利用最小二乘配置识别川滇地区跨断层形变异常的研究

将最小二乘配置方法的高斯型经验协方差函数模型应用于区域跨断层形变曲线的异常辅助识别。通过川滇地区跨断层形变对芦山7.0级、康定6.3级、鲁甸6.5级等地震的前兆异常判定曲线,说明最小二乘配置内插拟合可以进行区域跨断层水准形变曲线的趋势模拟和辅助查找区间异常特征,对于跨断层形变曲线异常识别有一定意义。     

西天山的增生造山过程

西天山位于中亚造山带的西南缘,经历了复杂的增生造山过程。它也是标志塔里木地块北部被动陆缘与西伯利亚地块南侧宽阔活动陆缘最后拼合的构造带。根据近年来的研究进展,将西天山划分为北天山弧增生体、伊犁地块北缘活动陆缘、伊犁地块、伊犁地块南缘活动陆缘、中天山复合弧地体、西天山（高压）增生楔和塔里木北部被动大陆边缘。同时综述了西天山蛇绿岩、高压变质岩、花岗岩类的年代学新资料,讨论了其增生造山的过程。西天山增生造山与早古生代帖尔斯克依古洋、早古生代晚期—晚古生代南天山洋和晚古生代北天山洋3个代表洋盆的演化相关,增生造山结束的时间可能是早石炭世末。二叠纪时期,西天山至整个中亚地区进入后碰撞演化阶段。现有资料证实西天山为晚古生代增生造山带,并非三叠纪碰撞造山带。     

动态高压下陨石矿物的冲击熔融和分离结晶及其地球化学意义

应用近代微束矿物学分析测试技术,对在中国陨落的随州、寺巷口和岩庄等三块球粒陨石中矿物的冲击熔融和分离结晶作用进行了较系统的研究。查明存在有硅酸盐单矿物熔体、硅酸盐矿物混合熔体和全岩熔体三种组成不同的冲击熔体。研究结果显示:(1)三种熔融相与未熔相之间在主成分和微量元素组成上没有明显差别,说明它们是原地熔融的产物,但在较大的冲击熔块中,也发现冲击熔融作用引发了一部分元素,如亲铁元素、硒元素和轻重稀土元素的分异现象;(2)查明Al2O3、Cr2O3、Na2O和CaO等优先进入从冲击熔体结晶的辉石常压相或辉石的高压相——镁铁榴石(属地幔过渡带矿物)中;(3)Al元素能进入阿基莫石(即辉石的钛铁矿结构相,属下地幔矿物)中,以固熔体形式稳定下来。ELNES的测定查明,其氧化铁组分中Fe3+/∑Fe的比值高达0.67(3);(4)陨石全岩熔体中硅酸盐相与金属-硫化物相之间为完全不混熔,后者以孤立的共结体团块产于硅酸盐熔体之中,除Zn、Na、Cr、Co和Cu在硫化物相中和Na在金属相中有明显富集外,其他元素的浓度则无明显变化;(5)在寺巷口陨石熔脉的金属-硫化物共结团块内发现了FeNi金属-硫化铁-磁铁矿组合,进一步证实了S和O等轻元素可以加入到以Fe-Ni金属为主要组成的地核成分中去;(6)在岩庄陨石的FeNi金属-硫化铁共结体团块的硫化铁内发现了Na、Mn和Fe的磷酸盐矿物小球体,说明P和Na、Mn等元素也能成为地核的组成元素。以上研究在行星演化、地幔矿物学和地球化学,以及陨石学研究上均有着重要的科学意义。     

井间电磁波数值模拟及成像技术

系统地介绍了井间电磁波数值模拟与成像方法的研究现状。正演方面主要讨论了有限差分、有限元和积分方程法,分析了各种方法的优缺点、适用范围,并指出了未来发展趋势;反演方面主要讨论了线性反演和非线性反演,根据井间电磁波成像的性质,对时间域和频率域线性反演方法分别做了详细论述,并给出了未来发展趋势。     

基于MODIS反演祁连山七一冰川雪粒径

基于MODIS 500 m分辨率数据,利用MODTRAN 4+模型和可见光波段、近红外波段的波段比方法反演雪粒径,建立1个消融期内的雪粒径变化的时间序列,通过采集七一冰川上设立的观测点对应时间段内雪粒径验证MODIS模拟的雪粒径值,结合位于观测点附近的气象站的气温数据,探讨气温对雪粒径的影响。结果表明,雪粒径的增长存在着明显的日变化趋势;模拟的雪粒径普遍高于实测的雪粒径值,因此反演模型需要约为1.1倍的校正因子;气温对雪粒径的影响显著。     

