Evolution of the freeze-thaw cycles in the source region of the Yellow River under the influence of climate change and its hydrological effects

As an important water source and ecological barrier in the Yellow River Basin, the source region of the Yellow River (above the Huangheyan Hydrologic Station) presents a remarkable permafrost degradation trend due to climate change. Therefore, scientific understanding the effects of permafrost degradation on runoff variations is of great significance for the water resource and ecological protection in the Yellow River Basin. In this paper, we studied the mechanism and extent of the effect of degrading permafrost on surface flow in the source region of the Yellow River based on the monitoring data of temperature and moisture content of permafrost in 2013–2019 and the runoff data in 1960–2019. The following results have been found. From 2013 to 2019, the geotemperature of the monitoring sections at depths of 0–2.4 m increased by 0.16°C/a on average. With an increase in the thawing depth of the permafrost, the underground water storage space also increased, and the depth of water level above the frozen layer at the monitoring points decreased from above 1.2 m to 1.2–2 m. 64.7% of the average multiyear groundwater was recharged by runoff, in which meltwater from the permafrost accounted for 10.3%. Compared to 1960-1965, the runoff depth in the surface thawing period (from May to October) and the freezing period (from November to April) decreased by 1.5 mm and 1.2 mm, respectively during 1992–1997, accounting for 4.2% and 3.4% of the average annual runoff depth, respectively. Most specifically, the decrease in the runoff depth was primarily reflected in the decreased runoff from August to December. The permafrost degradation affects the runoff within a year by changing the runoff generation, concentration characteristics and the melt water quantity from permafrost, decreasing the runoff at the later stage of the permafrost thawing. However, the permafrost degradation has limited impacts on annual runoff and does not dominate the runoff changes in the source region of the Yellow River in the longterm.     

用卡尔曼滤波预报南海热带气旋路径的试验

利用卡尔曼滤波方法预报南海热带气旋路径，发现采用卡尔曼滤波可以大大地降低预报误差，提高预测模型的预报能力。     

贵州二叠纪与南华纪锰矿主要矿床地质特征对比及意义

贵州南华纪古天然气渗漏沉积型锰矿通过成矿理论和找矿预测方法的创新,近年来不断取得巨大的找矿成果,在国内外产生重要影响,已成为国内最重要的锰矿床类型。本文通过对贵州二叠纪锰矿与南华纪锰矿矿床地质特征的对比研究发现:二者在成矿构造背景、同沉积断层(控矿构造)、成矿物质来源、矿石与地球化学特征、锰矿成矿系统特征等方面十分相似,在结构构造特征、沥青球特征、盖帽白云岩和冷泉碳酸盐岩等方面也存在一些差别。在此基础上,贵州二叠纪锰矿通过借鉴和运用贵州南华纪古天然气渗漏沉积成矿理论和找矿预测方法,已在遵义锰矿国家整装勘查区取得重大进展。说明"内生外成"的古天然气渗漏沉积型锰矿成矿理论和找矿预测方法,在相似的成矿地质背景条件下,具有普适性和推广意义。     

石家庄铁四局北国-开元广场岩土工程勘察实录

通过石家庄铁四局北国-开元广场工程勘察实例介绍,总结出一套成功进行岩土工程分析的有效办法和技术途径,分析结果通过实测验证,可供同行们参考。     

Forecasting the western Pacific subtropical high index during typhoon activity using a hybrid deep learning model

Seasonal location and intensity changes in the western Pacific subtropical high(WPSH) are important factors dominating the synoptic weather and the distribution and magnitude of precipitation in the rain belt over East Asia. Therefore, this article delves into the forecast of the western Pacific subtropical high index during typhoon activity by adopting a hybrid deep learning model. Firstly, the predictors, which are the inputs of the model, are analysed based on three characteristics: the first...     

