采坑型滑坡地质力学模式研究--以贵州省福泉滑坡为例     

王小明  史文兵  梁风  马文鹏 《防灾减灾学报》2020,(1):13-19

福泉滑坡具有顺倾上硬下软的结构特征,采用颗粒流离散元模拟采动滑坡的变形破坏全过程,研究福泉滑坡在露天开采条件下变形破坏的地质力学模式。基于颗粒流离散元程序,引入平行粘结模型,通过参数标定确定细观参数与宏观力学性质的关系,据此建立斜坡模型,模拟斜坡采动过程中的变形破坏全过程,确定该类采动滑坡形成的地质力学模式;研究滑坡滑动过程中的速度和能量变化以及堆积特征。研究表明:斜坡采动过程中,潜在滑面顺层滑移,后缘拉裂,裂纹从下往上向软弱面拓展,前缘坡脚处岩体形成锁固段,斜坡出现由前缘至后缘缘递减的蠕滑变形,随着斜坡进一步采动,锁固段发生剪切破坏,前缘坡体启动,中后部裂缝贯通—滑移,斜坡整体失稳破坏,形成牵引式采动滑坡,该类滑坡形成的地质力学模式可分为:滑移—拉裂—剪断3个阶段;对滑坡运动过程的模拟可知,采坑积水是小坝组受灾的关键转化因子。  相似文献   

An Automatic Method for Detecting Transients and Variable Sources in AST3 Survey Based on Image Subtraction and Random Forest     

《Chinese Astronomy and Astrophysics》2020,44(1):41-60

AST3-2 (the second Antarctic Survey Telescope) is located in Antarctic Dome A, the loftiest ice dome on the Antarctic Plateau. It produces a huge amount of observational data which require a more efficient data reduction program to be developed. Also the data transmission in Antarctica is much difficult, thus it is necessary to perform data reduction and detect variable and transient sources remotely and automatically in Antarctica, but this attempt is restricted by the unsatisfactory performance of the low power consumption computer in Antarctica. For realizing this purpose, to develop a new method based on the existing image subtraction method and random forest algorithm, taking the AST3-2 2016 dataset as the test sample, becomes an alternative choice. This method performs image subtraction on the dataset, then applies the principle component analysis to extract the features of residual images. Random forest is used as a machine learning classifier, and in the test a recall rate of 97% is resulted for the positive sample. Our work has verified the feasibility and accuracy of this method, and finally found out a batch of candidates for variable stars in the AST3-2 2016 dataset.  相似文献   

The Basic Shape Classification of Space Debris with Light Curves     

LU Yao  ZHAO Chang-yin 《Chinese Astronomy and Astrophysics》2021,45(2):190-208

We study the machine learning method for classifying the basic shape of space debris in both simulated and observed data experiments, where light curves are used as the input features. In the dataset for training and testing, simulated light curves are derived from four types of debris within different shapes and materials. Observed light curves are extracted from Mini-Mega TORTORA (MMT) database which is a publicly accessible source of space object photometric records. The experiments employ the deep convolutional neural network, make comparisons with other machine learning algorithms, and the results show CNN (Convolutional Neural Network) is better. In simulational experiments, both types of cylinder can be distinguished perfectly, and two other types of satellite have around 90% probability to be classified. Rockets and defunct satellites can achieve 99% success rate in binary classification, but in further sub-classes classifications, the rate becomes relatively lower.  相似文献   

A high accurate automated first-break picking method for seismic records from high-density acquisition in areas with a complex surface     

Yinpo Xu  Cheng Yin  Xuefeng Zou  Yudong Ni  Yingjie Pan  Liangjun Xu 《Geophysical Prospecting》2020,68(4):1228-1252

