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There is an ongoing debate about the tectonic evolution of southeast Australia, particularly about the causes and nature of its accretion to a much older Precambrian core to the west. Seismic imaging of the crust can provide useful clues to address this issue. Seismic tomography imaging is a powerful tool often employed to map elastic properties of the Earth's lithosphere, but in most cases does not constrain well the depth of discontinuities such as the Mohorovi?i? (Moho). In this study, an alternative imaging technique known as receiver function (RF) has been employed for seismic stations near Canberra in the Lachlan Orogen to investigate: (i) the shear-wave-velocity profile in the crust and uppermost mantle, (ii) variations in the Moho depth beneath the Lachlan Orogen, and (iii) the nature of the transition between the crust and mantle. A number of styles of RF analyses were conducted: H-K stacking to obtain the best compressional–shear velocity (V P /V S) ratio and crustal thickness; nonlinear inversion for the shear-wave-velocity structure and inversion of the observed variations in RFs with back-azimuth to investigate potential dipping of the crustal layers and anisotropy. The thick crust (up to 48 km) and the mostly intermediate nature of the crust?mantle transition in the Lachlan Orogen could be due to the presence of underplating at the base of the crust, and possibly to the existing thick piles of Ordovician mafic rocks present in the mid and lower crust. Results from numerical modelling of RFs at three seismic stations (CAN, CNB and YNG) suggest that the observed variations with back-azimuth could be related to a complex structure beneath these stations with the likelihood of both a dipping Moho and crustal anisotropy. Our analysis reveals crustal thickening to the west beneath CAN station which could be due to slab convergence. The crustal thickening may also be related to the broad Macquarie volcanic arc, which is rooted to the Moho. The crustal anisotropy may arise from a strong N–S structural trend in the eastern Lachlan Orogen and to the preferred crystallographic orientation of seismically anisotropic minerals in the lower and middle crust related to the paleo-Pacific plate convergence. 相似文献
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本文介绍J-A2500射频发生器的简单工作原理、调试方法和典型故障排除以及使用维修注意事项。 相似文献
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为快速、准确地掌握水体分布信息,本文以上海市为研究区,基于多时相Sentinel-2卫星数据构建水体提取特征集,并采用效率高、稳健性好的随机森林模型,对研究区内的水体进行提取。水体提取特征集在现有光谱波段特征的基础上加入6种水体指数,分别为NDWI、MNDWI、AWEIsh、WI2015、SWI和RWI,旨在提高水体提取精度。针对10个光谱波段特征及6种水体指数,设计了8种试验方案探究加入水体指数对于水体提取的作用。结果表明,将6种水体指数全部加入的方案精度最高,为97.910%;NDWI和RWI能提高水体提取精度、降低漏提率和误提率。 相似文献
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基于数值预报和随机森林算法的强对流天气分类预报技术 总被引：4，自引：2，他引：2
随机森林算法是当前得到较为广泛应用的机器学习方法之一,有着很高的预测精度,训练结果稳定,泛化能力强,解决多分类问题有明显优势。本文将随机森林算法应用于强对流的潜势预测和分类,分短时强降水、雷暴大风、冰雹和无强对流四种类别,基于2005—2016年NCEP 1°×1°再分析资料计算的对流指数和物理量,开展强对流天气的分类训练、0～12 h预报和检验,经2015—2016年独立测试样本检验表明,针对强对流发生站点的点对点检验,整体误判率为21. 9%,85次强对流过程基本无漏报,模型尤其适用于较大范围强对流天气。随机森林算法筛选的因子物理意义较为明确,和主观预报经验基本相符,模型准确率高,可用于日常业务。 相似文献
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激励放大器是发射机射频放大链电路前级功率放大器,对雷达探测资料可靠性具有重要作用。研究芯片级故障诊断流程,一方面可以解决台站技术保障人员无法故障定位到芯片级的技术难题;另一方面,芯片级故障维修可达到大大降低维修成本的目的。雷达故障一般分为参数调整不当导致性能下降故障和器件损坏造成参数异常故障。为此,通过总结出CINRAD/SA(B)发射机激励放大器信号流程、故障树图集,在依据同步信号时序关系及关键点波形参数基础上,研究出规范化的激励放大器调试技术和方法,以及激励放大器芯片级故障诊断定位流程,并列举了依据激励放大器芯片级故障诊断定位流程,修复激励放大器集成块N8损坏,导致+8 V电源不正常,造成激励放大器无功率输出,以及激励放大器的第二级功放模块故障导致激励放大器输出功率低的两个故障的典型个例,以检验维修效果。实际应用结果表明:芯片级激励放大器故障诊断定位流程可以快速定位发射机激励放大器故障点到故障器件,方法简洁、思路清晰、操作规范,基层雷达站技术人员容易掌握;激励放大器调试技术和方法,能解决激励放大器参数调整不当导致激励放大器性能下降故障,可有效提高新一代天气雷达技术保障水平。 相似文献
