一个两时间层分裂显格式海洋环流模式(MASNUM)及其检验

A two-time-level, three-dimensional numerical ocean circulation model（named MASNUM） was established with a two-level, single-step Eulerian forward-backward time-differencing scheme. A mathematical model of large-scale oceanic motions was based on the terrain-following coordinated, Boussinesq, Reynolds-averaged primitive equations of ocean dynamics. A simple but very practical Eulerian forward-backward method was adopted to replace the most preferred leapfrog scheme as the time-differencing method for both barotropic and baroclinic modes. The forward-backward method is of second-order of accuracy, computationally efficient by requiring only one function evaluation per time step, and free of the computational mode inherent in the three-level schemes. This method is superior to the leapfrog scheme in that the maximum time step of stability is twice as large as that of the leapfrog scheme in staggered meshes thus the computational efficiency could be doubled. A spatial smoothing method was introduced to control the nonlinear instability in the numerical integration. An ideal numerical experiment simulating the propagation of the equatorial Rossby soliton was performed to test the amplitude and phase error of this new model. The performance of this circulation model was further verified with a regional（northwest Pacific） and a quasi-global（global ocean simulation with the Arctic Ocean excluded） simulation experiments. These two numerical experiments show fairly good agreement with the observations. The maximum time step of stability in these two experiments were also investigated and compared between this model and that model which adopts the leapfrog scheme.     

《测绘工程》稿约

正《测绘工程》是由黑龙江工程学院和中国测绘学会联合主办的测绘类专业期刊。主要面向全国测绘类高等院校教师、研究生、科研人员,测绘生产单位及科研单位的科技工作者,测绘生产一线的工程技术人员。《测绘工程》是中国科学引文数据库(CSCD)收录期刊和中国科技核心期刊。在2007年和2012年连续两届测绘优秀期     

FLU-net：用于表征页岩储层微观孔隙的深度全卷积网络

页岩孔隙是页岩气储集的主要空间,孔隙的形状、大小、连通性与发育程度很大程度上决定了页岩储集层的储集性能,因此,页岩气开采首先需要对其孔隙有充分的认识。基于阈值分割法获取页岩孔隙结构参数是目前页岩微观结构表征的一种重要手段,但是受扫描电镜图像灰度分布差异的影响,该方法需要逐一修改图像的最佳分割阈值以达到最好的孔隙分割效果,且阈值分割方法无法直接划分孔隙类别,这给后续的页岩微观结构定量表征带来了麻烦。为了实现页岩孔隙的智能识别和分类,笔者设计基于像素级语义分割的深度全卷积神经网络FLU-net,对页岩孔隙识别并分类为有机孔、无机孔（粒内孔、粒间孔）及裂缝,并结合孔隙尺度分类统计方法,分析不同类型孔隙发育数量、孔径大小、孔隙度等参数,实现页岩储层微观孔隙结构的自动化定量表征。以重庆渝西区块足201井区和四川盆地威远地区威204井区的页岩扫描电镜图像为研究对象,在对1 600幅页岩扫描电镜图像原始数据进行人工标注并划分数据集后,使用FLU-net进行孔隙识别,结果表明,本方法具有较高的准确率,同时自动化程度和泛化能力均高于传统预测方法。因此,扫描电镜与基于深度学习的语义分割模型结合是定量研究页岩微观结构表征的有效手段。     

多类训练迭代法在沉积盆地圈闭评价中的应用

本文介绍了多类训练迭代法计算的基本原理和计算过程。将此法成功地应用于某沉积盆地的圈闭评价中,结果表明未钻探的３８ 个圈闭可分三类,其中１０ 个圈闭为Ⅰ类,８ 个圈闭为Ⅱ类,其余的２０ 个圈闭为Ⅲ类     

基于可变因子的变分贝叶斯SINS海上动态对准

针对传统变分贝叶斯自适应滤波中,基于经验选取常值遗忘因子,不能自适应时变量测噪声的问题,提出一种基于可变因子的变分贝叶斯自适应滤波,并应用于船载捷联惯性导航系统(strapdown inertial navigation system,SINS)动态对准。首先利用变分贝叶斯方法近似噪声的后验分布,估计时变量测噪声和状态向量后验分布。其次通过噪声方差时变强度构造可变因子,实现自适应调整变分贝叶斯参数。最后给出了基于可变因子的GNSS/SINS海上动基座对准流程及算法。船载实测数据表明,所提算法在时变方差下,较卡尔曼滤波和传统贝叶斯滤波方位角误差收敛到0.5°范围内所需时间分别缩短了52%和44%;横滚角和方位角均方根误差分别降低57%、46%和13%、9%;东向和北向速度均方根误差分别降低56%、68%和51%、22%。     

GROWTH OF NEW ECONOMIC SECTORS IN SECOND-TIER EXTENDED CITIES IN THE CHANGJIANG RIVER DELTA——Case of Suzhou, Wuxi, Changzhou

1INTRODUCTIONUrbanrelationshipaswellasurbansystemhas beenthemostimportantandlastingdirectioninthestudyofur-bangeographysinceCHRISTALLER(1933)putfor-wardthecentralplacetheory.Alongwiththepaceofglobalizationinthe1980s,somepioneer researchessen-sitivelyexpoundedaworldcitysystem,includingworldcity,internationalcity,nationalcity,regionalcityandlocalcity(FRIEDMAN,1986).Lotsofresearchesfo-cusedonthedevelopingmechanismofthebigcitiesandurbansystemnetwork(GU,2000;ZHOU,1997;CUI,1992;HUeta…     

RSG的地形实时自适应多分辨率显示算法

从RSG(regular square grid)数据出发,通过数据预处理、保守性屏幕误差、孤立分割和添加拆分点等方法,提出了地形自适应多分辨率显示的新算法。实验证明,该算法在一定程度上消除了当前静态和动态LoD(levels of detail)中存在的问题,具有较高的实用价值,对其他模型的LoD表达也是一种借鉴。