鄂尔多斯盆地西北缘浩然柴达木地区下白垩统结构特征

鄂尔多斯盆地西北缘下白垩统为重要的找矿目的层,通过研究该套层位的结构特征,以期大致查明其深部发育情况,为盆地北部铀矿资源勘查与评价提供基础资料。文章通过对研究区可控源音频大地电磁(CSAMT)测深数据的反演处理,获得了沉积盖层的电性结构模型,结合区内地质、岩石物性及钻孔资料综合分析,认为下白垩统由浅至深主要发育两层地电结构,上部罗汉洞组纵向反映为明显的"上高下低"相对中高阻电性层,底板埋深一般在200 m左右;下部华池-环河组与洛河组整体反映为相对高阻电性层,底板埋深500~950 m,厚度400~700 m,走向北西,总体表现为北东部薄、南西部厚、中部更厚的沉积分布特征。     

随钻测斜技术现状与发展趋势

在桩基领域,随着基础设施建筑对桩基础承载能力和桩孔垂直度的质量控制要求越来越高,现有常规桩基成孔监测技术已不能满足要求;在钻探领域,随着深井、超深井、科学钻探井及水平井的成井要求越来越高,由于地层因素、工艺技术等导致的实际钻孔轨迹偏离设计轨迹的井斜问题愈发突出,井斜的监控变得越来越严格,现有仪器已不能很好地满足钻孔轨迹测量的高精度要求。针对上述问题,本文梳理了随钻测斜技术发展现状,并结合地质岩心钻探、旋挖桩孔施工工艺特点,提出实现绳索取心钻探钻孔轨迹和大直径长钻孔灌注桩孔垂直度高精度实时监测的方案,这一思路的推广将对指导施工操作、保证钻孔/桩孔的整体质量产生积极影响。     

Analysis of mobilized stress ratio of gap-graded granular materials in direct shear state considering coarse fraction effect

Weathered rockfill materials, characterized by a mixture of soil matrix and rock aggregates, are widely distributed in mountainous areas. These soils are frequently used for subgrade or riprap in engineering practice, and the mobilized shear strength is crucial for analyzing the displacement and stability of these geo-structures. A series of direct shear tests are performed on a gap-graded soil with a full range of coarse fraction. The behavior of gap-graded soils is analyzed, and a simple model is proposed for the evolution of mobilized stress ratio during direct shearing process based on mixture theory. The change of inter-aggregate configuration is incorporated by introducing a structure variable which increases with coarse fraction and decreases approximately linearly with the overall horizontal shear strain in double logarithmic plot. It reasonably reflects a gradually transformation from a matrix-sustained structure into an aggregate-sustained one with the increase of coarse fraction. The model has four parameters, and at least two direct shear tests need to be done for the calibration. Validation of the model is done by using the test data in this work and those from the literature.

     

地图的哲学内涵及其作用探讨

通过分析哲学和地图本质特征之间的关联,探讨了地图的哲学内涵及其在实现地图目的中起到的作用,尝试在通过地图认识世界、改造世界的探索道路上寻根溯源,从强化根基的角度使地图在新时代发挥更大的作用.     

亚洲热带气候态夏季风涌传播特征及其对中国降水的影响

基于1979—2020年逐日的NOAA向外长波辐射资料、NCEP/NCAR再分析风场资料,以及全球CMAP再分析降水资料,探讨了气候态亚洲热带夏季风涌的传播过程及与我国夏季相应的降水联系。分析结果表明,主汛期亚洲热带气候态夏季风季节内振荡(CISO)活动是亚洲夏季风活动的主要特征,随时间北传的亚洲热带夏季风CISO称为亚洲热带夏季风涌,主要有南亚夏季风涌和南海夏季风涌。亚洲热带夏季风涌的传播可分为四个阶段。在亚洲热带夏季风涌的发展阶段,印度洋区域低频气旋与对流活跃,孟加拉湾和南海热带区域被低频东风控制,我国大部分地区无降水发生,降水中心位于两广地区。当进入亚洲热带夏季风涌活跃阶段,孟加拉湾和南海热带地区低频气旋和对流活跃,东亚低频“PJ”波列显著,我国降水中心北移到长江以南的附近区域。亚洲热带夏季风涌减弱阶段,孟加拉湾与南海低频气旋消亡,对流减弱,低频西风加强,日本南部附近为低频反气旋控制,我国长江中下游低频南风活跃,降水中心也北移到长江中下游地区,而华南地区已基本无降水,此阶段的大气低频环流场与亚洲热带夏季风涌发展阶段基本相反。进入亚洲热带夏季风涌间歇阶段时,孟加拉湾和南海热带地区低...     

