南海北部第四系厚度分布图的编制与简要说明     

任镇寰  杨廉法  李春初  王文介 《华南地震》2010,30(3):37-41

收集南海北部大量多道地震和钻井资料,编制了该区域首幅第四系厚度分布图。第四系等厚线总体呈NEE向,特别是珠江口外大陆架最明显,莺歌海、琼东南呈NW-EW-NE向弧形,珠江口大陆架南部存在次一级NW向等厚线。第四系等厚线分布形态明显受到断裂构造控制。  相似文献   

Twenty years of land use and livelihood changes in SE-Niger: Obsolete and short-sighted adaptation to climatic and demographic pressures?     

《Journal of Arid Environments》2013

This paper explores the evolution of land use and natural resource management strategies over the past twenty to fifty years in a remote Sahelian region. The empirical example is Karagou village in SE Niger. Building on an in-depth survey from 1992 and a targeted, follow-up analysis of contemporary land use strategies in 2011, the change process is scrutinized.The analysis uses the conceptual lenses of land systems science, human–environmental timelines, and the notion of multiple exposures. Enabling and constraining conditions for local livelihoods in terms of the resource base (landscape, water, and population) are described. Results characterize how land use strategies have developed and how local people opportunistically use different landscape elements such as dune landscapes, valley bottoms (bas-fonds) and oases (cuvettes). Major concerns are rainfall variability, saturation of cropland, and perceived dwindling groundwater resources. It is concluded that the land use and livelihood strategies have remained remarkably stable in the face of the changing socio-ecological fringe conditions, but that this situation may hamper a sustainable transformation.  相似文献   

A data‐mining approach for assessing consistency between multiple representations in spatial databases     

D. Sheeren  S. Mustière  J.‐D. Zucker 《International journal of geographical information science》2013,27(8):961-992

When different spatial databases are combined, an important issue is the identification of inconsistencies between data. Quite often, representations of the same geographical entities in databases are different and reflect different points of view. In order to fully take advantage of these differences when object instances are associated, a key issue is to determine whether the differences are normal, i.e. explained by the database specifications, or if they are due to erroneous or outdated data in one database. In this paper, we propose a knowledge‐based approach to partially automate the consistency assessment between multiple representations of data. The inconsistency detection is viewed as a knowledge‐acquisition problem, the source of knowledge being the data. The consistency assessment is carried out by applying a proposed method called MECO. This method is itself parameterized by some domain knowledge obtained from a second method called MACO. MACO supports two approaches (direct or indirect) to perform the knowledge acquisition using data‐mining techniques. In particular, a supervised learning approach is defined to automate the knowledge acquisition so as to drastically reduce the human‐domain expert's work. Thanks to this approach, the knowledge‐acquisition process is sped up and less expert‐dependent. Training examples are obtained automatically upon completion of the spatial data matching. Knowledge extraction from data following this bottom‐up approach is particularly useful, since the database specifications are generally complex, difficult to analyse, and manually encoded. Such a data‐driven process also sheds some light on the gap between textual specifications and those actually used to produce the data. The methodology is illustrated and experimentally validated by comparing geometrical representations and attribute values of different vector spatial databases. The advantages and limits of such partially automatic approaches are discussed, and some future works are suggested.  相似文献   

An adaptive approach to selecting a flow‐partition exponent for a multiple‐flow‐direction algorithm     

C. Qin  A.‐X. Zhu  T. Pei  B. Li  C. Zhou  L. Yang 《International journal of geographical information science》2013,27(4):443-458

Most multiple‐flow‐direction algorithms (MFDs) use a flow‐partition coefficient (exponent) to determine the fractions draining to all downslope neighbours. The commonly used MFD often employs a fixed exponent over an entire watershed. The fixed coefficient strategy cannot effectively model the impact of local terrain conditions on the dispersion of local flow. This paper addresses this problem based on the idea that dispersion of local flow varies over space due to the spatial variation of local terrain conditions. Thus, the flow‐partition exponent of an MFD should also vary over space. We present an adaptive approach for determining the flow‐partition exponent based on local topographic attribute which controls local flow partitioning. In our approach, the influence of local terrain on flow partition is modelled by a flow‐partition function which is based on local maximum downslope gradient (we refer to this approach as MFD based on maximum downslope gradient, MFD‐md for short). With this new approach, a steep terrain which induces a convergent flow condition can be modelled using a large value for the flow‐partition exponent. Similarly, a gentle terrain can be modelled using a small value for the flow‐partition exponent. MFD‐md is quantitatively evaluated using four types of mathematical surfaces and their theoretical ‘true’ value of Specific Catchment Area (SCA). The Root Mean Square Error (RMSE) shows that the error of SCA computed by MFD‐md is lower than that of SCA computed by the widely used SFD and MFD algorithms. Application of the new approach using a real DEM of a watershed in Northeast China shows that the flow accumulation computed by MFD‐md is better adapted to terrain conditions based on visual judgement.  相似文献   

