地震勘探方法在江西九江-瑞昌地区寻找隐伏岩(矿)体的应用及效果

提供了地震勘探方法在金属矿区寻找隐伏火成岩(矿)体的应用技术和地质成果。通过钻探工程验证,其结果与地震解释推断的结论有较好的吻合。这种尝试对拓宽地震勘探服务领域有重大意义。     

综合物探方法在地质灾害调查中的应用研究

介绍了在地质灾害调查中常用的几种物探方法的适用条件和应用范围,并通过实例展示了各种方法的应用效果。结果表明浅层物探方法应用效果显著,在地质灾害调查中具有较好的应用前景。     

山东淄博地区奥陶系层序地层划分和层序界面的识别标志

研究区为华北地台东部奥陶系发育最全的地区之一。区内出露下、中奥陶统 (两河口阶至宝塔阶 ,时限 4 95～ 4 4 5Ma)。岩石地层划分为三山子组和马家沟组。通过对野外剖面系统的观测 ,按碳酸盐岩台地层序地层的研究方法 ,识别出区内奥陶系 8个三级层序 (OSq1-OSq8)和 4种层序界面标志。平均每个三级层序延限约 6Ma ,OSq1由三山子组B段 (TST)和A段 (HST)组成。马家沟组含东黄山段、北庵庄段、土峪段、五阳山段、阁庄段、八陡段和新汶段。东黄山段至土峪段含 2个层序 (OSq2和OSq3 )。五阳山段和阁庄段包含 3个层序(OSq4 -OSq7)。八陡段 (TST)和新汶段 (HST)组成最上部一个层序 (OSq8)。通过与河北唐山等地区同期地层的对比 ,提出华北地台下、中奥陶统 (两河口阶至宝塔阶 )可划分为 11个三级层序 ,探讨了华北地台下、中奥陶统层序差异性的可能的控制因素。     

清水李沟井与礼县石桥井流量异常变化与地震的关系

分析了清水李沟井与礼县石桥井汉量变化与邻近地区发生的中强地震的对应关系。发现在邻近地区发生的部分中强地震前半年左右2口井的流量开始出现上升或波动现象，异常变化的幅度最大可达3．75mL/s，对震级较小，而且距离较远的地震无明显的异常反映。2口井流量异常对5级地震的映震范围为250km，6级地震为350km，7级地震为500km。     

Characteristics and Implication of the Earthquake Swarm Occurred in Fuzhou in September 1999

on Septmeber 23,1999,an earthquake swarm occured in Fuzhou,Because the swarm occurred in the region where earthquaks occurred scarcely before and very close to the center of the city as well as shortly after the Jiji earthquake with Ms7.6 in Taiwan,September 21,1999,has aroused interest broadly.In this paper,we analyzed the characteristics of spatial and temporal distribution of the earthquake swarm and validated magnitude-number constituent of the swarm is special.In present theory,the earthquake swarm means that a small scale macro original rupture has formed in the layer of the crust in Fuzhou region where moderately strong earthquake risk exists.     

Analysis on Depth Distribution and Precursor Mechanism of Small and Moderate Earthquakes

ＩＮＴＲＯＤＵＣＴＩＯＮＲｅｓｅａｒｃｈｏｎｅａｒｔｈｑｕａｋｅｆｏｃｕｓｄｅｐｔｈｄｉｓｔｒｉｂｕｔｉｏｎａｎｄｉｔｓｐｈｙｓｉｃａｌｂａｃｋｇｒｏｕｎｄｉｓｏｎｅｏｆｍｏｓｔａｔ ｔｅｎｔｉｖｅｐｒｏｂｌｅｍｓ.Ｐｒｏｆ.ＦｕＺｈｅｎｇｘｉａｎｇ (1 996)ｒｅｓｅａｒｃｈｅｄｔｈｅｒｅｌａｔｉｏｎｓｂｅｔｗｅｅｎｆｏｃｕｓｄｅｐｔｈｄｉｓｔｒｉｂｕ ｔｉｏｎｏｆａｆｔｅｒｓｈｏｃｋｓ ,ｃｒｕｓｔａｌｖｅｌｏｃｉｔｙｌａｙｅｒｓａｎｄｓｕｒｆａｃｅｔｈｅｒｍａｌｆｌｏｗ .Ｒｅｓｅａｒｃｈｏｎｆｏｃｕ…     

Neuro‐control of seismically excited steel structure through sensitivity evaluation scheme

The neuro‐controller training algorithm based on cost function is applied to a multi‐degree‐of‐freedom system; and a sensitivity evaluation algorithm replacing the emulator neural network is proposed. In conventional methods, the emulator neural network is used to evaluate the sensitivity of structural response to the control signal. To use the emulator, it should be trained to predict the dynamic response of the structure. Much of the time is usually spent on training of the emulator. In the proposed algorithm, however, it takes only one sampling time to obtain the sensitivity. Therefore, training time for the emulator is eliminated. As a result, only one neural network is used for the neuro‐control system. In the numerical example, the three‐storey building structure with linear and non‐linear stiffness is controlled by the trained neural network. The actuator dynamics and control time delay are considered in the simulation. Numerical examples show that the proposed control algorithm is valid in structural control. Copyright © 2001 John Wiley & Sons, Ltd.     

Seismic interaction in linearly connected electrical substation equipment

An electrical substation consists of a complex set of equipment items that are interconnected through conductor buses or cables. If the connections are not sufficiently flexible, significant dynamic interaction may occur between the connected equipment items during a seismic excitation. This interaction is believed to be responsible for some of the observed substation equipment damage in recent earthquakes. This paper investigates the interaction between two equipment items connected by a linear spring‐dashpot or spring‐dashpot‐mass element representing a conductor bus. It is found that the interaction between the two equipment items may significantly amplify the response of the higher‐frequency equipment item. The influences of various key parameters on the interaction effect are quantified. Means for reducing the adverse interaction effect are described. Copyright © 2001 John Wiley & Sons, Ltd.     

Factors affecting sediment trapping in vegetated filter strips: simulation study using VFSMOD

Soil and water conservation practices have been promoted for a long time, in order to sustain agricultural activities and prevent environmental pollution. Vegetated filter strips (VFS) have been used to reduce sediment pollution into water bodies at or near the pollutant source. However, factors effecting VFS performance under natural conditions have not been well understood owing to the physical, time and financial limitations of field experiments. The use of well‐validated simulation models to understand the performance of VFS and factors affecting sediment deposition is highly justified. The objective of this research is to investigate sediment trapping in VFS and to study various factors affecting VFS performance using the simulation model VFSMOD, which was developed by researchers at University of North Carolina. Recently, VFSMOD has been validated successfully by using 21 filters with varying length, slope and vegetated cover. A wide range of five parameters was selected for the simulations, namely filter length, filter slope, manning roughness coefficient, soil type and characteristics of incoming sediment from adjacent fields. Computer simulations revealed that the length of filter is the most significant factor affecting sediment trapping in VFS. The relative increase in trapping efficiencies was not linearly related to an increase in filter length. Inflow sediment class also has a major influence on sediment trapping in VFS. The trapping efficiency of clay sediments in a 15 m length VFS was 47% compared with 92% for silt from incoming sediment. Manning roughness coefficient had a moderate effect on sediment trapping and was more significant in short filters. Land slope and soil type of VFS had a minor influence on the performance of VFS. Copyright © 2001 John Wiley & Sons, Ltd.