云南岩石圈热结构   总被引：11，自引：0，他引：11  

周真恒  邓万明 《中国地震》1997,13(3):213-222

本文探讨了云南深部热流及岩石圈地温分布的横向变化特征，并将岩石圈热结构概括为３种类型；典型现代构造活动区热结构，中间过渡型地质区热结构和稳定地质区热结构。最后，简单讨论了地热与地震活动的关系。  相似文献   

深部热流体上涌对天水强震区深部发震环境形成演化过程的影响作用          下载免费PDF全文

施锦  刘耀炜  高安泰 《地震工程学报》2004,26(3):255-259

通过与肯尼亚Gregory地堑的深部构造的对比分析，本研究了天水强震区深部发震环境的形成演化过程及其主要特征，探讨了深部热流体上涌在该地区深部发震环境形成演化过程中所起的重要作用，为进一步研究该地区前兆形成机理打下基础。  相似文献   

宁南深层岩溶地下水系统三维数值模拟   总被引：2，自引：0，他引：2  

李向全  侯新伟  张莉 《地球科学进展》2004,(Z1)

宁南“南北古脊梁”岩溶裂隙水系统的储水空间以岩溶裂隙为主,岩溶水的空间分布明显受南北向大型断裂构造控制。根据水动力场和水化学场特征,划分了3个相对独立的岩溶水子系统。通过三维数值模拟计算,确定了马渠—洪河岩溶水子系统天然资源量和可开采资源量,为本区的地下水合理开发利用提供了科学依据。  相似文献   

欧亚大陆及西太平洋边缘海岩石圈结构   总被引：15，自引：0，他引：15  

朱介寿  曹家敏  蔡学林  严忠琼 《地球科学进展》2004,19(3):387-392

根据欧亚大陆及西太平洋地区天然地震、人工地震及其他地学资料，采用多学科多手段进行综合反演，建立欧亚大陆及西太平洋边缘海岩石圈模型，对欧亚大陆及西太平洋边缘海岩石圈软流圈结构进行研究。探讨欧亚大陆及西太平洋边缘海板块结构及深部动力学问题。  相似文献   

Web Use in Geographical and Environmental Education: An International Survey at the Primary and Secondary Level   总被引：2，自引：0，他引：2  

Lea Houtsonen  Ilta-Kanerva Kankaanrinta  Antti Rehunen 《GeoJournal》2004,60(2):165-174

This article aims to study Web use and Web-based co-operation and collaboration in geographical and environmental education at the primary and secondary level around the world. Recent trends and future opportunities and challenges are taken into account. The theoretical part of the study considers Web use and different forms of Web-based co-operation. Web use and co-operation in education are classified as co-operative learning, collaborative learning or communal learning. Web use in geographical and environmental education is noted to be growing in significance. Web-based co-operation at any level of intensity is associated with many opportunities and challenges. The empirical part of this study involves a survey of geographical and environmental education researchers in various countries about their views of Web use in education. The results of this survey indicate that the Web in general finds minimal use in geographical and environmental education. As access to the Web is limited and only some pupils can use it, co-operation, particularly collaborative learning on the Web, is still rare in geographical and environmental education. The most often used application is e-mail. Researchers recognise the potential of the Web to enhance local, national and international co-operation, and to facilitate a better understanding of geographical and environmental issues at the grass-root level. Web-based learning can also help to increase and deepen the pupils' cultural understanding. Before that, however, problems in access, costs and teacher training must be solved. This revised version was published online in August 2006 with corrections to the Cover Date.  相似文献   

Formation and shortening deformation of a back-arc rift basin revealed by deep seismic profiling, central Japan   总被引：1，自引：0，他引：1  

Hiroshi Sato  Takaya Iwasaki  Shinji Kawasaki  Yasutaka Ikeda  Nobuhisa Matsuta  Tetsuya Takeda  Naoshi Hirata  Taku Kawanaka   《Tectonophysics》2004,388(1-4):47

