flood prediction 中文意思是什麼

flood prediction 解釋
洪水預報
  • flood : n 1 洪水，水災。2 溢流，漲水，潮水最高點，泛濫，洶涌。3 〈詩〉河，湖，海。4 充溢，豐富；大量，一...
  • prediction : n. 1. 預言，預告。2. 被預言的事物。3. 【氣象學】預測，預報。
  1. Abstract : this paper an outline of the national fund project, bridges " s safety prediction and behavior simulation under the multi - phase coupling actions by flood water. the authors approach coupling action models among solid, liquid and gas states, while discussing bridge rupture features under these coupling actins. as one important problem of the project, physical and simulation model are discussed too in the paper. all the discussion in the paper can be a guide to deep research of the project

    文摘:本文系國家自然科學基金資助項目《橋梁抗禦洪災異相耦合破壞作用的安全性預測與模擬》研究綱要的縮影，筆者對災害伴生過程中各物相（固態、液態、氣態）之間耦合作用形態及對橋梁破壞性認識，以及對耦合作用物理模型、模擬模型的初步探討，以期為該項目研究的展開和向縱深推進提供借鑒
  2. The eni of el nino events is expressed by using differences of sea surface temperature in the area of equatorial east pacific 010s, 90180w. based on eni s definition, 25 el nino events and 26 la nina events from 1870 to 2000 are defined. and the starting and ending time of 1997 s strong el nino event is predicted six months ahead of the event by using eni s three periodical overlapping prediction method. the prediction offers great support to the accurate prediction of the flush flood occurred along nenjiang river in 1998

    使用赤道東太平洋010s ， 90180w海水表面溫度sst距平值表徵厄爾尼諾拉尼娜事件指數eni 。根據eni定義出1870 - 2000年期間25次厄爾尼諾事件和26次拉尼娜事件，採用eni三周期疊加預報模式提前6個月預測出1997年強厄爾尼諾事件的開始和結束時間，為較準確預測出1998年嫩江特大洪水提供了預報依據。
  3. The key objectives of the workshop were to : provide an overview of flash flood prediction capabilities ; identify weak links in establishing operational flash flood warning systems and the ways to fill these gaps ; showcase best practices and case studies ; share knowledge, tools and technology ; present project briefs for establishing or improving flash flood forecasting services ; and open dialogue with donor and finance organizations

    工作坊的主要目的為： i檢視現今暴洪預報的能力ii辨識業務暴洪警報系統的弱點和研究改善方法iii展示成功的運作模式和案例iv分享知識工具和科技v為建立或改善暴洪預報服務匯報和倡議計劃vi與資助及撥款機構展開對話。
  4. Lai, senior scientific officer in charge of forecast systems development at the observatory, gave an invited lecture on " applications of nwp numerical weather prediction and radar - based qpf quantitative precipitation forecast techniques for flash flood and landslip warnings in hong kong " in the session on " emerging technology " on the first day of the workshop

    負責拓展天文臺預報系統的高級科學主任黎守德先生在工作坊首天的先進科技環節中發表了特邀演講，題目是數值天氣預報和以雷達為基礎的定量降雨預報技術在香港暴洪和山泥傾瀉警告的應用。
  5. Flood prediction scheme and flood control countermeasure for nanliujiang river

    南流江洪水預報方案與防洪減災對策
  6. The dissertation focus on the main conflict of flow and sediment change, by analyzing the flow and sediment features, and change in rivercourse of typical period in histry, collecting the data of riverbed change. according to the flow and sediment change condition, combining the existed water works, and based on the results of former researches, the study are conducted on the law of flow state change by comparing rivercourse conditions before and after the completion of sanmenxia project, which may provide some idea for flow state change when xiaolangdi project completed and put into operation and some basic clue for the prediction of variation trend of river section from tiexie to shendi, from shendi to tieqiao near zhengzhou, from tieqiao near zhengzhou to dongbatou, from dongbatou to gaocun and so on in the year 2010 and the period 2010 to 2020. the result may provide some reference for flood control of these wangdering river sections, and some guidelines for planning of water projects and arrangement of project sequence

    本課題緊緊抓住小浪底水庫運用后水沙變化這一主要矛盾，通過分析研究以往典型時期的水沙特點和河道演變特點，收集分析河床邊界條件變化資料，小浪底水庫運用后水沙資料變化，結合現有河道整治工程建設情況，總結前人的研究成果，重點研究三門峽水庫運用後下遊河道河勢變化的規律和特點，探索小浪底水庫運用後下遊河勢變化情況，分析預測游蕩性河道鐵謝至神堤、神堤至鄭州鐵橋、鄭州鐵橋至東壩頭、東壩頭至高村等各個河段在2010年， 2010年至2020年期間的河勢變化趨勢，為分析游蕩性河段的防洪形勢，指導河道整治工程建設的規劃和工程安排提供決策參考和依據。
  7. The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability

    （ 3 ）運用線性回歸預報方程和三種人工神經網路模型對福建汛期旱澇進行預測的實驗表明： bp 、徑向基（ rbf ）和elman這三種人工神經網路模型在歷史樣本擬合精度上、獨立樣本檢驗結果和網路模型的實際預測能力上都明顯優于傳統的線性回歸方法。
  8. Based on analyzing discharge data in guide, xunhua, tongren hydrologic station and river course character, propagation time of different discharge in different river course is presented, and prediction period of interval flood, main stream flood during construction and operation period are acquired

    通過對貴德、循化、同仁水文站流量資料以及河道特性的分析研究，得出不同流量在不同河道上的傳播時間，歸納出區間洪水和幹流洪水在施工期和運行期的預見期。
  9. The critical rainfall is one of the important parameters of prediction, forecasting and early warning on mountain flood disasters

    摘要臨界雨量是進行山洪災害預測、預報和預警的重要參數之一。
  10. Based on the agent prediction theory presented by professor s y chen, a nonlinear agent combination forecast model was set up through combining the fuzzy set theory, the neural network theory and the genetic algorithm, and this model was applied to the forecast of ice flood in the yellow river

    摘要在現有智慧預測理論的基礎上，將模糊集理論、神經網路理論和遺傳演算法相結合，建立了非線性智慧組合預測模型，並應用於黃河?汛預測中。
  11. The prediction period of flood forecast is decided by the flood propagation time to a great extent, and its shorter or longer play an important role in decision of construction scheme during flood period

    洪水預報的預見期主要由水量傳播時間決定，預見期的長短對施工渡汛方案的制定有決定性作用。
  12. In this paper, a set of medium - and - long - range hydrologic forecast models were established for predicting water regime in shanghai, including three hydrological series, annual rainfall and rainfall during flood season for one representative station and annual maximum water tide level at huang - pu park. the prediction models includes two parts. one is quantitative ones which are mainly studied in the paper, including ar ( p ), gm ( l, l ), modified gm ( 1, 1 ) and threshold ar modeling ; the other is markov chain qualitative modeling

    研究分兩個方面，一是定量預測，是本論文的主要研究內容，共建立了四個預測模型，分別是ar （ p ）模型、 gm （ 1 ， 1 ）模型、改進gm （ 1 ， 1 ）模型及tar模型；其二是建立了馬爾柯夫定性預測模型，給出分級預測結果。
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