流动VLBI站氢原子钟的研制与性能测试

氢脉泽是射电天文所必需的频率标准.文中对为流动vLBI站研制的新一代氢脉泽的物理结构特点进行了讨论，包括对腔泡结构、磁屏蔽、原子束光学系统等.同时性能测试表明在80秒到1天之间频率稳定度优于1×10     

基于GIS矿产勘查靶区优选技术

靶区优选是矿产勘查中的一个关键环节, 它既是矿产资源预测成果的直接体现形式, 同时又是联系矿产资源预测与勘查工作部署的桥梁.然而, 由于人们认识上的不完备性和缺乏相应的技术手段支撑, 使得靶区优选常被忽视或简化.探讨了靶区优选的地质基础原则, 建立了靶区优选的技术流程, 研发了基于GIS支持下靶区优选计算机辅助决策模块, 并以云南省个旧地区与岩浆活动有关的锡铜多金属矿靶区为例进行了示范研究.结果表明靶区优选技术及相应的软件能够客观地反映不同靶区的特征, 提高靶区优选的智能化程度和工作效率.      

自嵌式景观加筋挡土墙的特点及工程应用

自嵌式景观挡土墙具有施工工艺简单、稳定性好、造价低、美观、环保等特点。针对自嵌式景观挡土墙施工中的关键技术问题进行探讨,提出了相应的技术措施。     

黔北下寒武统黑色岩系古地温及其指示意义

采用显微光度计测定黔北下寒武统牛蹄塘组黑色岩系固体沥青反射率平均为5.89%,按相关经验公式折算出来的镜质体反射率平均为4.123%,在迈维尔图解、Karwell图解、Hood图解上投点,结合干酪根和孢粉颜色指数法,推断黑色岩系的古地温为60～250℃。结合黄铁矿热电系数法和包裹体均一法测温值,认为黑色岩系属中、低温沉积成岩成矿作用,以低温沉积成岩成矿作用为主。热的来源为海底火山喷溢,含矿热卤水提供了丰富的有用元素。黑色岩系有机碳含量高,属好烃源岩,有机质成熟度高,热演化程度高,属过成熟。黑色岩系古地温的研究,对阐明黑色岩系的沉积、成岩和成矿条件具有重要意义。     

铵伊利石矿物热稳定性研究

通过室内对含铵伊利石粘土岩样品加热处理,利用DTA、XRD、FTIR、氮元素分析等方法研究了铵伊利石的热稳定性,发现铵伊利石矿物中的氮含量随温度的升高而逐渐降低.铵伊利石矿物晶格结构在500℃之前,具有稳定性,层间的N表现为缓慢释放的特征.在500～600℃温度区间,层间N的释放速率加剧.600℃开始向半晶质化方向发展,700 ℃以上晶格结构破坏,层间NH4+消失.加热到700～800℃高温相中,仍残留有0.3%～0.5%的氮,这表明矿物中的N在高温下通过与Si、Al和O原子化学结合,仍具有比较高的相对稳定性.本研究对于认识地球系统幔源物质演化、运移、分异、脱气作用和氮循环等具有重要理论意义.     

2017年南丹Ms4.0地震前后重力变化

利用广西及邻区2014~2017年流动重力观测资料,系统分析区域重力场变化及其与2017-07-15广西南丹MS4.0地震的关系,并结合GPS观测数据与地震地质调查成果,探讨区域重力场变化的时空分布特征及机理。结果表明：1）南丹M_S4.0地震前后,震区附近重力异常变化与主干断裂关系密切,反映沿控震断裂在2014~2017年间发生了引起地表重力变化效应的地壳变形和构造活动;2）差分重力图像表明,南丹M_S4.0地震前重力变化为“局部重力异常→四象限重力异常→重力反向变化发震”的过程;3）重力变化与GPS 观测反映的水平运动表明,南丹M_S4.0地震位于重力四象限分布中心部位及面压缩峰值附近,证明重力场和形变场动态变化对中强地震地点预测具有指示意义;4）天峨-南丹-环江一带是重力变化最剧烈地区,亦是水平形变面压缩过渡带,同时位于莫霍面等深线强烈变化地段、M_L3.0地震围空区、沿主断裂存在的低b值异常区。结合地震活动图像、定点前兆观测异常综合分析认为,该地区仍存在发生中强地震的可能。     

基于水化学特征的“奥灰”地热流体水文地球化学演化机制研究——以济南东部章宁1地热井为例

以章宁1地热井的研究为例,在分析地热水水文地球化学特征基础上,对地热水的化学成分形成进行了研究,并通过与相对补给径流区的西曹范、章桃1地下水水化学特征的比较,研究其演化机理。综合分析认为地热水为沉积岩溶滤水,属于中度变质水,地下水流经火成岩侵入体时溶解了大量的Cl~-及F~-,HSiO~-_3等微量元素,次为地下水与沿文祖断裂上升的深部热液的混合,导致地热水化学类型的改变。深部热液的水化学成分与济南东地热水与深部热液的混合比例有待进一步研究。     

