相律的应用:蒸发结晶过程自由度          下载免费PDF全文

房春晖  宋彭生 《盐湖研究》1993,(1)

在连续原理和浓度限制条件的基础上,分析了卤水蒸发过程的自由度,提出了“蒸发结晶过程自由度”这一概念。发现蒸发结晶过程自由度在整个过程中不是1便是0,在1和0之间交替变化,与选择的组分数和析出固相数目无关。蒸发结晶过程自由度为1,物理意义是在不引起新相产生旧相不消失的前提下过程连续地变化(水分的连续蒸失),几何意义是指在适当的坐标系中的一条线,一条直线或曲线;0的物理意义是指新相的产生和旧相的即将消失或者前一段的连续变化过渡到后一段的连续变化,几何意义是指一点,两蒸发阶段的交点或者过程的终点。简单地讨论了过程的单向性和连续件。  相似文献   

迎接寒武系全球年代地层的新划分——2004年版“国际地层表”述评   总被引：9，自引：4，他引：9  

彭善池 《地层学杂志》2005,29(2):171-177,204

评述了国际地层委员会最新公布的2 0 0 4年版“国际地层表”的寒武系部分,包括它的底界全球层型和点位的确定和存在的问题、寒武系当前的再划分情况、芙蓉统和排碧阶及其底界全球层型剖面和点位、寒武系的时代跨度。介绍了全球寒武系年代地层的研究方向和正在表决中的全球寒武系最新划分方案。讨论了与我国寒武系年代地层的划分和建立地方性、区域性年代地层系统的相关问题  相似文献   

CCSD在线流体监测捕获的气体地球化学异常与2004年9．3级苏门答腊地震可能的超远程关系   总被引：5，自引：0，他引：5  

曾令森许志琴  罗立强詹秀春梁凤华  杨经绥李海兵 《岩石学报》2005,21(2):521-524

中国大陆科学钻探工程在线流体地球化学监测在2004年12月10至2005年1月10日之间捕获到一段重要的气体地球化学异常。该异常从2004年12月24日晚上11点半开始到12月29日晚上7点半结束,其中在12月26日早上7点半到29日晚7点半这段异常非常特殊,表现出流体地球化学的剧烈变化。具体表现为流体组分从基本上不含Ar、He及N2跳跃到富含Ar、但亏损He和N2。该异常发生在2004年9.3级苏门答腊地震前1个半小时。由于CCSD现场离苏门答腊地震震中距离大于4170公里,大于该地震破裂长度1200公理的3倍,该地震在CCSD现场产生的静态应力变化微乎其微,不足以导致CCSD现场深部岩石或封闭破裂的岩石物理性质剧烈变化,因而可以排除静态激发效应的作用。在我国的云南和广东等地所观测到的地震异常和地下水位变化等表明2004年苏门答腊地震的动态激发效应主要沿东北方向,这和大地震的动态激发具有方向性一致。而CCSD现场就位于该方向上。我们推测2004年苏门答腊地震所产生的面波在CCSD现场激发的动态效应,导致库仑型失稳,增进深部岩石或破裂带的渗透率,释放富含Ar但亏损He和N2的流体,产生CCSD所观测到的气体异常。  相似文献   

可可西里——东昆仑活动构造带强震活动研究   总被引：13，自引：0，他引：13  

张国民  田勤俭  王辉 《地学前缘》2003,10(1):39-46

青海昆仑山口西 8.1级地震发生在具有新生性特征的可可西里—东昆仑活动断裂带上。该断裂带在 190 0年以来的 10 0多年中经历了一个强震活动过程。在该强震活动过程中 ,地震沿整个可可西里—东昆仑活动构造带分段破裂 ,强震的破裂长度和震级之间大致满足对数线性的统计关系 ,强震活动呈现指数型时间分布的加速特征。这种强震加速活动特征可以用含多个震源体的孕震系统的强震成组活动模型给予解释。  相似文献   

辽宁义县—北票地区义县组地层层序——义县阶标准地层剖面建立和研究之一   总被引：30，自引：1，他引：30  

王五力  张宏  张立君  郑少林  杨芳林  李之彤  郑月娟 《地层学杂志》2003,27(3):227-232

义县地区广义的义县组可解体为王家屯组 (暂命名 )和义县组 ;分属王家屯和义县火山旋回 ,前者为偏酸、偏碱性 ,后者主体为中基性、末期为中酸性火山岩系 ,并广泛发育潜火山岩相的玄武玢岩、安山玢岩和火山集块角砾熔岩筒。该区有七个主要沉积层 ,自下而上分别为王家屯组马神庙层、义县组老公沟层、业南沟层、砖城子层、大康堡层、朱家沟层和金刚山层 ;产有较丰富的无脊椎动物、脊椎动物和植物化石。以砖城子层、大康堡层和金刚山层为界 ,义县火山旋回可划分为 4个亚旋回 ,分别代表火山活动的初始期、主期、晚期和末期。北票四合屯地区的义县组相当义县地区义县组的第一和第二亚旋回 ,含鸟类化石的主沉积层 (尖山沟层和上园层 )可与砖城子层对比  相似文献   

Geochemical Information Indicating the Water Recharge to Lakes and Immovable Megadunes in the Badain Jaran Desert   总被引：1，自引：0，他引：1  