江陵凹陷深层富钾卤水井内降温析盐情况探讨

江陵凹陷位于湖北省江汉盆地西南部,其赋存有高温高压深层富钾卤水,该卤水资源在开发过程中遇到的主要问题是采卤过程中的结盐堵井。不考虑压力等其它因素,只探讨单一因素温度对氯化钠溶解度的影响,资料分析显示在50～150℃之间时,温度与溶解度线性关系较好;探索了岗钾1井井内析盐规律,发现在井深为1 600～2 400 m时析盐量最大。根据此规律,建议采用注入淡水法,使井内卤水得到稀释,以达到防止结盐的目的;建议稀释到对氯化钠溶液浓度略小于28.3%,注水井深2 400 m。     

Clustering of temporal event processes

A temporal point process is a sequence of points, each representing the occurrence time of an event. Each temporal point process is related to the behavior of an entity. As a result, clustering of temporal point processes can help differentiate between entities, thereby revealing patterns of behaviors. This study proposes a hierarchical cluster method for clustering temporal point processes based on the discrete Fréchet (DF) distance. The DF cluster method is divided into four steps: (1) constructing a DF similarity matrix between temporal point processes; (2) constructing a complete linkage hierarchical tree based on the DF similarity matrix; (3) clustering the point processes with a threshold determined by locating the local maxima on the curve of the pseudo-F statistic (an index which measures the separability between clusters and the compactness in clusters); and (4) identifying inner patterns for each cluster formed by a series of dense intervals, each of which contains at least one event of all processes of the cluster. The contributions of the article are: (1) the proposed DF cluster method can cluster temporal point processes into different groups and (2) more importantly, it can identify the inner pattern of each cluster. Two synthetic data sets were created to illustrate the DF distance between temporal point process clusters (the first data set) and validate the proposed DF cluster method (the second data set), respectively. An experiment and a comparison with a method based on dynamic time warping show that DF cluster successfully identifies the preconfigured patterns in the second synthetic data set. The cluster method was then applied to a population migration history data set for the Northern Plains of the United States, revealing some interesting population migration patterns.     

全国主要构造区GPS水平运动负位错反演与应变积累特性

利用2009～2011年全国GPS水平运动速度场资料,借助负位错反演,寻找新疆、青藏块体东北缘、川滇、华北地区主要活动断裂能量积累闭锁段,研究其积累速率、闭锁深度、分区分段差异性,及与强震孕育—发生的可能关系。结果表明:(1)新疆天山地区应变积累速率最强,平均闭锁深度也最深,约20.9km。其次为川滇地区,平均深度约16.3km。青藏块体东北缘存在一定程度应变积累,平均深度约15.7km。华北地区应变积累最弱,平均深度约16.0km;(2)南天山西段、川滇交界东部、红河断裂中段至滇西、祁连山断裂带西段、西秦岭北缘断裂甘青交界段、晋冀蒙交界区近期能量积累相对显著。     

Plant Species Richness Increased Belowground Plant Biomass and Substrate Nitrogen Removal in a Constructed Wetland

The effects of plant species richness on both above‐ and belowground plant biomass, plant nitrogen (N) pool size, and substrate N concentrations were studied in a full‐scale subsurface vertical‐flow constructed wetland (CW). Results showed that (i) plant species richness increased belowground plant biomass and its N pool size but had no effect on aboveground plant biomass and its N pool size; (ii) plant species richness increased substrate N removal, especially ammonium N removal; and (iii) plant species richness had no effect on plant N use efficiency, suggesting that the N pool size increased with increasing plant species richness. More N accumulation could be removed through harvesting plant biomass. We concluded that the N removal performance of the CW improved by plant species richness through increasing belowground biomass and relevant N pool size.     

基于神经网络的房地产估价研究

根据房地产估价的特点将人工神经网络引入到房地产价格评估领域,创建了基于神经网络的房地产估价模型,在对训练样本验证结果分析的基础上,对两种神经网络估价模型进行了对比分析,指出了两种网络各自的优缺点以及改进措施。