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.     

Position-domain integrity risk-based ambiguity validation for the integer bootstrap estimator

Integrity monitoring for ambiguity resolution is of significance for utilizing the high-precision carrier phase differential positioning for safety–critical navigational applications. The integer bootstrap estimator can provide an analytical probability density function, which enables the precise evaluation of the integrity risk for ambiguity validation. In order to monitor the effect of unknown ambiguity bias on the integer bootstrap estimator, the position-domain integrity risk of the integer bootstrapped baseline is evaluated under the complete failure modes by using the worst-case protection principle. Furthermore, a partial ambiguity resolution method is developed in order to satisfy the predefined integrity risk requirement. Static and kinematic experiments are carried out to test the proposed method by comparing with the traditional ratio test method and the protection level-based method. The static experimental result has shown that the proposed method can achieve a significant global availability improvement by 51% at most. The kinematic result reveals that the proposed method obtains the best balance between the positioning accuracy and the continuity performance.     

Analysis of estimated satellite clock biases and their effects on precise point positioning

This study provides a systemic analysis to identify the biases in estimated satellite clocks and illustrates their effects in precise point positioning (PPP). First, the precise satellite clock estimation method considering pseudorange and carrier phase hardware delays is derived. Two methods for satellite clock estimation are compared, and their equivalency is discussed. The results show that apart from the well-known constant code hardware biases, the time-variant phase hardware biases are also absorbed by the estimated clocks. Also, the satellite clocks contain biases caused by modeling errors. To analyze the effects of these biases, they are grouped into initial clock biases (ICBs) and time-dependent biases (TDBs). Then, a detailed analysis of the impact of the biases on PPP-based troposphere and coordinate estimates is conducted. The experimental analysis demonstrates that TDBs affect positioning and tropospheric estimates, and their impacts are more significant in the static mode. The ICBs affect coordinate accuracy, zenith total delay mean bias, and its standard deviations only at the millimeter level for kinematic and static PPP, which is negligible. However, the ICBs affect the convergence period for both static and real kinematic PPP, and the magnitude of their impact largely depends on data quality. Note that satellites clocks are generally estimated with the P1/P2 and L1/L2 ionospheric-free combinations, and that hardware-specific parts of ICBs and TDBs cancel if users employ the same type of observables as the clock providers. Otherwise, the effects of biases cannot be ignored, especially for triple-frequency applications. Also, modeling-specific parts of ICBs and TDBs are significant in real-time clocks, which also affect user applications. Our conclusion is applicable for understanding the effects of these biases.     

基于阜新市的土壤多样性与土地利用类型关联性分析

以阜新市为研究对象,将土地利用动态演变的模拟和预测以及关联分析测度方法应用于土壤多样性和土地利用类型关联性分析的研究中。选取1985—2015年间8个时期的遥感影像进行土地利用分类,并基于土壤矢量数据,对阜新市土壤和土地利用的多样性进行初步分析和定量化研究,探究了土壤与土地利用之间的关联性。研究结果表明:对阜新市土壤多样性指数影响因子的关联度从大到小依次是城镇、农用地、林地、水域、其他,关联度值分别为0.850 6、0.747 7、0.779 5、0.803 3、0.641 9,选取城镇、农用地、林地和水域这4个因子作为多元线性回归模型中的自变量参数,对土壤多样性指数进行预测,得到相关系数R=0.990,因此,4个因子对土壤多样性指数影响具有较强的关联性。由此可见,大规模土地利用变化是引起土壤多样性变化的一个首要驱动因子。     

浅谈《五指山市影像图》的设计与编制

结合Arc GIS与Corel DRAW两大制图软件平台,通过《五指山市影像图》设计与编制的实践工作,介绍了该影像图的设计以及制作流程,结合制图过程中的设计与操作实践经验,分析地图设计编制过程中应该注意的若干问题,从而为地图编制人员提供参考。     

江西省地级以上城市空间格局变化监测研究

城区空间格局是城市发展的骨架,是由城市的空间要素在城市地域上分布和相互交织而成的空间关系[1-2]。利用2000、2005、2010、2015、2016年5期高分辨率正射影像提取江西省地级以上城市城区边界,对提取成果进行城市空间格局研究及空间结构分析。结果表明:江西省城市空间格局整体呈现出"北紧南松、一核南北双中心"的结构,研究成果为解决城市发展面临的"老城区交通拥堵,新城区粗放型扩展"等空间结构优化问题,提供了合理的规划建议以及技术支撑。     

