基于Android系统的测震台网日志管理平台设计

为实现测震台网日志产出的统一化和标准化,提高工作效率,减轻人员负担,基于Android系统,设计开发测震台网日志管理平台,用户可通过手机APP完成地震速报、编目及系统运维日志的增、删、改、查和统计操作。该平台的应用解决了日志管理散乱、查询不便等难题,可为测震台网统一化管理提供支持。     

岩溶湿地表层水体CO2分压时空分布特征及其扩散通量

为揭示岩溶湿地表层水体二氧化碳分压(pCO₂)的时空分布规律及其扩散通量,以我国最大的岩溶湿地贵州威宁草海为研究对象,分别于2019年7月(丰水期)和12月(枯水期)通过网格布点法,系统采集草海表层湿地水体,测定水样理化指标和离子组成,利用PHREEQCI软件计算水体pCO₂,并基于Cole提出的气体扩散模型估算水-气界面二氧化碳(CO₂)的扩散通量.结果表明:草海湿地表层水体丰水期pCO₂的变化范围为0.44~645.65μatm,平均值为(55.94±124.73)μatm;枯水期变化范围为35.48~707.95μatm,平均值为(310.46±173.54)μatm;丰水期水体整体pCO₂低于枯水期,空间上两期水体均呈现东部区域及河流入湖口处pCO₂较高,而中西部区域pCO₂欠饱和的特征.水-气界面CO₂的扩散通量在丰水期变化范围为-43.27~27.16 mmol/(m²·d),平均值(-34.49±12.93)mmol/(m²·d),枯水期变化范围为-33.36~28.15 mmol/(m²·d),平均值(-8.02±15.85)mmol/(m²·d),与其他岩溶湖库相比,水生植物丰富的草海在两个极端水文期CO₂扩散通量相对较低,总体表现为大气CO₂的汇.     

河蟹生态养殖池浮游植物功能类群的结构特征

为探究河蟹生态养殖池浮游植物群落的结构及动态,2013年4-10月对上海松江泖港地区河蟹养殖池的浮游植物进行了调查,分析其种类构成、密度、生物量和生物多样性.共检测到浮游植物105种,其中河蟹生态养殖池优势种11种,分别属于B、D、J、LO、X1、WO、X2、S1和MP功能群.河蟹养殖池浮游植物平均密度为282.58×10~4cells/L,平均生物量为1.59 mg/L,Shannon-Wiener多样性指数变化范围为2.11~3.09.水源浮游植物平均密度为175.13×104cells/L,平均生物量为0.99 mg/L,Shannon-Wiener多样性指数变化范围为1.70~2.79.河蟹养殖池浮游植物平均密度分别于5月14日-6月14日和7月29日-8月29日与水源差异显著;河蟹养殖池浮游植物平均生物量分别于5月30日、6月14日和7月29日-8月29日与水源差异显著;河蟹养殖池浮游植物Shannon-Wiener生物多样性指数分别于5月14日-6月14日和8月14日-9月15日与水源差异显著.河蟹养殖池浮游植物的平均密度、平均生物量和生物多样性指数与水源水体变化趋势基本一致,均高于水源,群落稳定.     

Along‐strike variability in shelf‐margin morphology and accretion pattern: An example from the northern margin of the South China Sea

Interplays among diachronous tectonism, uneven sediment supply, and local marine hydraulic processes make the northern margin of the South China Sea (SCS) an ideal location to investigate the complexity of along‐strike variability in shelf margins. This study examines shelf‐margin morphology, stratigraphy, and sedimentation from the northern SCS using multichannel seismic reflection profiles complemented with the data from commercial and ocean drilling sites. Analysis of seismic reflection profiles reveals three categories of shelf‐margin cross‐sectional profiles, the concave‐up, linear, and sigmoidal, according to which five margin sectors were recognized. Results show that these margin segments differ in relief, shelf‐edge trajectory, submarine canyon development, and long‐term accretion pattern. The westernmost margin sector, or the Yinggehai (YGH)‐western Qiongdongnan (QDN) margin, has appeared to be supply dominated since its commencement at ca. 10.5 Ma, which is characterized by well‐developed prograding clinoforms, low‐angle shelf‐edge trajectories, and an absence of canyons. Presence of concave‐up profiles is also suggestive of high sediment influx. In contrast, the eastern QDN margin was primarily regulated by local subsidence and faulting, leading to a stationary shelf‐edge migrating pattern and linear upper‐slope morphology. Densely distributed slope‐confined gullies indicate the margin’s disequilibrium and erosive nature. Further east, the Pearl River Mouth (PRM) margin formed much earlier (ca. 30 Ma) and experienced a more complicated accretion history, including three phases which were dominated by sequential marginal faulting (before ca. 30 Ma), basement structure (ca. 30–23 Ma), and sediment supply (ca. 23 Ma to the present). The overall sigmoidal morphology and truncated stratigraphy of this margin probably resulted from the sculpting of local marine processes, especially ocean currents and internal waves. The exception of the central PRM margin where concave‐up profiles develop is mainly related to canyon erosion. Overall, this study highlights the vital role of local forcing factors in controlling along‐margin variations and determining the final fates of different margin segments. A comparison between the northern SCS and other well‐established examples reveals that concave‐upward shelf‐margin shapes, which are usually associated with high sediment supply, little influence from hydraulic regimes, or sometimes, high degree of canyon development, may be an indicator of good reservoir potential beyond the shelf edge.     