Mechanism of toppling and deformation in hard rock slope: a case of bank slope of Hydropower Station,Qinghai Province,China

Recently, various toppling slopes have emerged with the development of hydropower projects in the western mountainous regions of China. The slope on the right bank of the Laxiwa Hydropower Station, located on the mainstream of the Yellow River in the Qinghai Province of Northwest China, is a typical hard rock slope. Further, its deformation characteristics are different from those of common natural hard rock toppling. Because this slope is located close to the dam of the hydropower station, its deformation mechanism has a practical significance. Based on detailed geological engineering surveys, four stages of deformation have been identified using discrete element numerical software and geological engineering analysis methods, including toppling creep, initial toppling deformation, intensified toppling deformation, and current slope formation. The spatial and time-related deformation of this site also exhibited four stages, including initial toppling, toppling development, intensification of toppling, and disintegration and collapse. Subsequently, the mechanism of toppling and deformation of the bank slope were studied. The results of this study exhibit important reference value for developing the prevention–control design of toppling and for ensuring operational safety in the hydropower reservoir area.     

基于卷积神经网络与条件随机场方法提取乡镇非正规固体废弃物

随着村镇经济建设发展,生活垃圾和工业固体废弃物造成的污染问题日益突出,已经成为制约新农村建设发展和生态文明建设的关键问题,而目前针对乡镇非正规固体废弃物的调查与统计主要依赖全国各乡镇相关部门逐级调查上报,工作量较大。本文基于高分辨率遥感影像,将深度学习模型和条件随机场模型相结合引入到乡镇固体废弃物的提取研究中,探索一种基于深度卷积神经网络的乡镇固体废弃物提取模型。由于固体废弃物在影像上表现为面积小,分布破碎等特点,为了提高工作效率,将模型特分为识别和提取2个部分：① 通过全连接卷积网络（CNN）对固体废弃物进行快速识别判断,筛选感兴趣区域影像块;② 在传统的全卷积神经网络(FCN)的基础上加入条件随机场模型(CRF)提取固体废弃物边界,提高整体分割精度。根据安徽、山西等地区相关部门上报固体废弃物堆放点以及住房与城乡建设部城乡规划管理中心进行野外检查的结果,实验最终识别精度达到86.87%以上;形状提取精度为89.84%,Kappa系数为0.7851,识别与提取精度均优于传统分类方法。同时,该方法已经逐步应用于住房和城乡建设部有关成都、兰州、河北等部分乡镇非正规固体废弃物的核查工作,取得了较为满意的结果。     

Degradation induces changes in the soil C:N:P stoichiometry of alpine steppe on the Tibetan Plateau

Due to the Tibetan Plateau's unique high altitude and low temperature climate conditions,the region's alpine steppe ecosystem is highly fragile and is suffering from severe degradation under the stress of increasing population,overgrazing,and climate change.The soil stoichiometry,a crucial part of ecological stoichiometry,provides a fundamental approach for understanding ecosystem processes by examining the relative proportions and balance of the three elements.Understanding the impact of degradation on the soil stoichiometry is vital for conservation and management in the alpine steppe on the Tibetan Plateau.This study aims to examine the response of soil stoichiometry to degradation and explore the underlying biotic and abiotic mechanisms in the alpine steppe.We conducted a field survey in a sequent degraded alpine steppe with seven levels inNorthern Tibet.The plant species,aboveground biomass,and physical and chemical soil properties such as the moisture content,temperature,pH,compactness,total carbon(C),total nitrogen(N),and total phosphorus(P)were measured and recorded.The results showed that the contents of soil C/N,C/P,and N/P consistently decreased along intensifying degradation gradients.Using regression analysis and a structural equation model(SEM),we found that the C/N,C/P,and N/P ratios were positively affected by the soil compactness,soil moisture content and species richness of graminoids but negatively affected by soil pH and the proportion of aboveground biomass of forbs.The soil temperature had a negative effect on the C/N ratio but showed positive effect on the C/P and N/P ratios.The current study shows that degradation-induced changes in abiotic and biotic conditions such as soil warming and drying,which accelerated the soil organic carbon mineralization,as well as the increase in the proportion of forbs,whichwere difficult to decompose and input less organic carbon into soil,resulted in the decreases in soil C/N,C/P,and N/P contents to a great extent.Our results provide a sound basis for sustainable conservation and management of the alpine steppe.