Middle to late Triassic mélange exhumation along a pre-Andean transpressional fault system: coastal Chile (26°–42° S)

Mélanges occur as discontinuous, mappable, units along an extensive N–S-trending, steeply dipping zone of distributed shear in metamorphic complexes along the coast of central Chile. Large mélange zones, from north to south, near Chañaral, Los Vilos, Pichilemu, and Chiloé Island, contain variations in lithologic and structural detail, but are consistent in exhibiting cross-cutting fabric features indicating a progressive transition from earlier ductile to more brittle deformation. In the Infiernillo mélange near Pichilemu, Permian to Early Triassic, sub-horizontal schistosity planes of the Western Series schist are disrupted, incorporated into, and uplifted along high-angle, N–S- to NNE–SSW-trending brittle–ductile shears. Mylonitic and cataclastic zones within the mélange matrix indicate active lateral shear during cumulative exhumation from depths exceeding 12 km in some areas. Exotic lithologies, such as Carboniferous mafic amphibolite and blueschist, formed during earlier Gondwanide subduction, match well with similar rocks in the Bahia Mansa to Los Pabilos region 750 km to the south, suggesting possible dextral offset. The development of the Middle to Late Triassic, N–S=trending, near-vertical shear zones formed weaknesses in the crust facilitating later fault localization, gravitational collapse, and subduction erosion along the continental margin. The length and linearity of this zone of lateral movement, coincident with a general hiatus of regional arc magmatism during the Middle to Late Triassic, is consistent with large-scale dextral transpression, or possible transform movement, during highly oblique NNE–SSW convergence along the pre-Andean (Gondwana) margin. The resultant margin parallel N–S-trending shear planes may be exploited by seismically active faults along the present coastal area of Chile. The palaeo-tectonic setting during the transitional period between earlier Gondwanide (Devonian to Permian) and later Andean (Late Jurassic to present) subduction may have had some similarity to the presently active San Andreas transform system of California.     

基于Hurst指数的黑龙江省作物生长季降水趋势研究

基于黑龙江省78个气象站1971—2016年逐日降水资料,综合采用墨西哥帽小波分析、Hurst指数分析等方法,对黑龙江省作物生长季(5—9月)降水量变化和未来趋势进行分析及预测。结果表明:1971—2016年,黑龙江省生长季、5月、6月降水量存在7 a、14 a、7 a左右的主周期,7月、8月、9月降水量存在2 a、3 a、7 a左右的第1主周期及6 a、11 a、21 a左右的第2主周期,各月均存在最近几年降水偏多的趋势;作物生长季降水量年际间为波动式振荡变化,7月、8月振荡幅度相对较大。年代际变化总体存在增加—减少—增加趋势,20世纪80年代、90年代降水量普遍偏多,2010年以来出现急转升高变化;单站各月Hurst指数均在0.5以上,降水存在比较明显的赫斯特现象;降水主要出现在夏季且以7月最为集中,最近几年降水偏多、7月异常降水集中以及主要流域未来7月降水的持续增加趋势在农业防灾减灾上值得关注。     

Effect of doubling the ensemble size on the performance of ensemble prediction in the warm season using MOGREPS implemented at the KMA

Using the Met Office Global and Regional Ensemble Prediction System (MOGREPS) implemented at the Korea Meteorological Administration (KMA), the effect of doubling the ensemble size on the performance of ensemble prediction in the warm season was evaluated. Because a finite ensemble size causes sampling error in the full forecast probability distribution function (PDF), ensemble size is closely related to the efficiency of the ensemble prediction system. Prediction capability according to doubling the ensemble size was evaluated by increasing the number of ensembles from 24 to 48 in MOGREPS implemented at the KMA. The initial analysis perturbations generated by the Ensemble Transform Kalman Filter (ETKF) were integrated for 10 days from 22 May to 23 June 2009. Several statistical verification scores were used to measure the accuracy, reliability, and resolution of ensemble probabilistic forecasts for 24 and 48 ensemble member forecasts. Even though the results were not significant, the accuracy of ensemble prediction improved slightly as ensemble size increased, especially for longer forecast times in the Northern Hemisphere. While increasing the number of ensemble members resulted in a slight improvement in resolution as forecast time increased, inconsistent results were obtained for the scores assessing the reliability of ensemble prediction. The overall performance of ensemble prediction in terms of accuracy, resolution, and reliability increased slightly with ensemble size, especially for longer forecast times.     

复小波在脑电同步性研究中的应用

基于小波变换的基本原理，研究了如何应用复小波量化信号同步程度；针对脑电信号的生理特点，提出了先对信号进行小波多尺度分解，提取信号主要特征，再用复小波（complex Corrected Morlet Wavelet）对信号做同步量化的方法；应用仿真数据和真实动物脑电信号验证了此方法在脑电信号同步性分析中的可行性和有效性。     

东昆仑三维重力异常解释方法研究

小波变换是一种广泛应用的信号处理技术,它具有良好的时—频局部化特性。本文探讨了小波变换在分解重力异常中的应用。同时,利用计算机对重力资料的三维定量解释,进行了初步试算。通过东昆仑地区实际资料处理,认为这二种方法在重力资料处理解释中,具有快速、简捷的特点。     

利用小波变换进行遥感多光谱图像融合的算法及实现

在分析了小波变换的分解与重建方法后,提出了一种基于区域的图像增强算法。先提取出源图的边缘,以图像的边缘为参考,围绕边缘建立融合窗口,然后结合区域内的图像信息,应用基于窗口的融合规则进行融合处理。实验结果显示,融合后的图像综合了3幅源图像的不同特征,处理后的图像变得容易识别了。表明该方法保持了尽可能多的原始信息,算法简单,稳定性好,适合于多光谱遥感图像识别、医学成像等领域。     

中国大陆及华北地区地震资料的小波分析

基于地震活动为多尺度多活动这一观点，运用小波变换方法，以不同的小波尺度分析了中国大陆1900～2001年和华北地区1500～2001年M≥5地震的本尼奥夫应变资料，得到了各种层次地震活跃期和平静期，分析结果可信而又符合实际。对历史地震研究和地震危险性预测具有一定的参考价值。     

Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey

This paper proposes the application of a conjunction model (neuro‐wavelet) for forecasting monthly lake levels. The neuro‐wavelet (NW) conjunction model is improved combining two methods, discrete wavelet transform and artificial neural networks. The application of the methodology is presented for the Lake Van, which is the biggest lake in Turkey, and Lake Egirdir. The accuracy of the NW model is investigated for 1‐ and 6‐month‐ahead lake level forecasting. The root mean square errors, mean absolute relative errors and determination coefficient statistics are used for evaluating the accuracy of NW models. The results of the proposed models are compared with those of the neural networks. In the 1‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 87–34% and 86–31% for the Van and Egirdir lakes, respectively. In the 6‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 34–48% and 30‐46% for the Van and Egirdir lakes, respectively. The comparison results indicate that the suggested model could significantly increase the short‐ and long‐term forecast accuracy. Copyright © 2009 John Wiley & Sons, Ltd.     

传感器信号调制脉冲序列抽样频率的确定

通过对传感器输出信号波形有无振荡进行分类 ,依据传感器响应时间的定义 ,分别找到一阶、二阶及理想动态传感器的频带上限与动态响应时间两者间的关系式 ;提出了传感器“受激系数”的概念 ,推导出输出信号波形有无振荡两种传感器之间的比例关系。并通过一个数值例子 ,说明所推导出关系式的应用。