CHEN Jiansheng  ZHAO Xi  SHENG Xuefeng  Wang Jiyang  GU Weizu  and CHEN Liang State Key Laboratory of Hydrology-Water Resources  Hydraulic Engineering  Hohai University  Nanjing  Jiangsu  E-mail: jschen@hhu.edu.cn Institute of Isotope Hydrology Research  Hohai University  Nanjing  Jiangsu Institute of Geology  Geophysics  Chinese Academy of Sciences  Beijing 《《地质学报》英文版》2005,79(4):540-546

1 Introduction The Badain Jaran Desert, located in western Inner Mongolia, China, has a unique landscape containing 144 lakes (72 of which are still watery) with a total water area of about 23 km2, and the world’s highest stationary sand dunes with a height between 200 m and 500 m. Much attention has been paid to the water recharge of the desert in the past decade. Investigations on the resources of water system there have been performed continuously since the early 1990s, which lead to th…  相似文献   

An Automatic Method for Detecting Transients and Variable Sources in AST3 Survey Based on Image Subtraction and Random Forest     

《Chinese Astronomy and Astrophysics》2020,44(1):41-60

AST3-2 (the second Antarctic Survey Telescope) is located in Antarctic Dome A, the loftiest ice dome on the Antarctic Plateau. It produces a huge amount of observational data which require a more efficient data reduction program to be developed. Also the data transmission in Antarctica is much difficult, thus it is necessary to perform data reduction and detect variable and transient sources remotely and automatically in Antarctica, but this attempt is restricted by the unsatisfactory performance of the low power consumption computer in Antarctica. For realizing this purpose, to develop a new method based on the existing image subtraction method and random forest algorithm, taking the AST3-2 2016 dataset as the test sample, becomes an alternative choice. This method performs image subtraction on the dataset, then applies the principle component analysis to extract the features of residual images. Random forest is used as a machine learning classifier, and in the test a recall rate of 97% is resulted for the positive sample. Our work has verified the feasibility and accuracy of this method, and finally found out a batch of candidates for variable stars in the AST3-2 2016 dataset.  相似文献   

Research on Parallel Algorithms for uv-faceting Imaging     

《Chinese Astronomy and Astrophysics》2019,43(3):424-443

The uv-faceting imaging is one of the widely used large field of view imaging technologies, and will be adopted for the data processing of the low-frequency array in the first stage of the Square Kilometre Array (SKA1). Due to the scale of the raw data of SKA1 is unprecedentedly large, the efficiency of data processing directly using the original uv-faceting imaging will be very low. Therefore, a uv-faceting imaging algorithm based on the MPI (Message Passing Interface)+OpenMP (Open Multi-Processing) and a uv-faceting imaging algorithm based on the MPI+CUDA (Compute Unified Device Architecture) are proposed. The most time-consuming data reading and gridding in the algorithm are optimized in parallel. The verification results show that the results of the proposed two algorithms are basically consistent with that obtained by the current mainstream data processing software CASA (Common Astronomy Software Applications), which indicates that the proposed two algorithms are basically correct. Further analysis of the accuracy and total running time shows that the MPI+CUDA method is better than the MPI+OpenMP method in both the correctness rate and running speed. The performance test results show that the proposed algorithms are effective and have certain extensibility.  相似文献   

Study of Star/Galaxy Classification Based on the XGBoost Algorithm     

《Chinese Astronomy and Astrophysics》2019,43(4):539-548

Machine learning has achieved great success in many areas today. The lifting algorithm has a strong ability to adapt to various scenarios with a high accuracy, and has played a great role in many fields. But in astronomy, the application of lifting algorithms is still rare. In response to the low classification accuracy of the dark star/galaxy source set in the Sloan Digital Sky Survey (SDSS), a new research result of machine learning, eXtreme Gradient Boosting (XGBoost), has been introduced. The complete photometric data set is obtained from the SDSS-DR7, and divided into a bright source set and a dark source set according to the star magnitude. Firstly, the ten-fold cross-validation method is used for the bright source set and the dark source set respectively, and the XGBoost algorithm is used to establish the star/galaxy classification model. Then, the grid search and other methods are used to adjust the XGBoost parameters. Finally, based on the galaxy classification accuracy and other indicators, the classification results are analyzed, by comparing with the models of function tree (FT), Adaptive boosting (Adaboost), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Stacked Denoising AutoEncoders (SDAE), and Deep Belief Nets (DBN). The experimental results show that, the XGBoost improves the classification accuracy of galaxies in the dark source classification by nearly 10% as compared to the function tree algorithm, and improves the classification accuracy of sources with the darkest magnitudes in the dark source set by nearly 5% as compared to the function tree algorithm. Compared with other traditional machine learning algorithms and deep neural networks, the XGBoost also has different degrees of improvement.  相似文献   

Word2003文档中插入AutoCAD2004图形的三种方法     

李军 《地理空间信息》2009,7(5):155-156

对于测绘技术人员来说,需要编写设计书、技术总结、监测方案等测绘类文档。利用Word2003自带的绘图工具,远远不能满足要求。介绍了“利用复制＋粘贴工具”、“转换图像格式”、“使用插入对象”三种方式在Word2003文档中插入AutoCAD2004图形的三种方法,  相似文献