改进独立分量分析极化SAR影像相干滤波

极化合成孔径雷达(SAR)影像的相干斑滤波,对其后处理起着至关重要的作用。针对传统的独立分量分析(ICA)算法稳定性差、易陷入局部最优等缺陷,该文提出基于粒子群优化(PSO)改进的ICA滤波算法,用于进行极化SAR影像相干斑滤波。该方法利用PSO算法来改进解混矩阵W的行向量的生成过程,以提高ICA算法的分离效果。采用AIRSAR获取的旧金山海湾地区的L波段极化SAR影像进行实验,并用相干斑指数、迭代次数、收敛时间等指标进行客观评价。结果表明,基于PSO改进的ICA算法具有更高的收敛效率和更好的相干斑抑制性能,能有效地降低影像的相干斑噪声。     

Effects of Mudstone Particle Content on Shear Strength of a Crushed Sandstone–Mudstone Particle Mixture

The present study focuses on the shear strength, deformation, and particle crushing of sand which is mixed by crushed sandstone and mudstone particles. Two triaxial tests—one for unsaturated specimens and the other for saturated specimens—were performed, along with sieve analysis tests. Results obtained from the triaxial tests indicate that, with the increment of the mudstone particle content by weight, the angle of internal friction decreases, the cohesion increases and then decreases, and both the initial angle of shearing resistance at the atmospheric pressure and decremental angle increase and then decrease. Compared to the unsaturated specimens, the deviator stress or normalized deviator stress of the saturated specimens at the same axial stress may decrease due to the wetting action. Thus, the shear strength of the tested materials may be reduced by the wetting action. Results of sieve analysis tests indicate that the mixing of some mudstone particles into the sandstone particle mixture may reduce the amount of particle crushing, but the wetting action may increase the amount. The amount of the crushed particle may arrive at a minimum of 40% of mudstone particle content by weight.     

Particle‐size evidence of barrier estuary regime as a new proxy for ENSO climate variability

We investigate a new proxy for ENSO climate variability based on particle‐size data from long‐term, coastal sediment records preserved in a barrier estuary setting. Corresponding ~4–8 year periodicities identified from Wavelet analysis of particle‐size data from Pescadero Marsh in Central Coast California and rainfall data from San Francisco reflect established ENSO periodicity, as further evidenced in the Multivariate ENSO Index (MEI), and thus confirms an important ENSO control on both precipitation and barrier regime variability. Despite the fact that barrier estuary mean particle size is influenced by coastal erosion, precipitation and streamflow, balanced against barrier morphology and volume, it is encouraging that considerable correspondence can also be observed in the time series of MEI, regional rainfall and site‐based mean particle size over the period 1871–2008. This correspondence is, however, weakened after c.1970 by temporal variation in sedimentation rate and event‐based deposition. These confounding effects are more likely when: (i) accommodation space may be a limiting factor; and (ii) particularly strong El Niños, e.g. 1982/1983 and 1997/1998, deposit discrete >cm‐thick units during winter storms. The efficacy of the sediment record of climate variability appears not to be compromised by location within the back‐barrier setting, but it is limited to those El Niños that lead to barrier breakdown. For wider application of this particle size index of ENSO variability, it is important to establish a well‐resolved chronology and to sample the record at the appropriate interval to characterize deposition at a sub‐annual scale. Further, the sample site must be selected to limit the influence of decreasing accommodation space through time (infilling) and event‐based deposition. It is concluded that particle‐size data from back‐barrier sediment records have proven potential for preserving evidence of sub‐decadal climate variability, allowing researchers to explore temporal and spatial patterns in phenomena such as ENSO. Copyright © 2017 John Wiley & Sons, Ltd.     

钻孔瞬变电磁法扫描探测RCQPSO-LMO组合算法2.5D反演

利用钻孔进行超前探测地质构造及含水体是地下开挖工程中的常规手段,如何利用这些钻孔进行钻孔瞬变电磁法扫描探测,从而实现钻孔孔壁外围地质异常体的精细探测,对实现地下工程地质透明化具有重要的指导意义.本文提出钻孔瞬变电磁法扫描探测2.5D反演的数据解译方法,首先针对随机性反演算法时效性低,易陷入局部最优解,而确定性反演算法依赖初始模型的问题,提出了组合策略的量子粒子群优化算法用来随机搜索最优初始模型.在此基础上,利用Levenberg-Marquarat方法求解Occam反演的目标函数,形成了RCQPSO-LMO组合算法进行2.5D反演,通过对比组合算法和单一算法,验证了组合算法具有更精确的反演结果.其次结合屏蔽条件下扫描探测,对比分析了有无屏蔽的2.5D反演结果,通过设定屏蔽系数对非探测方向信号进行部分压制,可以较好地解决钻孔径向扫描探测中对非探测方向信号部分屏蔽下的反演及成像.最后建立三组理论模型进行组合算法2.5D反演,结果表明：组合算法反演结果与理论模型的一致性较好,对低阻异常体的反演精度较高,验证了组合算法对钻孔孔壁外围低阻异常体具有较高的反演精度和分辨能力.

