助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   预报时间尺度 的翻译结果: 查询用时:0.01秒
图标索引 在分类学科中查询
所有学科
地质学
更多类别查询

图标索引 历史查询
 

预报时间尺度
相关语句
  predictive time scope
     DISCUSSION ON LANDSLIDE DISASTER PREDICTIVE TIME SCOPE PROBLEMS
     滑坡灾害可预报时间尺度问题探讨
短句来源
     The attractor dimension and predictive time scope are evaluated according to evolution of near points on the phase space orbit versus time at the initial time in view of the nonlinear system attractor concept.
     本文从非线性系统的吸引子概念出发,根据相空间轨道上初始时刻相邻的点随时间的演化来估计吸引子的维数和可预报时间尺度
短句来源
  “预报时间尺度”译为未确定词的双语例句
     The average predictable time scale is 150-month.
     本文还讨论了黑子数月均值的可预报时间尺度,平均可预报时间尺度为150个月。
短句来源
     The average and the maximum predictable time scale is 8-month and 22-month, respectively.
     本文还讨论了10.7cm射电流量月均值的可预报时间尺度,平均可预报时间尺度为8个月,最大可预报时间尺度是22个月,
短句来源
     In thispaper, the sum of the positive indexes sum from λ_i>0λ_i=K=0. 110405 is acquired when the delayedtime τ=5, the parameter m=2,and the number of dimensions d_M=9. This is close tothe predictable time and also in good agreement with the result in the literature[2] bythe authors of the present work.
     本文得到在延滞时间τ=5、参数m=2、维数d_M=9的条件下,正指数之和∑λ_i=K=0.110405从而得到可预报时间尺度T=1/K≈9天。 与早期动力统计方法所得到的可预报时间接近,亦与作者在文献[2]中得到的结果十分吻合。
短句来源
     The time series data of recent 500 years in the middle and lower reaches of Huanghe andChangjiang river valleys are calculated in the chacol theory. This shows that the drought and waterlogging system is a chaotic one with the attractor dimension 3.3~4. 5 and the definite time scale ofpredictability 11~16 years.
     利用浑浊理论,计算长江流域和黄河流域中下游地区近500年旱涝时间序列资料表明,旱涝系统是一种浑沌系统,其吸引子维数约为3.3~4.5,确定性的可预报时间尺度约为11~16年。
短句来源
     By the characteristic analysis of slope displacementtime series,the largest Lyapunov exponent and saturation inseted dimension are obtained,and the longestforecast time is given.
     并且通过对边坡位移历史数据序列进行特征分析,计算出饱和嵌入维数和最大Lyapunov指数,给出了边坡位移的最大可预报时间尺度
短句来源
更多       
  相似匹配句对
     On the Time Scales
     关于时间尺度
短句来源
     CHAOTIC CHARACTERISTICS OF THE IONOSPHERIC PARAMETERS AND THE PREDICTABLE TIME SCALE
     电离层参数的混沌特性及可预报时间尺度
短句来源
     Lyapunov index and time scale of predictability in phase space
     Lyapunov指数和可预报时间尺度及其应用
短句来源
     DISCUSSION ON LANDSLIDE DISASTER PREDICTIVE TIME SCOPE PROBLEMS
     滑坡灾害可预报时间尺度问题探讨
短句来源
     MultiResolution Synthesis of Time Scale
     时间尺度的多分辨率综合
短句来源
查询“预报时间尺度”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
没有找到相关例句


In this paper the 9 days meaned series of the dayly international sunspot numbers from 1932-1982 are used to analyse the dynamical properties of the sunspots evolution. It is concluded that the sunspot is a complex dynamical system which should be described by at least seven independent variables, and that its correlation dimension is 6.3 ± 0.1, the 2-order Renyi entropy and the maximum Lyapunov exponent are respectively (0.37 ±0.02) bit/yr. The predictable time scales that they indicate, namely, the time for...

In this paper the 9 days meaned series of the dayly international sunspot numbers from 1932-1982 are used to analyse the dynamical properties of the sunspots evolution. It is concluded that the sunspot is a complex dynamical system which should be described by at least seven independent variables, and that its correlation dimension is 6.3 ± 0.1, the 2-order Renyi entropy and the maximum Lyapunov exponent are respectively (0.37 ±0.02) bit/yr. The predictable time scales that they indicate, namely, the time for initial error becoming 2 times larger, are (2.7±0.2) years and (2.9±0.1) years, respectively.

