由构造分段求震级的历史回顾

回顾了由构造分段求震级的方法的发展及特点,介绍了由构造分段过渡到震级的两种定量方法,并就“方法” 中的有关问题做了进一步解释.     

Rupture segmentation and assessment of probabilities of seismic potential on the Xiaojiang fault zone

Spatial distribution of sources of strong and large earthquakes on the Xiaojiang fault zone in eastern Yunnan is studied according to historical earthquake data. 7 segments of relatively independent sources or basic units of rupture along the fault zone have been identified preliminarily. On every segment, time intervals between main historical earthquakes are generally characterized by “time-predictable” recurrence behavior with indetermination. A statistic model for the time intervals between earthquakes of the fault zone has been preliminarily established. And a mathematical method has been introduced into this paper to reckon average recurrence interval between earthquakes under the condition of having known the size of the last event at a specific segment. Based on these, ranges of the average recurrence intervals given confidence have been estimated for events of various sizes on the fault zone. Further, the author puts forward a real-time probabilistic model that is suitable to analyze seismic potential for individual segments along a fault zone on which earthquake recurrence intervals have been characterized by quasi-time-predictable behavior, and applies this model to calculate conditional probabilities and probability gains of earthquake recurring on the individual segments of the Xiaojiang fault zone during the period from 1991 to 2005. As a consequence, it has shown that two parts of this fault zone, from south of Dongchuan to Songming and from Chengjiang to Huaning, have relatively high likelihoods for strong or large earthquake recurring in the future. The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,15, 322–330, 1993.     

准时间可预报复发行为与断裂带分段发震概率估计

反不确定性引入“时间可预报模式”，可将一次地震之后的平静时间表示成与这次地震位错量在小呈正相关的随机变量。称这种带有不确定性的地震原地复发行为为“准时间可预报行为”。对于历史地震资料，准时间可预报复发行为可由地震后平静时间的对数与地震烈度的回归方程。文中给出了估计一条枯断裂带不同段落以上一次地震烈度值为背景的平均复发时间间隔的方法，以及可用 于对未来地震潜势进行不确定评价的实时概率模型，并以鲜水河     

鄂西清江下游主要活动断层分段、分形与地震活动

在地质调查的基础上,初步厘定了清江下游主要活动断层的现今几何轨迹结构,并从几何形态、结构特性和现今活动性三方面对其进行自然段划分;进而利用分形分维分析,估算活动断层不同区段轨迹结构的分维值。计算结果表明：每一个断层段具有一个特征性的分维值,轨迹结构越复杂,分维值越高,现今活动性越强;其中,仙女山断层带中段分维值最高, Ｄ＝ １２５７,而松园坪断层北段最低, Ｄ＝ １０１８。结合地震活动分析发现：仙女山断层带是清江下游现今活动最强的活动断裂;仙女山断层带的中小地震活动,具有间歇式 分段振荡迁移的特性;时间上地震活动期为１～５ａ,相对平静期为１０ａ 左右;空间上地震活动从南段开始,振荡迁移到北段,然后又向中段迁移,目前地震活动似乎正在向中南段边界迁移;并且,中南段断裂轨迹结构比北段复杂,分维值也高,地震活动强度相对较大,因此,未来仙女山断层带可能发生的中强地震（ Ｍｓ＝ ５０ 级左右）将主要集中于中南段,而不是北段。     

测井多尺度分析方法用于层序地层划分研究

测井数据包含了丰富的地质信息,是研究地层多尺度沉积旋回的主要资料.本文阐述了小波变换及多尺度分析方法,探讨了测井多尺度分析方法在层序地层划分中的应用.以东营凹陷某井为例,选取Morlet小波基函数对GR测井曲线进行连续小波变换,将测井信号与深度的关系转换为与深度和尺度域的变化关系.通过研究多种伸缩尺度下小波系数曲线表现出的周期性振荡特征,并结合不同测井曲线多尺度分解后的高频信号特征,划分出各级层序界面,与传统方法所划分的界面基本一致.     

一种基于对象和多种特征整合的分类识别方法研究

遥感图像空间分辨率的提高，为目标物的纹理特征和形状特征的提取提供了客观基础，同时也使得传统的基于像元的分类识别方法受到了严重的挑战。因此，需要对传统的方法进行改进或发展新的方法。本文采用面向对象的分析思想，通过图像分割和分割对象的矢量化等一系列的预处理，并在此基础上实现了目标形状信息的提取，最后综合利用光谱特征和形状特征应用模糊分类器实现两种典型的人造目标的分类提取实验。识别的精度评价主要通过目视解译完成。分析表明，形状信息的提取大大丰富了目标识别的特征库，尤其在感兴趣目标与背景物具有相近的光谱反应而形状特征有明显差异的条件下，这种利用光谱与形状特征整合的提取方法能够大大提高目标的识别精度。     

融合区域分割和边缘信息的居民地提取方法

提出了一种集成边缘和区域分割信息的目标识别方法，其目的是在中小比例尺的航空影像中提取集团式居民地。在实际的航空影像上的实验表明，融合区域分割和边缘信息能够提高居民地提取的准确率。     

基于内容的图像自适应加网方法

提出了一种新的基于图像内容纹理分割的加网方法。试验表明，该方法能够在图像输出精度较低的情况下更有效地再现原稿的层次和细节。     

基于ArcObjects的公路动态分段数据的组织与实现

介绍了ArcObjects处理空间数据的相关层次结构,在动态分段思想的基础上设计了公路分段数据存储结构,提出了公路分段数据处理过程中的组织方法,并对数据合并方法进行了改进,最后设计出了数据生产过程模型和相应的数据生产软件。     

A level-set corrector to an adaptive multiscale permeability prediction

We consider the inverse problem of permeability estimation for two-phase porous-media flow. The novel approach is based on regularization by zonation, where the geometry and size of the regions are chosen adaptively during the optimization procedure. To achieve this, we have utilized level-set functions to represent the permeability. The available data are sparsely distributed in space; hence, it is reasonable to confine the estimation to coarse-scale structures. The level-set approach is able to alter the boundaries between regions of different permeability without strict restrictions on their shape; however, when the data are sparse, a reasonable initial guess for the permeability is required. For this task, we use adaptive multiscale permeability estimation, which has the potential of identifying main permeability variations. These are described by a piecewise constant function, where the constant values are attained on rectangular zones. In the current work, we develop a level-set corrector strategy, assuming adaptive multiscale permeability estimation as a predictor.