Triple diagram method for the prediction of wave height and period

Many formulations have been developed so far to predict the wave height and period from fetch length and wind blowing duration for a constant wind speed. This study aimed to predict wave parameters from fetch length and meteorological factors by using triple diagram methodology based on Kriging principles. Proposed model results were compared with Joint North Sea Wave Project (JONSWAP) model which is used so commonly in the ocean and coastal engineering studies. For the implementation of the methodology hourly wave and wind data were obtained from a buoy located in Lake Ontario. Numerical and graphical comparisons demonstrated that the proposed method outperforms the classical formulation.     

华北地区强震前的信号震及其预测意义

根据对华北地区1970年以来M_S≥6地震以前中小地震活动空间图像变化特征的分析, 研究了“信号震”发生的时空特征及其地震活动背景, 由“场-源”关系特征对一般地震进行严格的筛选识别, 从而得出信号震的有关预测指标。 信号震一般发生在强震前的2年之内, 多数发生在15个月内; 信号震与强震的距离不超过200 km, 多数在100 km之内; 震级强度一般为M_L4.0～5.3。 信号震一般发生在局部的M_L≥4.0地震平静区内, 一般发生在中小地震条带上或条带附近, 在其周围或附近存在中小地震空区。 检验结果表明, 信号震发生后的9个月之内, 其预测概率P_t即超过0.5, R_t值达到0.27; 预测区域半径在距信号震震中100 km之内时, 其发生概率P_d可以达到0.73; 预测强震震级一般为M_S≥6.0。 研究表明, 信号震的环境应力值τ₀明显高于其他地震, 显示了高应力背景的异常显著性, 它所辐射的地震波中很可能含有未来强震孕震区的大量的本质性信息。     

基于AHP的新疆南天山西段中强地震预测指标体系及效能评估

本文从新疆南天山西段地区映震效果较好的预测指标出发, 采用AHP(Analytic Hierarchy Process, 层次分析法)建立了新疆南天山西段地区预测指标体系。 在此基础上, 应用1～9比率标度法构建相应的判断矩阵, 进而计算各指标的权重。 结果显示, 几项映震效果较好的指标中, 权重值相对较大的是短期预测指标中的形变异常和部分测震学参数。 同时AHP模型也给出了新疆南天山西段有无中强地震的综合判断指标Y, Y值可较好地反映新疆南天山西段地区中强地震的震兆强弱程度和异常可靠性, 当Y≥2.191时, 新疆南天山西段地区短期内存在发生中强地震的危险。     

宇宙线小波分析在大地磁暴预报中的应用

利用Morlet小波变换方法对北京宇宙线台站的地面宇宙线强度在地磁暴前后的变化特征进行分析,得到: 1) 在平静期,北京宇宙线数据存在准24 h周期性的特征,且通过分析周期为12 h的Morlet小波"模",发现值稳定,且小于0.6; 2) 以90天为时间窗口,对2004年7月地磁暴前后的小波频谱变化进行详细分析,发现当发生大地磁暴时,宇宙线的静日准24 h周期被打破,其他周期的波动开始增强.进一步研究发现,周期12h的波动在大地磁暴数小时到1天左右会出现显著增强,这一现象在2001、2002和2004年期间的大地磁暴前得到验证.3) Morlet小波"模"数据的急速增大是发生地磁暴的先兆特征,当小波模变化达到一定的阈值就可能发生大磁暴.本文分析了周期为12 h时小波的模数据,对强地磁暴事件进行统计,选定阈值0.6,并通过2003年的6次大地磁暴进行预报验证,结果表明该方法不仅能够对大地磁暴事件进行预报,而且提前量满足预报需求,为基于宇宙线实测数据预报地磁暴方法提供了重要基础.     

