Multi-Time Scale Analysis of Runoff at the Yangtze Estuary Based on the Morlet Wavelet Transform Method

Runoff series of the Yangtze River presents an intricate variation tendency under the reinforced influence of human activities.The Morlet Wavelet Transform method has been applied to analyze the annual runoff data from 1950 to 2011 at the Yangtze River Estuary.It can clearly reveal the multi-time scales structure,break point,change and distribution of periodic variation in the different time scales of the runoff series.The main conclusions are that：1） Repeated periodic oscillations accompanied by an extremely large fluctuation are presented in the runoff series with an obvious difference between wet and dry years,and the major periods of the time series are about 3,8,16 and 23 years respectively.Among them,the presented maximum periodic oscillation is 23 years scale.2） In the 23-year time scale,the wet periods are 1950-1958,1969-1980 and 1992-2003,and the dry periods are 1959-1968,1981-1991 and 2004-2011.3） It can be predicted from the view of long time scales that the low annual runoff will likely occur in the near future.     

青田芝溪头鹤溪群浅变质岩系中发现动物化石

作者于1993年4月在浙江青田芝溪头鹤溪群剖面上采集了白云质大理岩标本样品，送南京地质古生物研究所进行标本浸泡处理。首次获得鱼骨、管状化石及土菱子介等海相化石，经鉴定认为其时代可能属石岩—二叠纪。本文根据以往的同位素资料、沉积环境分析和区域对比，认为这套变质岩系的原岩为二叠纪含煤沉积岩，可与福建的童子岩组中上部层位对比。     

一种削弱区域CORS站坐标时间序列非线性变化的方法

为削弱测站非线性变化对速度场模型和噪声模型的影响,提出一种EMD分解与环境负载改正相结合的方法,利用徐州区域10个CORS站近2 a(2016-06～2018-05)的时间序列对该方法进行验证.首先利用Bernese软件解算测站坐标时间序列,对去线性项的时间序列进行EMD分解,重构周期项和残差项;然后利用GFZ发布的环...     

滇西马厂箐钼铜金矿床深部地质过程的系列成矿效应

[摘 要] 马厂箐钼铜金矿床是金沙江-哀牢山断裂带上与喜马拉雅期富碱斑岩有关的典型矿床之一,其成矿作用具有特殊性。本文应用透岩浆流体成矿理论,重点探讨了马厂箐钼铜金矿床深部地质过程中成岩与由地幔流体作用引发壳幔混染并形成系列成矿的关系。通过对马厂箐矿床成岩成矿时代的厘定、岩矿石稀土和微量元素、稀有气体及Pb-Sr-Nd 同位素研究,论证了成矿流体和岩浆流体均来自于富集地幔,这种成矿流体是包含于富碱岩浆并与其互不混溶的地幔流体。在上升运移过程中,地幔流体可随富碱岩浆的结晶成岩过程对岩体进行同步自交代蚀变而在斑岩体内或其深部形成矿床;也可与岩浆分离而独立运移,在岩体与围岩的接触带及地层围岩中进行交代蚀变成矿。在这一成岩成矿过程中, 引发并促进壳幔物质混染和叠加成矿,由此导致了马厂箐矿区成矿分带表现为从岩体到围岩、从高温到低温的不同矿种和不同类型的系列成矿效应。     

运用动态谐波回归模型对MODIS叶面积指数时间序列产品的分析与预测

运用动态谐波回归模型(Dynamic Harmonic Regression,DHR)对MODIS的长时间序列的LAI产品进行分析,可以从中分离出LAI随时间变化的多年趋势、季节变化及残差等主要成分,通过建立的模型实现LAI年间变化的短时预测。本文将所述DHR模型分析方法试用于遥感数据产品随时间变化的信息提取,对LAI年间变化的预测结果证明该方法用于遥感像元尺度LAI产品的时间序列分析与预测的效果良好。     

中国地壳运动观测网络基准站GPS观测的位移时间序列结果

对中国地壳运动观测网络基准网于1998年9月－2001年10月GPS连续观测结果所获得的位移时间序列进行了初步分析，讨论了适用于地震分析预报的位移时间序列生成中的基准选择。选东部长期相对水平位移很小的9个站组成的一组稳定点作为基准，得到水平位移时间序列；选分布于不同区域相对垂直位移较小的7个站为稳定点组，得到垂直位移时间序列。2000－2001年我国西部的基准站出现2次明显的水平与垂直位移异常变化，这种异常变化有可能与南北地震带上云南地区发生的6级左右地震活动有一定的关系。     

联合GPS和GRACE数据分析陕甘宁地区地表垂直形变

采用甘肃省CORS网和中国大陆构造环境监测网络中共48个台站的GPS观测数据，解算得到观测台站的垂直位移，并与GRACE时变重力场Mascon模型解CSR RL05M数据计算得到的垂直形变进行比较，分析区域地表垂直形变特征。结果表明，研究区内台站垂直形变存在局部特征，甘肃庆阳和平凉地区垂直形变与其他地区存在明显差异，相关系数、均方根减少量和周年信号减少量均高于其他地区；扣除趋势项后，观测台站GPS垂直位移与GRACE垂直形变时间序列相关系数均值为0.72，GPS和GRACE周年信号振幅均值分别为6.00 mm和3.70 mm，周年信号减少量和均方根误差减少量均值分别为0.51和0.29；研究区内GPS垂直位移和GRACE垂直形变时间序列一致性较强，GRACE垂直形变能有效解释50%以上的GPS垂直位移周年信号，GPS垂直位移时间序列包含的非构造形变中平均约29%来源于环境负载变化所引起的负荷形变。     

长基线时间序列季节项提取和重构方法分析

运用经验模态分解（EMD）、集合经验模态分解（EEMD）和完备总体经验模态分解（CEEMD）3种方法对原始基线时间序列进行分解,得到各自时间序列的本征函数模态分量（IMF）、相关系数及周期性强度,进而确定其季节项分量,同时通过比较季节项和原始基线时间序列的叠加功率谱图优选分解方法。结果表明,CEEMD方法对基线时间序列季节项提取和重构效果最佳。     

INFLUENCE OF SERIES OF SQUARE GRIDS ON FRACTAL DIMENSIONS—A Case Study of Mountains of China＇s Mainland

MANDELBROT enunciated the uncertainty of the length of a coastline in his paper “How long is the coastline of Britain?” published in Science in 1967. The fractal concept was presented for the first time in that paper and has been applied to many fields ever since. Although fractal dimensions of lots of phenomena were calculated by the box-counting method, the quantitative influence of series of square grids on them is ignored. The issue is systematically discussed as a case study of the mountains of China‘s Mainland in this paper. And some significant conclusions are drawn as follows: 1) Although the fractal character objectively exists in the mountains of China‘s Mainland, and it does not vary with the changes of series of square grids, the fractal dimensions of the mountains of China‘s Mainland are different with these changes. 2) The fractal dimensions of the mountains of China‘s Mainlandvary with the average lengths of sides of series of square grids. The fractal dimension of the mountains of China‘s Mainland is the function of the average length of side of square grid. They conform to the formula D=f(r) (where D is the fractal dimension, and r is the average length of side of square grid). 3) Different dots of data collection can affect the fractal dimension of the mountains of China‘s Mainland. 4) The same range of length of side of square grid and dots of data collection can ensure the comparison of fractal dimensions of the mountains of China‘ s Mainland. The research is helpful to get the more understanding of fractal and fractal dimension, and ensure that the fractal studies would be scientific.     

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