长江经济带城乡居民福祉测度及其差异

通过构建城乡居民客观发展指数、主观幸福感指数和福祉差异系数,分析了2005-2015年长江经济带城镇、乡村居民福祉水平及其差距的动态变化过程和空间差异,探讨其影响因素与作用机制.结果表明:1)长江经济带及各省城乡居民福祉均呈上升趋势,区域城镇和乡村居民福祉指数分别由2005年的0.6653、0.5704提高至2015年...     

从珠三角到大珠三角再到粤港澳大湾区：改革开放以来中国的国家尺度重组

尺度重组是解释当前国家、城市等地域组织参与全球化竞争的工具媒介。文章以中国华南地区改革开放以来广东、香港、澳门三地跨界合作为例,借鉴行动者网络理论的研究方法深入剖析珠三角、大珠三角及粤港澳大湾区3个“新国家空间”的尺度重组过程,揭示中国尺度重组的政治经济逻辑。研究发现,行动者拥有的资源决定了其在尺度网络中的地位,而中国的“新国家空间”形成主要依托中央政府推动,其发展目标的设定具有决定性作用,港澳特区政府、广东省地方政府、乡镇企业和外资企业等其他行动者在协同合作中将自身的发展目标与之融合形成了“强制通过点”。纵观三阶段的演变过程,制度因素的重要性越来越得到凸显。     

Estimating open boundary conditions from coastal tidal observations by adjoint approach

A numerical study for estimating the tidal open boundary conditions of a shelf current modrl from tb coastal tidal observations is presented. The method is based on the optimal control/adjoint method. A lrast square fitting of the model state to simulated data is used. Two ideal domains and coastlines are considered. Using the IAP shallow. water model and its adjoint model, some identical twin experiments are carried out to test efficiency and lirnilsd of the method. The results show that the adjoint method can efficiently estimate the open boundary conditions well for gulf/bay like domains. The adjoint method seems to have great potential to improve the accuracy of tide and shelf current modeling in coastal regions. Project supported hy the National Natural Science Fuundation of China (Grant No. 49376256)     

The biaxial compression mechanical properties of crushed rock

Crushed rock subgrade, as one of the roadbed-cooling methods, has been widely used in the Qinghai-Tibet Railway. Much attention has been paid on the cooling effect of crushed rock; however, the mechanical properties of crushed rock are somehow neglected. Based on the discrete element method, biaxial compression test condition for crushed rock is compiled in FISH language in PFC^2D, and the natural shape of crushed rock is simulated with super particle "cluster". The effect of particle size, crushed rock strength and confining pressure level on overall mechanical properties of the crushed rock aggregate are respectively analyzed. Results show that crushed rock of large particle size plays an essential framework role, which is mainly responsible for the deformation of crushed rock aggregate. The strength of gravel has a great influence on overall mechanical properties which means that strength attenuation caused by the freeze thaw cycles cannot be ignored. The stress-strain curves can be divided into two stages including shear contraction and shear expansion at different confining pressures.     

低纬和中高纬度火山爆发与我国旱涝的联系

根据５００年旱涝等级资料，采用时序迭加方法，分析了低纬和中高纬火山爆发对我国降水的影响。此外，还对１６００－１９７９年南方涛动指数的变化进行了类似的分析。结果表明，低纬和中高纬火山爆发发后全国旱涝分布型和部分地区降水变化趋势有很大差异。爆发当年华北就可能明显变旱，而次年长江流域才出现明显的降水异常。计算不明，１９９１年皮纳图博火山及去仙岳火山爆发与江淮特大洪涝有直接联系的可能性不大。     

青藏高原地表反照率计算研究

根据改进的甚高分辨率扫描辐射仪（ＡＶＨＲＲ）５个观测波段的光谱特征，经多次试验，设计了一组从卫星观测的地－气系统的辐射测值中提取晴空资料的多通道门槛值判识法和提取月平均反照率的合成法；并对１９９２年ＮＯＡＡ－１２卫星获取的ＡＶＨＲＲ资料进行计算处理，分析提取晴空数据，在此基础上按卫星轨道覆盖周期合成计算得到的晴空行星反照率和地表反照率，并且计算了逐月的地表反照率。对计算结果做了初步分析和认真比较。     

多普勒雷达资料在暴雨临近预报中的应用

以天气雷达体积扫描的资料为基础,采用交叉相关法建立了一种对暴雨的临近预报方法。该方法的基本思路是：将第一时刻取得的雷达回波图像,向任一方向移过一定的距离,然后计算此图像与第二时刻图像之间的交叉相关系数,直到找到极大值,利用该极大值所对应的位移来预报下一时刻降水的位置。并利用“973”中国暴雨试验获得的观测资料对该方法进行了验证,验证结果表明：交叉相关法对暴雨有一定的预报能力,预报雨带的移动方向与雷达实际观测的移动方向相吻合,但其预报能力随着预报时间的增加而减弱。     

江西贵溪盆地罗塘群沉积体系特征及其地质意义

早白垩世晚期江西贵溪盆地的控盆断裂活动加强,在盆地边缘的不同地带及盆地中心发育有不同的沉积体系,野外露头岩相特征和剖面的研究表明,贵溪盆地罗塘群主要发育有冲积扇体系、扇三角洲体系、辫状河三角洲体系、湖泊沉积体系及辫状河沉积体系,沉积体系特征主要受控于盆缘断裂活动,不同的沉积体系出现在盆地演化的不同阶段,并由不同的岩相组成.沉积体系的特征、分布及组合型式反映了陆相断陷红盆沉积相带窄、横向及纵向上相变快的特点.     

GIS中线元的误差熵带研究

基于现有的线元位置不确定性模型大多与置信水平的选取有关,而置信水平的选取带有一定程度的主观性,因而不能惟一确定。引入信息熵理论,提出了线元的误差熵带模型,并将它与"E-带"进行了比较,计算了落入其内的概率。该模型根据联合熵惟一确定,与置信水平的选取无关。     

Strength of Stacking Technique of Ensemble Learning in Rockburst Prediction with Imbalanced Data: Comparison of Eight Single and Ensemble Models

Rockburst is a common dynamic geological hazard, severely restricting the development and utilization of underground space and resources. As the depth of excavation and mining increases, rockburst tends to occur frequently. Hence, it is necessary to carry out a study on rockburst prediction. Due to the nonlinear relationship between rockburst and its influencing factors, artificial intelligence was introduced. However, the collected data were typically imbalanced. Single algorithms trained by such data have low recognition for minority classes. In order to handle the problem, this paper employed stacking technique of ensemble learning to establish rockburst prediction models. In total, 246 sets of data were collected. In the preprocessing stage, three data mining techniques including principal component analysis, local outlier factor and expectation maximization algorithm were used for dimension reduction, outlier detection and outlier substitution, respectively. Then, the pre-processed data were split into a training set (75%) and a test set (25%) with stratified sampling. Based on the four classical single intelligent algorithms, namely k-nearest neighbors (KNN), support vector machine (SVM), deep neural network (DNN) and recurrent neural network (RNN), four ensemble models (KNN–RNN, SVM–RNN, DNN–RNN and KNN–SVM–DNN–RNN) were built by stacking technique of ensemble learning. The prediction performance of eight models was evaluated, and the differences between single models and ensemble models were analyzed. Additionally, a sensitivity analysis was conducted, revealing the importance of input variables on the models. Finally, the impact of class imbalance on the prediction accuracy and fitting effect of models was quantitatively discussed. The results showed that stacking technique of ensemble learning provides a new and promising way for rockburst prediction, which exhibits unique advantages especially when using imbalanced data.