青海省河南县5.1级地震与震后趋势讨论

对发生在 1 999年 9月 2 7日青海省河南县 5.1级地震的考察结果进行了报道 ,并对震后趋势进行了讨论     

医用X线CT及工业X线CT对中国尖齿兽筛板结构的观察及CT在古生物学研究中的应用价值

目的是观察杨氏中国尖齿兽有无筛板骨,探讨Ｘ线ＣＴ在古生物学研究中的应用价值。方法：选择扫描参数用传统ＣＴ、高档ＣＴ及工业ＣＴ分别对杨氏中国尖齿兽头骨化石标本进行扫描。结果：杨氏中国尖齿兽脑腔、鼻腔之间存在筛板骨,高档及工业ＣＳ能清晰显示筛板结构。结论：Ｘ线ＣＴ是无创性观察化石内部结构的方法,在古生物学研究方法中占据重要位置。     

土壤含水量与温度对羊草、大针茅典型草原土壤—植物系统温室气体收支影响的初步研究

本研究首次以我国内蒙古典型草原生态系统为研究对象,以密闭箱法对土壤－植物系统与大气间Ｎ２Ｏ和ＣＨ４气体交换进行了原位观测研究,通过结合实验室模拟实验研究表明,土壤含水量和温度对草原土壤－植物系统温室气体（Ｎ２Ｏ和ＣＨ４）排放通量有着重要的影响。在一定范围内,土壤含水量增加促进草原生态系统Ｎ２Ｏ排放和ＣＨ４吸收作用。温度升高促进草原生态系统Ｎ２Ｏ排放,但对ＣＨ４吸收的影响作用不明显。     

窑街矿区煤成气及其储集条件

窑街矿区煤系中的暗色泥岩、油页岩、煤层和泥灰岩是生成天然气的烃源岩,研究其地球化学特征和煤岩特征并据此确定了该区天然气的成因类型。研究表明,该区天然气是窑街群中的烃源岩经过漫长的地质作用演化而来,它们经过运移,储存于煤系砂岩的孔隙和基岩裂隙中,在有利于储油气圈闭里,形成了小型的油气藏。      

长输埋地管道振动台试验传感器布置方案研究

在进行长输埋地管道振动台试验的过程中,针对数据信息的采集量测以及传感器的布置位置进行了研究。采用三维数值模拟的方法对管-土相互作用体系进行了地震反应分析,内容包括埋地管道结构纵、横向在非一致地震动作用下的地震响应及受力变形特征。根据计算结果确定了主观测断面及辅助观测断面的位置及观测断面上传感器布置的位置,在满足基本信息采集要求的前提下,对可供采用的信息采集通道进行了优化分配,由此确定本次试验的观测断面以及传感器的具体测量部位与数目。成果对试验获得成功起到了保障作用,可为同类试验提供参考。     

饱和黄土场地原位试验及液化势评价

目前,主要依靠室内动力试验对黄土液化势进行评价。由于黄土特殊的结构性,室内试验对其饱和的过程较为复杂,且与实际场地饱和黄土差异明显,导致室内黄土液化试验结果并不能代表现场饱和黄土的抗液化强度。本文选取兰州市西固区寺儿沟村某饱和黄土场地进行钻孔测试,现场实施了标准贯入试验、静力触探试验以及剪切波速测试。应用Robertson的土类指数分类图对该场地不同含水率黄土的土类进行了界定,确定了饱和黄土属于类砂土,有液化势。应用NCEER推荐方法,计算了3组原位试验数据的饱和黄土循环抗力比（CRR）,通过与1976年唐山地震和1999年集集地震液化土CRR对比,得出了饱和黄土抗液化强度很低的结论。     

An improved HASM method for dealing with large spatial data sets

Surface modeling with very large data sets is challenging. An efficient method for modeling massive data sets using the high accuracy surface modeling method (HASM) is proposed, and HASM_Big is developed to handle very large data sets. A large data set is defined here as a large spatial domain with high resolution leading to a linear equation with matrix dimensions of hundreds of thousands. An augmented system approach is employed to solve the equality-constrained least squares problem (LSE) produced in HASM_Big, and a block row action method is applied to solve the corresponding very large matrix equations. A matrix partitioning method is used to avoid information redundancy among each block and thereby accelerate the model. Experiments including numerical tests and real-world applications are used to compare the performances of HASM_Big with its previous version, HASM. Results show that the memory storage and computing speed of HASM_Big are better than those of HASM. It is found that the computational cost of HASM_Big is linearly scalable, even with massive data sets. In conclusion, HASM_Big provides a powerful tool for surface modeling, especially when there are millions or more computing grid cells.     

基于深度学习的地震与爆破事件自动识别研究

针对天然地震事件、爆破事件分类问题,使用甘肃及周边地区80个天然地震事件和20个爆破事件建立数据集,采取深度学习卷积神经网络(convolutional neural network,CNN)方法搭建两个不同结构的模型进行训练,并用500条训练集之外的天然地震事件与爆破事件波形作为测试数据集,其训练和测试准确率均达到9...     

A fundamental theorem for eco-environmental surface modelling and its applications

We propose a fundamental theorem for eco-environmental surface modelling(FTEEM) in order to apply it into the fields of ecology and environmental science more easily after the fundamental theorem for Earth's surface system modeling(FTESM). The Beijing-Tianjin-Hebei(BTH) region is taken as a case area to conduct empirical studies of algorithms for spatial upscaling, spatial downscaling, spatial interpolation, data fusion and model-data assimilation, which are based on high accuracy surface modelling(HASM), corresponding with corollaries of FTEEM. The case studies demonstrate how eco-environmental surface modelling is substantially improved when both extrinsic and intrinsic information are used along with an appropriate method of HASM. Compared with classic algorithms, the HASM-based algorithm for spatial upscaling reduced the root-meansquare error of the BTH elevation surface by 9 m. The HASM-based algorithm for spatial downscaling reduced the relative error of future scenarios of annual mean temperature by 16%. The HASM-based algorithm for spatial interpolation reduced the relative error of change trend of annual mean precipitation by 0.2%. The HASM-based algorithm for data fusion reduced the relative error of change trend of annual mean temperature by 70%. The HASM-based algorithm for model-data assimilation reduced the relative error of carbon stocks by 40%. We propose five theoretical challenges and three application problems of HASM that need to be addressed to improve FTEEM.