秦山核电站厂址地震动加速度时程预测研究

本文研究了建立设计地震震源模型和用理论地震学方法预测基岩场地震震加速度的技术途径，预测了四相设计地震事件在秦山核电站厂址的加速度时程和反应谱，文中根据对地质和历史地震资料的研究，确定不同性质的设计地震事件，建立设计地震震源和工作区介质的确定性模型，针对未来地震的不可完全预见性，以及对地球介质和震源性质现有认识的局限性，文中发展了确定性和随机性组合的综合分析方法，在用确定的介质模型和设计震源计算地震     

Geological characteristics and analysis of known and undiscovered graphite resources of China

Graphite is one of the most essential non-metallic minerals with a wide variety of uses, and is an important commodity used in the emerging industry of China. Graphite is sourced from 170 mine areas in China from 25 provinces. This contribution is on a study of 15 regions in China with known graphite resources based on the spatial and temporal analyses of the regional metamorphic, contact metamorphic, and hydrothermal types of graphite. The knowledge gained on the metallogenesis of graphite in China is used to develop a model for choosing prospective regions for graphite, and to target areas for detailed exploration. It outlined 28 prediction areas with predicted graphite resources of about 1.63 billion tonnes to a maximum depth of 500 m in the Heilongjiang, Jilin, Liaoning, Shandong, Inner Mongolia and Hunan provinces. And of these, the predicted flake graphite resources in the Heilongjiang Province has been totalling almost a billion tonnes representing almost 60% of China’s graphite resource. As a result of this study, it is concluded that graphite has been formed during restricted periods of time, with the regional metamorphic type being the main style present in China.     

A prediction model for important mineral resources in China

Prediction models for mineral resources provide an analytical foundation and method to express the results of resource evaluations. The project “China National Mineral Resources Assessment Initiative” was conducted during 2006–2013, with the aim to determine the location, quantity, and quality of 25 important mineral resources occurring at depths of <1 km. There are currently 80 integrated prediction models on the scale of III–level metallogenic belts in use across China. The Huangshaping Pb–Zn polymetallic deposit, Hunan province, China, is used as a case study to establish methods and processes for developing a mineral resource prediction model that would be used for exploration targeting. The construction of prediction models requires the development of a classification scheme for the proposed prediction method appropriate for the prediction area. An initial metallogenic model is quantitatively transformed to a prospecting model, and then a prediction model. The incorporation of additional methodology, analysis of a comprehensive geological database, and correlation of asymmetric information between the well–explored typical deposit area and regional prediction area, yield an integrated prediction model. This paper also discusses the prediction modeling theory, and presents 12 models used for mineral assessments.     

利用多元地震属性预测测井特性

通过寻找井旁地震数据与测井曲线的关系,将这一关系应用到远离井的区域(只有地质数据,但无测井)来预测测井的有关特性,其方法有单属性分析和多属性分析[1]。本文通过实例描述了多属性分析的特点及预测结果。从单属性回归到多属性预测、再到神经网络预测过渡时,预测能力持续提高。同时对地震属性的选择和有效性进行了讨论,将结果应用到整个二维地震剖面上,能更好地确定井以外区域的测井特性。     

TSP在隧道超前地质预报的应用研究

由于隧道施工经常遇到严重的地质灾害,施工前进行超前地质预报是十分必要的。本文介绍了TSP超前地质预报系统的技术特点和基本原理,结合工程实例探讨了在使用TSP过程中的一些技术问题。结果显示利用工程地质调查结论可以确定合理的探测方案和提高TSP的预报精度。     

滇西地震的短临综合预报决策研究

本文在短临预报指标研究的基础上，综合考虑各指标在综合预报中的作用，并用层次分析法计算出了参与滇西地震综合预测的各指标的综合权重值，最后进行系统合成，从而对滇西地区的地震的发震时间、地点进行定量化的预测，而对强度预测，而在发震时间预测的前提下，综合考虑指标异常出现的项次及持继时间长短（孕报期的长短），来综合判定预测强度。所得结果，通过１９７５年以来滇西地区２３次Ｍｓ≥５．０级地震检验，时间预测对应率