1966年云南东川6.5级地震的热异常时空结构分析

本文分析了１９６６年云南东川６．５级地震前后浅层地温异常的时空结构及降水异常的水平结构。分析表明，震前数月浅层地温稳定维持正异常，发震前一个月激剧增温，发震当月达最大，震后降低；震前震中区为负地温距平区，随发震时刻临近，负距平区迅速演变为正距平区，而且强度和面积都不断增大，至发震时达最大，震后不断减小；热异常是从深层传向地表的；震中区震前为旱区，震后为涝区。本文还讨论了震源处热信息传到地表的条件和可能机制，认为在水热活动异常的断裂带上，至少对于浅源地震，对流传热是一种较为可能的传热机制。     

地震决策过程的一些思路

将翁文波（１９８４）信息预测过程的理论应用于地震的决策过程，用四个圆的交叉和重叠表示不同组合，共可分出１３个区，从决策结论是有震的情况可区分出７种不同性质的决策结果，剩下６处种都是在无决策情况下。决策有震且正确的有４种性质，决策有震且错误的有３种性质，当前，有关地震预报的理论尚很不完善，决策有震的符合比率相当低，通过决策过程的系统分析有利于理解漏报、虚报、伪报、假正确等情况的产生原因，有利于改善地     

形变信息预报地震最佳方案的提取

在原来工作的基础上①②［７］，对拟合、滑动外推、聚类分析、模糊综合评判等各个环节做了适当的改进．同时，引入概率统计中的有关知识．选择一个相对最佳评判方案，用京、津、唐地区流动点短水准，短基线资料进行了地震预报的研究，为用形变资料经过评判统计进行地震预报提供了一种可能性。最后，以讨论的方式给出了应用实例．     

Beeinflussung der Enzymaktivität einer Protease durch Huminstoffe Influence of Humic Substances on the Activity of a Protease

This paper deals with the influence of different humic substances (HS) on the enzyme activity (EA) of the proteolytic enzyme pronase E. The EA was determined by analyzing the concentration of the amino acid valine hydrolyzed from caseine. For amino acid analysis, a flourescence detector was used after precolumn derivatization and HPLC-separation of the hydrolysis products. The data show that the presence of HS has no adverse effects on amino acid analysis. Based on this result, a decrease of EA was observed in the presence of HS acting as enzyme inhibitors. Clear inhibition effects could be seen for different fulvic acids (HO3 FA, FBR FA and FBR 1.0 FA) at concentrations of 150 mg/L. In case of FBI-2 FA, higher concentrations were necessary to decrease the EA significantly. At an inhibitor concentration of 1500 mg/L the EA was mostly found to be less than 50%. The standard deviations of the results don't allow a differentiation between the HS of different origin and treatment. Specifying HS according to their influence on EA has to remain uncertain. As shown in a kinetic study of the hydrolysis of L-Leucine-2-naphthylamide-hydrochloride, the inhibitor HO3 FA decreases the maximum velocity of the reaction but has no effect on the Michaelis constant. These results indicate that this HS acts as a noncompetitive inhibitor.     

漳州-华安“地震窗”及其机制

漳州-华安是一个中强地震活动区,现今小震活动频繁。本文分析该区历史和现今地震活动特点,发现该区地震活动性涨落与闽台强震活动存在一定的相关性,因而得出该区是一个“地震窗”的认识。进而对“地震窗”的形成条件进行讨论,认为该区“地震窗”的形成是与其深部热作用所产生的向上垂直作用力紧密相关     

Hydrologic and geochemical properties of the San Andreas fault at the Stone Canyon well

The Stone Canyon well penetrates 600 m of highly fractured and severely altered quartz diorite intimately associated with the creeping segment of the San Andreas fault of central California. Geophysical logs reveal a complex hydrology dominated by major fractures. Fluid pressure in some fractures is sufficient to prevent invasion of the formation by heavy drilling mud, implying pore pressures at least 10% higher than hydrostatic ones. At least three chemically distinct waters are encountered, including a chloride brine clearly segregated from the shallow, potable groundwater. Chemical alteration of the quartz diorite persists throughout the well, far below the depth where the water-rock reactions responsible for the ubiquitous chlorite and mixed-layer clays can be considered weathering. Whole-rock ¹⁸O analyses indicate significant interaction of the rocks with a low ¹⁸O fluid within some of the fractured and altered zones, whereas a deeper sample shows¹⁸O enrichment. High pore pressures encountered in Stone Canyon may be due to tectonic compression. Measurements of temporal variations in the pore pressure at the well may provide a means of predicting earthquakes along this segment of the San Andreas fault.     

