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71.
利用GAMIT 10.6和2016年第101天至第160天南昌站的GPS观测资料,开展了13组概略坐标变化对GPS PWV解算的影响研究试验(南昌站概略坐标设置以10 m等间距从0~120 m逐渐向西偏移真实坐标)。其结果发现:当概略坐标与实际坐标偏离在60 m以内时,概略坐标的变化对GPSPWV的解算影响不大(长基线的相对误差和均方根残差NRMS分别维持在5.7×10~(-9)和0.24附近);但当概略坐标与真实坐标偏离超过60 m后,概略坐标的变化对GPS PWV的解算有着显著的影响,其中基线相对误差和GPS PWV与探空PWV的标准偏差随概略坐标偏离的增加而快速增大,NRMS和GPS PWV与探空PWV的相关系数也有明显的增加和减小,GPSPWV的成功解算日数则随概略坐标偏离的增加而快速减小(当偏离≥120 m时南昌无GPS PWV生成);概略坐标变化对基线相对误差、GPS PWV精度以及GPS PWV能否被成功解算的影响仅限于本站,某站概略坐标的偏离不会对其他站GPS PWV解算造成明显的影响。 相似文献
72.
基于加速器控制网的GPS绝对测量精度探讨 总被引:2,自引:1,他引:2
针对当前散裂中子源准直测量控制网空间距离大、绝对精度要求高,常规测量难以满足需要的问题,提出采用不受通视限制、高精度的GPS测量解决,通过GPS在“标准检测场”准直实验,计算分析后处理软件、观测仪器及观测时长对GPS绝对测量精度的影响,结果表明,1km的测区范围,商业软件解算结果优于科研软件,且商业软件中TTC解算精度最高;分体机比一体机观测精度更高,但随观测时长增长,二者精度相当;观测时长超过8小时以上,基线值将趋于稳定。 相似文献
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提出多天线基线网单历元模糊度同步解算法,其具体实现步骤为:1)根据宽巷组合模糊度易于固定的优点,采用附加已知基线长度约束法同步解算各基线的宽巷模糊度,得到dm~cm级精度的近似基线分量;2)将解算得到的各近似基线分量作为约束,同步解算各基线的基频模糊度,以获取mm级精度的基线矢量。该方法的关键在于检验各历元宽巷模糊度解算的正确性,以获取可靠的近似基线分量,为解算各基线的基频模糊度提供准确的基线先验信息。由于动态情况下各历元观测信息比较少,单纯依赖ratio检验不可靠,提出结合基线误差、单位权中误差、基线网模糊度闭合环及ratio值等对多组宽巷模糊度进行检验,避免ratio值设置不当导致模糊度检验中发生纳伪和弃真问题。实测数据结果证明,该处理方法使得模糊度解算的成功率提高1%~2%,可以获取移动平台更丰富的导航信息,提高其服务能力。 相似文献
76.
胶北晚中生代煌斑岩的岩石地球化学特征及其成因研究 总被引:16,自引:5,他引:16
胶北煌斑岩分别采自龙口、烟台和威海地区,包括拉辉煌斑岩、斜闪正煌岩和角闪煌斑岩,煌斑岩K—Ar全岩年龄变化于89.3~169.5Ma,为晚中生代岩浆活动的产物。在岩石化学组成上,SiO2=42.02%~54.95%,以钙碱性系列为主.岩石以富集大离子亲石元素(LILE)(Ba,U,K,Th)和LREE,亏损高场强元素(HFSE)(Nb,Ta和Ti)为特征,Mg^#=33.9~53.9,Eu/Eu^*=0.71~0.89,^87Sr/^86Sr初始比值0.707642~0.709791,εNd(t)为-17.6~-10.4,^206Pb/^204Pb=37.588~38.431,^207Pb/^204Pb=15.423~15.531,^206Pb/^204Pb=17.204~18.179。表明煌斑岩源自俯冲陆壳(扬子下地壳)在地幔源区发生交代作用时形成的富集型地幔的部分熔融体.考虑到煌斑岩具有大陆边缘弧玄武岩的特征,我们认为煌斑岩在成因上同样与古大洋板块的俯冲作用有关,为碰撞后弧岩浆作用形成的脉岩。 相似文献
77.
