1) monthly runoff series
月径流序列
1.
Based on the reconstruction of the chaotic dynamic space,the correlation dimension method and Lyapunov exponent method are applied to identify the chaos of monthly runoff series.
通过江桥站和丰满水库实际月径流序列的预测结果表明,月径流序列中存在着一定的混沌特征。
2.
It takes the ideal hydrology time series as the simulation foundation,the monthly runoff series of Heshui Reservoir and the abrupt change points of elimination cycle ingredient monthly runoff series counted by Heuristic segmentation algorithm to indicate the method is feasible and superior for studying the abrupt change of hydrological time series.
以理想的水文时间序列为仿真基础,结合合水水库的月径流序列,采用启发式分割算法得出去除周期成分后的月径流序列的突变点,以此证明了启发式分割算法检测水文时间序列突变的可行性和优越性。
2) monthly runoff time series
月径流时间序列
1.
Chaos analysis of the monthly runoff time series in Jinsha River,China;
金沙江流域月径流时间序列的混沌分析
3) yearly and monthly runoff series
年月径流序列
4) runoff time series
径流序列
1.
After runoff time series is directly conversed,the runoff fluctuation frequency and its evolution process are obtained by means of frequency search.
对径流序列直接进行变换后,经频率搜索处理得到径流波动频率及其演变过程。
2.
To study the complex stochastic and undulatory property of the runoff time series,an R/S method is used.
针对径流序列所具有的复杂的随机性和波动性,应用R/S分析法,通过对时变指数Hurst的计算及其检验,以新的视角对河川径流时间序列的分布特征、统计循环长度等复杂特性进行了有益探索。
5) runoff series
径流序列
1.
Study on runoff series complexity based on approximate entropy;
基于近似熵的径流序列复杂性研究
2.
Analysis on complexity of monthly runoff series based on sample entropy in the Dongjiang river
基于样本熵的东江月径流序列复杂性分析
3.
It was shown that all the annual runoff series have an obviously persistive decreasing tendency.
针对宝鸡市渭河干流林家村站、渭河北岸支流千河千阳站和南岸支流清姜河益门镇站天然径流序列,采用Kendall秩次相关检验、Spearman秩次相关检验分析了其演变趋势性,用R/S法计算了各自的Hurst指数以分析其演变持续性,分析表明三条河流年径流量均存在较为显著的持续下降趋势;通过月径流序列的相空间重构,估算了能够表征水文系统混沌特性的定量指标即月径流序列的饱和关联维数D2和最大Lyapunov指数1λ,计算结果表明三条河流径流系统均存在混沌特性。
6) annual runoff series
年径流序列
1.
This paper analyses firstly the periods and significance of annual runoff series using methods of squance deviation and fuzzy assumption tests.
因此,利用实测入站(库)年径流序列,通过时间外推来预报未来的径流。
2.
Based on the principle of power spectrum and maximum entropy spectral analysis,this paper identified the annual runoff series periods of 12 differernt stations in Shanbei area.
基于功率谱和极大熵谱分析原理,进行了陕北地区12个测站的年径流序列的周期识别。
补充资料：寄题云门寺梵月无侧房（时人相传是宝月道人
【诗文】：
越山千万云门绝，西僧貌古还名月。
清朝扫石行道归，林下眠禅看松雪。
【注释】：
【出处】：
全唐诗：卷817-63
越山千万云门绝，西僧貌古还名月。
清朝扫石行道归，林下眠禅看松雪。
【注释】：
【出处】：
全唐诗：卷817-63
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条