基于数字图像分割法的跨孔雷达走时层析成像

跨孔雷达走时层析成像主要利用雷达波的走时进行反演,走时提取的正确与否将直接影响到层析成像的效果。数字图像分割法基于凸集投影（POCS）方法,使用能量比彩色图像分割技术准确提取走时。数字图像分割法提取走时首先应用在折射地震波的数据处理中。笔者首次将数字图像分割法提取走时的方法应用到跨孔雷达走时层析成像中,使用迭代线性反演算法重建了雷达波速度场。反演过程中,使用最小二乘QR分解法（LSQR）求解线性方程组,利用弯曲射线追踪技术构建雅可比矩阵,走时的计算值则由多模板快速推进算法（MSFM）得到。为了验证数字图像分割法在走时层析成像中的效果,使用一组合成数据及一组实测数据分别对比了基于数字图像分割法和基于传统能量比法获得的层析成像反演结果。对比结果表明,使用数字图像分割法得到的层析成像结果更为精确,误差更小,能为判断地下雷达波速度场提供更为有力的帮助。     

Rapid imbibition of water in fractures within unsaturated sedimentary rock

The spontaneous imbibition of water and other liquids into gas-filled fractures in variably-saturated porous media is important in a variety of engineering and geological contexts. However, surprisingly few studies have investigated this phenomenon. We present a theoretical framework for predicting the 1-dimensional movement of water into air-filled fractures within a porous medium based on early-time capillary dynamics and spreading over the rough surfaces of fracture faces. The theory permits estimation of sorptivity values for the matrix and fracture zone, as well as a dispersion parameter which quantifies the extent of spreading of the wetting front. Quantitative data on spontaneous imbibition of water in unsaturated Berea sandstone cores were acquired to evaluate the proposed model. The cores with different permeability classes ranging from 50 to 500 mD and were fractured using the Brazilian method. Spontaneous imbibition in the fractured cores was measured by dynamic neutron radiography at the Neutron Imaging Prototype Facility (beam line CG-1D, HFIR), Oak Ridge National Laboratory. Water uptake into both the matrix and the fracture zone exhibited square-root-of-time behavior. The matrix sorptivities ranged from 2.9 to 4.6 mm s^−0.5, and increased linearly as the permeability class increased. The sorptivities of the fracture zones ranged from 17.9 to 27.1 mm s^−0.5, and increased linearly with increasing fracture aperture width. The dispersion coefficients ranged from 23.7 to 66.7 mm² s⁻¹ and increased linearly with increasing fracture aperture width and damage zone width. Both theory and observations indicate that fractures can significantly increase spontaneous imbibition in unsaturated sedimentary rock by capillary action and surface spreading on rough fracture faces. Fractures also increase the dispersion of the wetting front. Further research is needed to investigate this phenomenon in other natural and engineered porous media.     

基于Curvelet变换与POCS方法的三维数字岩心重建

随着页岩气勘探与开发的深入,研究页岩裂隙的三维空间展布成为页岩岩石物理研究的必要步骤之一.但由于仪器的限制,页岩切片在深度上具有不连续性,以及数字岩心纵向上成像最小间隔与横向分辨率的不一致成为影响裂隙表征和数字岩石物理模拟精度提高的重要因素.为了更好的研究裂隙在三维的空间展布,本文将curvelet稀疏变换与凸集投影(POCS)迭代算法有效结合,实现三维数字岩心重建.首先对X射线扫描砂岩得到的三维数据体进行隔片抽稀,利用本文方法实现三维数据体重建,重建结果与完整数据体具有很好的一致性,且优于现有方法(spgl1),验证了新方法的有效性与先进性.其次对聚焦离子束扫描电镜(FIB-SEM)得到的纳米级页岩二维切片在深度上进行了加密重建,获得纵向上成像最小间隔与横向分辨率基本一致的三维数字岩心,由于仪器限制引起的页岩切片深度上的不连续性得到减弱,裂隙展布更加清晰.砂岩CT图像以及页岩FIB-SEM成像数据的重建结果验证了本文方法的有效性与先进性.     

完备格上的表现定理及其应用

在完备格的条件下讨论了Ｌ集合套的性质,给出了表现定理,最后指出了表现定理在ＬＦ代数理论中的应用。     

高光谱遥感影像优化分类波段选择

利用粗糙集关于属性依赖性公式,本文给出一种定义遥感影像波段间相似度的方法。通过模糊聚类,得到对高光谱遥感影像原始波段集合的模糊等价划分。在每个模糊等价波段组中,选择一个代表性波段完成对原始波段集合的初步降维。基于遗传算法并结合粗糙集理论,在降维后的波段集合中进一步进行的分类波段组合的优化选择。实验结果表明,本文给出的高光谱遥感影像优化分类波段组合选择方法是非常有效的。     

Patterns in the spatial distribution of Peruvian anchovy (Engraulis ringens) revealed by spatially explicit fishing data

