Volume estimation and stage division of the Mahu landslide in Sichuan Province,China

The Mahu lake, the third deepest lake in China, is located on the west bank of the Jinsha River in Leibo county, Sichuan Province. It is a dammed lake created by an old landslide on the ancient Huanglang river, a tributary on the west bank of the Jinsha River. Previous studies (Wang and Lu in J Mt Res S1:44–47, 2000) suggested that this landslide was caused by an earthquake approximately 372 ka (Middle Pleistocene), during which a few hundreds of million cubic meters of debris were deposited between 1177 and 900 m a.s.l. (above sea level), covering an area of around 15 km². Our further investigations, including geodetic survey, borehole drilling, and field reconnaissance, combining with five chronological data, have made some new discoveries at this site. First, the toe of the landslide extends from 900 m a.s.l. down to 320 m a.s.l., i.e., the local bed elevation of the contemporary Jinsha River. Second, the area of the landslide deposits is 17.3 km² with a volume of 2.38 km³, much larger than the previous estimation. Thus, it should be one of the largest known landslides in China. And the lower elevation of the landslide’s toe also rules out the possibility that it is a hanging valley on the ancient Huanglang river. Our work suggests that this landslide was created by five events according to the overlapping characteristics of the deposits and five chronological data, which are old than 52,600 years, old than 16,000 years, old than 15,500 years, 5800 years, and old than 4200 years, respectively.     

Network-based triple-frequency carrier phase ambiguity resolution between reference stations using BDS data for long baselines

Network-based ambiguity resolution (AR) between reference stations is the prerequisite to realize a precise real-time kinematic positioning service. With the help of BDS triple-frequency signals, we can efficiently deal with the ionospheric delay and tropospheric delay, and achieve rapid and reliable AR. To overcome the inaccurate ionospheric delay estimated by the geometry-free three carrier ambiguity resolution (GF TCAR) technique, which leads to failure in the original ambiguity resolution, we propose an ionospheric-free (IF) TCAR method to resolve the ambiguity between the reference stations over long baselines. Taking full advantage of the known positions of the reference stations, the easily resolved extra-wide-lane (EWL) ambiguity, and the IF phase combinations, we can reliably fix the wide-lane (WL) ambiguity. A Kalman filter is applied to estimate precise IF ambiguities and the original ambiguity is resolved with the fixed WL ambiguity. A numerical analysis with triple-frequency BDS data from three long baselines of a CORS network is provided to compare the AR performance of GF TCAR with that of IF TCAR. The results show that both methods can reliably resolve the WL ambiguity with a remarkable correctly-fixed rate of higher than 99%, and the reliably-fixed rates of the IF TCAR slightly increase from 92.19, 94.67 and 94.61–98.26, 99.54 and 97.51% for the three baselines. Herein “correctly-fixed” and “reliably-fixed” mean the difference between the float ambiguity and the true one are less than ± 0.5 and ± 0.25 cycles, respectively. On the other hand, the AR performance of the original signals with the IF TCAR method is much better than that with the GF TCAR method attaining a 100% correctly-fixed rate, while the GF TCAR method can hardly fix the original ambiguity with the largest bias being as much as 4 cycles because of the amplified systematic bias.     

An improved ionosphere interpolation algorithm for network RTK in low-latitude regions

A traditional interpolation algorithm with the linear interpolation method (LIM) using a fixed number of reference stations is widely used in network RTK to obtain the ionospheric delays for the users. In low-latitude regions, where the ionosphere is relatively active, however, large interpolation errors exist, especially for satellites at low elevation angles. Considering the characteristics of “coinciding ionospheric pierce points (CIPPs)” with a similar nature of ionospheric delays, an improved interpolation algorithm is proposed. In this algorithm, all stations with CIPPs are used to establish the interpolation model; thus, more precise interpolation model is achieved. To validate the performance of the proposed algorithm, data from some reference stations in Guangdong Province of China were used, and the results are compared with those with the traditional interpolation algorithm. Numerical analysis shows that the interpolation accuracy of the proposed algorithm increases by 10–30% compared with the traditional one. Since the number of reference stations is flexible, the proposed algorithm can also balance the model accuracy with the computation burdens. In addition, the proposed algorithm is less affected by the selection of master reference station. In terms of network RTK on-the-fly positioning, the time-to-first-fix is reduced when replacing the traditional interpolation algorithm with the proposed one.     

与无人机图像匹配算法相结合的间接平差教学内容改革初探

间接平差法是误差理论与测量平差基础中的经典平差法之一,是课程内容的重要组成部分。针对目前大多数测量平差教材与无人机图像处理结合较少,难以满足我院测绘专业学员培养特点的问题,本文尝试进行将间接平差理论与无人机图像匹配算法相结合的教学内容改革。给出间接平差法的基本原理与无人机图像匹配的主要步骤,指出在图像匹配过程中关键点是利用间接平差法解算变形参数。结合Matlab与无人机图像处理实例,实现间接平差解算图像匹配变形参数过程,给出了具体代码与结果。教学实践表明:与无人机图像匹配算法相结合的间接平差教学内容改革不仅加深了学员对原理的理解,提高了理论联系实际的能力,更有助于学员理解平差原理对无人机数据后处理的意义,有助于激发学员的学习兴趣与动力。     

扬子地块新元古代裂谷盆地莲沱组沉积分异及其物源分析

扬子地块莲沱组及相当地层单元的划分和对比,一直是我国南华系（即Cryogenian）研究关键难题之一.新元古代裂谷盆地开启早期,构造-沉积分异作用,同裂谷相变很大,使得盆地边缘区地层序列不完整.过分依赖岩石地层单元对比,历存分歧,典型的就是关于莲沱组与板溪群地层对比、时代归属以及莲沱组的沉积环境问题.本文通过对扬子地块东南缘莲沱组沉积古环境分析和锆石U-Pb精确定年,认为莲沱组沉积时限为790~720 Ma,相当于板溪群中上部,是华南新元古代裂谷盆地沉积充填序列的第Ⅱ旋回.莲沱组顶部U-Pb最小年龄约720 Ma,制约了扬子地块Sturtian冰期的启动年龄≤720 Ma.通过对中扬子地块从北向南展布的莲沱组陆相-海陆过渡相-海相不同的沉积单元岩相组合的沉积特征观察研究,分析沉积环境并建立了沉积模式;莲沱组及休宁组碎屑锆石记录了莲沱组沉积时该盆地在780~760 Ma经历了持续热隆升与地层剥蚀,揭示了中国南方扬子和华夏地块聚合与裂解事件的重要信息.      

