茅家港滩面沉积物粒度变化及其与水动力的关系

根据野外观测的原始资料，绘出粒度的分布图和不同位置的剖面图，客观地分析了茅家港滩面沉积物粒度空间分布、季节变化、粒度变化与水动力的关系，研究发现：随着离岸向海距离的增加，中值粒径逐渐变小，粒径逐渐变粗。突堤内的中值粒径比突堤外的细。冬季的中值粒径比夏季的粗。随着离岸距离的增加，水动力逐渐增强，导致滩面沉积物的粒径逐渐变粗；突堤内的水动力比突堤外的水动力弱，致使突堤内滩面沉积物的中值粒径比坝外的细：冬季的水动力比夏季的水动力强，致使冬季滩面沉积物中值粒径比夏季粗。     

波浪的非线性显式弥散关系

波浪的非线性弥散关系在应用于求解波浪的变形问题时很不方便，需要与含非线性效应的缓坡方程一起进行迭代运算，往往导致数值计算的计算量太大，计算过于复杂。采用显式形式表达非线性弥散关系，可以克服上述缺点，大为简化波浪变形数值计算的计算量。本文通过将现有的非线性弥散关系进行分析比较，给出了一个更为一般的非线性弥散关系及其显式表达式，经比较可知，该显式弥散关系与相对应非线性弥散关系吻合的很好。本文最后用该显式结合含弱非线性效应的缓坡方程，对复式浅滩地形上的波浪折射绕射进行了计算。结果表明，考虑弱非线性可以得出与实验数据更为相符的结果，而采用显式弥散关系可以有效提高计算效率,在波浪的非线性计算中不失为一种切实有效的方法。     

浅海底层流与沉积物磁组构参数P、Fs对应关系的初步探讨

对海阳湾外侧浅水区域实测水体运动特征及其对应的沉积磁组构参量 ,采用线性回归方法进行统计分析 ,取得的结果是 :EV1 (估算流速 1) =17.372 4- 2 .16 87(P- 1.0 )× 10 0 +10 .890 9(Fs- 1.0 )× 10 0 ,其估计平均误差 (V(实测流速 ) - EV1 ) =0 .2 83;EV2 (估算流速 2 ) =- 886 .1178- 2 87.6 32 1P+1191.1870 Fs,其估计平均误差 (V- EV2 ) =0 .2 98。初步探讨结果表明 ,水体运移小潮期最大涨潮流底层流流速与沉积磁组构参量 P、Fs对应关系研究是可行的。     

间断地形下的亚惯性频率地形波

在纯间断化地形的条件下,从理论分析和数值计算二方面探讨了亚惯性频率地形波的频散关系。指出正压亚惯性频率地形波的波模直接取决于间断点的个数和间断度。连续地形可以看成是纯间断地形的极限情况,因此,连续地形的起伏程度有类似间断度的作用。在对连续地形的频散关系进行数值计算时,水平步长的选取对计算结果有很大的影响。     

Application of the exact constitutive relationship of modified Cam clay to the undrained expansion of a spherical cavity

The modified Cam clay (MCC) model is used to study the response of virgin‐compressed clay subjected to undrained triaxial compression. The MCC constitutive relationship is obtained in a closed form. Both elastic and plastic deviatoric strains are considered in the analysis. The solution allows to obtain total and effective stress paths followed by the clay in undrained spherical expansion. Pore water pressures are determined from the difference between total and effective mean stresses. For illustration purposes, the analysis is also applied to the well‐known reconstituted normally consolidated London clay and the results are compared with the recently published data obtained by a numerical approach. In addition, the Almansi large strains are used in the analysis, as these allow to obtain limit expansion and pore pressures, whereas both small‐strain and logarithmic‐strain approaches do not permit to determine them. Copyright © 2010 John Wiley & Sons, Ltd.     

Numerical calculation of dispersion relation for linear internal waves

With the horizontal Coriolis terms included in motion equations and the influence of compressibility of seawater on Brunt-Visl frequency considered, a numerical method of calculating the dispersion relation for linear internal waves, which is an improvement of Cai and Gan (1995), and hence Fliegel and Hunkins (1975), had been set up. For different models (Pacific model, Atlantic model and Arctic model), simulations using the three different methods were compared and the following conclusions were reached:(1) the influence of horizontal Coriolis terms on dispersion relation cannot be neglected and is connected with the direction of the wave celerity, the latitude, and the modes of the wave;(2) the effect of compressibility of seawater in stratification is not an important factor for the dispersion relation of linear internal wave, at least for those three models. With the improved method, the wavefunction curves for the Pacific model had also been built.     

