Kelvin-Voigt黏弹性介质井孔声场有限差分数值模拟与波形特征

岩石介质具有黏滞性,黏弹性介质模型相对于弹性介质模型更为接近岩石介质的真实情况。根据Kelvin-Voigt黏弹性单元体模型本构关系,推导了柱坐标系下各向同性黏弹性介质时间域交错网格有限差分方程,进行了黏弹性介质井孔声场的数值模拟。模拟结果表明：品质因子和声源中心频率对黏弹性介质中的井内外声场均有影响：井外声场和井内声场的衰减均随品质因子的增大而减小,井外声波和井内反射波振幅随之增大;井外声场的衰减随声源中心频率的增大而减小,井外声波振幅随之增大,井内声场的衰减随声源中心频率的增大而增大,井内反射波振幅随之减小。     

基于镜像图的LRC和CRC偏差结合的人脸识别

为了提高人脸识别率及更好地显示人脸特征,本文提出了一种基于镜像图的LRC和CRC偏差结合的人脸识别方法.该方法首先生成一种镜像人脸,再通过融合原始人脸和镜像人脸形成新的混合训练样本,最后利用LRC和CRC偏差结合进行人脸识别.新方法增加了训练样本的数目,克服了由于光照和姿态等外部因素带来的影响.实验结果表明,镜像图与LRC和CRC偏差结合的人脸识别方法提高了人脸识别的准确性.     

山东滨州市冰雹天气分型和预报方法研究

利用山东滨州市7个国家气象站与61个人影作业站点观测资料,结合高空观测及探空、ECMWF再分析等资料,对2001—2011年滨州降雹时空分布特征、天气系统和物理量特征、降雹形势分型和预报方法进行研究。得出:(1)降雹日数年均8.6次,总体呈现明显下降的年际变化特征;4—10月可降雹,6—7月降雹最多;降雹主要出现在14时—翌日02时;北部沿海相对较多。(2)降雹形势主要有5种类型:冷涡型降雹、低槽型降雹、横槽型降雹、西北气流型降雹、其他小范围降雹。根据冷涡中心位置冷涡型划分为两个关键区;低槽型可分为前倾槽、阶梯槽、较深低槽、与中低纬度共同作用的槽;横槽型降雹范围广、破坏性大;西北气流型存在连续性。(3)4类13种物理量具有不同分布特征和变异系数,均具有较好的代表性。不同月份、不同降雹影响程度和影响系统,物理量具有较明显差别。(4)0℃层高度在1370~5331m时,7种物理量可用于预报冰雹,K≥17℃、T850-500≥25℃、LI≤2℃、SRH≥0.1m^2·s^-2、SSI≥240、SWEAT≥100、Cape≥2J·kg^-1时可能降雹。6月、7—8月和其它月分别有3种、1种、3种物理量指标组合可用于预报冰雹,物理量的组合和数值有差异。     

某水电站地下厂房岩体质量分级研究

根据某水电站地下厂房各勘探平硐现场统计的基础数据,采用RMR分类、Q系统法、水电系统分类法(HC法)、BQ法对地下厂区围岩岩体质量进行了分析评价,然后综合4种方法的评价结果,得到了各硐段的综合岩体质量类别,使这4种分类法相互补充、相互验证,达到综合确定围岩类别的目的,以此作为围岩稳定性分类的基础.此外,还对不同方法所得的评价结果进行了相关性分析.     

Coastal and estuarine habitat mapping, using LIDAR height and intensity and multi-spectral imagery