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Mark E. Perry Daniel S. Kahan Olivier S. Barnouin Carolyn M. Ernst Sean C. Solomon Maria T. Zuber David E. Smith Roger J. Phillips Dipak K. Srinivasan Jürgen Oberst Sami W. Asmar 《Planetary and Space Science》2011,59(15):1925-1931
The MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) spacecraft completed three flybys of Mercury in 2008–2009. During the first and third of those flybys, MESSENGER passed behind the planet from the perspective of Earth, occulting the radio-frequency (RF) transmissions. The occultation start and end times, recovered with 0.1 s accuracy or better by fitting edge-diffraction patterns to the RF power history, are used to estimate Mercury's radius at the tangent point of the RF path. To relate the measured radius to the planet shape, we evaluate local topography using images to identify the high-elevation feature that defines the RF path or using altimeter data to quantify surface roughness. Radius measurements are accurate to 150 m, and uncertainty in the average radius of the surrounding terrain, after adjustments are made from the local high at the tangent point of the RF path, is 350 m. The results are consistent with Mercury's equatorial shape as inferred from observations by the Mercury Laser Altimeter and ground-based radar. The three independent estimates of radius from occultation events collectively yield a mean radius for Mercury of 2439.2±0.5 km. 相似文献
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Zhaoliang ZENG Zemin WANG Minghu DING Xiangdong ZHENG Xiaoyu SUN Wei ZHU Kongju ZHU Jiachun AN Lin ZANG Jianping GUO Baojun ZHANG 《大气科学进展》2021,38(9):1497-1509
Long-term,ground-based daily global solar radiation (DGSR) at Zhongshan Station in Antarctica can quantitatively reveal the basic characteristics of Earth’s surface radiation balance and validate satellite data for the Antarctic region.The fixed station was established in 1989,and conventional radiation observations started much later in 2008.In this study,a random forest (RF) model for estimating DGSR is developed using ground meteorological observation data,and a highprecision,long-term DGSR dataset is constructed.Then,the trend of DGSR from 1990 to 2019 at Zhongshan Station,Antarctica is analyzed.The RF model,which performs better than other models,shows a desirable performance of DGSR hindcast estimation with an R~2 of 0.984,root-mean-square error of 1.377 MJ m~(-2),and mean absolute error of 0.828 MJ m~(-2).The trend of DGSR annual anomalies increases during 1990–2004 and then begins to decrease after 2004.Note that the maximum value of annual anomalies occurs during approximately 2004/05 and is mainly related to the days with precipitation (especially those related to good weather during the polar day period) at this station.In addition to clouds and water vapor,bad weather conditions (such as snowfall,which can result in low visibility and then decreased sunshine duration and solar radiation) are the other major factors affecting solar radiation at this station.The high-precision,longterm estimated DGSR dataset enables further study and understanding of the role of Antarctica in global climate change and the interactions between snow,ice,and atmosphere. 相似文献