内蒙古色尔腾山山前断裂带乌加河段古地震活动

通过对色尔腾山山前断裂带乌加河段断层地貌研究，并结合前人对断裂带断裂活动性的工作，分析得到乌加河活动断裂段晚更新世晚期(距今1.445～2.234万年)以来平均垂直位移速率是0.48～0.75 mm/a，全新世早中期以来(距今5 570～8 830年)平均垂直位移速率是0.56～ 0.88 mm/a．利用5个探槽中揭露的古地震现象，结合前人对该断裂带古地震的研究结果，分析确定出2.7万年以来，色尔腾山山前断裂乌加河段共揭露出5次古地震事件，重复间隔约为4 300～4 400年．距今8 000～9 000年之间可能为一个古地震丛，而距今1～2万年之间可能遗漏了两次古地震事件．对比断层陡坎的高度与探槽中揭示出古地震事件的位移和，以及由断层平均位移速率和一次事件的位移得到古地震的重复间隔，得到阿拉盖兔探槽中缺失了3次古地震事件，整个活动断裂段上可能缺失了两次古地震事件．      

基于多普勒频移的单频载波相位周跳探测

阐述了多普勒探测周跳的原理,利用了静态和车载动态高频数据的L1上的载波和多普勒观测值,试验探测了其周跳。     

时变参数PGM（1,1）模型在变形监测中的应用研究

给出了时变参数PGM（1,1）模型的数值解法,比较了其与GM（1,1）、PGM（1,1）模型的预测精度,分析了灰区间作为预测结果的可靠性。     

位错模式反演的算法研究

综述了大地测量反演算法的发展状况，详细介绍了模拟退火，随机耗费和区间算法等3种优化方法，并基于位错模式，采用模拟的重力测量观测数据，比较了3种算法的反演效果，结果表明：模拟退火法优于随机耗费法，而区间算法的可靠性又优于模拟退火法，区间算法是最可靠的反演方法。     

论多种数据联合反演的模式及算法

针对日益丰富的数据资料，综述了大地测量反演的发展进程，论述了多种数据联合反演的意义和必要性，给出了兼顾权比确定的大地测量、地震和地质三类数据的联合反演模式及采用水准测量、GPS和重力三种数据联合反演断层参数的具体公式，特别介绍了求解优化问题所有全局最优解的区间算法，并给出了基本算例，结果体现了区间算法无可比拟的优越性及其在大地测量反演领域中的应用前景。     

二维任意倾斜地层的层速度计算结果分析

本文主要介绍沙赫(Shan,P.M.)公式,对二维任意倾斜地层的层速度计算的应用效果。依据实际地层剖面Φ、V、Z参数的可能变化,设计18个较为复杂的地层模型进行了大量试算,并与Dix公式计算结果作了对比,表明对任意倾斜地层应采用沙赫公式提取层速度才是适宜的。     

Average slip rate,earthquake rupturing segmentation and recurrence behavior on the Litang fault zone,western Sichuan Province,China

The Litang fault zone (LFZ) is an important active fault within the northwestern Sichuan sub-block. To-gether with the Garzê-Yushu, Xianshuihe, and An-ninghe fault zones on its northern, eastern and south-eastern sides, the LFZ constitutes the lateral extrusion tectonic system in the southeastern part of the Qing-hai-Tibetan Plateau[1,2] (Fig. 1). According to instru-mental records, historical recordings and field investi- gation, an earthquake (Ms7.3) occurred on its middle to south se…     

Bias and uncertainty in regression-calibrated models of groundwater flow in heterogeneous media

Groundwater models need to account for detailed but generally unknown spatial variability (heterogeneity) of the hydrogeologic model inputs. To address this problem we replace the large, m-dimensional stochastic vector β that reflects both small and large scales of heterogeneity in the inputs by a lumped or smoothed m-dimensional approximation γθ_∗, where γ is an interpolation matrix and θ_∗ is a stochastic vector of parameters. Vector θ_∗ has small enough dimension to allow its estimation with the available data. The consequence of the replacement is that model function f(γθ_∗) written in terms of the approximate inputs is in error with respect to the same model function written in terms of β, f(β), which is assumed to be nearly exact. The difference f(β) − f(γθ_∗), termed model error, is spatially correlated, generates prediction biases, and causes standard confidence and prediction intervals to be too small. Model error is accounted for in the weighted nonlinear regression methodology developed to estimate θ_∗ and assess model uncertainties by incorporating the second-moment matrix of the model errors into the weight matrix. Techniques developed by statisticians to analyze classical nonlinear regression methods are extended to analyze the revised method. The analysis develops analytical expressions for bias terms reflecting the interaction of model nonlinearity and model error, for correction factors needed to adjust the sizes of confidence and prediction intervals for this interaction, and for correction factors needed to adjust the sizes of confidence and prediction intervals for possible use of a diagonal weight matrix in place of the correct one. If terms expressing the degree of intrinsic nonlinearity for f(β) and f(γθ_∗) are small, then most of the biases are small and the correction factors are reduced in magnitude. Biases, correction factors, and confidence and prediction intervals were obtained for a test problem for which model error is large to test robustness of the methodology. Numerical results conform with the theoretical analysis.     

双频相位求差法探测与修复周跳特性分析

周跳的探测与修复是GPS载波相位数据处理中一项重要的任务。首先介绍了双频相位求差法探测与修复周跳的原理;其次,利用Fortran语言编制了相应的程序,并通过实例分析了在不同采样率下探测周跳与修复的效果;最后讨论了该方法探测周跳的不足。