A support vector machine classifier based on a new kernel function model for hyperspectral data

The kernel function is a key factor to determine the performance of a support vector machine (SVM) classifier. Choosing and constructing appropriate kernel function models has been a hot topic in SVM studies. But so far, its implementation can only rely on the experience and the specific sample characteristics without a unified pattern. Thus, this article explored the related theories and research findings of kernel functions, analyzed the classification characteristics of EO-1 Hyperion hyperspectral imagery, and combined a polynomial kernel function with a radial basis kernel function to form a new kernel function model (PRBF). Then, a hyperspectral remote sensing imagery classifier was constructed based on the PRBF model, and a genetic algorithm (GA) was used to optimize the SVM parameters. On the basis of theoretical analysis, this article completed object classification experiments on the Hyperion hyperspectral imagery of experimental areas and verified the high classification accuracy of the model. The experimental results show that the effect of hyperspectral image classification based on this PRBF model is apparently better than the model established by a single global or local kernel function and thus can greatly improve the accuracy of object identification and classification. The highest overall classification accuracy and kappa coefficient reached 93.246% and 0.907, respectively, in all experiments.     

Approach to calculating spatial similarity degrees of the same river basin networks on multi-scale maps

Obtaining spatial similarity degrees among the same objects on multi-scale maps is of importance in map generalization. This paper firstly defines the concepts of ‘map scale change’ and ‘spatial similarity degree’; then it proposes a model for calculating the spatial similarity degree between a river basin network at one scale and its generalized version at another scale. After this, it validates the new model and gets 16 points in the model validation process. The x-coordinate and y-coordinate of each point are map scale change and spatial similarity degree, respectively. Last, a formula for calculating spatial similarity degree taking map scale change as the only variable is obtained by the curve fitting method. The formula along with the model can be used to automate the algorithms for simplifying river basin networks.     

Laboratory Estimation of Rock Joint Stiffness and Frictional Parameters

Numerical modeling of complex rock engineering problems involves the use of various input parameters which control usefulness of the output results. Hence, it is of utmost importance to select the right range of input physical and mechanical parameters based on laboratory or field estimation, and engineering judgment. Joint normal and shear stiffnesses are two popular input parameters to describe discontinuities in rock, which do not have specific guidelines for their estimation in literature. This study attempts to provide simple methods to estimate joint normal and shear stiffnesses in the laboratory using the uniaxial compression and small-scale direct shear tests. Samples have been prepared using rocks procured from different depths, geographical locations and formations. The study uses a mixture of relatively smooth natural joints and saw-cut joints in the various rock samples tested. The results indicate acceptable levels of uncertainty in the calculation of the stiffness parameters and provide a database of good first estimates and empirical relations which can be used for calculating values for joint stiffnesses when laboratory estimation is not possible. Joint basic friction angles have also been estimated as by-products in the small scale direct shear tests.     

天津市地热资源开发利用特征及存在问题分析

天津地区的地热地质条件良好,蕴藏着丰富的地热资源。在地热资源的开发利用过程中,每年可产生可观的经济、社会和环境效益,但由于开发方式的不尽合理,带来诸多问题。文章阐述了天津开发利用地热资源的特征,分析了存在的问题。认为不同热储层间水力联系的存在和地热井间距的过小,造成开采层间相互影响较大;地热井布局不合理、开采层位相对集中、回灌程度不高导致局部热储层压力大幅度下降,持续的大幅度压力下降将引发吊泵和地面沉降;超标准排放地热尾水会造成资源浪费和热污染;采、灌井间距的过小和相对位置的不合理,存在冷突破风险。针对不同问题,给出了针对性解决问题的建议。     

南水北调中线突发水污染事件的快速预测

依据南水北调中线干渠资料,开展了正常输水情况下串联明渠内可溶污染物浓度分布规律数值模拟研究。采用数值模拟、数学归纳和统计分析方法,提出表征污染物输移扩散特征的峰值输移距离、污染带长度和峰值浓度的快速预测公式;通过示范工程验证了快速预测公式的可行性。结果表明:①串联明渠内,峰值输移距离随渠道流速减小而减小,并且污染带长度增加值随明渠内流速减小而减小,但是峰值浓度随明渠流速减小而增加;②快速预测公式计算结果与现场试验实测结果的误差均不到15%,证明了快速预测公式的合理性和可行性。这些研究结果为南水北调中线工程突发可溶性水污染事件应急预警方案的制定提供了科学依据。     

