欧洲98版本地震烈度表简介

对欧洲98地震烈度表(EMS—98)作了筒要介绍，内容包括不同建筑结构类型的易损性等级、钢混建筑的破坏等级、砖石建筑的破坏等级、描述性术语的定量意义、欧洲98地震烈度表中考察的影响因素及烈度表全文。     

Coral δO records as an indicator of winter monsoon intensity in the South China Sea

We have used correlative analysis between mean December-January-February winter wind velocities, measured at the Xisha Meteorological Observatory (16°50′N, 112°20′E) in the middle of the South China Sea, and mean δ¹⁸O data for the corresponding month from Porites lutea coral, collected in Longwan waters (19°20′N, 110°39′E), to obtain a linear equation relating the two datasets. This winter wind velocity for the South China Sea (WMII_scs) can then be correlated to the coral δ¹⁸O by the equation WMII_scs = −1.213-1.351 δ¹⁸O (‰ PDB), r = −0.60, n = 40, P = 0.01. From this, the calculated WMII_scs-δ18O series from 1944 to 1997 tends to decrease during the 1940s to the 1960s; it increases slightly during the 1970s and then decreases again in the 1980s and 1990s. The calculated decadal mean WMII_scs-δ18O series had a obvious decrease from 5.92 to 4.63 m/s during the period of 1944-1997. The calculated yearly mean WMII_scs-δ18O value is 5.58 m/s from 1944 to 1976 and this decreases to 4.85 m/s from 1977 to 1998. That is the opposite trend to the observed yearly mean SST variation. The yearly mean SST anomaly is −0.27° from 1943 to 1976 and this increases to +0.16° from 1977 to 1998. Spectral analysis used on a 54-year-long calculated WMII_scs-δ18O series produces spectral peaks at 2.4-7 yr, which can be closely correlated with the quasibiennial oscillation band (QBO band, 2-2.4 yr) and the El Ñino southern oscillation band (ENSO band, 3-8 yr). Hence most of the variability of the winter monsoon intensity in the middle of the South China Sea is mainly constrained by changes in the thermal difference between the land and the adjoining sea area, perhaps due to global warming.     

Model of Probabilistic Prediction for Life Loss

I.INTRODUCTION A great deal of 1ife lOSS data from the strong earthquakes.especially the total deathtoll in eachstrong shock,has been accumulated in some densely populated areas.In the record ofthe injuries anddeaths from earthquakas,the death mark iS easier to be judged SO that Bhth(1978)suggested chat thedeathtoll would be used as a mark of the level of the earthquake destruction.He considered that insome cases.the deathtoll of life would be more effective than the destruction number…     

广西茶山锑矿区萤石成因的稀土元素地球化学研究

对茶山锑矿区大量出现的萤石进行稀土元素地球化学研究,萤石稀土元素具有略向左倾的平坦型和Ce强烈富集,Sm、Eu相对亏损型两种分布形式,萤石是整个热液作用过程的产物。     

国际金价走势及对策

在世界金矿资源勘查、黄金生产、黄金储备和黄金消费资料分析的基础上,作者就金价下跌、我国金价与国际全面接轨对我国特别是对地勘行业的黄金勘查和生产状况的影响进行了分析。作者认为,世界巨量黄金储备是制约目前国际黄金价格的主要因素。但在黄金价格已接近或低于生产成本线的情况下,金价的下跌幅度有限,亦不会长久。我国的黄金企业只有采取规模经营和苦练内功等,方能降低生产成本,提高经营效益,才有资格参与国际竞争。     

冲淤河道水位预报模型及其应用

根据河流动力学基本方程,采用水文学与水-沙关系相结合的方法,建立了适用于不受回水顶托影响,以悬移质为主且水-沙关系良好的冲淤河道的水位预报模型,应用于渭河咸阳-华县河段,精度提高。     

堵江滑坡作坝的主要工程地质问题及利用情况分析

国内外大量的文献资料和作者野外现场调查表明:滑坡堵江成坝形成堰塞湖在山区一带广泛发育,研究发现堵江滑坡作坝存在的工程地质问题主要包括渗透变形、稳定性、沉降及不均匀沉降和砂土液化问题。文中对上述工程地质问题进行了探讨,并对滑坡坝的利用情况进行了实例分析,为开发堵江滑坡坝、堰塞湖蕴含的丰富水利水电资源起指导性作用。     

四川宝兴县大板桥滑坡坝的基本特征及成因机制分析

在野外现场调查的基础上,对四川省宝兴县硗碛水电站下游５００ｍ处的大板桥滑坡坝的基本特征及成因机制进行了分析。     

利用测震台网记录获得加速度波形的方法研究

研究了从测震台网速度记录获得高质量加速度波形的方法，并以天津蓟县台安装的CTSI-EDAS24速度型甚宽带地震仪和EST-Q4128型强。震仪对同一地震记录的处理分析为例，对计算步骤和处理方法进行了详细论述。处理结果的对比分析表明，该方法简单有效，拓宽了数字测震台网波形记录的服务应用范围。     

Statistical analysis of background noise in seismic prospecting

From a conventional viewpoint, seismic‐prospecting background noise is usually regarded as the product of a stationary and Gaussian stochastic process. In this paper, we use statistical methods to investigate the properties of the land‐seismic‐prospecting background noise on stationarity, Gaussianity, power spectral density, and spatial correlation. We use and analyse the passive noise records collected by receiver arrays at different typical geological environments (desert, steppe, and mountainous regions). Differences exist in the statistical properties of the background noise from different geological environments, but we still find some common characteristics. It is shown that the background noise is not strictly stationary and has different stationary properties over different timescales. Most of the noise records appear to be a Gaussian process when examined over a period of about 20 s but are found to be non‐Gaussian when examined over shorter periods of about 1 s. The background noise is a kind of colored noise, and its energy mainly concentrates in the low‐frequency bands. We also find that the spatial correlation of the background noise is weak. The results of this paper provide a scientific understanding about the properties of seismic‐prospecting background noise.