间接DGM(1,1)模型在基坑沉降预测中的应用

选取某一基坑沉降监测点,该点11个周期的累计沉降量为近似非齐次指数增长序列,以Java为工具对该点进行编程计算,得到GM(1,1)、DGM(1,1)、间接DGM(1,1)3种模型的基坑沉降预测结果。对比分析发现,间接DGM(1,1)模型精度高于GM(1,1)和DGM(1,1)模型,其C值仅为0.01,且残差值增加缓慢,近似于一条水平线,实测值与预测值非常接近,适用范围广,弥补了另两种模型不能进行长期预测的缺憾。     

新疆卡鲁安硬岩型锂矿床成矿流体性质：来自He—Ar同位素证据

卡鲁安锂矿床位于新疆北部的阿尔泰造山带,是以锂辉石为主要矿石矿物的硬岩型锂矿床。前人对该矿床的岩石成因、成矿机制及构造背景已经有了初步的认识,但对该矿区内成矿流体的研究仍是空白,这将在一定程度上影响对矿床成因的认识。本文通过分析卡鲁安伟晶岩中锂辉石和石英流体包裹体He、Ar同位素组成,对成矿流体进行示踪研究。研究表明,含矿伟晶岩的n(3He) /n(4He) 为0. 25~3.19 Ra（平均0.97 Ra）,无矿伟晶岩与外围伟晶岩n(3He) /n(4He) 为0.13~5.32 Ra（平均1.13 Ra）,均介于壳源与幔源He之间。根据成矿流体的壳幔二元混合模式进行计算：含矿伟晶岩中的地幔流体比例为3.55% ~ 48.92%,平均值为14.67%;无矿伟晶岩与外围伟晶岩地幔流体占比为1.70% ~ 81.79%,平均值为17.13%。含矿伟晶岩成矿流体的n(40Ar) /n(36Ar)为552.50~13353. 00,n(40Ar*)相对含量为46.52% ~ 97.79%,平均值为87.25%,大气的Ar贡献平均为12.75%。分析结果显示,成矿流体主要以壳源流体为主,部分幔源流体和改造型饱和大气水的混合流体,随着成矿作用的进行,地幔He与大气饱和水改造Ar皆有所减少。值得注意的是卡鲁安锂矿床成矿流体中幔源物质并非真的来自于地幔物质上侵,更有可能是来源于元古代的不成熟陆壳熔融。新疆卡鲁安锂矿床形成于陆—陆碰撞造山作用晚期的后碰撞造山阶段,造山后期的伸展导致含幔源物质的古老地壳与年轻地壳减压熔融,熔融所形成的岩浆流体随后经大气降水改造为成矿流体。     

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

In recent years,landslide susceptibility mapping has substantially improved with advances in machine learning.However,there are still challenges remain in landslide mapping due to the availability of limited inventory data.In this paper,a novel method that improves the performance of machine learning techniques is presented.The proposed method creates synthetic inventory data using Generative Adversarial Networks(GANs)for improving the prediction of landslides.In this research,landslide inventory data of 156 landslide locations were identified in Cameron Highlands,Malaysia,taken from previous projects the authors worked on.Elevation,slope,aspect,plan curvature,profile curvature,total curvature,lithology,land use and land cover(LULC),distance to the road,distance to the river,stream power index(SPI),sediment transport index(STI),terrain roughness index(TRI),topographic wetness index(TWI)and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron Highlands.To show the capability of GANs in improving landslide prediction models,this study tests the proposed GAN model with benchmark models namely Artificial Neural Network(ANN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF)and Bagging ensemble models with ANN and SVM models.These models were validated using the area under the receiver operating characteristic curve(AUROC).The DT,RF,SVM,ANN and Bagging ensemble could achieve the AUROC values of(0.90,0.94,0.86,0.69 and 0.82)for the training;and the AUROC of(0.76,0.81,0.85,0.72 and 0.75)for the test,subsequently.When using additional samples,the same models achieved the AUROC values of(0.92,0.94,0.88,0.75 and 0.84)for the training and(0.78,0.82,0.82,0.78 and 0.80)for the test,respectively.Using the additional samples improved the test accuracy of all the models except SVM.As a result,in data-scarce environments,this research showed that utilizing GANs to generate supplementary samples is promising because it can improve the predictive capability of common landslide prediction models.     