As the application of high-density high-efficiency acquisition technology becomes more and more wide, the areas with complex surface conditions gradually become target exploration areas, and the first-break picking work of massive low signal-to-noise ratio data is a big challenge. The traditional method spends a lot of manpower and time to interactively pick first breaks, a large amount of interactive work affects the accuracy and efficiency of picking. In order to overcome the shortcoming that traditional methods have weak anti-noise to low signal-to-noise ratio primary wave, this paper proposes a high accurate automated first-break picking method for low signal-to-noise ratio primary wave from high-density acquisition in areas with a complex surface. Firstly, this method determines first-break time window using multi-azimuth spatial interpolation technology; then it uses the improved clustering algorithm to initially pick first breaks and then perform multi-angle comprehensive quality evaluation to first breaks according to the following sequence: ‘single trace → spread → single shot → multiple shots’ to identify the abnormal first breaks; finally it determines the optimal path through the constructed evaluation function and using the ant colony algorithm to correct abnormal first breaks. Multi-azimuth time window spatial interpolation technology provides the base for accurately picking first-break time; the clustering algorithm can effectively improve the picking accuracy rate of low signal-to-noise ratio primary waves; the multi-angle comprehensive quality evaluation can accurately and effectively eliminate abnormal first breaks; the ant colony algorithm can effectively improve the correction quality of low signal-to-noise ratio abnormal first breaks. By example analysis and comparing with the commonly used Akaike Information Criterion method, the automated first-break picking theory and technology studied in this paper has high picking accuracy and the ability to stably process low signal-to-noise ratio seismic data, has a significant effect on seismic records from high-density acquisition in areas with a complex surface and can meet the requirements of accuracy and efficiency for massive data near-surface modelling and statics calculation.  相似文献   

数字正射影像结合LiDAR数据在山区测绘中的应用     

严慧敏 《测绘通报》2020,(1):115-119

随着信息化社会的到来，现代水利测绘已经由传统测绘向信息化测绘发展，无人机技术应用于测绘行业推进了信息化测绘进程。本文探讨了如何有效利用无人机技术解决测绘领域在山区遇到的问题。固定翼无人机能及时获取地面数字正射影像数据，捕获裸露地面的平面和高程，但是无法获取植被覆盖下的地表高程信息，因此，本文通过机载激光雷达获取植被覆盖下的LiDAR点云数据；将二者数据相结合，再通过EPS软件生成三维地表模型，可以快速获取任何测区地物和地形数据，不仅提高了工作效率，还降低了外业劳动强度。  相似文献   

Analysis and Comparison for Fusion Algorithms of Time Transfer     

WANG Wei-xiong  DONG Shao-wu  WU Wen-jun  GUO Dong  ZHANG Jian 《Chinese Astronomy and Astrophysics》2021,45(2):224-235

  相似文献   

Long-term hydrological,biogeochemical, and climatological data from Walker Branch Watershed,East Tennessee,USA     

Natalie A. Griffiths  Patrick J. Mulholland 《水文研究》2021,35(3):e14110

In 1967, the original Walker Branch Watershed (WBW) project was established to study elemental cycling and mass balances in a relatively unimpacted watershed. Over the next 50+ years, findings from additional experimental studies and long-term observations on WBW advanced understanding of catchment hydrology, biogeochemistry, and ecology and established WBW as a seminal site for catchment science. The 97.5-ha WBW is located in East Tennessee, USA, on the U.S. Department of Energy's Oak Ridge Reservation. Vegetation on the watershed is characteristic of an eastern deciduous, second-growth forest. The watershed is divided into two subcatchments: the West Fork (38.4 ha) and the East Fork (59.1 ha). Headwater streams draining these subcatchments are fed by multiple springs, and thus flow is perennial. Stream water is high in base cations due to weathering of dolomite bedrock and nutrient concentrations are low. Long-term observations of climate, hydrology, and biogeochemistry include daily (1969–2014) and 15-min (1994–2014) stream discharge and annual runoff (1969–2014); hourly, daily, and annual rainfall (1969–2012); daily climate and soil temperature (1993–2010); and weekly stream water chemistry (1989–2013). These long-term datasets are publicly available on the WBW website (https://walkerbranch.ornl.gov/long-term-data/ ). While collection of these data has ceased, related long-term measurements continue through the National Ecological Observatory Network (NEON), where WBW is the core terrestrial and aquatic site in the Appalachian and Cumberland Plateau region (NEON's Domain 7) of the United States. These long-term datasets have been and will continue to be important in evaluating the influence of climatic and environmental drivers on catchment processes.  相似文献   

