基于无人机影像的辽宁农居建筑物提取技术与应用研究

本研究以实地调研数据为基准,无人机影像数据分析为验证,进行了基于无人机识别能力范畴的辽宁农居建筑结构类型划分,并根据区域结构类型比例、影像特性等指标优化了农居遥感解译标志整体参数,提取了不同建筑结构的不同解译标志阈值区间,并基于无人机低空正射影像DOM、数字表面模型DSM制定改进型DSM提取算法处理流程与代码,利用Python语言及开发环境完成了遥感影像要素提取与评估系统开发应用。通过最优组合解译标志获取无人机影像解译一致性系数Kappa=0.723,表明制定的解译标志特征对获得具有较好一致性的房屋结构类型具备一定的可行性。以改进型DSM提取算法为核心的建筑物提取软件提取建筑的整体精度为75%,基本满足地震应急需求。     

用于地震调查的航空红外遥感实时传输系统研究

该系统提供了航空红外遥感资料的袢时采集和传输，为及时开展地震野外调查工作提供了一个有力的手段。该系统由红外传感器系统、机载站图像和数据实时处理系统、机载站通信系统、转发站通信系统、地面站接收系统、地面站图像和数据实时处理系统组成。     

东北地区近震震级研究

实际观测表明,用现行短周期仪器起算函数Ｒ１测算的近震震级ＭＬ在近距离地段数值偏低,在远距离地段偏高,随震中距出现系统偏差。本文以里克特（１９３５）零震级地震定义为震级水平控制原则,应用了辽,吉,黑,冀四省地震台网的观测资料,制定出东北地区近震震级起算函数系统。     

1995年度中国大陆及边邻MS≥7.0地震活动与华北地区的试验预报纪实之三

如实记述了１９９５年度中国大陆及边邻ＭＳ≥７．０地震活动的时、空演变与华北（φＮ３０°～φＮ４２°，λＥ１０５°～λＥ１２５°）地震活动等有关的试验预报的实况。对过去的预报办法提出了一些改进意见。     

Shifting Correlation Between Earthquakes and Electromagnetic Signals: A Case Study of the 2013 Minxian–Zhangxian ML 6.5 (MW 6.1) Earthquake in Gansu,China

The shifting correlation method (SCM) is proposed for statistical analysis of the correlation between earthquake sequences and electromagnetic signal sequences. In this method, the two different sequences were treated in units of 1 day. With the earthquake sequences fixed, the electromagnetic sequences were continuously shifted on the time axis, and the linear correlation coefficients between the two were calculated. In this way, the frequency and temporal distribution characteristics of potential seismic electromagnetic signals in the pre, co, and post-seismic stages were analyzed. In the work discussed in this paper, we first verified the effectiveness of the SCM and found it could accurately identify indistinct related signals by use of sufficient samples of synthetic data. Then, as a case study, the method was used for analysis of electromagnetic monitoring data from the Minxian–Zhangxian M_L 6.5 (M_W 6.1) earthquake. The results showed: (1) there seems to be a strong correlation between earthquakes and electromagnetic signals at different frequency in the pre, co, and post-seismic stages, with correlation coefficients in the range 0.4–0.7. The correlation was positive and negative before and after the earthquakes, respectively. (2) The electromagnetic signals related to the earthquakes might appear 23 days before and last for 10 days after the shocks. (3) To some extent, the occurrence time and frequency band of seismic electromagnetic signals are different at different stations. We inferred that the differences were related to resistivity, active tectonics, and seismogenic structure.     

A three-dimensional surface wave–ocean circulation coupled model and its initial testing

A theoretical framework to include the influences of nonbreaking surface waves in ocean general circulation models is established based on Reynolds stresses and fluxes terms derived from surface wave-induced fluctuation. An expression for the wave-induced viscosity and diffusivity as a function of the wave number spectrum is derived for infinite and finite water depths; this derivation allows the coupling of ocean circulation models with a wave number spectrum numerical model. In the case of monochromatic surface wave, the wave-induced viscosity and diffusivity are functions of the Stokes drift. The influence of the wave-induced mixing scheme on global ocean circulation models was tested with the Princeton Ocean Model, indicating significant improvement in upper ocean thermal structure and mixed layer depth compared with mixing obtained by the Mellor–Yamada scheme without the wave influence. For example, the model–observation correlation coefficient of the upper 100-m temperature along 35° N increases from 0.68 without wave influence to 0.93 with wave influence. The wave-induced Reynolds stress can reach up to about 5% of the wind stress in high latitudes, and drive 2–3 Sv transport in the global ocean in the form of mesoscale eddies with diameter of 500–1,000 km. The surface wave-induced mixing is more pronounced in middle and high latitudes during the summer in the Northern Hemisphere and in middle latitudes in the Southern Hemisphere.     

日本Mw9.0地震前的舒曼谐振异常分析

2011年3月11日日本本州岛东海岸附近海域发生了Mw9.0地震.基于中国云南的舒曼谐振(SR)观测站的磁场观测数据,分析了与该次地震有关的SR疑似异常现象.分析表明,震前3 4天低阶谐振开始出现比较明显的幅度增强现象,以2011年3月8日(北京时间)这一天的现象最明显,南北向在7:00-10:00和12:00-15:00异常比较明显,而东西向只在12:00-15:00异常相对比较强.根据对2011年3月1-11日及对应每天前后各15天共41天的数据的联合分析,3月8日部分时间段的低阶谐振磁场差明显高于一倍甚至两倍标准差;相比而言,正常的一天内各阶磁场差要明显低于一倍标准差.最后,根据一些日本地震学者提出的SR异常机理,进一步分析了在云南观测站能观测到日本地震异常的可能性.结果表明,在永胜观测站可以观测到日本地震引起的一阶到三阶SR异常,与发现的异常主要集中在低阶的现象比较吻合.     

地震预报问题综述

长期以来,地震预报这个世界性科学难题一直困扰着广大地震工作者。围绕着要不要进行地震预报研究,地震能否预报这个问题,世界各国的科学工作者、政府官员、社会公众等争执不断,乐观论与悲观论并存。该文综合介绍了近期中国、美国、俄罗斯、日本等国部分学者对这个问题的不同看法及当前地震预报研究的某些动态进展。     

强震变形的地震大地测量监测与研究

地震大地测量是将大地测量（特别是空间大地测量）与地震学及构造地质学进行融合的新兴交叉学科,其可用于监测地震孕育的地球物理背景场及动态变化过程,对相关形变实现了10²a～10^-2s的宽频带监测,基本弥补了地震学与构造地质学间的频率空白。以多频带的地震大地测量技术（GNSS、InSAR、高频GNSS）为支撑的陆态网络工程,不仅获得了中国大陆长期的地壳运动图像,而且在强震形变监测中发挥了重要作用。汶川、芦山、尼泊尔廓尔喀及九寨沟等地震的研究成果表明,高频/静态GNSS、InSAR、精密水准相融合的多频大地测量,极大地拓展了地震形变监测的时空频域,促进了大陆型地震的相关研究,为地震预测预警研究奠定了基础。然而,目前使用的地震大地测量资料有限,同时,我国地震大地测量监测网络也有待不断加密和优化。