Peyman Afzal Hamid Harati Younes Fadakar Alghalandis Amir Bijan Yasrebi 《Chemie der Erde / Geochemistry》2013
The aim of this study is to identify geochemical anomalies using power spectrum–area (S–A) method based on the grade values of Cu, Mo and Au in 2709 soil samples collected from Kahang porphyry-type Cu deposit, Central Iran. S–A log–log plots indicated that there are three stages of Cu, Mo and Au enrichment. The third enrichment was considered as the main stage for the presence of Cu, Mo and Au at the concentrations above 416 ppm, 23 ppm and 71 ppb, respectively. Elemental anomalies are positively associated with monzo–granite–diorite and breccias units which are in the central and western parts of the deposit. The anomalies are located within the potassic, phyllic and argillic alteration types and also there is the positive correlation between the anomalies and nearing faults in the studied area. The results obtained via fractal model were interpreted accordingly to incorporate the information for the mineralized areas including detailed geological map, structural analysis and alterations. The results show that S–A multifractal modeling is applicable for anomalies delineation based on soil data. 相似文献
78.
利用TerraSAR-X卫星2013-08~2014-08的17景雷达影像,采用小基线集(small baseline subset,SBAS)InSAR技术获取呼图壁(HTB)地下储气库(underground gas storage,UGS)运行期间的地表形变序列,并结合UGS注(采)气井口的压力数据,采用多点源Mogi模型,对HTB UGS的形变场进行模拟。结果表明,整个UGS区域的形变特征为非连续分布,形变与注(采)气压力变化具有较好的相关性;注(采)气期间沿卫星视线向(LOS)的形变峰值分别为10 mm和-8 mm;采用自适应前向搜索法,基于多点源Mogi模型初步模拟注(采)气期间的形变过程,当UGS的注(采)气平均气压为18 MPa和15 MPa时,LOS的形变可达7 mm和-4 mm,地表形变的大小与注(采)气井口密度有关;UGS的储气分布呈非均匀状态,即地下气库结构复杂多变。 相似文献
79.
COSEISMIC DISPLACEMENT FIELD OF THE WENCHUAN EARTHQUAKE DERIVED FROM STRONG MOTION RECORDS AND APPLICATION IN SLIP INVERSION
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The development of high-rate GNSS seismology and seismic observation methods has provided technical support for acquiring the near-field real-time displacement time series during earthquake. But in practice, the limited number of GNSS continuous stations hardly meets the requirement of near-field quasi-real-time coseismic displacement observation, while the macroseismographs could be an important complement. Compared with high-rate GNSS, macroseismograph has better sensitivity, higher resolution(100~200Hz)and larger dynamic range, and the most importantly, lower cost. However, baseline drift exists in strong-motion data, which limits its widespread use. This paper aims to prove the feasibility and reliability of strong motion data in acquiring seismic displacement sequences, as a supplement to high-rate GNSS.
In this study, we have analyzed the strong-motion data of Wenchuan MS8.0 earthquake in Longmenshan fault zone, based on the automatic scheme for empirical baseline correction proposed by Wang et al., which fits the uncorrected displacement by polynomial to obtain the fitting parameters, and then the baseline correction is completed in the velocity sequence. Through correction processing and quadratic integration, the static coseismic displacement field and displacement time series are obtained. Comparison of the displacement time series from the strong motions with the result of high-rate GPS shows a good coincidence. We have worked out the coseismic displacement field in the large area of Wenchuan earthquake using GPS data and strong motion data. The coseismic displacement fields calculated from GPS and strong motions are consistent with each other in terms of magnitude, direction and distribution patterns. High-precision coseismic deformation can provide better data constraint for fault slip inversion. To verify the influence of strong-motion data on slip distribution in Wenchuan earthquake, we used strong motion, GPS and InSAR data to estimate the stress drop, moment magnitude and coseismic slip model, and our results agreed with those of the previous studies. In addition, the inversion results of different data are different and complementary to some extent. The use of strong-motion data supplements the slip of the fault in the 180km segment and the 270~300km segment, thus making the inversion results of fault slip more comprehensive.
From this result, we can draw the following conclusions:1)Based on the robust baseline correction method, the use of strong motion data, as an important complement to high-rate GNSS, can obtain reliable surface displacement after the earthquake. 2)The strong motion data provide an effective method to study the coseismic displacement sequence, the surface rupture process and quick seismogenic parameters acquisition. 3)The combination of multiple data can significantly improve the data coverage and give play to the advantages of different data. Therefore, it is suggested to combine multiple data(GPS, strong motion, InSAR, etc.)for joint inversion to improve the stability of fault slip model. 相似文献
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