线路圆曲线的解算方法探讨

探讨一种数值求解圆曲线基本元素的通用方法。采用这一方法能以给定的任意两个基本元素,解算出圆曲线半径和两切线方向间的偏角。该方法计算简便、快捷,有较大的实用价值。     

河北省丰宁县茶棚银矿地质、地球物理特征及找矿意义

茶棚银矿位于河北省北部坝上草原向山区过渡地带,风成砂覆盖严重,示矿标志不明显,地表找矿难度大;地表矿体断续出露,而深部银矿体主要以隐伏矿体的形式赋存于近南北向展布的构造破碎带中,数量明显增多、品位变富、厚度变大;在这种特殊的景观地质特征下,利用激电中梯扫面,可发现厚覆盖状态下构造矿化蚀变带,利用EH4连续导电率测量可厘定矿化蚀变带的规模、产状并可提供隐爆角砾岩体等深部控矿地质信息,利用可控源音频大地电磁测深的中低阻陡变带和中阻带,特别是陡变带中的转折部位（形态呈耳状部位）可具体定位银矿体的赋存空间。     

Origin of a large breccia-vein system in the Sanerlin uranium deposit, southern China: a reinterpretation

The early Tertiary Sanerlin uranium deposit is located near the southwestern margin of the Chaling-Yongxing pull-apart basin defined by the Chaling-Yongxing and Chenxian-Linwu sinistral strike-slip faults in southern China. The uranium ores are hosted in 15 breccia-vein bodies, which are separately located in the cores of three secondary anticlines of the Upper Permian Dangchong Formation. Individual breccia-vein bodies are composed of fragments of silicified shale and sandstone from the Dangchong Formation, and quartz veinlets as cements. These fragments, together with quartz veins, form a mosaic texture. Hydrothermal pitchblende is the only commercial uranium mineral, mainly occurring as disseminated grains within quartz veins or coating fragments. Other metallic minerals include molybdenite, pyrite, chalcopyrite, galena, sphalerite, and red microcrystalline hematite. Fluid inclusions in quartz veins have homogenization temperatures ranging from 150 to 280 °C, and calculated salinity values between 5.6 and 13.4 wt% NaCl equivalent. Stable isotope analyses show that the mineralizing fluid was characterized by '¹⁸O values of -2.2 to +2.6‰ and 'D_H2O values of -134 to -110‰. These analytical data demonstrate that hydrothermal fluids were mainly derived from formation waters (brines) of the Chaling-Yongxing basin. Fluid overpressuring was caused by an abnormal geothermal gradient and impermeable shales in the deposit area. The geometry, texture, and structure of the breccia-vein system, along with the fluid pressure estimates, suggest that hydraulic fracturing generated the mineralized breccia-vein system. Pitchblende and associated minerals were deposited when gaseous phases were released abruptly from the ore fluids due to the hydraulic fracturing.     

渤海湾盆地A油田新近系明下段沉积特征及演化模式

渤海湾盆地A油田新近系明下段Ⅱ—Ⅴ油组是其主力含油层位。通过观察分析岩心资料的沉积构造特征、岩矿特征和粒度特征、测井形态、地球物理属性等特征,综合判定其主要发育曲流河和浅水三角洲两种沉积相类型,油田范围内曲流河主要发育河道、决口扇、天然堤和泛滥平原4种沉积微相,浅水三角洲主要发育水下分支河道、水下天然堤、河口坝和分流间湾4种沉积微相。通过分析沉积相特征,结合高分辨率层序地层学观点,对A油田明下Ⅱ—Ⅴ油组的垂向演化特征进行了探讨,结果表明:处于长周期上升半旋回的Ⅴ油组曲流河呈条带状分布;处于长周期下降半旋回初期的Ⅳ油组浅水三角洲平面呈坨状,内部砂体连通性差;处于长周期下降半旋回中期的Ⅲ油组浅水三角洲平面呈朵叶状,砂体以侧向叠置为主;处于长周期下降半旋回晚期的Ⅱ油组浅水三角洲平面呈鸟足状,砂体以垂向叠置为主。最终提出该油田沉积演化模式。     

Intraseasonal oscillation of the southwest monsoon over Sri Lanka and evaluation of its subseasonal forecast skill

斯里兰卡的雨季发生于5-9月间,主要受西南季风的控制.本文发现该地区的西南季风降水存在很强的次季节变率,主导周期为10-35天.降水的季节内变化与西传的异常气旋有关.进一步,利用S2S比较计划中欧洲中心的数值预报模式(ECMWF)提供的回报试验数据,评估了当今动力模式对斯里兰卡西南季风次季节变化的预报技巧.结果显示,对季风指数的预测技巧超过30天,而对降水指数的预测技巧大约两周,且模式的预报技巧具有明显的年际差异.分析表明,能否正确模拟出大尺度环流对热带对流的响应是影响斯里兰卡降水预测的重要因子.