1927年古浪8级大震地表破裂特征及形成机制

野外考察结果表明,１９２７年古浪８级大地震造成了６段不同规模、不同方向、不同力学成因、不同等级的地表破裂,构成了呈面状分布的复杂地震破裂带,与我国西部地区由走滑断层运动形成的破裂带相比具有较大差异。其中的４段破裂与极震区及余震分布的位置相重合,主体散布在冬青顶北麓一带,沿皇城－双塔活动断裂的东段和武威－天祝活动断裂北段分布,是１９２７年古浪地震的主破裂带。其余两段分别分布在Ⅸ度区内的皇城－双塔断裂中段和西山堡－滴水崖断裂带上,是高烈度区内的次级破裂。４段主破裂是在统一构造应力场作用下形成的产物,具有统一变形机制。其中冬青顶张性破裂带是发育在山前下方寨－严家新庄逆断层上盘的次级张性破裂,而主破裂是由逆断层运动在寺儿沟滩等处的山前洪积台地上产生的     

三维地震数据的方位角时差校正及其应用

三维地震数据的同一共中心点道集是由不同方位角的地震道组成的。当地下地层倾斜时,共中心点道集的反射同相轴就存在方位角时差。本文根据方位角时差校正（ＡＭＯ）的基本原理,从ｆ－ｋ域的正、逆ＤＭＯ出发,通过稳相法得到积分法ＡＭＯ脉冲响应的时间、振幅因子公式。把ＡＭＯ应用于一束实际三维地震数据处理,经ＡＭＯ处理后的剖面绕射波和断面反射波得到了加强,其效果是令人满意的。     

金属成矿各论(二)

本文从分散元素讨论金属成矿问题,这必然涉及到与它们共存金属的成矿体系。因而提出金属元素的产生和资源类型之间的关系问题,供今后研究。一、一般情况分散元素是一个经验名词,是指常存在于另一种主金属矿物中的元素,它们虽在一定条件下也可以形成独立矿物,但是它们很少形成自己的独立矿石。因此,找分散元素的富集点常是在金属矿石里下工夫。     

黄河三角洲短期暴雨预报系统

在天气学分析的基础上,利用１９９０～１９９５年日本数值预报产品与实时资料相结合,研制黄河三角洲短期暴雨预报系统,经１９９６年使用效果较好。     

Electro-connection marine corrosion test method and its application

Corrosion of marine steel constructions may vary to a considerable extent owing to their different locations such as atmosphere, splash zone, tidal zone, immersion zone and mud zone^{[7, 8]}. A rather lengthy hanging steel sample is needed to test its corrosion resistance in various environments. But it is cumbersome to handle and not convenient for frequent observation and maintenance. So an indoor analogue test method is generally adopted for this purpose^[1]. This paper is a report of such a test. Contribution No. 1333 from the Institute of Oceanology, Academia Sinica.     

Zonal displacement of western Pacific warm pool and zonal wind anomaly over the Pacific Ocean

The thermal condition anomaly of the western Pacific warm pool and its zonal displacement have very important influences on climate change in East Asia and even the whole world. However, the impact of the zonal wind anomaly over the Pacific Ocean on zonal displacement of the warm pool has not yet been analyzed based on long-term record. Therefore, it is important to study the zonal displacement of the warm pool and its response to the zonal wind anomaly over the equatorial Pacific Ocean. Based on the NCDC monthly averaged SST (sea surface temperature) data in 2°×2° grid in the Pacific Ocean from 1950 to 2000, and the NCEP/NCAR global monthly averaged 850 hPa zonal wind data from 1949 to 2000, the relationships between zonal displacements of the western Pacific warm pool and zonal wind anomalies over the tropical Pacific Ocean are analyzed in this paper. The results show that the zonal displacements are closely related to the zonal wind anomalies over the western, central and eastern equatorial Pacific Ocean. Composite analysis indicates that during ENSO events, the warm pool displacement was trigged by the zonal wind anomalies over the western equatorial Pacific Ocean in early stage and the process proceeded under the zonal wind anomalies over the central and eastern equatorial Pacific Ocean unless the wind direction changes. Therefore, in addition to the zonal wind anomaly over the western Pacific, the zonal wind anomalies over the central and eastern Pacific Ocean should be considered also in investigation the dynamical mechanisms of the zonal displacement of the warm pool.     

Evaluation of radar and automatic weather station data assimilation for a heavy rainfall event in southern China

To improve the accuracy of short-term(0–12 h) forecasts of severe weather in southern China, a real-time storm-scale forecasting system, the Hourly Assimilation and Prediction System(HAPS), has been implemented in Shenzhen, China. The forecasting system is characterized by combining the Advanced Research Weather Research and Forecasting(WRF-ARW)model and the Advanced Regional Prediction System(ARPS) three-dimensional variational data assimilation(3DVAR) package. It is capable of assimilating radar reflectivity and radial velocity data from multiple Doppler radars as well as surface automatic weather station(AWS) data. Experiments are designed to evaluate the impacts of data assimilation on quantitative precipitation forecasting(QPF) by studying a heavy rainfall event in southern China. The forecasts from these experiments are verified against radar, surface, and precipitation observations. Comparison of echo structure and accumulated precipitation suggests that radar data assimilation is useful in improving the short-term forecast by capturing the location and orientation of the band of accumulated rainfall. The assimilation of radar data improves the short-term precipitation forecast skill by up to9 hours by producing more convection. The slight but generally positive impact that surface AWS data has on the forecast of near-surface variables can last up to 6–9 hours. The assimilation of AWS observations alone has some benefit for improving the Fractions Skill Score(FSS) and bias scores; when radar data are assimilated, the additional AWS data may increase the degree of rainfall overprediction.