Peruvian anchovy (Engraulis ringens) stock abundance is tightly driven by the high and unpredictable variability of the Humboldt Current Ecosystem. Management of the fishery therefore cannot rely on mid- or long-term management policy alone but needs to be adaptive at relatively short time scales. Regular acoustic surveys are performed on the stock at intervals of 2 to 4 times a year, but there is a need for more time continuous monitoring indicators to ensure that management can respond at suitable time scales. Existing literature suggests that spatially explicit data on the location of fishing activities could be used as a proxy for target stock distribution. Spatially explicit commercial fishing data could therefore guide adaptive management decisions at shorter time scales than is possible through scientific stock surveys. In this study we therefore aim to (1) estimate the position of fishing operations for the entire fleet of Peruvian anchovy purse–seiners using the Peruvian satellite vessel monitoring system (VMS), and (2) quantify the extent to which the distribution of purse–seine sets describes anchovy distribution. To estimate fishing set positions from vessel tracks derived from VMS data we developed a methodology based on artificial neural networks (ANN) trained on a sample of fishing trips with known fishing set positions (exact fishing positions are known for approximately 1.5% of the fleet from an at-sea observer program). The ANN correctly identified 83% of the real fishing sets and largely outperformed comparative linear models. This network is then used to forecast fishing operations for those trips where no observers were onboard. To quantify the extent to which fishing set distribution was correlated to stock distribution we compared three metrics describing features of the distributions (the mean distance to the coast, the total area of distribution, and a clustering index) for concomitant acoustic survey observations and fishing set positions identified from VMS. For two of these metrics (mean distance to the coast and clustering index), fishing and survey data were significantly correlated. We conclude that the location of purse–seine fishing sets yields significant and valuable information on the distribution of the Peruvian anchovy stock and ultimately on its vulnerability to the fishery. For example, a high concentration of sets in the near coastal zone could potentially be used as a warning signal of high levels of stock vulnerability and trigger appropriate management measures aimed at reducing fishing effort.     

基于分布函数的模糊知识表示与推理模型

本文基于模糊集与模糊推理理论,给出了一种模糊谓词模式的知识表示与推理模型。以分布函数来描述模糊语言变量,以可能性分布限定算法作为推理机制,为广泛应用于各种控制系统、专家系统以及人工智能各个领域的模糊推理系统提供了有效的问题描述和推理方式,拓展了Horn子句的表示,为模糊推理系统和工具的研制开发提供了基础。     

基于指标叠套法的安徽省强对流天气潜势预警研究

对2005－2007年4-9月安徽省冰雹、雷雨大风等强对流天气日数进行统计,分析了基于探空资料计算的不稳定指标与强对流天气发生的关系。结果表明：K指数、A指数、沙氏指数和对流有效位能、归一化对流有效位能和对流抑制能量这几个指标对于强对流天气指示意义较好。基于此结果,挑选K指数、沙氏指数和对流有效位能针对不同季节划分阈值,建立强对流天气潜势预警指标,并利用中尺度模式MM5的数值预报产品计算该指标,对2005-2010年13个强对流天气过程预报结果进行对比检验表明,MM5模式给出的强对流天气潜势预警产品对大多数过程均能起到预警作用。对其中两次强对流天气过程的进一步分析表明,模式具备预报强对流发生潜势的能力,预报结果对强对流天气发生的时间、落区有预警意义。     

气象信息科学视算环境及其若干问题

多维动态气象数据的科学视算环境通过多视角的图形、图像表达方式 ,能够直接、准确地展示复杂多样的天气过程及其时空演变 ,辅助解释人员和预报人员形成天气系统的四维空间 /时间结构 ,已成为天气系统分析的重要工具。文中首先讨论了描述天气系统和天气过程的常用图形、图像表达方式 ,然后通过若干典型天气系统数值模拟结果的示例分析 ,介绍了目前气象信息科学视算环境的主要功能 ,最后结合当前的应用状况和气象科学发展的需求 ,讨论了气象信息科学视算环境中的若干问题及其解决方案 ,并展望了未来气象信息科学视算环境的发展前景。     

基于粗糙集的不确定区域RCC拓扑关系研究

基于粗糙集定义了粗糙区域和粗糙区域的上、下近似区域,提出两种基于上、下近似区域表示粗糙区域拓扑关系的方法。一种方法用上、下近似区域的连接关系表达粗糙区域拓扑关系,得出两个粗糙区域之间的6种拓扑关系,并进一步利用上、下近似区域的RCC5关系表达粗糙区域之间的拓扑关系,得出两个粗糙区域之间的51种拓扑关系,然后分析两种表达之间的联系。另一种方法扩展RCC5模型,首先定义三值逻辑的部分关系≤和补运算~,然后用三值逻辑三元组(X≤Y,X≤~Y,Y≤X)描述两个粗糙区域X和Y的拓扑关系,并给出可能的8种拓扑关系。