傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，並有效地利用了人工神經網路方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，並且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其餘預報因子的預報信息被舍棄。
  9. Aiming at the problem on taking no account of relation of forecast factors and instability of regression results caused by selected factors with no orthonormalization which would bring out error to computational results, monadic linear regression analysis and nature orthonormalization function as well as stepwise regression were integrated to establish forecast models of cold in nanjing and upper respiratory tract infection, cerebral hemorrhage as well as cerebral infarction in jinhua

    過去在選擇預報因子時沒有考慮預報因子間的相關性，挑選的預報因子由於非正交使回歸計算的結果不穩定，給計算帶來一定的誤差。針對這一問題，文章將一元線性回歸分析、自然正交函數法（ eof ）和逐步回歸方法結合起來，建立了南京感冒以及金華的上呼吸道感染、腦出血和腦梗塞的發病指數預報模型。並將模型結果與逐步回歸法建立的模型進行比較。
  10. By using predictor puffing method, this paper calculated and analyzed the anomalies of 74 atmospheric circulation characteristics during various periods which were puffed from last january to april of this year

    摘要選擇上年1月至當年4月為預報時段，採用預報因子膨化技術，將大氣環流特徵量按月依次組合成不同時段，計算出不同膨化時段的74項大氣環流特徵量距平值。
  11. In contrast with forecasting model without predictor puffing, the prediction accuracy of forecasting model is greatly enhanced

    與未採用因子膨化技術建立的預報模型相比，模型的預報準確率有顯著的提高。
  12. Contrast experiment shows that multi - time factors can improve the quality of prediction equations and make effective rate reach 90. 0 percents and reduce sum of residual squares 23. 8 percents meanly

    對比試驗表明，多時刻因子可改善大多數預報方程的質量，有效率達90 . 0 % ；多時刻因子使預報誤差明顯減小，預報方程的殘差平方和平均減少23 . 8 % 。
  13. By use of correlation analyzing of temperature in heilongjiang province and previous general circulation or surface temperature, provision predictors are chosen to develop a predictive relationship of temperature anomaly in january or july of heilongjiang province with the theory of screening regression

    通過對黑龍江氣溫與前期環流場和下墊面溫度的相關分析，選取候選因子，用逐步回歸的原理進一步篩選，建立黑龍江1月、 7月月平均溫度距平的預報方程。
  14. In the first place, the study processed data of remote sensing and non - remote sensing to be digital, vector, raster and imagery geocode, established geographic database of soil erosion, and calculated elements " pixel maps of soil erosion. secondly, by using model builder of arcview to establish dynamic survey model of soil losses in longchuan river drainage basin. at last, to obtain maps of status & the forecast maps for soil conservation

    首先通過遙感與非遙感資料的數字化、矢柵化及圖形圖像地理配準，建立了水土流失地理數據庫，並運算出水土流失各因子像元圖；在此基礎上，憑借arcview子模塊modelbuilder的支撐，建立龍川江流域水土流失動態監測模型；最後運行該模型獲取水土流失現狀圖和防治預報圖等結果圖件，完成了研究區1998 、 1999年水土流失定量遙感監測任務。
  15. The northeast japan is the " key region " in which the soohpa height fields of the preceding winter influence spring rainfall in the south shandong province, hence it can

    冬季日本東北部500hpa高度場升高（降低） ，春季山東南部降水偏多（少） ，因此冬季日本東北部50ohpa高度場可以作為預測山東春季降水的前期預報因子。
  16. By analyzing the rainfall data of 20 hydrological stations in the miyun reservoir basin from 1970 to 1993, the relationship between 45 heavy rainfall events and synoptic situations, nwf outputs, the forecast indexes and synoptic patterns are put forward, and 24 - hour heavy rain forecast equations of june, july, august in the miyun reservoir basin are developed

    通過整理1970 - 1993年24年間水庫流域內20個水文站雨量資料，分析45個暴雨天氣樣本與歷史天氣形勢和數值預報產品的關系，篩選出預報指標和預報因子，使用數值預報產品的解釋應用方法，根據天氣環流形勢的分型，分別組建了6 、 7 、 8月每個月份的未來24小時暴雨天氣預報方程。
  17. 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。
  18. Fourthly, in this paper, we integrate theories of time series analysis and principles of climate dynamics, research mechanism of the evolving process of air temperature, combine physical analysis with statistical analysis of stochastic process, select forecast factors and construct the mathematical model framework of nonlinear time series according with the evolving feature of air temperature

    4綜合隨機過程的統計理論與氣候動力學原理，研究短期氣溫演變過程的機理，將物理成因分析與隨機過程的統計分析結合起來，選擇預報因子，建立符合氣溫演變特徵的非線性時空序列的數學模型框架。
  19. The prediction of disastrous space weather is a hot topi c among solar - terrestrial physics and high technological fields. we propose that the future forecasting of the physical conditions that the violent solar disturb ance causes at the earth by propagating in solar wind depends heavily on the num erical method. this paper analyses the existing problems we are facing in the num erical prediction of disastrous disturbance events in solar - terrestrial space, an d then gives some suggestions for future study. for such a purpose, a six step sol ution method is developed to deal with one - dimensional symmetric interplanetary shock dynamics. it should be point out that that initialization of fully self - con sistent 3 - d mhd codes considering the solar - interplanetary - geomagnetic coupled r elations with initial - boundary values at 1r of the global output of solar pl asma and magnetic field using available solar observations is an essential requi rement in space weather operational codes for forecasting purposes

    空間災害性天氣的預報是日地物理學界及高科技領域的熱門話題.未來預測太陽劇烈擾動所造成的行星際風暴到達地球空間的狀態勢必藉助于數值方法.淺析了空間災害性擾動事件數值預報存在的問題及未來設想，針對這一目的對一維球對稱問題提出了處理行星際激波的6步求解方法，指出未來空間災害性擾動事件預報模式應是一個基於三維的以真實太陽風為背景自洽建立起來的、以太陽等離子體輸出及磁場全球結構為初邊值、太陽、行星際、地磁因果耦合模式
  20. New york ( reuters health ) jun 21 - a serum marker component called " slak " is an independent prognostic factor in patients with lung adenocarcinoma, a japanese team of researchers report

    一個日本研究團隊報道，被稱為「 slak 」的一個血清標記物成分是肺腺癌的一個獨立預后因子。
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