Characteristics of inter-frequency clock bias for Block IIF satellites and its effect on triple-frequency GPS precise point positioning

GPS Solutions - The latest generation of GPS satellites, termed Block IIF, provides a new L5 signal. Multi-frequency signals open new prospects for precise positioning and fast ambiguity resolution...     

天线相位中心改正模型对PPP参数估计的影响

比较了IGS发布的相对天线相位中心改正模型与绝对天线相位中心改正模型,分析了两种不同模型对精密单点定位（PPP）参数估计的影响。结果表明,采用不同的天线相位中心改正模型,天顶对流层延迟（ZPD）的估值存在5mm左右的差异,接收机钟差参数存在3ns左右的差异,估计的测站坐标高程方向有1cm左右的差异。使用绝对天线相位中心模型估计得到的ZPD精度优于5mm,高程方向定位精度约为1cm,接收机钟差估计的精度达0.1ns。     

基于图优化的紧耦合双目视觉/惯性/激光雷达SLAM方法

基于单一传感器的同时定位与地图构建技术已经逐渐不能满足移动机器人、无人机及自动驾驶车辆等智能移动载体日益复杂的应用场景。为了进一步提升移动载体在复杂环境下的定位与建图性能,基于多传感器融合的SLAM技术成为目前研究的热点内容。本文提出了一种基于图优化的紧耦合双目视觉/惯性/激光雷达SLAM方法(S-VIL SLAM),该方法在视觉惯性系统中引入激光雷达原始观测,基于滑动窗口实现了IMU量测、视觉特征及激光点云特征的多源数据联合非线性优化。利用视觉与激光雷达的互补特性设计了视觉增强的激光雷达闭环优化算法,进一步提升了多源融合SLAM系统的全局定位与建图精度。为了验证本文算法的性能,利用自主搭建的集成多传感器的硬件采集平台在室外场景下进行了车载试验。试验结果表明,本文提出的紧耦合双目视觉/惯性/激光雷达里程计相比于紧耦合双目视觉惯性里程计和激光雷达里程计定位定姿性能显著提升,视觉增强的激光雷达闭环优化算法能够在大尺度场景下有效探测出轨迹中的闭环信息,并实现高精度的全局位姿图优化,经过闭环优化的点云地图具有良好的分辨率和全局一致性。     

单站GPS载波平滑伪距精密授时研究

给出了单站GPS载波相位平滑伪距授时的原理和数学模型,详细分析了单站GPS载波相位平滑伪距授时的技术难点和授时精度评定的表征量,并编程对IGS站观测数据进行处理.实验结果表明,单站GPS载波相位平滑伪距精密授时的绝对钟差精度可达到ns级.     

Using stable isotopes of surface water and groundwater to quantify moisture sources across the Yellow River source region

Characterization of stable isotope compositions (δ²H and δ¹⁸O) of surface water and groundwater in a catchment is critical for refining moisture sources and establishing modern isotope–elevation relationships for paleoelevation reconstructions. There is no consensus on the moisture sources of precipitation in the Yellow River source region during summer season. This study presents δ²H and δ¹⁸O data from 111 water samples collected from tributaries, mainstream, lakes, and groundwater across the Yellow River source region during summertime. Measured δ¹⁸O values of the tributaries range from ?13.5‰ to ?5.8‰ with an average of ?11.0‰. Measured δ¹⁸O values of the groundwater samples range from ?12.7‰ to ?10.5‰ with an average of ?11.9‰. The δ¹⁸O data of tributary waters display a northward increase of 1.66‰ per degree latitude. The δ¹⁸O data and d‐excess values imply that moisture sources of the Yellow River source region during summertime are mainly from the mixing of the Indian Summer Monsoon and the Westerlies, local water recycling, and subcloud evaporation. Analysis of tributary δ¹⁸O data from the Yellow River source region and streamwater and precipitation δ¹⁸O data from its surrounding areas leads to a best‐fit second‐order polynomial relationship between δ¹⁸O and elevation over a 4,600 m elevation range. A δ¹⁸O elevation gradient of ?1.6‰/km is also established using these data, and the gradient is in consistence with the δ¹⁸O elevation gradient of north and eastern plateau. Such relationships can be used for paleoelevation reconstructions in the Yellow River source region.