提取精密控制震源信号的自适应加权匹配滤波方法

为克服短时突发噪声对提取精密控制震源信号的影响, 本文研究并提出了加权匹配滤波方法。 通过评估记录中的噪声时间分布取得相对应的信号段的权重, 对噪声水平高的时段分配较小的权重, 噪声水平较低的时段分配较大的权重, 进行加权匹配滤波, 达到降低短时突发噪声的影响、 有效提高输出信号信噪比的目的。     

Laboratory studies on zooplankton‐cyanobacteria interactions

Laboratory studies on cyanobacteria‐zooplankton interactions have largely focused on the inadequacy of cyanobacteria as a food source. Some features of cyanobacteria can be regarded as anti‐herbivore defences. Large colonies of Aphanizomenon, Anabaena and Microcystis cannot be handled by zooplankton, but do not interfere seriously with the filtering process. Small colonies and filaments, however, may cause severe inhibition of the feeding process by mechanical interference. This reduces zooplankton growth, reproduction, and survival. Copepods, rotifers, and Bosmina are less affected by mechanical disturbance than cladocerans. If ingested, some cyanobacteria may be poorly digested or may not provide essential nutrients. Some cyanobacteria are reported to be toxic to zooplankton. Several strains of Microcystis produce an endotoxin, but the amount of toxin produced differs among strains and with the condition of Microcystis. Zooplankton encountering toxic cells cease feeding. Some evidence of an extra‐cellular herbivore deterrent was found for Anabaena. Thus, cyanobacteria may either be individually protected or may create an environment that is unfavourable for efficient grazers (e.g., Daphnia).     

Intelligent fuzzy weighted input estimation method for the multi-story buildings with unknown ground motion acceleration

This paper presents a novel intelligent fuzzy weighted input estimation method which effiviently and robustly estimates the unknown ground motion accelerations. The new input estimation method includes the Kalman Filter (KF) and the recursive least square estimator (RLSE), which is weighted by the fuzzy weighting factor proposed based on the fuzzy logic inference system. By directly synthesizing the Kalman filter with the estimator, this work presents an efficient robust forgetting zone, which is capable of providing a reasonable compromise between the tracking capability and the flexibility against noises. The excellent performace of this inverse method is demonstrated by solving the earthquake-excitation estimation problem, and the proposed algorithm is compared by alternating between the constant and adaptive weighting factors. The results reveal that this method has the properties of better target tracking capability and more effective noise reduction.     

一种新的土体动力本构模型

基于指数函数的有界性、函数曲线形状和构造土体动力本构模型的一般原则,把函数Y=e^x在（-∞,0]区间上的图像进行翻转、平移、放缩,从而构造出土体的动力本构模型的骨架曲线。在卸载和反向加载时,采用与骨架曲线相同的函数形式,并以前一次卸载开始点作为起点,以土体的极限应力水平作为渐近线,构造出土体动力本构模型的滞回曲线。在此基础上构造出适用于非对称循环荷载的指数形式土体动力本构模型（UE模型）。并用共振柱实验的结果检验了模型的有效性。UE模型具有四个特点：第一,适用于非对称循环荷载;第二,记忆量小;第三,卸载再加载滞回曲线自动满足Masing准则;第四,模型参数少,物理意义明确,可用常规试验确定。     

An adaptive hybrid EnKF-OI scheme for efficient state-parameter estimation of reactive contaminant transport models

Reactive contaminant transport models are used by hydrologists to simulate and study the migration and fate of industrial waste in subsurface aquifers. Accurate transport modeling of such waste requires clear understanding of the system’s parameters, such as sorption and biodegradation. In this study, we present an efficient sequential data assimilation scheme that computes accurate estimates of aquifer contamination and spatially variable sorption coefficients. This assimilation scheme is based on a hybrid formulation of the ensemble Kalman filter (EnKF) and optimal interpolation (OI) in which solute concentration measurements are assimilated via a recursive dual estimation of sorption coefficients and contaminant state variables. This hybrid EnKF-OI scheme is used to mitigate background covariance limitations due to ensemble under-sampling and neglected model errors. Numerical experiments are conducted with a two-dimensional synthetic aquifer in which cobalt-60, a radioactive contaminant, is leached in a saturated heterogeneous clayey sandstone zone. Assimilation experiments are investigated under different settings and sources of model and observational errors. Simulation results demonstrate that the proposed hybrid EnKF-OI scheme successfully recovers both the contaminant and the sorption rate and reduces their uncertainties. Sensitivity analyses also suggest that the adaptive hybrid scheme remains effective with small ensembles, allowing to reduce the ensemble size by up to 80% with respect to the standard EnKF scheme.     

