地震资料叠前去噪技术的现状与未来

地震资料叠前去噪是勘探地震资料处理的关键问题之一，但这个问题长期以来一直没有得到很好的解决，是提高地震资料分辨率的一个主要障碍，其中，如何有效地消除产生与地层间的多次反射波又是地震资料叠前去噪的核心问题。为此，人们进行了长期不懈的努力，以更好地消除多次波。本文着重概述现今实生常中常用的几种比较有效的消除多次波方法，包括拉冬变换，F－K方法和聚束滤波方法；同时也概述了预测反积消除水层混响和用K－L变换方法消除随机噪音提高信噪比等方法；最后，还讨论了近年发展的地震资料叠前去噪新方法及其发展趋势。     

自适应滤波方法扣除规则性噪声

本文采用自适应滤波技术,对山东省莒县地震台网记录到的极微震资料中的规则性干扰进行了去噪声处理。结果表明,这种方法不必对噪声进行模式识别,具有简单、快速等优点,在信号与噪声不相关的情况下,可以得到很好的结果。     

朝阳台地倾斜资料的调和分析和研究

应用调和分析的方法对朝阳台地倾斜的观测值和理论值进行了实际和模拟计算，分别给出了地表慢形变、长周年变以及固体潮幅值变化对调和分析结果的影响，并就计算结果讨论和提出了该方法用于地震预报中所存在的问题和建议。     

基于小波技术的地面大气电场数据处理

使用安装在南京信息工程大学实验场的法国电场仪AMEO340于2009年观测试验期间的观测资料,将大气电场仪采样序列数据经快速傅里叶变换,得到序列的功率谱。对晴天和伴有闪电天气的地面大气电场数据进行了小波函数为sym5的7层分解,大大降低了地面大气电场数据波形的重叠度。通过对伴有闪电天气的地面大气电场数据进行小波7层分解,地面大气电场信号的低频部分不仅突出显示了地面大气电场值的主要变化趋势,而且能清晰的分辨出闪电过程中较强的正负地闪次数。为利用地面大气电场强度值的变化特征进行闪电预警提供了更有效的信息。     

Temporal and Spatial Images of Ambient Noise Intensity in the Chinese Mainland

Successive waveforms of the vertical component recorded by 888 broadband seismic stations in the China Seismography Network from January,2010 to June,2011 are used to investigate the temporal and spatial distribution of ambient noise intensity,and the images of ambient noise intensity at the period of 10 s in the Chinese Mainland are obtained. The temporal variation of ambient noise intensity shows some seasonal and periodic characteristics. The maximum ambient noise intensity occurred from January,2011 to March,2011. The spatial distribution images of ambient noise intensity show obvious zoning features,which doesnt correlate with surface geology,suggesting that the noise field is stronger than the site factors. The strength in southeastern coastal areas reaches its maximum and generally decreases toward to inland areas,and arrives at the minimum in the Qinghai-Tibetan Plateau. The zonal intensity distribution is probably correlated with ocean tides from the Philippine Ocean and the Pacific Ocean. It also shows that the influence from the Indian Ocean seems small. However, the ambient noise intensity increases to a certain degree in the Xinjiang area,indicating that the main source of ambient noise in the western area of the Chinese Mainland is not derived from the East and South China Sea,but rather from the deep interior of the Eurasian continent. The ambient noise intensity obtained in this study can supply reference for seismology research based on ambient noise correlation. Moreover,it can supply basic data for attenuation research based on ambient noise, and thus help achieve the object of retrieving the attenuation of Rayleigh waves from ambient noise.     

用扩散电场法估算CHTEM-I系统的探测深度

时间域航空电磁系统的探测深度是一项关键技术参数,在系统研制设计和资料解释中都有重要作用.当目标层与围岩电性差异不大或目标层引起的异常响应不明显时,常规的估算探测深度方法不再适用,为克服这种缺陷,本文提出了一种系统探测深度的估算方法,该方法通过模拟电场在均匀半空间模型和层状模型中的扩散过程,记录电场最大幅值在地下的瞬时位置,将系统的探测深度定义为观测到的响应值等于给定的噪声水平时,对应时刻的地下介质中感应电场幅度的最大值对应的深度.论文以我国自主研制的直升机时间域航空电磁系统CHTEM-I为例,根据对不同条件下的计算结果的分析,给出了探测深度与模型电导率、飞行高度和噪声水平之间的关系曲线,并总结出一些能够提高系统探测深度的建议.结果表明半空间模型电导率在0.000295~0.0422 S/m范围内,CHTEM-I系统可以在噪声水平与t－0.5成正比条件下达到300 m的探测深度.本文方法的估算结果不受模型层厚薄,或目标层与围岩电性差异小等因素影响,因而具有较高的实用性.文中的结论对时间域航空电磁系统设计有理论指导意义,也可用于其它时间域电磁勘探系统探测深度的估算.     

