云南勐海地区离子吸附型稀土矿控矿因素及找矿前景

云南勐海地区地处临沧-勐海(岩浆弧) Fe-Pb-Zn-Au-Ag-Sn-Sb-Ge-REE矿带(Ⅳ9)南段,近年来该区发现多个离子吸附型稀土矿床。为查明勐海地区离子吸附型稀土矿床控矿因素,指导后续找矿工作,本文在野外地质调查和室内综合整理分析的基础上,对勐海地区离子吸附型稀土矿床的成矿地质背景和成矿特征进行了初步研究,探讨了本区离子吸附型稀土矿床控矿因素与找矿前景。研究表明,勐海地区离子吸附型稀土矿床是以轻稀土为主的稀土矿,其成矿母岩为晚三叠世临沧花岗岩,次生富集成矿于新生代以来;其矿床的形成不仅受成矿母岩、地球化学、构造等内在因素的影响,亦受地形地貌、气候和植被等外在因素的控制,在勐海回龙卡-帕宫苏胡一带形成一条北西-南东向的稀土矿富集带。结合1∶5万矿调工作成果,认为勐海地区成矿地质条件优越,具有很大的离子吸附型稀土矿找矿前景。     

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。     

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。     

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.     

An improved building detection approach using L-band POLSAR two-dimensional time-frequency decomposition over oriented built-up areas

The objective of this study is to efficiently extract detailed information about various man-made targets in oriented built-up areas using polarimetric synthetic aperture radar (POLSAR) images. This paper develops an improved approach for building detection by utilizing Two-Dimensional Time-Frequency (2-D TF) decomposition. This method performs outstandingly in distinguishing between man-made and natural targets based on the isotropic behaviors, frequency-sensitive responses, and scattering mechanisms of objects. The proposed method can preserve the spatial resolution and exploit the advantages of TF decomposition; specifically, the exact outlines of buildings can be effectively located, and more types of features (e.g., flat roofs, roads, and walls that are oblique to the radar illumination) can be distinguished from forests in complex built-up areas by 2-D TF decomposition. The coarser-resolution subaperture images that are produced in the azimuth direction, which correspond to different looking angles, are beneficial for detecting man-made structures with main scattering centers oriented at oblique angles with respect to the radar illumination. In the range direction, the obtained subaperture images, which correspond to various observation frequencies, can be helpful in distinguishing flat roofs and roads from forests. This method was successfully implemented to analyze both NASA/JPL L-band AIRSAR and L-band EMISAR data sets. The building detection results of the proposed method exhibit a significant improvement over those of other methods and reach an overall accuracy over 80%, with approximately 20% higher than the accuracies of K-means clustering and the entropy/alpha-Wishart classifier and approximately 10% higher than the accuracy of the support vector machine method. Moreover, building details can be precisely detected, obliquely oriented buildings can be identified, and the distinction between buildings and forests is significantly improved, as both visually and statistically indicated. This method is highly adaptable and has substantial application value.     

Complete genome of Cobetia marina JCM 21022T and phylogenomic analysis of the family Halomonadaceae

Cobetia marina is a model proteobacteria in researches on marine biofouling. Its taxonomic nomenclature has been revised many times over the past few decades. ~To better understand the role of the surface-associated lifestyle of C. marina and the phylogeny of the family Halomonadaceae, we sequenced the entire genome of C. marina JCM 21022 ~T using single molecule real-time sequencing technology(SMR~T) and performed comparative genomics and phylogenomics analyses. ~The circular chromosome was 4 176 300 bp with an average GC content of 62.44% and contained 3 611 predicted coding sequences, 72 t RNA genes, and 21 r RNA genes. ~The C. marina JCM 21022 ~T genome contained a set of crucial genes involved in surface colonization processes. ~The comparative genome analysis indicated the significant diff erences between C. marina JCM 21022 ~T and Cobetia amphilecti KMM 296(formerly named C. marina KMM 296) resulted from sequence insertions or deletions and chromosomal recombination. Despite these diff erences, pan and core genome analysis showed similar gene functions between the two strains. ~The phylogenomic study of the family Halomonadaceae is reported here for the first time. We found that the relationships were well resolved among every genera tested, including Chromohalobacter, Halomonas, Cobetia, Kushneria, Zymobacter, and Halotalea.     

闽三角红树林底栖软体动物共存格局及机制

以漳江口国家级红树林自然保护区、九龙江口省级红树林自然保护区和泉州湾省级湿地保护区3个红树林分布区作为研究对象,研究底栖软体动物在中等尺度下的共存格局及机制。利用非度量多维标度分析、基于蒙特卡洛的零模型和网络分析探讨底栖软体动物的共存格局,利用raup-crik零模型识别决定性过程和随机过程测定底栖软体动物的相对重要性。结果显示,漳江口、九龙江口和泉州湾湿地共发现37种底栖软体动物,底栖软体动物的平均密度、物种数及群落物种组成差异显著。软体动物的共存格局呈现非随机分散和模块化,这些格局同时受到决定性过程和随机过程的调控作用,其中,物种竞争起主导作用。     

Seasonal abundance and distribution of pelagic tunicates (Chordata: Thaliacea) in the central South China Sea

1IntroductionTunicates(Chordata:Thaliacea)are large pe-lagic gelatinous zooplankton.They can be used as in-dicator species for ocean currents and water bodies(Chen et al.,1980;Chen et al.,1988;Lin,1988,1990;Lin and Zhang,1993;Thompson,1948).They also play…     

激光实时干涉计量技术和雷达差分干涉技术测量形变的对比研究及其意义

分别叙述了激光干涉技术和雷达差分干涉技术的原理及应用. 采用激光实时干涉计量技术实验室观测试样在加压过程中的形变,研究不同破裂孕育区所表现的不同应变异常场特征. 采用雷达差分干涉技术可以测量地形及地表形变,并且有西藏玛尼、张北——尚义等地震前后的形变测量结果. 指出激光实时干涉计量技术与雷达差分干涉技术相似,都是以条纹变化图研究形变异常场特征. 因此, 对雷达差分干涉技术测量的孕震过程中的形变场,特别是临近大震发生前的形变场特征进行观测和以激光干涉技术进行实验及对比研究均将很有意义.      

中国GIS产业发展问题与对策研究

虽然中国GIS产业比十多年前有了显著的进步,但是问题依然很多,集中表现为:GIS产业规模小、应用广度和深度不够;GIS产业服务体系不健全;GIS教育不能适应产业发展的需要;GIS标准化工作滞后。中国GIS产业的发展壮大,不仅需要地理信息技术的进步,GIS软件产品的创新,而且要建立相应的产业服务体系,加快GIS新型人才的培养。中国GIS产业发展过程中的一系列问题是环环相扣的,我们不应该就事论事、画地为牢,而是要“大处着眼、小处着手”,加强当前比较薄弱的产业环节。随着国家信息化进程的推进,特别是电子政务建设的兴起,中国GIS产业面临许多新的机遇。正视目前存在的问题,及时采取适宜的对策,中国GIS产业必将蓬勃发展。