How well can the subsurface storage–discharge relation be interpreted and predicted using the geometric factors in headwater areas?

Headwater storage–discharge (S–Q) remains one of the least understood processes, and there is renewed interest in the S–Q relation. How well can the S–Q relation be interpreted mechanistically using geometric factors? In this paper, the hillslope storage Boussinesq and hillslope storage kinematic wave equation were adopted to guide the theoretical derivations. Analytical solutions were derived based on the hsKW equation for nine idealized hillslope aquifers, which were subdivided into two groups, i.e. hillslope aquifers with exponential hillslope width function (C1) and hillslope aquifers with Gaussian hillslope width function (C2). We found that analytical expressions of the S–Q relation can be derived for C1 hillslope aquifers. For more compound hillslope aquifers, i.e. C2, no explicit S–Q relation can be obtained. The whole subsurface recession after a rainstorm is simulated by applying the initial saturation condition. We found that the simulated S–Q processes can be characterized by a two‐phase recession, i.e. quick and slow recession. The time (t_b) at the dividing point of the quick and slow recessions depends on the geometric factors, such as the plan and profile curvature. In the quick recession for C1, many of the S–Q curves can be described as linear or quasi‐linear functions, which indicate that linear reservoir models can be applied approximately for recession simulations. However, during the slow recession phase of C1 and during the whole recession of C2, the S–Q relations are highly non‐linear. Finally, we compared the hillslope storage kinematic wave and hillslope storage Boussinesq models for simulating subsurface water recession after a rainstorm event in a real‐world headwater catchment (G5) in China. Through comparison of the recession slope curves, we found that the simulated results of the models employing the Gaussian hillslope width function match the observed hydrograph. The results indicated that appropriate organization of the hillslope geometric factors enhances our ability to make S–Q predictions. Copyright © 2016 John Wiley & Sons, Ltd.     

基于BERT—BiLSTM—CRF模型的中文岩石描述文本命名实体与关系联合提取

地质调查正在从“数字化”走向“智能化”,需要在大数据思维的指导下,面向非结构化数据开展机器阅读和地质知识的自动提取。地学命名实体和关系联合提取是当前研究的难点和核心。本文采用基于大规模预训练中文语言模型的BERT—BiLSTM—CRF方法开展岩石描述文本命名实体与关系联合提取。首先,通过收集数字地质填图工作中的剖面测量和路线地质观测数据,建立岩石描述语料;然后,在岩石学理论指导下分析岩石知识组成,完成岩石知识图谱命名实体与关系的模式设计,标注岩石语料;最后,开展岩石描述语料知识提取的深度学习训练和消融试验对比。试验结果显示,大规模预训练中文语言模型（BERT）对岩石描述语料知识提取具有较高的适用性。推荐的BERT—BiLSTM—CRF模型方法对岩石命名实体与关系联合提取的准确率（F1值）为91.75%,对岩石命名实体识别的准确率（F1值）为97.38%。消融试验证明基于BERT的词嵌入层对岩石描述知识提取的性能提升影响显著,双向长短时记忆网络模型层（BiLSTM Layer）能提升实体关系联合提取性能。     

RBF神经网络在雷达定量估测降水中的应用研究

利用重庆气象局CINRAD/SA气象雷达降水回波资料和相应地区的地面雨量站资料,基于径向基函数神经网络,建立雷达定量估测降水模型,将其用于地面降水估测。作为比较,同时以变分法得到的Z-R关系式估测所得降水。经二者对比试验结果表明:建立的雷达定量估测降水模型的估测精度和稳定性要明显优于Z-R关系式,能较好地反映降雨的真实情况。     

利用分形的北京城市空间拓展分析

北京是中国的首都,全国的政治、文化中心和国际交往的枢纽,开展北京的城市形态结构分析,并且运用分形思想规划城市对北京人居环境的改良和人地关系的协凋都有着重要意义。鉴于此,该文基于城市分形理论中的面积-半径法和Landsat卫星遥感影像,估算了北京不同时期和2011年不同方位的城市形态半径维数以确定北京城市空间范围,并分析了北京城市空间拓展特征。研究结果显示:以天安门为中心,北京1978、1990、2000和2011年城市半径分别为7.5、10.5、14.5、16.0km,各时期城市形态半径维数均高达1.95以上,反映出北京城市空间结构的相对杂乱以及人-地关系的不协调,2000年以后则有所改善。2011年北京城市西北方位半径维数高达2.0以上,显示该方位城市空间拓展的不可持续性,而西南、东南、东北方位的半径维数在1.91~1.98之间,显示这三个方位城市建设用地密度总体呈减少趋势,但需要不断降低半径维数以保证城市空间发展的可持续性。