Instability model for recurring large and great earthquakes in southern California

The locked section of the San Andreas fault in southern California has experienced a number of large and great earthquakes in the past, and thus is expected to have more in the future. To estimate the location, time, and slip of the next few earthquakes, an earthquake instability model is formulated. The model is similar to one recently developed for moderate earthquakes on the San Andreas fault near Parkfield, California. In both models, unstable faulting (the earthquake analog) is caused by failure of all or part of a patch of brittle, strain-softening fault zone. In the present model the patch extends downward from the ground surface to about 12 km depth, and extends 500 km along strike from Parkfield to the Salton Sea. The variation of patch strength along strike is adjusted by trial until the computed sequence of instabilities matches the sequence of large and great earthquakes sincea.d. 1080 reported by Sieh and others. The last earthquake was theM=8.3 Ft. Tejon event in 1857. The resulting strength variation has five contiguous sections of alternately low and high strength. From north to south, the approximate locations of the sections are: (1) Parkfield to Bitterwater Valley, (2) Bitterwater Valley to Lake Hughes, (3) Lake Hughes to San Bernardino, (4) San Bernardino to Palm Springs, and (5) Palm Springs to the Salton Sea. Sections 1, 3, and 5 have strengths between 53 and 88 bars; sections 2 and 4 have strengths between 164 and 193 bars. Patch section ends and unstable rupture ends usually coincide, although one or more adjacent patch sections may fail unstably at once. The model predicts that the next sections of the fault to slip unstably will be 1, 3, and 5; the order and dates depend on the assumed length of an earthquake rupture in about 1700.     

A theoretical model for change of shape of spring-water radon anomalies with epicentral distance

A model for radon anomalies before earthquakes, with a relatively fast increase in radon concentration at the beginning of the anomaly, is postulated. A calculation based on this model shows that a parameter can be deduced from the form of the radon anomalies, which depends on the epicentral distance of the measurement point. After adjustment of some parameters the model calculation is in good agreement with observed earthquake precursor anomalies.     

Biological marker compounds as indicators of the depositions! history of the Maoming oil shale

The Eocene Maoming oil shale from Guangdong Province occurs as a laterally uniform stratigraphic section, typically 20–25 m thick, from which the aliphatic hydrocarbon constituents of six representative samples were investigated using GC and C-GC-MS. The sediments evaluated included the basal lignite, a vitrinite lens from the overlying claystone, and four intervals from the massive oil shale bed. As expected, the lignite and vitrinite differ markedly from the oil shales. The lignite is dominated by bacterial hopanoids and components of higher plant origin, including C₂₉ steroids and triterpenoids such as oleanenes. Visually, the oil shale samples show corroded and degraded phytoclasts, spores, wispy particles of fluorescent organic material attributable to dinoflagellates and, especially in the uppermost sample, colonial algal bodies. The distributions of biological markers in the oil shales show many features in common, notably a dominance of dinoflagellate-derived 4-methylsteroids, and a significant proportion of higher-plant derived n-alkanes with marked odd-over-even carbon number predominance. Overall, they exhibit several features that resemble characteristics of the Messel shale. The hydrocarbons of the lowest shale horizon suggest that there may have been a gradual transition between deposition of the original peat and the subsequent oil shales. The aliphatic hydrocarbons of the uppermost shale are dominated by a number of C₃₁ and C₃₃ botryococcane homologues and other unusual branched alkanes possibly derived from green algae. All of the samples are immature. Overall, molecular and microscopic examination of the stratigraphic succession of the Maoming oil shale suggests a shallow, lacustrine environment within which peats were deposited. This lake subsequently deepened to support abundant algal populations, especially dinoflagellates, culminating in a dominance of botryococcoid algae.     

随机性细胞自动机的地震模拟的动力学含义

结合随机的能量输入和确定的能量损耗，本文用随机性细胞自动机(CA)进行了地震事件的数字模拟，并对事件进行了能量分维和时间序列的多重分形分析。初步结果表明，大量事件的能量-频次的统计分布可能遵从最经典的Gutenberg—Richter关系．不同的初始能量分布和不同的能量传递准则都对模型的输出产生影响，b值与模型参数的设置密切相关，地震现象本质上的复杂性可能是随机性与确定性的统一体现。