Magnetotelluric investigations for imaging electrical structure of Garhwal Himalayan corridor,Uttarakhand, India

Magnetotelluric investigations have been carried out in the Garhwal Himalayan corridor to delineate the electrical structure of the crust along a profile extending from Indo-Gangetic Plain to Higher Himalayan region in Uttarakhand, India. The profile passing through major Himalayan thrusts: Himalayan Frontal Thrust (HFF), Main Boundary Thrust (MBT) and Main Central Thrust (MCT), is nearly perpendicular to the regional geological strike. Data processing and impedance analysis indicate that out of 44 stations MT data recorded, only 27 stations data show in general, the validity of 2D assumption. The average geoelectric strike, N70°W, was estimated for the profile using tensor decomposition. 2D smooth geoelectrical model has been presented, which provides the electrical image of the shallow and deeper crustal structure. The major features of the model are (i) a low resistivity (<50Ωm), shallow feature interpreted as sediments of Siwalik and Indo-Gangetic Plain, (ii) highly resistive (> 1000Ωm) zone below the sediments at a depth of 6 km, interpreted as the top surface of the Indian plate, (iii) a low resistivity (< 10Ωm) below the depth of 6 km near MCT zone coincides with the intense micro-seismic activity in the region. The zone is interpreted as the partial melting or fluid phase at mid crustal depth. Sensitivity test indicates that the major features of the geoelectrical model are relevant and desired by the MT data.     

青藏块体及周缘潜在震源与强震关系研究

利用1993－1999、1999－2001年青藏块体东北以及1991－2000年中国大陆GPS水平运动年速率资料,基于单一力源模型,反演获得了青藏块体及其周缘地区2000－2001年10次地震的震前资料反映的潜在震源参数,所得力源中心位置距实际震中的距离相对较小,其中2000年景泰5．9、2001年宁蒗5．8、昆仑8．1及格尔木3次5．7、5．8级地震均在50km左右;2000年兴海6．6、2001年年施甸5．9、永胜6．0级地震不到100km;2001年雅江6．0级地震最远（121km）。此外,1999－2001年青藏块体东北缘地区的反演结果表明,沿东昆仑构造带的昆仑山口－达日及库玛断裂向东至甘东南、甘青交界区域,可能仍存在潜在震源。     

大地测量反演问题统一综述

大地测量反演在解决人类面临的资源短缺、自然灾害和生态环境退化问题显示出越来越重要的作用和地位。本文根据R.Parker的理论,首次尝试将近三十年来大地测量反演问题从解的存在性、模型构制、解的非唯一性、解的评价四个方面进行统一,促进了大地测量反演理论和应用的研究。     

Fast inversion of rupture process of the 14 April 2010 Yushu,Qinghai, earthquake

Four results of the rupture process of 14 April 2010 Yushu, Qinghai, earthquake, obtained by inverting the broadband seismic data of Global Seismographic Network (GSN) based on the inversion method of earthquake rupture process, were compared and discussed. It is found that the Yushu earthquake has several basic characteristics as follows: ① There exist two principal sub-events which correspond to two slip-concentrated patches being located near the hypocenter and to the southeast of the epicenter. The rupture of the slip-concentrated patch to the southeast of the epicenter broke though the ground surface; ② The peak slip and peak slip-rate are about 2.1 m and 1.1 m/s, respectively, indicating that the Yushu earthquake is an event with large slip-rate on the fault plane; ③ Overall the Yushu earthquake is a unilateral rupture event with the rupture mainly propagating southeastward. The strong focusing of the seismic energy in the southeast of the epicenter due to the &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;seismic Doppler effect&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; reasonably accounts for the tremendous damage in the Yushu city.     

Imaging Offsets in the Moho: Synthetic Tests using Gaussian Beams with Teleseismic Waves

We carry out a sequence of numerical tests to understand conditions under which rapid changes in crustal thickness can be reliably imaged by teleseismic body waves. Using the finite-difference method over a 2-D grid, we compute synthetic seismograms resulting from a planar P-wavefield incident below the grid. We then image the Moho using a migration scheme based on the Gaussian beam representation of the wavefield. The use of Gaussian beams for the downward propagation of the wavefield is particularly advantageous in certain geologically critical cases such as overthrusting of continental lithosphere, resulting in the juxtaposition of high-velocity mantle material over crustal rocks. In contrast to ray-based methods, Gaussian beam migration requires no special treatment to handle such heterogeneities. Our results suggest that with adequate station spacing and signal-to-noise ratios, offsets of the Moho, on the order of 10 km in height, can be reliably imaged beneath thickened crust at depths of about 50 km. Furthermore, even sharp corners and edges are faithfully imaged when precise values of seismic wave speeds are available. Our tests also demonstrate that flexibility in choices of different types of seismic phases is important, because any single phase has trade-offs in issues such as spatial resolution, array aperture, and amplitude of signals.     