长江中游沿岸地下水中有机质分子组成特征及其对碘富集的指示

长期摄入高碘地下水（碘浓度＞100 μg/L）会造成人体甲状腺机能损伤.天然有机质被认为是影响高碘地下水形成的关键组分,为研究地下水中溶解性有机质（DOM）分子组成对碘富集的影响,选取长江中游沿岸浅层地下水作为研究对象,运用傅立叶变换离子回旋共振质谱仪（FT-ICR-MS）表征不同碘浓度地下水中DOM分子组成差异.研究发现碘易富集在还原环境的浅层地下水中,地下水中碘的浓度与溶解性有机碳（DOC）浓度无显著关系,DOM分子总数越多碘浓度越高;高碘地下水较低碘水DOM分子均一性、多样性更强,氧化程度和不饱和程度更高,含更多芳香性结构.长江中游沿岸高碘地下水的形成受DOM分子组成控制,主要与不饱和程度高尤其是含芳香性结构的大分子DOM有关,含芳香性结构的DOM分子与碘络合在高碘地下水的形成过程中起重要作用.      

新特提斯洋晚白垩世演化特点:来自泽当共国日二长花岗岩年代学、地球化学及Sr-Nd同位素证据

为加深对西藏泽当地区新特提斯洋演化的认识,对西藏泽当蛇绿混杂岩带内的共国日二长花岗岩进行了岩石学、岩石地球化学、同位素及年代学等研究,研究显示:共国日二长花岗岩岩体规模小、岩性稳定,LA-ICP-MS锆石U-Pb年龄为(90.40±0.68)Ma,属晚白垩世;岩石地球化学具高硅、富铝、富钾、低钛和准铝质钙碱性花岗岩特征;轻稀土富集、重稀土亏损,具明显的负Eu异常,微量元素表现为相对富集Rb、K、Ba、Th、U等大离子亲石元素,显著亏损Nb、P、Ti等高场强元素;(⁸⁷Sr/⁸⁶Sr)_i=0.705 708~0.706 284,(¹⁴³Nd/¹⁴⁴Nd)_i=0.512 689~0.512 716,ε_Nd(t)=2.00~2.51。以上特征表明,位于泽当蛇绿混杂岩带内的共国日二长花岗岩属于I型花岗岩,由正常岛弧岩浆形成,应为晚白垩世新特提斯洋向北俯冲形成的岛弧环境下俯冲带上部地壳部分熔融的产物,其不属于泽当蛇绿岩的组成部分,表明在90 Ma前泽当洋内弧已经消失。     

Numerical investigation of the hydrodynamic response of an impermeable sea-wall subjected to artificial submarine landslide-induced tsunamis

Landslides - Landslide-induced tsunamis are common natural hazards that potentially affect the safety and stability of waterfront structures. A numerical tank was constructed using FLOW-3D to...     

中国晚泥盆世至早三叠世楔叶类植物多样性研究*

化石类群的分类单元多样性和形态多样性变化是生物宏演化的2个基本方面,而以往的研究对于后者的关注较少。晚古生代的楔叶类植物易于识别,化石记录丰富,但针对这一类群多样性演化的研究还较为缺乏。基于华北板块、华南板块晚泥盆世至早三叠世楔叶类植物属、种以及叶片形态编码数据库,对楔叶类植物宏演化历程进行详细研究。中国(华北板块和华南板块)楔叶类植物的属、种丰富度在晚古生代呈现出不稳定的持续增长,表现为晚泥盆世的初始兴盛、早石炭世杜内期至早二叠世萨克马尔期的缓慢上升、早二叠世萨克马尔期至晚二叠世吴家坪期的快速上升;晚二叠世长兴期,总体的属种多样性骤减;每百万年属种多样性在二叠纪—三叠纪之交亦有明显降低。华南板块楔叶类植物的属种多样性总体上小于华北板块,达到峰值的时间为卡匹敦期—吴家坪期,而华北楔叶类植物的属级多样性在空谷期—沃德期达到峰值。中国楔叶类植物叶片的形态多样性的剧烈变化与属种丰富度并不同步,表现为法门期至韦宪期较小,在宾夕法尼亚亚纪达到峰值,随后稍微下降并在二叠纪的大部分时段保持平稳。在晚古生代的叶片形态演化过程中,楔叶类植物的叶面积由小变大、叶片由深裂至不裂、叶尖形状由分裂变为圆形或钝圆、叶轮中的叶从大小相等到大小不等并出现叶镶嵌,这可能与当时植物群落中林下层光照强度的变化有关。     

广西气象数据中心机房供电系统设计与保障

针对供配电系统容易发生的安全隐患,优化设计配电系统结构、采用一体化运维监控平台和采用高质量、高可靠性的设备,消除单点故障瓶颈,确保在停电、设备故障、维修维护等各种情况下提供不中断或快速恢复供电,避免停电对业务正常运行造成影响,确保机房供电安全。