同步辐射软X射线吸收谱与发射谱测定天然针铁矿能带结构

天然半导体矿物由于成分、缺陷复杂,传统测试方法如紫外可见漫反射等难以准确测定其禁带宽度.本文以针铁矿为例,通过第一性原理计算得到纯针铁矿及掺Al针铁矿的电子结构.计算结果显示,纯针铁矿导带底与价带顶均由Fe3d与O2p轨道组成,而当含杂质Al时,Al2p与O2p发生杂化参与了价带组成.在此基础上,利用同步辐射X射线氧的K边吸收谱与发射谱对纯针铁矿及天然针铁矿的能带结构进行了测定.结果表明,天然含Al的针铁矿禁带宽度为2.30eV,小于纯针铁矿(2.57eV).本研究提供了一种测定天然氧化物矿物禁带宽度的新方法,为深入研究天然半导体可见光催化活性产生机制提供了理论依据.     

辽东宽甸东北沟钼矿二长花岗岩年代学、地球化学及Hf同位素特征

东北沟钼矿是辽宁宽甸地区近些年发现的大型隐爆角砾岩型钼矿床。文章首次对东北沟钼矿床赋矿围岩二长花岗岩进行LA-MC-ICP-MS锆石U-Pb定年,主量元素、微量元素和Hf同位素地球化学研究,锆石U-Pb定年结果表明,二长花岗岩形成年龄为(129.4±0.3)Ma(MSWD=0.83),为燕山期构造岩浆活动产物。地球化学成分上,岩石具有富硅(SiO_2=62.21%~83.21%)、高钾(K_2O/Na_2O=3.35~20.27)和富碱(K_2O+Na_2O=5.82%~12.23%)的特点,属于钾玄岩系列。岩石富集轻稀土元素(LREE/HREE=10.26~24.21),亏损重稀土元素,具有弱负铕异常(δEu=0.63~1.07),富集大离子亲石元素(如K、Rb、Pb)和不相容元素(如Th、U)的特征,相对亏损高场强元素(如Nb、Ta、P、Ti)。锆石Hf同位素分析结果表明,东北沟钼矿二长花岗岩的ε_(Hf)(t)值为介于-12.4~-8.5,二阶段模式年龄(t_(DM2))介于442~1610 Ma,反映岩浆源区可能来源于中元古界古老地壳的再熔融。结合区域构造演化,成岩成矿构造背景为早白垩世古太平洋板块向欧亚之下俯冲,岩石圈减薄的构造环境。     

扎龙湿地藻类植物群落结构特征及水质初步评价

扎龙湿地是我国北方同纬度地区保留最完整、最原始、最开阔的湿地生态系统,地处中温带,属大陆性季风气候。为了探究其藻类植物群落的变化特征及其与水环境的关系,本文于2011年春、夏、秋季对扎龙湿地的藻类植物群落进行调查分析,共发现藻类植物349个分类单位(包括变种、变型),隶属于8门105属,藻类植物群落全年均以绿藻为主导,其组成呈绿藻-硅藻型。优势种中绿藻门主要以镰形纤维藻(Ankistrodesmus falcatus)和四尾栅藻(Scenedesmus quadricauda)为主,硅藻门以弯棒杆藻(Rhopalodia gibba)和隐头舟形藻(Navicula cryptocephala)为主,优势种组成具有明显的季节演替现象。藻类植物细胞密度呈现明显的单峰型,夏季最高,平均为10.74×10~4ind./L。湿地研究区域分为开阔型水域、小型封闭水域、湿地型水域和湖泊型水域四个生态类型,不同水域藻类植物群落结构特征明显不同。经聚类和多维尺度分析,将不同采样点的藻类植物群落分为四组,多样性指数表明湿地水体处于轻度污染或无污染状态。综合研究结果可以认为扎龙湿地的水体基本处于贫营养-中营养状态,只有极少数水域处于富营养状态。