我国原位地应力测量与地应力场分析研究进展

随着我国交通、能源和水利水电等行业快速发展,在复杂地形地貌和地质条件下兴建大量岩土工程,尤其是深埋长隧道,原位地应力测量及其相关研究逾加重要。我国自20世纪60年代首次成功进行原位地应力实测以来,在地应力测量及相关研究方面已取得了长足进展。文中扼要介绍了我国地应力测量的发展历程,着重总结了在钻孔应力解除法、水压致裂法和其他常用原位地应力测量法及工程区初始地应力场分析研究方面所取得的进展,并结合我国区域构造应力环境和岩土工程的特点,对地应力测量和工程区初始地应力场研究方面的展望阐述了一点认识。     

东北典型林区雪深反演算法的验证与分析

积雪对自然环境和人类活动都有极其重要的影响。积雪参数（雪面积、雪深和雪水当量）反演对水文模型和气候变化研究有着实际的意义。然而,目前森林区的雪深遥感反演精度一直有待于进一步提高。东北地区是我国最大的天然林区和重要的季节性积雪区之一,本文利用FY3B卫星微波成像仪（MWRI）L1级亮温数据和L2级雪水当量数据,以及东北典型林区野外实测雪深数据,对Chang算法、NASA 96算法和FY3B雪深业务化反演算法进行了验证与分析。结果表明：在东北典型林区的雪深反演中,Chang算法和NASA 96算法反演的雪深波动都比较大,当森林覆盖度f≤0.6时,NASA 96算法表现比较好,均方根误差值在3种算法中较小,但当f >0.6时,NASA 96算法失真严重。当考虑纯森林像元（f=1）时,Chang算法低估了雪深47%。当f≤0.3时,FY3B业务化算法始终优于Chang算法。整体上,FY3B业务化算法相对稳定,具有较高的精度。     

基于ETOPO1数据的全球及重点海域水深统计与分析

由于不同的水深探测手段及海深反演方法适用于不同深度的海域,且全球海域水深分布不均,因此在探测及反演海深之前,需对目标海域的水深分布有一定认识。本文采用ETOPO1模型对全球及部分海域进行统计分析,结果表明,全球及大西洋、印度洋、太平洋区域的水深大多处于3 000—10 000 m,其中3 000—5 000 m水深海域占比较大,因此,在这些海域主要采用重力数据结合船测数据进行反演,同时应注意避开海岸带、岛屿较多、海脊存在的区域;对于水深小于1 000 m的海域,可以根据外部环境,采用多波束船测、水深遥感、机载激光测深等方式进行探测。通过分析及统计全球和重点海域的水深可以为海深探测及海底地形反演方法的选取提供参考。     

高原地区基于微波辐射计反演大气廓线的神经网络算法研究

以2007~2018年西宁二十里铺气象站探空资料为模拟样本,利用MonoRTM模式模拟中心频率21.985~58.759GHz的35通道亮温,应用BP神经网络对模拟数据进行反复训练,构建最优反演模型,并以2019年探空资料为测试样本,对比分析了不同季节和不同天气条件下BP神经网络与微波辐射计的反演效果。结果表明：晴空条件下,BP神经网络与微波辐射计在温度反演上效果最佳,水汽密度次之,相对湿度最差,其中冬春季BP神经网络反演效果优于微波辐射计,夏秋季反之;有云条件下,BP神经网络温度反演效果在冬、春和夏季均优于微波辐射计,其水汽密度反演效果在四季均较微波辐射计有明显提升,其相对湿度反演效果在冬、春和夏季均较微波辐射计更佳。晴空和有云条件下,BP神经网络在不同季节反演温度、水汽密度和相对湿度的平均绝对误差和标准偏差均小于微波辐射计,尤其是相对湿度的反演精度提升最为明显。晴空条件下,BP神经网络反演温度廓线在春、夏和秋季效果最佳,反演水汽密度廓线在中低层精度较高,反演相对湿度廓线的精度较差,但基本和探空资料趋势一致;有云条件下,BP神经网络反演温度廓线与晴空时基本一致,较微波辐射计精度更高,反演水汽密度和相对湿度廓线在8km以上效果较好。