OBC与拖缆数据的子波域匹配滤波方法研究

海底电缆（OBC）采集方式的出现,导致OBC采集与拖缆采集数据进行拼接成为三维连片地震资料处理中的一个重要环节.由于采集方式不同,数据在振幅、频率、相位等方面均存在较大差异.为了消除和减小这些差异,为后续的地质解释和油气预测提供便利,本文提出了一种在子波域的1范数匹配滤波方法来计算匹配滤波因子,以用来提高OBC数据和拖缆数据的匹配精度,改善连片处理的数据品质,为后续的地质解释和油气预测提供便利.通过实际资料检验,子波域匹配滤波方法在OBC与拖缆数据拼接应用中取得了较好的效果.     

2013年3月涿鹿微震群遗漏地震事件检测和发震构造分析

震群活动时,短时间发生大量地震,不同地震事件的记录波形相互交叠影响,易造成地震目录的遗漏,对震群发震构造分析等研究带来不利的影响.本文针对2013年3月3日至5日在河北涿鹿发生的微震震群,利用匹配滤波技术,以地震台网观测目录所记录地震事件的波形为模板,在连续波形记录中搜索与模板相似的信号,从而检测台网目录遗漏的地震.利用波形互相关标定新检测到地震事件的P波和S波到时,进而对其震中位置和震级做出估计.计算结果显示,通过互相关扫描检测到52个地震台网常规分析遗漏的地震,约为地震目录给出的45个事件的1.16倍.检测到的遗漏地震震级估算为M_L0.1~0.9,通过震级-频次统计分析,加入遗漏地震后地震目录的完整性在M_L0.3~0.8范围内有较明显的改善.根据地震事件精定位结果,推测此次震群的发震构造为北西走向倾角较大的断层,施庄断裂为发震构造的可能性较大.     

桂林红黏土的土-水特征曲线

采用压力板法、滤纸法和饱和盐溶液法3种方法,对压实桂林红黏土进行全吸力范围内的土-水特性量测,研究干密度对于土-水特征曲线的影响。试验结果表明：干密度1.4 g/cm3的压实桂林红黏土的进气值约为20 kPa;土-水特征曲线的过渡段与典型的土-水特征曲线不同,含水率或饱和度与吸力的对数坐标关系不是单一直线,而是出现了3段直线,并且中间一段平缓段下降斜率较小;当吸力增大到367 MPa时,含水率仅为0.74%,可认为如吸力继续增大至106 kPa时,含水率和饱和度为0;用吸力与含水率关系表示土-水特征曲线时,吸力较大时不同干密度的曲线重合,认为干密度对土-水特征曲线无影响。用吸力与饱和度关系表示土-水特征曲线时,在吸力较小时,干密度越大,对应的土-水特征曲线越高;当吸力较大时,不同干密度的土-水特征曲线几乎重合。     

带有未知物理信息的边坡监测滤波算法

为合理利用边坡的几何信息和物理信息,控制几何观测异常对形变参数估计的影响,建立了一种带有未知系统误差的滤波模型,并给出了一种基于移动窗口的系统误差自适应拟合法,同时给出了相应的状态预测向量的协方差矩阵估计方法。GPS监测网的计算结果表明,该算法可以通过拟合地球物理信息来减弱观测异常所带来的影响,提高形变参数解算精度。     

RMSE的平方与平滑度的线性组合的平方根作为Vondrak滤波评价标准的探讨

对Vondrak滤波的准则函数进行了探讨,提出了一种新的评价标准,即用滤波值的均方根误差与平滑度的线性组合的平方根δ作为平滑因子质量好坏的评价标准。模拟算例证实了此评价标准的可行性。