The conservation of seals in Irish waters: How research informs policy

Ireland's waters represent a valuable resource encompassing productive fishing grounds and important oil and gas reserves. As a species rich marine environment, Ireland's waters are also an important habitat for many species of marine mammal. Specifically, grey seals (Halichoerus grypus) and harbour seals (Phoca vitulina) are widespread in Irish coastal waters and at least 24 species of cetacean have been reported at sea. The coastal zone represents critical habitat for many of these species, in particular seals that use both terrestrial and aquatic coastal habitat and are vulnerable to habitat degradation. Increasing exploitation of marine resources has increased their exposure to a range of anthropogenic effects including pollution and habitat loss. As top predators seals interact with commercial fisheries both directly and indirectly for resources and conflicts arise. The relatively recent move towards ‘greener’ resource exploitation such as marine renewable energy does not come without negative consequences for marine mammals including seals, which are afforded protection under national and international conservation legislation, highlighting the difficulties faced by resource managers. The sustainable exploitation of resources whilst conserving biodiversity is a challenging task and effective management implementation depends on appropriate policy informed by reliable scientific data. This paper outlines the conservation needs of seals in Irish waters, reviews our current knowledge of these species in Irish water, provides a critical analysis of the existing legislative framework and describes how research outputs can inform present and future policy decisions.     

Behavioral responses of a harbor porpoise (Phocoena phocoena) to playbacks of broadband pile driving sounds

The high under-water sound pressure levels (SPLs) produced during pile driving to build offshore wind turbines may affect harbor porpoises. To estimate the discomfort threshold of pile driving sounds, a porpoise in a quiet pool was exposed to playbacks (46 strikes/min) at five SPLs (6 dB steps: 130–154 dB re 1 μPa). The spectrum of the impulsive sound resembled the spectrum of pile driving sound at tens of kilometers from the pile driving location in shallow water such as that found in the North Sea. The animal's behavior during test and baseline periods was compared. At and above a received broadband SPL of 136 dB re 1 μPa [zero-peak sound pressure level: 151 dB re 1 μPa; t₉₀: 126 ms; sound exposure level of a single strike (SEL_ss): 127 dB re 1 μPa² s] the porpoise's respiration rate increased in response to the pile driving sounds. At higher levels, he also jumped out of the water more often. Wild porpoises are expected to move tens of kilometers away from offshore pile driving locations; response distances will vary with context, the sounds' source level, parameters influencing sound propagation, and background noise levels.     

ALOS卫星图像分析与预处理实证研究

通过实证研究的方法对高分辨率ALOS卫星数据进行质量分析,结合ALOS数据特点,提出了ALOS原始影像数据的预处理方法和处理流程。研究结果表明： ALOS数据预处理工作量较大,且预处理方法要求较为严格,因此,在开展大规模、大范围、大区域、大精度、短周期的图件更新、动态监测等应用时,应考虑将ALOS卫星图像与其它卫星图像结合使用。     

Model‐based attenuation for scattered dispersive waves

Coherent noise in land seismic data primarily consists in source‐generated surface‐wave modes. The component that is traditionally considered most relevant is the so‐called ground roll, consisting in surface‐wave modes propagating directly from sources to receivers. In many geological situations, near?surface heterogeneities and discontinuities, as well as topography irregularities, diffract the surface waves and generate secondary events, which can heavily contaminate records. The diffracted and converted surface waves are often called scattered noise and can be a severe problem particularly in areas with shallow or outcropping hard lithological formations. Conventional noise attenuation techniques are not effective with scattering: they can usually address the tails but not the apices of the scattered events. Large source and receiver arrays can attenuate scattering but only in exchange for a compromise to signal fidelity and resolution. We present a model?based technique for the scattering attenuation, based on the estimation of surface‐wave properties and on the prediction of surface waves with a complex path involving diffractions. The properties are estimated first, to produce surface?consistent volumes of the propagation properties. Then, for all gathers to filter, we integrate the contributions of all possible diffractors, building a scattering model. The estimated scattered wavefield is then subtracted from the data. The method can work in different domains and copes with aliased surface waves. The benefits of the method are demonstrated with synthetic and real data.