Geolord-AT空三加密软件处理数码航片的方法

在Geolord-AT空三加密软件中对数码航片进行框标定向的前期处理，创建带有框标的数码航片或者直接创建内定向的＊．kb文件，使数码航片顺利按要求通过内定向。     

CSAMT法在松辽盆地伊胡塔地区嫩江组中的定位应用

上白垩统嫩江组不仅是松辽盆地南部重要的生油层系,而且在本区砂岩型铀成矿中也起着非常重要的作用.从ZK4孔的方法过井测深试验以及地电结构的对比分析入手, 对探区内嫩江组的空间分布范围进行了分析研究,通过钻探施工,证实了CSAMT法应用的有效性.     

基于GEE和遥感大数据的1986—2015年全球城镇用地扩张占用水体时空特征

以全球年度城市动态数据（GAUD）和全球地表水动态数据集（GSW）为基础数据,利用Google Earth Engine（GEE）解析了1986—2015年全球城镇用地扩张占用永久性和季节性水体的时空分布特征。研究发现：30 a间全球城镇用地扩张直接占用水体的面积为1 033.2 km²,其中包括季节性水体711.7 km²和永久性水体321.5 km²,呈现先增加后降低的变化趋势。亚洲是城镇用地扩张占用水体面积最多的大洲,其次是北美洲和欧洲,占用水体的面积分别为799.4 km²、122.5 km²和61.1 km²。欧洲是唯一以占用永久性水体为主的大洲。陆地面积排名前十的国家中,中国、美国和印度是城镇用地扩张占用水体面积最多的国家,占用水体的面积分别为573.1 km²、109.6 km²和24 km²。以占用永久性水体为主的国家是俄罗斯和阿尔及利亚。尽管世界各国在水资源保护方面做出了巨大努力,但实现联合国可持续发展目标背景下,需防控更多的水体因城镇用地扩张而消失。     

长江口南支潮流的一个数值模拟

为了能够精确地拟合天然水域不规则的水陆边界,并能保持有限差分数值计算在矩形网格中进行,本文利用Thompson的数值网格生成技术,在长江口南支七丫口至横沙河段设计了一个椭圆型边界拟合坐标系,并在这个坐标系下建立了平面二维潮流数学模型。通过数值求解此数学模型,实现了计算区域内现状潮流的一个数值模拟,模拟结果表明,模式的设计是成功的。     

苏州地域开发适宜性分区

中国经济发达地区在工业化和城市化快速发展过程中,出现的地域开发过密和无序的状况,导致自然生态及农业发展受到较大破坏,可持续性受到威胁。以生态-经济为导向的地域开发适宜性分区,强调让开发成本低、资源环境容量大、发展能力强的地区承担高强度社会经济活动;而让生态价值高、开发难度大的区域承担农业和生态维护功能,以此促进经济、人口、资源、环境相互关系及空间秩序的协调。在借鉴已有区划方法的基础上,讨论了评价单元划分、评价指标选择与处理等技术方法,通过生态和经济重要性指数的矩阵分类分析,将苏州地域划分为优先开发、适度开发、适度保护以及禁止开发等四大类型,并针对不同类型提出分区管制要求。     

南海夏季风暴发过程的低频特征

应用1979～1996年共18a的NOAA卫星OLR资料及NCEP/NCAR再分析850hPa风场资料,分析了夏季南海地区及南海季风暴发过程的某些低频特征。认为北半球夏季南海地区的低频活动较活跃,并且具有明显的年际变化,这种年际变化同南海季风的暴发时间有联系。南海地区的低频振荡在南海季风暴发后增强。通过对18a 及K*的时段叠加合成图的分析,发现南海夏季风的暴发同赤道印度洋低频振荡的东传及西太平洋低频扰动西传有密切联系,南海夏季风暴发期间南海地区将印度洋与西太平洋之间的低频活动联系在一起。     

南海北部上层海洋变化的定点观测分析

对南海季风试验(CSMEX)加密观测期(IOP)“实验3”号船在南海北部获得的CTD温盐和声学多普勒流速剖面仪(ADCP)海流等观测资料进行分析,给出东沙群岛西南部大陆坡附近IOP两个阶段定点观测的海洋分量部分结果,通过分析海水的动力、热力学结构,描述夏季风暴发、维持期间该测站上层海洋的变化,讨论近表面水的温度、盐度和海流对海面风场的响应.     

Kübler Index and K-Ar Ages of Illite in the Yinshan Polymetallic Deposit, Jiangxi Province, South China: Analyses and Implications

Abstract. The Yinshan polymetallic deposit is a hydrothermal vein-type deposit closely related to Late Jurassic felsic-inter-mediate volcanic-subvolcanic activity in Jiangxi Province, South China. Illite is a major alteration mineral observed in the deposit. Our study shows that the Kübler index of the illite has a close relation to ore-forming fluids of different stages of hydrothermal alteration and mineralization. The early Pb-Zn-Ag mineralization dated at 130–136 Ma is characterized by relatively low water/rock ratios and diffusive fluid movement within phyllite, whereas the later Cu-Au-S mineralization at 122 -125 Ma was accompanied by higher water/rock ratios and localized fluid flow through fractures and channels. Illite formed in the early Pb-Zn-Ag mineralization stage contains swelling layers while the illite formed in the later Cu-Au-S mineralization stage has no swelling layers but was associated with intensive chloritization. The last stage of mineralization (at 104 Ma) was minor and did not produce significant amounts of illite.     

基于GIS的旅游交通巨变下客源空间结构演化分析——以惠州龙门县为例

基于GIS技术,结合旅游需求引力模型,以惠州市龙门县为例,选取3个时间段,对旅游交通变化驱动下的旅游客源空间结构演化进行分析.结果显示,龙门县旅游交通从无高速公路连接、向有相关高速公路连接到高速公路过境变化,客源市场空间结构对应表现为经济要素为第一指向性的跳跃式分布、向交通要素为第一指向性转变的连续分布到基本以交通驱动...     

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.