北京地震台宽频带面波震级公式建立

利用IASPEI推荐的宽频震级计算公式MBB,重新量取并计算北京地震台1993—2003年(数字宽频地震记录系统与模拟地震仪器记录并行时期)的MBB、MSK、MKIRNOS震级,并分别同中国地震台网中心发布震级MCENC进行震级偏差比较。对比结果显示:采用宽频带垂直向速度型面波震级的MBB,震级偏差在震中距0°—180°范围内均呈现良好的稳定性,且与中国地震台网中心发布的震级偏差最小。遂利用最小二乘法,采用IASPEI公布的宽频带面波震级计算框架,拟合出北京地震台宽频震级公式。     

软开关机在高可靠性分布式电法仪器中的设计

嵌入式系统因具有功耗低,功能强大,灵活性好等优点而被广泛用于电法仪器中.由于处理器架构的不同和使用硬件环境的复杂性,嵌入式系统对电源管理并没有一个统一的规范.随着分布式观测系统等"大数据"方法的发展,各个采集站工作时往往需要不停地保存大量的数据.为防止各类突发事件而导致采集站的数据文件被损坏,一个安全的开关机机制就显得尤为重要.为解决这一问题,本文设计了一种基于CPLD的软开关机系统.该系统在工作时,需要电流为30 mA,功耗为0.36 W.实际应用表明,该系统不仅功耗低,消耗资源少,而且安全性好,能有效地应对各类突发事件对数据产生的影响,增强了系统的稳定性.同时该系统具有很强的通用性.     

CT轴扫描和螺旋扫描模式对颅脑急诊患者影像质量与辐射剂量的影响

目的:探讨CT轴扫描和螺旋扫描模式对颅脑影像质量和辐射剂量的影响,为颅脑急诊CT患者合理选择扫描模式提供依据。方法:20例患者,急诊CT扫描采用螺旋扫描模式,首次复查时采用轴扫描模式。管电压120kV,管电流290mA,球管转速0.8s,层厚5mm,间隔5mm,螺距0.969∶1,标准重建算法。测量脑灰质和脑白质CT值和背景噪声,计算SNR和CNR,并对图像噪声、颅底伪影、脑灰、白质对比显示情况进行主观评分,扫描后从CT剂量报告中调取辐射剂量值。两种扫描模式影像质量组间比较采用配对t检验和独立样本卡方检验。结果:轴扫描模式时脑灰、白质CT值分别为(38.02±2.23)HU和(27.01±1.72)HU,螺旋扫描时脑灰、白质CT值分别为(37.76±2.22)HU和(26.99±1.69)HU。CT轴扫描和螺旋扫描模式时,脑白质CT值、SNR和CNR差异没有统计学意义(P>0.05,t=0.045,0.119,0.502),图像噪声、颅底伪影、脑灰、白质对比显示主观评分结果没有统计学意义(P>0.05,χ2=3.142,0.0,3.159)。有效剂量在螺旋扫描模式时为66mSv,在轴扫描模式时为43mSv,但螺旋扫描模式扫描时间短,后处理重组图像对影像诊断有意义。结论:从影像质量和辐射剂量两方面考虑,对颅脑急诊患者CT检查时首选轴扫描模式,但对躁动不合作患者或体位不合作患者应选择螺旋扫描模式。      

内蒙古地区场地响应区域特征分析

本文以内蒙古地区台站分布、地质构造和地震活动性为基础,将内蒙古的大部地区划分为三个研究区域分别进行了场地响应研究。对近几年积累的大量ML≥3.0级以上地震,共计39个台站记录到的124次地震事件的785条波形,根据S波的观测振幅谱,采用遗传算法分别反演了三个区域的介质非弹性衰减系数和台站场地响应,并对其进行了讨论。本文得到的介质衰减模型和台站场地响应,将对台网测定ML震级需要考虑的量规函数、台站校正值等提供重要参考。研究结果表明:除个别台站存在场地放大或缩小的响应外,绝大多数台站的场地响应表现出一定的区域性特征;西部区域(除极个别台站外)对高频存在明显衰减;中东部区域对整个频段的反映都比较稳定;东部区域对整个频段存在明显放大,这与该区域覆盖层厚度大相吻合。     

地磁加卸载响应比方法最佳阈值研究

地磁加卸载响应比方法(LURR)是从测震学中移植过来的、用于地震中期分析预测的一种地磁学方法。笔者应用红山地震台地磁数字化观测数据进行了地磁加卸载响应比的计算分析,经过统计得出在阈值选择为3.0时对地震进行预测的效果比较好,其与地震的对应概率为42%。同时,笔者还认为可能受限于方法本身及外界因素,地磁加卸载响应比方法在进行地震预测时,其虚报率及漏报率较高。     

Crustal velocity structure of the Shaowu-Nanping-Pingtan transect through Fujian from deep seismic sounding-tectonic implications

The Shaowu-Nanping-Pingtan deep seismic sounding profile is located in northern Fujian Province. High-quality seismic sounding data were acquired by five large explosive blasts received by 133 digital seismic instruments along the profile. Based on seismic facies analysis and travel-time picking on shot record sections, a model of the velocity structure of upper crust was developed by finite-difference tomography of the first breaks; the 2-D P-wave velocity structure and tectonic characteristics of the crust were interpreted further by fitting of waveforms and seismic travel times. The results show that the top of the crystalline basement is buried at depths of 2.0–4.0 km, with the deepest buried up to 4.0 km within the Fuzhou Basin. The Moho interface was found to be deeper in the west and shallower in the east(i.e., 30.0 km near the coast, increasing to 33.0 km northwestward). The lower crust on the east side of the Zhenghe-Haifeng Fault Zone has a smoothly varying gradient structure, whereas on the west side it has two distinct layers with a boundary between those layers at a depth of 23 km. Seismic velocities on the west side are generally lower than on the east side; a low velocity layer is observed with a lowest speed of 6.25 km/s at a depth of 22 km on the west side, which may consist of partially molten material. The Zhenghe-Haifeng Fault is a deep crustal fault, and should be a channel for deep material upwelling; it has a direct relationship with multiple stages of continental tectonic movements in Southern China and with multiple magmatic events that started in the Proterozoic and ended in the of late Tertiary in Fujian.     

Simultaneous estimation of surface soil moisture and soil properties with a dual ensemble Kalman smoother

In this paper, a new state-parameter estimation approach is presented based on the dual ensemble Kalman smoother(DEn KS) and simple biosphere model(Si B2) to sequentially estimate both the soil properties and soil moisture profile by assimilating surface soil moisture observations. The Arou observation station, located in the upper reaches of the Heihe River in northwestern China, was selected to test the proposed method. Three numeric experiments were designed and performed to analyze the influence of uncertainties in model parameters, atmospheric forcing, and the model's physical mechanics on soil moisture estimates. Several assimilation schemes based on the ensemble Kalman filter(En KF), ensemble Kalman smoother(En KS), and dual En KF(DEn KF) were also compared in this study. The results demonstrate that soil moisture and soil properties can be simultaneously estimated by state-parameter estimation methods, which can provide more accurate estimation of soil moisture than traditional filter methods such as En KF and En KS. The estimation accuracy of the model parameters decreased with increasing error sources. DEn KS outperformed DEn KF in estimating soil moisture in most cases, especially where few observations were available. This study demonstrates that the DEn KS approach is a useful and practical way to improve soil moisture estimation.