潜孔锤跟管钻进技术在小浪底水利观测孔工程的应用

在黄河小浪底水利枢纽观测孔工程中,采用气动潜孔锤跟管钻进结合双动力头钻机成功地解决了普通气动潜孔锤及常规钻进工艺在厚度达50 m渣石层成孔难的问题。     

基于Excel的条件平差解算

在测量平差计算中,相当多的计算工作是矩阵转置、求逆、相乘等,人工解算容易出错,且现有各种平差软件一般均为过程隐含式的,不利于测量初学者掌握测量平差原理。探讨利用电子表格软件(Excel2003)的内置函数中的矩阵运算功能处理测量平差计算的方法,并以水准网条件平差的解算为例,介绍其使用方法及使用技巧,得到一些有益的结论。     

North-south transfer zones and paleo-morphological reconstruction of the Xylokastro area (Corinth Gulf, Greece)

A large number of studies have documented the structural and sedimentary architecture of the Corinth Gulf, especially the major E–W trending normal faults important in accommodating the main extensional strain and associated growth of the Gilbert fan deltas. However, the role of several N–S oriented structures that crop out at the surface and are detectable at depth by seismic reflection and gravity surveys are not clearly understood. Based on new geological data, collected near Xylokastro, we describe the N–S oriented tectonic activity of this area. The mapped inland faults correspond to off-shore structures identified in re-interpreted seismic lines and appear to have acted as a major transfer zone during the opening of the Corinth Gulf. Reconstruction of the paleo-topography based on sedimentary facies and the environment of clay mineral formation suggest these transfer zones played an important role in controlling both local structural relief and depositional conditions of the Gilbert fan deltas.     

Solubility of FeO in (Mg,Fe)SiO3 perovskite and the post-perovskite phase transition

Phase relations in Mg_0.5Fe_0.5SiO₃ and Mg_0.25Fe_0.75SiO₃ were investigated in a pressure range from 72 to 123 GPa on the basis of synchrotron X-ray diffraction measurements in situ at high-pressure and -temperature in a laser-heated diamond-anvil cell (LHDAC). Results demonstrate that Mg_0.5Fe_0.5SiO₃ perovskite is formed as a single phase at 85–108 GPa and 1800–2330 K, indicating a high solubility of FeO in (Mg,Fe)SiO₃ perovskite at high pressures. Post-perovskite appears coexisting with perovskite in Mg_0.5Fe_0.5SiO₃ above 106 GPa at 1410 K, the condition very close to the post-perovskite phase transition boundary in pure MgSiO₃. The coexistence of perovskite and post-perovskite was observed to 123 GPa. In addition, post-perovskite was formed coexisting with perovskite also in Mg_0.25Fe_0.75SiO₃ bulk composition at 106–123 GPa. In contrast to earlier experimental and theoretical studies, these results show that incorporation of FeO stabilizes perovskite at higher pressures. This could be due to a larger ionic radius of Fe²⁺ ion, which is incompatible with a small Mg²⁺ site in the post-perovskite phase.     

京津冀地区地下流体数字化观测数据完整率及其地震前兆监测有效性的调查与分析

在北京、天津、河北二市一省部分地区抽样调查了13口井水位、11口井水温、5口井气氡、2口井气汞、2口井氦气数字化观测现状,统计分析了其数据完整率及观测断记次数与数据缺失量;在调查观测数据断记及其原因的基础上,进一步统计分析了数据缺失的主要原因,分析了连续完整的数据系列在地震前兆监测中的有效性。研究结果表明,除了氦气之外,水位、水温、气氡与气汞4大主要测项的运行,总体上是正常的;但多数井多数测项存在断记与数据缺失的问题,其主要原因是仪器故障与运行不正常,其次是停电、通信线路故障与雷击,此外还存在原因不明的断记与缺数的问题;以井统计,约有1/2的水位与水温观测井可在地震中期与短临前兆中发挥作用,而气氡、气汞等化学量观测只在地震短临前兆监测中,约有一半的井有可能发挥一定效能。     

关于(超)高压输变电系统地震安全性评价工作的认识

通过对(超)高压输变电系统在社会经济中的地位及其地震破坏情况的简要分析,确认了(超)高压输变电系统工程属于"重大建设工程"的范畴,必须开展相应的地震安全性评价工作。输变电系统具有远距离,长跨越的特点,其抗震设防标准应分段作评定。     

提高地磁绝对观测数据精度的有效途径

经过长期观察发现用CZM-2型核旋仪(及其同类仪器)进行定点观测读数时,运用分量仪线圈“单向”旋转的方法进行分量观测,再加上做好一些其它辅助措施,能够充分消除人为因素和仪器本身误差所带来的影响,明显提高仪器的观测精度,达到使观测资料更加准确的目的。     

数据挖掘技术在水文预报中的应用及水文预报发展趋势研究

数据挖掘作为知识发现过程中的重要步骤,是从大型数据库中提取未知的、有价值的和可操作性的关系、模式和趋势用于决策支持的过程。我国目前在防洪领域存在着大量水文数据,如何充分有效地利用各种智能算法对这些数据进行分析与挖掘,以形成相应的水文预报模型进行准确的水文预报是防洪决策支持系统完善和发展的重要方面。本文首先全面地介绍数据挖掘的功能分类及以数据挖掘为基础的水文预报体系,然后对数据挖掘技术在水文预报中的应用进行了探讨和研究。     

乌鲁木齐河流域地下水水位监测网设计

文章阐述了乌鲁木齐河流域区域地下水水位监测网的优化设计。基于ARCGIS技术,运用水文地质学方法在叠加合成地下水动态类型分区图的基础上优化设计了区域地下水水位监测网密度;采用时间序列分析方法确定了地下水水位监测频率。首期施工安装了11个新的长期专门监测孔;对73个现有监测孔进行了维修并安装了孔口保护装置,安装了28套水位自动监测仪,初步实现了地下水水位的自动监测。     

A Comparison between a Modified Counter Propagation Network and an Extended Self-Organizing Map in Remotely Sensed Data Classification

A modified counter propagation network model and an extended self-organizing map model have the same three-layer network architecture while employing slightly different learning rules. Their network architecture comprises an input layer, a Kohonen layer and an output layer. The neurons between two neighboring layers are fully connected and the neighboring neurons within the Kohonen layer also have neighborhood connections. The modified counter propagation network model employs the Kohonen algorithm to train the Kohonen layer while using the Widrow–Hoff rule to train the output layer. However, the extended self-organizing map model applies a modified Kohonen’s learning rule to train both the Kohonen layer and the output layer. This paper compares the performances of these two models in supervised classification of remotely sensed data. The training results show that compared to the extended self-organizing map model, the modified counter propagation model has faster learning speed but larger output errors. The classification results indicate that the extended self-organizing map model has a faster classification speed and a much higher classification precision than the modified counter propagation model.