河北洞子沟银铜多金属矿床地质特征及成因分析

洞子沟银铜多金属矿床产于华北克拉通北缘长城系常州沟组地层中,受地层控制明显。通过对该矿床地质特征及矿石的稀土元素地球化学特征、矿物流体包裹体特征、硫氢氧同位素组成及U-Pb同位素年代研究表明:成矿物质来源于幔源;矿床形成于古元古代晚期华北克拉通吕梁运动后的伸展裂解过程中,在断陷盆地接受沉积的同时,有沿同生断裂上升的幔源热液、银铜金铅锌等成矿物质组分与常州沟组陆源碎屑一同沉积,形成洞子沟银铜多金属沉积层控型矿床。     

EH4电磁成像系统在砂岩地区勘查地下水的应用研究

EH4电磁成像系统是1套电磁自动采集和处理系统,它是CSAMT和MT的结合体.本文介绍了EH4电磁成像系统的原理、特点和该系统在砂岩地区,如内蒙、新疆、云南等地区进行地下水勘查的应用实例和效果     

关于城市交通地理信息系统模型设计的思考与改进

GIS—T模型是建立城市交通地理信息系统的主体,本文对现有GIS—T模型进行了简单的分析与评价,并且为了增加政府与公众做出决策的正确性,提出了路径畅通可靠度模型、城市交通综合指数模型、交通出行指数模型三个数学模型,以达到量化城市交通与完善GIS—T模型的目的。     

黔南-桂中地区泥盆系沉积体系研究

以详细的野外调查和前人资料为基础,对岩石组合、沉积组构、剖面序列、生物组合、沉积机理等进行分析,研究了黔南—桂中地区泥盆系沉积体系特征。研究区可划分出四种沉积体系,即台地体系、台坡体系、陆棚体系、台盆体系,其中陆棚体系主要发育于早泥盆世至中泥盆世早期;建立了相应的沉积模式,并分析其影响因素。     

江西华信神威气象数值预报业务系统简介

对神威集群机上机前的准备工作,即软件的安装和配置进行了详细介绍,并在阐述江西中尺度数值模式系统的基础上,介绍了目前江西省环境预报中心所提供的数值预报产品,以及具体的获取途径和使用方法,以使现有的数值预报资源在全省各级台站中能够得到充分利用。     

自动气象站雨量资料的获取与转换

分析了自动气象站分钟雨量资料获取与转换的必要性,介绍了雨量资料获取的思路与具体方法.通过这种方法,实现了商丘市所有自动气象站雨量资料的共享,并与GPRS、GSM乡级自动雨量站资料进行融合.     

东营市森林火险天气等级预报系统

利用9210传输的气象资料，选用国家气象中心T106和HLAFS数值预报产品中的要素作为火险天气因子，根据森林火险原因，建立了东营市森林火险天气等级预报系统。     

城乡一体化地籍信息系统功能的设计

在综合分析了城镇地籍信息系统功能和土地利用信息系统功能的基础上,研究并设计了城乡一体化地籍信息系统的功能.从地籍数据的采集、更新和应用3个层面设计了管理维护、土地调查、地籍变更、土地登记、查询分析、统计分析和共享服务等7个子系统.     

基于GIS和景观生态学的土地整理景观研究

运用GIS技术和景观生态学理论方法,以安徽省淮南市潘集区市级投资重点土地整理项目为例,选取3类景观指标,对项目区内土地整理前后的土地利用现状和景观格局变化情况进行研究。结果表明： 景观类型中水田斑块占绝对优势,斑块分维数、形状指数呈下降趋势,表明斑块形状趋于规则和简单; 斑块数量和斑块密度降低,平均斑块面积和最大斑块面积增加,最大斑块指数增大,景观破碎度降低; 平均分维数和平均形状指数增大,表明景观形状较整理前变得规则,但总体形态变得复杂; 多样性指数和均匀度指数降低,表明在增加了景观分布均匀程度的同时降低了景观的多样性,景观类型有所减少。     

Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation

Given that water resources are scarce and are strained by competing demands, it has become crucial to develop and improve techniques to observe the temporal and spatial variations in the inland water volume. Due to the lack of data and the heterogeneity of water level stations, remote sensing, and especially altimetry from space, appear as complementary techniques for water level monitoring. In addition to spatial resolution and sampling rates in space or time, one of the most relevant criteria for satellite altimetry on inland water is the accuracy of the elevation data. Here, the accuracy of ICESat LIDAR altimetry product is assessed over the Great Lakes in North America. The accuracy assessment method used in this paper emphasizes on autocorrelation in high temporal frequency ICESat measurements. It also considers uncertainties resulting from both in situ lake level reference data. A probabilistic upscaling process was developed. This process is based on several successive ICESat shots averaged in a spatial transect accounting for autocorrelation between successive shots. The method also applies pre-processing of the ICESat data with saturation correction of ICESat waveforms, spatial filtering to avoid measurement disturbance from the land–water transition effects on waveform saturation and data selection to avoid trends in water elevations across space. Initially this paper analyzes 237 collected ICESat transects, consistent with the available hydrometric ground stations for four of the Great Lakes. By adapting a geostatistical framework, a high frequency autocorrelation between successive shot elevation values was observed and then modeled for 45% of the 237 transects. The modeled autocorrelation was therefore used to estimate water elevations at the transect scale and the resulting uncertainty for the 117 transects without trend. This uncertainty was 8 times greater than the usual computed uncertainty, when no temporal correlation is taken into account. This temporal correlation, corresponding to approximately 11 consecutive ICESat shots, could be linked to low transmitted ICESat GLAS energy and to poor weather conditions. Assuming Gaussian uncertainties for both reference data and ICESat data upscaled at the transect scale, we derived GLAS deviations statistics by averaging the results at station and lake scales. An overall bias of −4.6 cm (underestimation) and an overall standard deviation of 11.6 cm were computed for all lakes. Results demonstrated the relevance of taking autocorrelation into account in satellite data uncertainty assesment.