The airborne laser scanning LIDAR (LIght Detection And Ranging) provides high-resolution Digital Terrain Models (DTM) that have been applied recently to the characterization, quantification and monitoring of coastal environments. This study assesses the contribution of LIDAR altimetry and intensity data, topographically-derived features (slope and aspect), and multi-spectral imagery (three visible and a near-infrared band), to map coastal habitats in the Bidasoa estuary and its adjacent coastal area (Basque Country, northern Spain). The performance of high-resolution data sources was individually and jointly tested, with the maximum likelihood algorithm classifier in a rocky shore and a wetland zone; thus, including some of the most extended Cantabrian Sea littoral habitats, within the Bay of Biscay. The results show that reliability of coastal habitat classification was more enhanced with LIDAR-based DTM, compared with the other data sources: slope, aspect, intensity or near-infrared band. The addition of the DTM, to the three visible bands, produced gains of between 10% and 27% in the agreement measures, between the mapped and validation data (i.e. mean producer's and user's accuracy) for the two test sites. Raw LIDAR intensity images are only of limited value here, since they appeared heterogeneous and speckled. However, the enhanced Lee smoothing filter, applied to the LIDAR intensity, improved the overall accuracy measurements of the habitat classification, especially in the wetland zone; here, there were gains up to 7.9% in mean producer's and 11.6% in mean user's accuracy. This suggests that LIDAR can be useful for habitat mapping, when few data sources are available. The synergy between the LIDAR data, with multi-spectral bands, produced high accurate classifications (mean producer's accuracy: 92% for the 16 rocky habitats and 88% for the 11 wetland habitats). Fusion of the data enabled discrimination of intertidal communities, such as Corallina elongata, barnacles (Chthamalus spp.), and stands of Spartina alterniflora and Phragmites australis, which presented misclassification when conventional visible bands were used alone. All of these results were corroborated by the kappa coefficient of agreement. The high classification accuracy found here, selecting data sources, highlights the value of integrating LIDAR data with multi-spectral imagery for habitat mapping in the intertidal complex fringe.     

海洋工程污染分类研究

给出海洋工程的概念和定义,对海洋工程污染的分类和研究现状进行了讨论。从海洋工程污染的工程特征要素、污染特征要素、程度要素和管理要素进行了分类研究,认为海洋工程污染的分类,可按其工程特征要素,对其进行离海岸的远近、离海底的高度、使用材质、移动与否等分类;可按其工程污染要素,对其进行化学污染、物理污染、生物损害、地质损害与污染等分类;可按其工程污染影响的深度特征要素,对其进行重度影响、中度影响和轻度影响分类;可按其工程污染的管理角度,对其进行海洋工程和海岸工程的分类。     

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对《土地利用现状分类》中有关问题的探讨

按照土地的属性、利用方式和覆盖特征,结合土地利用特点,对土地利用现状分类含义进行了深入的研究,认为部分土地分类的含义值得商榷,并提出了解决问题的途径.     

An introduction to the classification of the physiognomic landscape types: methodology and results of testing in the area of Kazimierz Landscape Park (Poland)

The publication of the European Landscape Convention (2000) had a stimulating effect on the development of both new systems of landscape classification and new methods of their evaluation and mapping. As an example, a new classification of physiognomic landscape types was developed in Poland in 2014. The objectives of the paper are to (1) popularize, on the international scale, the classification of physiognomic landscape types in a new, improved version, (2) present the original method of physiognomic landscape types mapping with the use of the system of basic landscape units, and (3) present the results of testing of the method in the area of the Kazimierz Landscape Park, Poland. In the area of the Kazimierz Landscape Park, 491 basic landscape units were delimited, within which, on the basis of the leading traits of land relief and cover forms, the physiognomic landscape types were identified. Maps of this type can be important tools in implementing the recommendations of the European Landscape Convention. The total number of physiognomic landscape types identified within a specific area can be one of the key indicators of landscape diversity.     

Geospatial data mining for digital raster mapping

We performed an in-depth literature survey to identify the most popular data mining approaches that have been applied for raster mapping of ecological parameters through the use of Geographic Information Systems (GIS) and remotely sensed data. Popular data mining approaches included decision trees or “data mining” trees which consist of regression and classification trees, random forests, neural networks, and support vector machines. The advantages of each data mining approach as well as approaches to avoid overfitting are subsequently discussed. We also provide suggestions and examples for the mapping of problematic variables or classes, future or historical projections, and avoidance of model bias. Finally, we address the separate issues of parallel processing, error mapping, and incorporation of “no data” values into modeling processes. Given the improved availability of digital spatial products and remote sensing products, data mining approaches combined with parallel processing potentials should greatly improve the quality and extent of ecological datasets.