一种基于BP网的非线性变换信号模式识别算法

为了获取常用超短波信号的特征参数,采取一种非线性变换的方法。根据信号参数的分布信息,对信号特征不够明显的参数进行二次变换,使所有信号的特征参数都具有较好的区分度,并利用BP网对这些特征参数进行识别。大量的仿真实验表明,该方法参数提取容易,计算量较小,在较低信噪比下能够较好地识别常用的超短波信号。识别的信号为2FSK、MSK、QAM、DPSK和FM。     

桩基工程的环境负效应及对策

本文通过桩基工程实例 ,着重介绍了在工程桩施工过程中 ,对为遏制危及周围建筑物的影响所采取的有效防护措施 ,业已取得了明显的效果     

Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra

The absorption spectrum of phytoplankton is an important bio-optical parameter for ocean color hyperspectral remote sensing;its magnitude and shape can be affected considerably by pigment composition and concentration.We conducted Gaussian decomposition to the absorption spectra of phytoplankton pigment and studied the spectral components of the phytoplankton,in which the package effect was investigated using pigment concentration data and phytoplankton absorption spectra.The decomposition results were compared with the corresponding concentrations of the five main pigment groups(chlorophylls a,b,and c,photo-synthetic carotenoids(PSC),and photo-protective carotenoids(PPC)).The results indicate that the majority of residual errors in the Gaussian decomposition are0.001 m~(-1),and R~2 of the power regression between characteristic bands and HPLC pigment concentrations(except for chlorophyll b)was0.65 or greater for surface water samples at autumn cruise.In addition,we determined a strong predictive capability for chlorophylls a,c,PPC,and PSC.We also tested the estimation of pigment concentrations from the empirical specific absorption coefficient of pigment composition.The empirical decomposition showed that the Ficek model was the closest to the original spectra with the smallest residual errors.The pigment decomposition results and HPLC measurements of pigment concentration are in a high consistency as the scatter plots are distributed largely near the 1:1 line in spite of prominent seasonal variations.The Wozniak model showed a better fit than the Ficek model for Chla,and the median relative error was small.The pigment component information estimated from the phytoplankton absorption spectra can help better remote sensing of hyperspectral ocean color that related to the changes in phytoplankton communities and varieties.     

A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements

Local place names are frequently used by residents living in a geographic region. Such place names may not be recorded in existing gazetteers, due to their vernacular nature, relative insignificance to a gazetteer covering a large area (e.g. the entire world), recent establishment (e.g. the name of a newly-opened shopping center) or other reasons. While not always recorded, local place names play important roles in many applications, from supporting public participation in urban planning to locating victims in disaster response. In this paper, we propose a computational framework for harvesting local place names from geotagged housing advertisements. We make use of those advertisements posted on local-oriented websites, such as Craigslist, where local place names are often mentioned. The proposed framework consists of two stages: natural language processing (NLP) and geospatial clustering. The NLP stage examines the textual content of housing advertisements and extracts place name candidates. The geospatial stage focuses on the coordinates associated with the extracted place name candidates and performs multiscale geospatial clustering to filter out the non-place names. We evaluate our framework by comparing its performance with those of six baselines. We also compare our result with four existing gazetteers to demonstrate the not-yet-recorded local place names discovered by our framework.     

Forecasting Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms

Natural Resources Research - An accurate forecasting model for the price volatility of minerals plays a vital role in future investments and decisions for mining projects and related companies. In...