     

The active layer in gravel-bed rivers: An empirical appraisal

The vertical position of the streambed–water boundary fluctuates during the course of sediment transport episodes, due to particle entrainment/deposition and bedform migration, amongst other hydraulic and bedload mechanisms. These vertical oscillations define a topmost stratum of the streambed (i.e. the ‘active layer or active depth’), which usually represents the main source of particles entrained during long and high-magnitude bedload transport episodes. The vertical extent of this layer is hence a capital parameter for the quantification of bedload volumes and a major driver of stream ecology in gravel-bed rivers. However, knowledge on how the active depth scales to flow strength and the nature of the different controls on the relation between the flow strength and the active depth is still scarce. In this paper we present a meta-analysis over active depth data coming from ~130 transport episodes extracted from a series of published field studies. We also incorporate our own field data for the rivers Ebro and Muga (unpublished), both in the Iberian Peninsula. We explore the database searching for the influence of flow strength, grain size, streambed mobility and channel morphology on the vertical extent of the active layer. A multivariate statistical analysis (stepwise multiple regression) confirms that the set of selected variables explains a significant amount of variance in the compiled variables. The analysis shows a positive scaling between active depth and flow strength. We have also identified some links between the active depth and particle travel distances. However, these relations are also largely modulated by other fluvial drivers, such as the grain size of the bed surface and the dominant channel macro-bedforms, with remarkable differences between plane-bed, step-pool and riffle-pool channels. © 2020 John Wiley & Sons, Ltd.     

基于粒子群优化的多目标体中梯电阻率异常反演

在采用中梯装置的电阻率剖面法应用中,特别是在环境、水文和工程等领域,经常遇到需要对多个异常目标体进行快速定位以便及时进行相应处理的情况.利用倾斜椭球体来近似模拟这些电阻率异常目标体,使得正演计算可以采用解析表达式来实现,提高正演计算的时效性.相应的地球物理模型也可简化为由椭球体个数、中心点位置、倾角、轴径以及电阻率等参数构成的粒子,多个粒子组成的粒子群在粒子群优化算法的控制下在给定的搜索空间中并行地搜索最优模型.通过对粒子群优化算法参数的合理设计,利用其良好的全局与局部均衡的搜索能力实现对多个异常目标体的同时反演.数值实验结果表明该反演方法能有效实现对多个目标体的同时反演,计算速度快、反演拟合精度较高、同时具有一定的抗噪音能力.快速的多目标体反演,可以实时准确的定量解译中梯剖面法圈定的异常目标体,较好地满足工程等领域的高时效性要求.     

粗颗粒间液桥毛细力演化规律的动态计算方法

水力特性是非饱和土力学理论与工程的重要课题之一,土样水力特性的变化过程本质上可反映为土颗粒间毛细力的演化规律。为此,以粗颗粒为研究对象,将其简化为一对不等径球体颗粒,而其间的水分形态可视为形如圆环的液桥,不考虑颗粒重力和浮力的影响。以Young-Laplace方程为基础,先推得计算液桥毛细力的控制方程组,再结合液桥的无量纲体积最大、最小值及其外曲率半径的割线迭代算法提出求解毛细力的动态计算方法,进而研究毛细力与颗粒间距、颗粒半径比和液桥体积的无量纲关系,结果表明：当颗粒间距一定时,液桥的毛细力随其体积和颗粒半径比增大均呈递增趋势;当液桥体积一定时,其抗拉刚度随颗粒间距增大呈递减趋势。最后,利用已有文献中液桥毛细力与颗粒间距的实测关系,验证了该动态计算方法在表征液桥从形成至断裂时毛细力演化规律的有效性。     

海冰动力学数值方法研究进展

在海冰动力学数值模拟和预测研究中,人们将海冰视为连续介质分别建立了欧拉坐标下的有限差分（FD）方法、拉格朗日坐标下的光滑质点流体动力学（SPH）方法、欧拉和拉格朗日坐标相结合的质点网格法（PIC）,近年来又发展了基于非连续介质的颗粒流（GF）方法。对以上几种海冰动力学数值方法的特点和适用性进行了讨论,结果表明：FD、PIC和SPH方法可适用于中长期海冰动力学数值模拟,但SPH方法的计算效率需进一步提高;GF方法在不同尺度下的海冰动力学数值模拟中的计算精度均有很强的适用性,但目前较适用于小尺度下海冰动力学基本特性的数值试验研究,计算时效还不能满足实际海冰数值模拟和预测的要求。为进一步提高海冰动力学模拟的精度和适用性,在不同时空尺度下分别发展与其相适应的数值方法是必要的。     

粗颗粒悬移质测验误差分析

本文根据流速与含沙量分布,研究了悬移质积点法对粗颗粒含沙量测验误差.首先指出无论从输沙率还是从悬浮高度看,粗颗粒悬移质集中于河底,致使水文测验中的一些测验方法(如一点法、二点法、三点法等)带有较大的误差.进而分析了各种测法对粗颗粒的相对误差,并且随着颗粒变粗,误差愈来愈大,以致不能接受.这种情况在水库下游河道冲刷过程中,会在一定程度上出现,必须重视研究和调整测验方法.最后通过与长江委水文局在沙市及监利两水文站试验结果对比,证明本文理论上的分析是可信的.     

基于土地定级估价信息的市场比较法研究

探讨了在土地定级估价信息系统中,如何将市场比较法与基准地价体系有机地结合,充分利用土地定级和基准地价评估的成果进行宗地评估的技术和方法。通过模板建立并设计了相应的数据结构,解决了数据库结构的不确定性问题,采用聚类分析等数学方法实现了案例提取、匹配以及地价计算相应流程的算法。基于土地定级估价信息的市场比较法克服了传统市场比较法实现存在的问题,对实现宗地地价评估流程的自动化、保证评估结果的客观性具有重大意义