Lead contamination of small cetaceans in European waters--the use of stable isotopes for identifying the sources of lead exposure

Lead concentrations and isotopic composition have been measured in bone and teeth of small cetaceans belonging to three species (Delphinus delphis, Phocoena phocoena and Stenella coeruleoalba), to evaluate the toxicological risk and to determine sources of lead in the European waters. Lead concentrations, far lower than threshold value inducing toxic effects in human, were higher in teeth than in bones, but highly correlated between the two tissues (r=0.92, p<0.001). Large variations of 206Pb/207Pb values in bone tissue showed that cetaceans must be submitted to various atmospheric influences. No geographical differences appeared which is consistent with studies on their distribution indicating seasonal movements between Brittany waters and the Bay of Biscay. The negative correlation between 206Pb/207Pb ratios and age of the individuals reflected the decrease in the production of alkyl lead in Europe, i.e., the increasing use of unleaded gasoline.     

磁尾爆发性整体流与亚暴的关系

利用星簇Cluster的三颗卫星(C1, C3和C4)在2001年和2002年的数据,研究磁尾爆发性整体流（BBF, Bursty Bulk Flow）事件及其与亚暴的关系. 三颗卫星可以同时观测到同一次BBF事件, 有时只有一颗或两颗观测到BBF,其原因有:（1）等离子体整体流的速度峰值满足BBF选取原则中的峰值要求, 但卫星的运行轨道不满足;（2）卫星处于所要求的区域内,等离子体整体流的速度峰值不满足;（3）中性片的复杂结构及其运动使得选取条件不能同时满足;（4）BBF空间分布高度局域化. 统计研究结果表明：单颗卫星观测存在局限性, C1、C3和C4卫星独立观测到BBF的持续总时间分别占它们联合观测到的5507%、7748%和5552%; 大部分亚暴爆发期间都能观测到BBF, 甚至在一次亚暴爆发期间观测到多次BBF; 少数亚暴爆发期间没有观测到BBF.     

Mechanical compression release device in steel bracing system for retrofitting RC frames

1 Introduction Braced steel frames are commonly used to resist seismic loads. Their seismic behavior was extensively studied during the past decades (Bertero et al.., 1989; Roeder, 1989; Jain, 1978). Their design is governed by the buckling behavior of the bracing members (ASCE, 1994,2002; CSA, 1994). To prevent or delay the seismic buckling of compressive members in concentrically braced frames in steel structures, a great number of methods have been proposed. These include the use of sp…     

The Gaojiacun Mafic-Ultramafic Complex （Sichuan, SW China）：Neoproterozoic Magmatic Activity at the Western Margin of the Yangtze Craton

1 Introduction The Gaojiacun intrusive complex is one of the numerous ultramafic-mafic intrusions in Sichuan Province of China. It was mapped during the 1970s and studied mainly by Chinese scientists (e.g. Geological Team 106, 1975; Shen et al., 1986, 1989; CGGJC, 1986; Yang et al., 1993; Li et al., 1995; Shen et al., 2003; Zhu et al., 2004a). Since the year 2000, China has become one of the largest PGE consumers. While the country can produce only less than 1 ton PGE/year, the Chin…     

古尔班通古特沙漠地表辐射收支特征

古尔班通古特沙漠是中国最大的固定、半固定沙漠.利用2017年该沙漠克拉美丽站辐射资料,分析了古尔班通古特沙漠不同时间尺度和不同天气条件下的地表辐射变化特征.结果表明:(1)不同月份沙漠辐射收支各分量月平均日变化均呈单峰型,但极值大小及出现时间存在差异.各分量曝辐量季节变化明显:太阳总辐射表现为生长期(4-9月)＞积雪期...     

布莱克海岭区天然气水合物的评价

布莱克海岭位于美国东南加利福尼亚近海区,该区天然气水合物矿藏可用的开采方案有3种。这些方案为深水环境中天然气水合物矿藏的开采提供了可能的途径。1布莱克海岭区的天然气水合物过去20年中,在布莱克海岭区收集了大量的天然气水合物资料,包括地震勘探资料和11口井的钻井资料