The northern Fossa Magna (NFM) basin is a Miocene rift system produced in the final stages of the opening of the Sea of Japan. It divides the major structure of Japan into two regions, with north-trending geological structures to the NE of the basin and EW trending structures to the west of the basin. The Itoigawa-Shizuoka Tectonic Line (ISTL) bounds the western part of the northern Fossa Magna and forms an active fault system that displays one of the largest slip rates (4–9 mm/year) in the Japanese islands. Deep seismic reflection and refraction/wide-angle reflection profiling were undertaken in 2002 across the northern part of ISTL in order to delineate structures in the crust, and the deep geometry of the active fault systems. The seismic images are interpreted based on the pattern of reflectors, the surface geology and velocities derived from refraction analysis. The 68-km-long seismic section suggests that the Miocene NFM basin was formed by an east dipping normal fault with a shallow flat segment to 6 km depth and a deeper ramp penetrating to 15 km depth. This low-angle normal fault originated as a comparatively shallow brittle/ductile detachment in a high thermal regime present in the Miocene. The NFM basin was filled by a thick (>6 km) accumulation of sediments. Shortening since the late Neogene is accommodated along NS to NE–SE trending thrust faults that previously accommodated extension and produce fault-related folds on their hanging wall. Based on our balanced geologic cross-section, the total amount of Miocene extension is ca. 42 km and the total amount of late Neogene to Quaternary shortening is ca. 23 km.  相似文献   

Microcrack networks in granite affected by a fault zone: Visualization by confocal laser scanning microscopy     

Celia T. Onishi  Ichiko Shimizu   《Journal of Structural Geology》2005,27(12):170

Microcracks in the Cretaceous Ryoke-type granite in Japan were investigated by using deep drilling core samples collected in the Mizunami Underground Research Project of the Japan Nuclear Cycle Development Institute (JNC). The granite body suffered brittle deformation associated with Tertiary thrust movement. Based on core-scale and microscopic deformation features, the drill core from a depth of 300 to 700 m is divided into four domains, i.e. (A) undeformed granite, (B) granite intruded by cataclastic seams, (C) fractured granite in the fault damage zone, and (D) foliated cataclasite at the fault center. To characterize microcrack geometries in each domain, we employed the impregnation method using a low-viscous acrylic resin doped with fluorescent agents and captured the microcrack images by confocal laser scanning microscopy (CLSM). The CLSM image in the fault damage zone revealed anisotropic development of microcrack networks related to the fault movement. Both CLSM observation and porosity measurements reveal a drastic increase of micro-pores in the foliated cataclasite, possibly caused by fragmentation, and granulation and crack sealing in the fault zone.  相似文献   

Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China     

Mingjuan Xie  Geping Luo  Olaf Hellwich  Amaury Frankl  Wenqiang Zhang  Chunbo Chen  Chen Zhang  Philippe De Maeyer 《水文研究》2021,35(12):e14444

The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R² = 0.25–0.90) was slightly worse than that of the RF algorithm (R² = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R² = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R² = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.  相似文献   

Site characterization model using least‐square support vector machine and relevance vector machine based on corrected SPT data (Nc)     

Pijush Samui  T. G. Sitharam 《国际地质力学数值与分析法杂志》2010,34(7):755-770

Statistical learning algorithms provide a viable framework for geotechnical engineering modeling. This paper describes two statistical learning algorithms applied for site characterization modeling based on standard penetration test (SPT) data. More than 2700 field SPT values (N) have been collected from 766 boreholes spread over an area of 220 sqkm area in Bangalore. To get N corrected value (N_c), N values have been corrected (N_c) for different parameters such as overburden stress, size of borehole, type of sampler, length of connecting rod, etc. In three‐dimensional site characterization model, the function N_c=N_c (X, Y, Z), where X, Y and Z are the coordinates of a point corresponding to N_c value, is to be approximated in which N_c value at any half‐space point in Bangalore can be determined. The first algorithm uses least‐square support vector machine (LSSVM), which is related to a ridge regression type of support vector machine. The second algorithm uses relevance vector machine (RVM), which combines the strengths of kernel‐based methods and Bayesian theory to establish the relationships between a set of input vectors and a desired output. The paper also presents the comparative study between the developed LSSVM and RVM model for site characterization. Copyright © 2009 John Wiley & Sons, Ltd.  相似文献   

迁移学习支持下的高分影像山地滑坡灾害解译模型     

郭加伟  李永树  李政  刘锟铭  张帅毅 《测绘科学技术学报》2016,(5):496-501

无人机低空遥感是近年来新兴的一种快速获取灾情信息的手段,如何利用无人机高分影像构建滑坡灾害解译模型是实现快速自动解译滑坡的关键。针对该问题,对比了多种影像特征提取方法,将迁移学习(TL)特征和支持向量机(SVM)引入到构建滑坡灾害自动解译模型中,提出了一种TL支持下的高分影像滑坡灾害解译模型。选取5·12汶川地震及4·20芦山地震系列无人机影像构建了滑坡灾害样本库并进行了实验,TL特征方法整体分类准确度ACC为95%,ROC达到0.98,识别准确率达到97%。结果表明,所提方法可用于高分影像滑坡自动解译,同时可用于大面积高分影像中快速山地滑坡灾害定位及检测。  相似文献