东非海岸坦桑尼亚和鲁伍马盆地天然气成藏机理

东非海岸盆地天然气资源丰富,是世界天然气勘探的热点地区.东非海岸重点盆地的天然气为腐泥型高温裂解气,主要来源于下侏罗统局限海相优质烃源岩.大型断裂控制了东非海岸重点盆地天然气的垂向运移,研究区主要发育大型伸展断裂和大型走滑断裂.大型走滑断裂是坦桑尼亚盆地南部天然气藏的主要运移通道,其主要活动时期为晚白垩世-古新世,控制了白垩系-古近系浊积砂岩气藏的油气运移成藏.大型伸展断裂是鲁伍马盆地天然气藏的主要运移通道,其主要活动时期为古新世、渐新世和新近纪,控制了古近系浊积砂岩气藏的油气运移成藏.砂体规模控制了深水区岩性或构造-岩性圈闭的大小,进而控制了天然气藏的规模.受天然气运移方式的控制,东非海岸盆地形成了大型走滑断裂控藏模式和大型伸展断裂控藏模式.      

硫介导细菌还原载砷铁矿对砷迁移转化的影响

硫在铁和砷的生物地球化学循环中发挥着重要作用,但地下水系统中硫循环的中间产物S(0)对细菌转化铁和砷的影响尚不清楚.采用室内模拟实验,研究硫参与下细菌D2201对液相和载砷针铁矿中Fe(III)和As(V)的还原作用.结果表明:细菌D2201具有很强的铁还原能力,可以将液相中74%的Fe(III)还原;加入硫后,细菌还原S(0)产生的S(-II)使铁还原率提高到94%.但是,硫没有明显影响细菌对砷的还原.在实验初期,细菌明显加速了载砷针铁矿的还原,最终还原释放到液相中的Fe(II)浓度为32.12 μmol/L;硫的加入增强了细菌对载砷针铁矿的还原,还原溶解的Fe(II)增加至284.13 μmol/L,同时,砷的释放量也增加了1.6倍.这些结果表明硫显著促进了细菌对针铁矿的还原溶解并加速砷的释放.XRD和SEM-EDS结果显示,细菌还原针铁矿但不改变其矿相,而硫的加入也仅使矿物发生一定程度的团聚,并没有使其转变为其他矿物,也未导致砷的再吸附.      

矿石体重回归分析在新疆乌宗布拉克矿区的应用研究

在资源储量估算的过程中,矿石小体重的准确与否将直接影响到资源储量估算的客观程度。对矿石小体重的准确预测将需要通过大量的统计分析工作,传统的方法是利用矿石小体重的算术平均值进行估算矿床资源储量,并没有考虑到多矿种对矿石小体重的影响程度。本文利用Excel软件"数据分析"的"回归"功能模块,对实验室所测定的矿石小体重值与其对应品位进行二元线性回归分析,快速、准确地构建矿石体重与其品位的数学模型,从而为资源储量估算提供了更客观、更科学的矿石体重模型。     

中国钙华沉积与气候变化关系研究

钙华是第四纪研究中的重要标志物,它记录了地质构造活动和气候变化信息.钙华沉积和气候变化之间可能存在联系,但它们之间的确切关系还不清楚.本文收集了中国的50处钙华地理坐标及98个已发表的钙华年龄数据,并使用钙华数量出现峰值的年龄与第四纪典型气候事件发生的时间进行比较分析,以检验钙华沉积受气候变化调节的假设.数据分析表明,中国钙华在空间上主要分布在水量充足气候温暖且地势起伏大、水动力强的西南地区;在时间上钙华数量出现峰值的频率大致对应于气候的10万年(100 ka)冰期旋回,每100 ka的最大峰值均出现在间冰期或过渡期(冰川期向间冰期过渡时期)这两个较温暖时期.并得出中国钙华在气候温暖且降水或地下水丰富的时期沉积速率更高,而在气温降低水量减少时期沉积速率较低.