2.5-D DC Resistivity Modeling Considering Flexibility and Accuracy

We highlighted the flexibility of using unstructured mesh together with the local refinement by a resistivity model with complicated topography. The effect of topography is emphasized. Based on this, we calculated a specific class of layered models and found that the accuracy is not always satisfactory by utilizing the standard approach. As an improvement, we employed the layered earth as the reference model to calculate the wavenumbers. The comparison demonstrates that the accuracy is considerably improved...     

全国自动地震速报系统综合评估

通过对2011年1月1日至12月31日的3套独立自动地震定位系统结果进行综合处理,得出中国自动地震综合目录,并与正式速报结果进行对比,得出全国自动地震速报系统综合评估结果,发现该目录对于国内绝大部分5级以上、国外7级以上地震实现整体覆盖,且没有误报发生,可以作为国家台网中心正式地震速报的重要参考,对于建立“自动报～正式报”的两级地震速报制度可提供技术支撑。     

Spatial variability of N2O concentrations and of denitrification-related factors in the surficial groundwater of a catchment in Northern Germany

N₂O concentrations and denitrification-related factors (NO₃, SO₄, dissolved organic carbon (DOC) and CO₂) were investigated in the surface groundwater of a catchment in northern Germany, the Fuhrberger Feld Aquifer (FFA). We sampled 79 plots that were selected according to the three criteria of land use, historical land use conversion (1954–1995) and groundwater level. We sampled three sites within each plot. The sampling depth was 0.5 m below the groundwater surface.We found no indication for the occurrence of autotrophic denitrification in the surface groundwater. Heterotrophic denitrification was identified as the main process for N₂O accumulation. The variability of N₂O concentrations on the plot-scale was extremely high and was poorly explained by the three sampling criteria. Other denitrification-related variables such as NO₃, SO₄ and DOC were less variable. The selection criteria land use and groundwater level clearly influenced the order of magnitude of N₂O concentrations in the surface groundwater. Under arable land, high NO₃ concentrations resulted in high N₂O concentrations. The surface groundwater under forest and pasture was almost NO₃-free and had also very small N₂O concentrations. Plots where the distance from the soil surface to the groundwater surface was large (>1 m up to 3.4 m) showed higher N₂O concentrations in the surface groundwater than plots where the distance was small (<1 m). A larger distance from the soil surface to the groundwater leads to a longer residence time and more decomposition of DOC in the soil. Consequently the less bioavailable DOC could inhibit the efficiency of the heterotrophic denitrification in the groundwater, yielding more N₂O. Elevated organic carbon levels in plots with historic land use conversion (pasture to arable) were very stable and did not influence N₂O concentrations. The high within plot variability showed that an upscaling of N₂O from the plot-scale to the catchment-scale is possible as long as the groundwater level regime and the land use do not change.     

影像不同空间尺度对鲁甸植被分析的影响

针对植被指数和植被覆盖度与遥感影像空间尺度的关系对高分辨率影像在植被分析中的运用具有重要影响的问题,该文提出一种确定最佳分辨率的方法。以云南鲁甸县茨院乡为研究区,先对原始影像(Worldview-2)进行重采样处理,生成一系列低分辨率影像;计算13组数据的NDVI并利用像元二分模型反演出植被覆盖度;运用信息熵理论和按照局部方差的思路等两种方法,定量分析该区植被分析的最佳分辨率。实验结果表明,随着空间分辨率的降低,NDVI值域区间呈现收敛趋势;植被覆盖度分级图斑斑块数量急剧减少,而所占面积比则保持相对平稳;信息熵中的信息量也随之减少。分析结果认为,该区进行基于Worldview-2影像植被分析的最佳空间分辨率为12m。     

松科二井邻域沙河子组含油气地层结构特征——基于测井和地震数据的分析

松辽盆地大陆深部科学钻探工程"松科二井"获得了最完整的沙河子组地层岩心,初步识别出深部页岩气气测异常43层,累计厚度102 m,显示出沙河子组地层具有良好的深部能源前景。为进一步分析松辽盆地沙河子组地层油气资源潜力,本文在前人研究的基础上,结合松科二井测井、岩心数据和地震数据,分析松科二井邻域沙河子组地层的层序特征和空间展布,同时以随钻录井记录到的气测异常为出发点,分析沙河子组地层的测井和地震响应。结果显示:松科二井邻域沙河子组地层具有厚度大、横向延续小的地层展布特点,根据测井、岩心及地震数据,将沙河子组地层分为4个三级层序:SQ1、SQ2、SQ3和SQ4,其中顶部SQ4层序具有较好的油气前景,其岩性以泥岩为主,并具有相对较高孔隙度、低波阻抗的测井曲线特征,在地震剖面上表现为连续强振幅,阻抗反演剖面上存在局部低波阻抗特征,揭示了该区沙河子组深层天然气资源的赋存条件。     