基于序列参数的水库地震类型综合判定研究     

宋金  杨马陵  吴时平  蒋海昆 《中国地震》2013,29(4):462-471

收集整理了我国大陆东部地区44 组水库地震序列,其中震群型32 组,主余型和孤立型12 组。分别计算了44 组序列的h 值、b 值、归一化熵值K、能量均匀度U、地震发生方式参数ρ 等5 个序列参数。在95% 的置信水平下,对每一参数分震群型、主余型加孤立型两大类进行差异性检验。结果表明,h、U、ρ 值对水库地震序列类型的分类能力不强;b 值平均值虽存在一定差异,但数值分布范围有部分重叠;K 值差异性显著,K = 0. 35 可作为区分震群型与主余型加孤立型两类水库地震序列的判别指标。在此基础上,建立以上述5 个参数为自变量的Fisher 判别函数,用于序列类型的综合判定。结果显示,所有数据全部参与建立判别函数并进行回溯性内符判别检验,识别正确率为97. 6% ;利用32 组序列参数参与判别函数建立,另外10 组进行外推检验,识别正确率为100% ,表明上述综合判别方法具有较高的水库地震序列分类能力。  相似文献   

Pressure-specific and multiple pressure response of fish assemblages in European running waters     

Rafaela Schinegger  Clemens Trautwein  Stefan Schmutz 《Limnologica》2013,43(5):348-361

We classified homogenous river types across Europe and searched for fish metrics qualified to show responses to specific pressures (hydromorphological pressures or water quality pressures) vs. multiple pressures in these river types. We analysed fish taxa lists from 3105 sites in 16 ecoregions and 14 countries. Sites were pre-classified for 15 selected pressures to separate unimpacted from impacted sites. Hierarchical cluster analysis was used to split unimpacted sites into four homogenous river types based on species composition and geographical location. Classification trees were employed to predict associated river types for impacted sites with four environmental variables. We defined a set of 129 candidate fish metrics to select the best reacting metrics for each river type. The candidate metrics represented tolerances/intolerances of species associated with six metric types: habitat, migration, water quality sensitivity, reproduction, trophic level and biodiversity. The results showed that 17 uncorrelated metrics reacted to pressures in the four river types. Metrics responded specifically to water quality pressures and hydromorphological pressures in three river types and to multiple pressures in all river types. Four metrics associated with water quality sensitivity showed a significant reaction in up to three river types, whereas 13 metrics were specific to individual river types. Our results contribute to the better understanding of fish assemblage response to human pressures at a pan-European scale. The results are especially important for European river management and restoration, as it is necessary to uncover underlying processes and effects of human pressures on aquatic communities.  相似文献   

A modified stochastic neighbor embedding for multi-feature dimension reduction of remote sensing images     

《ISPRS Journal of Photogrammetry and Remote Sensing》2013

In automated remote sensing based image analysis, it is important to consider the multiple features of a certain pixel, such as the spectral signature, morphological property, and shape feature, in both the spatial and spectral domains, to improve the classification accuracy. Therefore, it is essential to consider the complementary properties of the different features and combine them in order to obtain an accurate classification rate. In this paper, we introduce a modified stochastic neighbor embedding (MSNE) algorithm for multiple features dimension reduction (DR) under a probability preserving projection framework. For each feature, a probability distribution is constructed based on t-distributed stochastic neighbor embedding (t-SNE), and we then alternately solve t-SNE and learn the optimal combination coefficients for different features in the proposed multiple features DR optimization. Compared with conventional remote sensing image DR strategies, the suggested algorithm utilizes both the spatial and spectral features of a pixel to achieve a physically meaningful low-dimensional feature representation for the subsequent classification, by automatically learning a combination coefficient for each feature. The classification results using hyperspectral remote sensing images (HSI) show that MSNE can effectively improve RS image classification performance.  相似文献   

个旧东区变基性火山岩型铜矿成因分析     

郑世红 《云南地质》2012,(3):325-330

有证据表明,个旧矿区矿产除与花岗岩密切相关外,基性火山或喷流沉积作用也较明显,变基性火山岩型铜矿的发现及研究增添不少理由。该型Cu矿层状、似层状,赋存于个旧组下段卡房段,矿层多,具同生沉积构造,从而对个旧矿区成矿理论增添新看法。  相似文献   

A study of supervised classification accuracy in fuzzy topological methods     

Wenzhong Shi  Kimfung Liu  Hua Zhang 《International Journal of Applied Earth Observation and Geoinformation》2011

The multiple classifier system (MCS) is an effective automatic classification method, useful in connection with remote sensing analysis techniques. Combining MSC with induced fuzzy topology enables a decomposition of image classes. This fuzzy topological MCS then provides a new and improved approach to classification. The basic classification methods discussed in this paper include maximum likelihood classification (MLC), minimum distance classification (MIND) and Mahalanobis distance classification (MAH).  相似文献   

Seismic characterization of reservoirs with multiple fracture sets using velocity and attenuation anisotropy data     

Aamir Ali  Morten Jakobsen 《Journal of Applied Geophysics》2011,75(3):590-602

Knowledge about the spatial distribution of the fracture density and the azimuthal fracture orientation can greatly help in optimizing production from fractured reservoirs. Frequency-dependent seismic velocity and attenuation anisotropy data contain information about the fractures present in the reservoir. In this study, we use the measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuths to infer information about the multiple fracture sets present in the reservoir. We consider a reservoir model with two sets of vertical fractures characterized by unknown azimuthal fracture orientations and fracture densities. Frequency-dependent seismic velocity and attenuation anisotropy data is computed using the effective viscoelastic stiffness tensor and solving the Christoffel equation. A Bayesian inversion method is then applied to measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuth to estimate the azimuthal fracture orientations and the fracture densities, as well as their uncertainties. Our numerical examples suggest that velocity anisotropy data alone cannot recover the unknown fracture parameters. However, an improved estimation of the unknown fracture parameters can be obtained by joint inversion of velocity and attenuation anisotropy data.  相似文献