基于斩波轮技术的K波段接收机噪声校准研究          下载免费PDF全文

王凯  王洋  陈卯蒸  段雪峰  闫浩  马军  陈晨雨  曹亮 《天文学报》2020,61(1):1

接收机是射电天文中用于探测微弱射电信号的重要接收设备.接收机的强度校准就是将接收机对射电源的响应转换为天文意义上的流量密度.常规方法就是使用经典的冷热负载法,将接收机自身的强度响应转换为一个等效的温度值,之后再据此对射电源做进一步标定.通过搭建基于斩波轮技术的K波段接收机强度校准平台,使用斩波轮法测试K波段常温接收机的噪声温度,并与传统冷热负载法的测试结果进行比对.结果显示,在晴好天气条件下,斩波轮法在30°、90°仰角下噪声温度的最大测试误差为7.5%和8.4%,可以很好地应用于实际噪声温度测试中;但在5°仰角测试中,由于过低仰角引入了地面噪声,使得斩波轮法的测试误差上升至20%–30%之间而无法使用.希望在此基础上进一步开展K波段天空亮温度的理论计算与实测,从而完善斩波轮技术的应用,使之可以满足在不同气象条件下的噪声校准测试需求.  相似文献   

基于航空重、磁数据的南黄海海相地层分布特征识别     

佟晶  张婉  张玄杰  熊盛青 《中国地质调查》2020,7(5):95-106

基于南黄海海域实测高精度航空重、磁数据,结合航空重、磁场及物性特征,通过平均对数功率谱分析匹配滤波方法技术,对南黄海海相地层界面起伏引起的重、磁异常特征进行分离、提取,采用切线法和外奎尔法计算海相地层界面的深度,经地质和地球物理综合解释,编制了南黄海海相地层底界面、顶界面深度图及海相地层厚度图。在此基础上,初步划分了南黄海海相地层构造单元,探讨了南黄海海相地层的分布特征。苏北—南黄海坳陷区的中部坳陷和南部坳陷均发育在强磁性基底之上,构造变形较弱,海相地层保存完整,埋藏浅,厚度为4~8 km,是南黄海地区具有较大资源潜力的油气勘探区。  相似文献   

基于高分影像的松嫩低平原地区生态环境问题解析——以黑龙江省肇源县为例     

丁宇雪  毛龙  周向斌  初炜钰 《吉林大学学报(地球科学版)》2020,50(4):1240-1248

基于高分辨率卫星影像数据，利用遥感、GIS技术获取黑龙江省肇源县内自然资源与生态地质环境各因子分布现状数据，其中：耕地2 541.75 km²、林地161.88 km²、草地349.00 km²、河流128.05 km²、湖泊215.80 km²、沼泽109.17 km²、其他水域84.65 km²、建设用地191.25 km²、未利用地329.94 km²；湿地1 334.54 km²、荒漠化土地775.47 km²。利用地类覆盖率、人均占有量以及景观指数（破碎度指数、平均斑块分形指数、分形维数、多样性指数、均匀度指数）量化分析后，得出两类生态地质环境因子中湿地资源尤其是自然湿地受人类活动干扰程度较大、荒漠化土地受人类活动干扰程度较小的结论。并选取老山村等典型地区进行了多期次遥感动态监测及野外核查，揭示了松嫩低平原典型地区目前存在的湿地退化、土地荒漠化等生态地质环境问题。  相似文献