ArcFractal: An ArcGIS Add-In for Processing Geoscience Data Using Fractal/Multifractal Models

Natural Resources Research - Fractal and multifractal models, including the concentration-area (C–A) fractal model, spectrum-area (S–A) multifractal model, and local singularity...     

西太平洋海山区构造分区图编制及玄武岩Nd同位素填图

基于公开的地球物理、地球化学数据以及国内外航次调查积累的海底地形等资料,笔者编制了西太平洋海山区1:500万构造分区图.西太平洋海山区构造分区图包括1幅主图和3幅辅图,主图为《西太平洋海山区构造分区图》,共划分出了3个一级板块、22个二级分区块体、12个三级分区块体,3幅辅图分别为《西太平洋海山区地质构造图》、《西太平...     

Impacts of native vegetation on the hydraulic properties of the concentrated flows in bank gullies

To quantify the impacts of native vegetation on the spatial and temporal variations in hydraulic properties of bank gully concentrated flows, a series of in situ flume experiments in the bank gully were performed at the Yuanmou Gully Erosion and Collapse Experimental Station in the dry-hot valley region of the Jinsha River, Southwest China. This experiment involved upstream catchment areas withone-and two-year native grass(Heteropogon contortus) and bare land drained to bare gully headcuts, i.e., Gullies 1, 2 and 3. In Gully 4, Heteropogon contortus and Agave sisalana were planted in the upstream catchment area and gully bed, respectively. Among these experiments, the sediment concentration in runoff in Gully 3 was the highest and that in Gully 2 was the lowest, clearly indicating that the sediment concentration in runoff obviously decreased and the deposition of sediment obviously increased as the vegetation cover increased. The concentrated flows were turbulent in response to the flow discharge. The concentrated flows in the gully zones with native grass and bare land were sub-and supercritical, respectively. The flow rate and shear stress in Gully 3 upstream catchment area were highest among the four upstream catchment areas, while the flow rate and shear stress in the gully bed of Gully 4 were lowest among the four gully beds, indicating that native grass notably decreased the bank gully flow rate and shear stress. The Darcy–Weisbach friction factor(resistance f) and flow energy consumption in the gully bed of Gully 4 were notably higher than those in the other three gully beds, clearly indicating that native grass increased the bank gully surface resistance and flow energy consumption. The Reynolds number(Re), flow rate, shear stress, resistance f, and flow energy consumption in the gully beds and upstream areas increased over time, while the sediment concentration in runoff and Froude number(Fr) decreased. Overall, increasing vegetation cover in upstream catchment areas and downstream gully beds of the bank gully is essential for gully erosion mitigation.     

Test area of the SAGE survey

Sky surveys represent one of the most important efforts to improve developments in astrophysics,especially when using new photometric bands. We are performing the Stellar Abundance and Galactic Evolution(SAGE) survey with a self-designed SAGE photometric system, which is composed of eight photometric bands. The project mainly aims to study the stellar atmospheric parameters of ～0.5 billion stars in ～12 000 deg2 of the northern sky, which mainly focuses on Galactic astronomy, as well as some aspects of extragalactic astronomy. This work introduces the detailed data reduction process of the test field NGC 6791, including the data reduction of single-exposure images and stacked multi-exposure images, and properties of the final catalog.     

Mapping Geochemical Anomalies Through Integrating Random Forest and Metric Learning Methods

Extracting geochemical anomalies from geochemical exploration data is one of the most important activities in mineral exploration. Geochemical anomaly detection can be regarded as a binary classification problem. The similarity between geochemical samples can be measured by their distance. The key issue of this classification is to find the intrinsic relationship and distance between geochemical samples to separate geochemical anomalies from background. In this paper, a hybrid method that integrates random forest and metric learning (RFML) is used to identify geochemical anomalies related to Fe-polymetallic mineralization in Southwest Fujian Province of China. RFML does not require any specific statistical assumption on geochemical data, nor does it depend on sufficient known mineral occurrences as the prior knowledge. The geochemical anomaly map obtained by the RFML method showed that the known Fe deposits and the generated geochemical anomaly area have strong spatial association. Meanwhile, the receiver operating characteristic curves for the results of RFML and another method, namely maximum margin metric learning, indicated that the RFML method exhibited better performance, suggesting that RFML can be effectively applied to recognize geochemical anomalies.

     

矢量图形与影像图像一体化实现

本文在阐述影像金字塔相关理论（构建方法、影像切割等）的基础上,采用VC2005编程实现了在同一GIS系统中进行矢量数据和栅格数据叠加显示的功能模块。该模块可确定是否加载影像,并根据当前矢量图显示范围自动加载不同分辨率的影像图。     

经验模态法在中国沿岸海平面变化中的应用研究

我国现代海平面变化的系统研究,开始于80年代前后,主要集中于海平面年变率和预测。早期所采用的方法有直线回归法、周期法外推预测等,之后有本征分析方法、随机动态预测模型及灰色系统方法等,以上方法各有利弊,但都因为不能较精确得到海平面变化中的各种周期变化而使得预测精度较差,尤其是对于海平面变化中较长周期的分辨方面。     

内蒙古荒漠草原沙生针茅(Stipa glareosa)、碱韭(Allium polyrhizum)和骆驼蓬(Peganum harmala)叶形态性状对土壤水氮耦合的响应

研究降水和氮沉降对荒漠草原植物叶形态性状的影响,对于预测未来全球变化下荒漠草原植物的生态适应具有重要意义.对增减雨(±50％)和氮添加(10 g·m-2.a-1)及其交互作用对乌拉特荒漠草原区优势植物叶形态性状的影响研究结果表明:(1)沙生针茅(Stipa glareosa)、碱韭(Allium polyrhizum)...     

桂阳宝山西矿群孔抽水试验曲线分析

桂阳宝山矿区主要含水层壶天群及梓门桥组白云岩,与桂阳县城联成一坎,据水文地质特征,矿区至县城可划分为3个水文地质单元,在矿区西矿段距县城1.1km以上的K23孔连续抽水55天,抽取水最21.1万吨,主孔水位自322.95m降至267.45m,主孔周围有29个观测孔,控制面积4.6km~2,圈定的降落漏斗为椭圆形,面积0.5km~2。通过对各种试验数据与曲线分析说明试验区含水体主要补给源为降雨渗入,在西矿水位降至267m时,与县城之间无水力联系。