基于2 m格网点云数据的高精度DEM制作第三次国土调查坡度图

地形地貌随着时间的推移时刻发生变化,以高精度数字高程模型(EDE)数据制作坡度图,进而计算田坎系数,更精准地进行耕地面积计算及统计。以2 m格网点云数据生成的DEM数据为基础,按照第三次全国国土调查的相关技术要求,根据耕地坡度分级要求进行分级,生成坡度分级栅格数据图。对坡度分级栅格数据图进行矢量化,生成坡度分级矢量化数据。对矢量化数据进行图斑综合、界线平滑、拓扑重建、数据裁切等处理,制作完成调查区域坡度图及相关属性数据制作。并对生产的坡度图成果进行分析,找出不同尺度格网生产的坡度图的技术差异,并对高精度坡度的应用进行了展望。     

Water Self-Softening Processes at Waterfall Sites

Many rivers in tropical and subtropical karst regions are supersaturated with respect to CaCO3 and have high water hardness. After flowing through waterfall sites, river water is usually softened, accompanied by tufa formation, which is simply described as a result of water turbulence in fast-flowing water. In this paper, a series of laboratory experiments are designed to simulate the hydrological conditions at waterfall sites. The influences of air-water interface, water flow velocity, aeration and solid-water interface on water softening are compared and evaluated on a quantitative basis. The results show that the enhanced inorganic CO2 outgassing due to sudden hydrological changes occurring at waterfall sites is the principal cause of water softening at waterfall sites. Both air-water interface area and water flow velocity increase as a result of the "aeration effect", "low pressure effect" and "jet-flow effect" at waterfall sites, which greatly accelerates CO2 outgassing and therefore makes natural w     

全球碳循环研究中的δ13C方法及其进展

随着分析技术的进步,δ13C观测在全球碳循环研究中越来越受到重视。在讨论关于碳循环中δ13C的Suess效应、分布特征和同位素分馏等基本概念的基础上,结合现有的观测事实,介绍应用δ13C辨别碳的源汇问题的方法,通过比较不同KeelingPlot方法分析该方法在研究大气CO2背景特征中的意义。着重讨论δ13C在研究大气C...     

GF-2支持下的干旱区稀疏植被区植被覆盖度估算

现有像元二分模型MODIS植被覆盖度模型因其形式简单、适用性较强的特点被广泛应用于区域植被覆盖度(FVC)的估算。然而,研究表明在沙漠和低植被覆盖的西部干旱区,从250 m的影像上很难精准地获取NDVIveg(全植被覆盖植被指数)和NDVIsoil(全裸土区植被指数)参数。利用常用的直方图累计法获取模型所需参数NDVIveg和NDVIsoil,估算结果存在普遍高估现象。为此,本文首先引入同期获取的GF-2号卫星数据,从GF-2号影像上提取植被覆盖像元;然后,利用Pixel Aggregate方法重采样至250 m分辨率,获取250 m空间分辨率下纯植被和纯裸土像元;最后,将纯植被和纯裸土像元各自空间位置相对应的MODIS NDVI数据最大值作为模型所需NDVIveg和NDVIsoil参数,实现研究区内植被覆盖度的估算。试验通过与线性回归法、多项式回归法和直方图累计像元二分模型法估算结果进行精度对比,结果表明:利用GF-2影像辅助的像元二分模型,精准地获取了低植被覆盖区NDVIveg和NDVIsoil模型参数,提高了干旱区植被覆盖度的估算精度,并有效地抑制了受稀疏植被影响NDVI在干旱区普遍偏高问题导致的FVC高估的现象。     

小波分析在前兆资料处理中的应用

利用小波变换分析了河南省2003~2007年地磁、地电、地下流体以及2004~2008年断层气CO2等前兆资料,并将断层气CO2的分析结果与河南省4级以上地震进行了震例研究。结果表明,小波分析方法对不同频率的信息识别功能较强,有助于将数据的趋势变化和局部变化分离,是地震前兆数据处理的一种有效方法;断层气CO2的震例研究表明,在豫北地区4级以上地震前1~6个月,断层气CO2会出现高值突跳异常。