本文利用1932年至1982年的逐日国际太阳黑子相对数的9日平均时间序列来分析太阳黑子演变的动力学特性,发现太阳黑子是至少需要七个独立变量来描述的复杂动力系统,其关联维数为6.3+0.1,二阶Renyi熵和最大Lyapunov指数分别为(0.37±0.02)bit/yr和(0.34±0.01)bit/yr,它们表征的可预报时间尺度,即初始误差增长一倍所需的时间分别为(2.7±0.2)年和(2.9±0.l)年.

The 1970-1985 daily-averaged pressure dataset of Shanghai is used to calculate its associated dimension D and the second-order Reiyi entropy, K2, as the approximation of Kolmogorov' s entropy, in terms of the phase space continuation, indicating the fractional dimension D = 7. 7-7. 9 and positive Kz 0. 1. This shows that the attractor for the short-term weather evolution in the monsoon region of China exhibits a choatic motion. The direct estimate of K2 yields a roughly 10-day scale of the lead time T= (1/K2)...

The 1970-1985 daily-averaged pressure dataset of Shanghai is used to calculate its associated dimension D and the second-order Reiyi entropy, K2, as the approximation of Kolmogorov' s entropy, in terms of the phase space continuation, indicating the fractional dimension D = 7. 7-7. 9 and positive Kz 0. 1. This shows that the attractor for the short-term weather evolution in the monsoon region of China exhibits a choatic motion. The direct estimate of K2 yields a roughly 10-day scale of the lead time T= (1/K2) ,a result which is in agreement with that obtained earlier by the dynamic-statistical approach.

本文采用上海16年(1970—1985年)逐日平均气压资料,用相空间延拓的方法,计算了它的关联维D和Kalmogorov熵的近似值二阶Renyi嫡K_2。得到D=7.7~7.9,为分数值,K_2约为0.1,是一正数值。证明我国季风区短期天气吸引子是一种浑沌运动。由K_2数值直接估计可预报时间T=(1K_2)约为十天,与早期动力统计学方法所得的可预报时间尺度相一致。 本文计算中,考察了相空间拓展时延滞τ的效应。计算结果表明:关联维D和K_2对τ均是收敛的。对本文所用上海逐日平均气压序列,用延滞τ=5延拓的相空间,各坐标分量是相互独立的,系统动力学特征量是稳定可靠的。

In this paper, based on the long-, intermediate- and short-terms earthquake prediction studies the major seismicity patterns have been classified and expounded. The obtained result indicates the following points: (1 ) The time span control of an intermediate and short-term prediction, according to the seismicity pattern analysis, can reach down to 1-2 years, or within 12 months. Yet, it would be very difficult to make a prediction in the shorter time span, unless tliere exists an obvious foreshock activity;...

In this paper, based on the long-, intermediate- and short-terms earthquake prediction studies the major seismicity patterns have been classified and expounded. The obtained result indicates the following points: (1 ) The time span control of an intermediate and short-term prediction, according to the seismicity pattern analysis, can reach down to 1-2 years, or within 12 months. Yet, it would be very difficult to make a prediction in the shorter time span, unless tliere exists an obvious foreshock activity; ( 2 ) For the location of a corning event (especially a strong mainshock) the seismicity pattern method is very effective; ( 3 ) There exists a difference between patterns of a strong event and a moderate one, with which the magnitude of the coming mainshock might probably determined. The spatial scale of those patterns does not relate closely to the mainshock magnitude; and ( 4 )The signal shock, precursory swarm and foreshock (including the early stage foreshock) always accompany the anomalous temporal-spatial patterns.

本文根据长、中和短期预报研究对主要地震活动图象加以归类和简述。结果表明:(1) 基于地震活动图象分析的中、短期预报,在预报时间上可能达到1、2年,甚至几个月的量级。但要进一步缩短预报的时间尺度十分困难,除非有明显的前震序列活动。(2) 地震活动图象分析对于辨认未来主震(尤其是强主震)的位置是有效的。(3) 强震和中强震前的图象特点是有区别的;据此,可以大概估计未来主震的震级。然而,图象的空间尺度与主震震级无明显的相关性。(4) 信号震、前兆震群和前震(包括早期前震)总是伴随着异常的地震活动时空图象。

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关预报时间尺度的内容
在知识搜索中查有关预报时间尺度的内容
在数字搜索中查有关预报时间尺度的内容
在概念知识元中查有关预报时间尺度的内容
在学术趋势中查有关预报时间尺度的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社