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氢气具有较强的映震灵敏性,氢气观测是探索地震短临预报的新途径。ATG-6118H痕量氢气在线自动分析仪是一种用于测量地下流体逸出氢气的新型数字化观测仪器,可以现场进行全自动连续测定,具有灵敏度高、自动化程度高、功耗低、操作简单等特点,具有网络远程诊断和数据处理分析功能,可以精确分析空气及井水中逸出的痕量氢背景值。目前我国尚未形成统一的痕量氢分析仪的检测规范,本文根据实际检测要求,对ATG-6118H痕量氢气在线自动分析仪进行了校准实验、检出限实验以及精确度实验,并对8台仪器性能进行了对比。通过指标评价确定了该仪器的性能检测方法的可行性,适合在具备数字化观测条件的全国地震地下流体台站以及具备断层气观测条件的台站推广应用。 相似文献
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This paper presents a method to integrate linear horizontal, vertical and right-angled scene structures into the bundle adjustment of image sequences. An increasing number of airborne image acquisition systems is available and equipped with non-metric small- or medium-frame cameras and no or insufficiently accurate INS devices. In cases where the data is to be used for the production of geo-spatial data, where a certain accuracy and precision is required, an indirect sensor orientation, possibly including self-calibration, needs to be performed. The idea which led to the presented approach is to reduce the number of GCPs necessary for this task by applying the mentioned scene structures. The method directly uses the linear structures, visible at man-made objects as fictive observations within the adjustment, while self-calibration of intrinsic camera parameters and lens distortion is included as well.Experiments with two datasets demonstrate that, through this method, only limited GCP information is required to obtain satisfactory results. In fact, in one experiment using oblique images, several scene constraints were provided and only the datum was defined by ground control. The residuals at check points from this setup were similar to the traditional case where several well-distributed GCPs were available in the scene. In the second experiment the ability of this approach to support the bundle adjustment was shown for a UAV dataset. Although no GCP and camera calibration information was available, the visual inspection of adjusted object points and the residuals at horizontal structures confirmed the ability of the method to align an image block with the structure, as embodied in the defined scene constraints. Despite the convincing outcome of the experiments, it needs to be mentioned that some manual work is still involved in defining the constraints. In future work the issue of automation will be addressed. 相似文献
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三年地基微波辐射计观测温度廓线的精度分析 总被引：4，自引：2，他引：2
对安装在北京南郊观象台的地基微波辐射计测量的温度廓线数据的精度进行了分析。首先在2006年9月晴天条件下,对比由7个氧气通道测量的亮温与由微波辐射传输模式计算的亮温。得到51.250GHz的测量值与计算值的标准差值最大,为3.8K,其余通道均小于1.8K。2种亮温的偏差值以及绝对偏差值,在51.250和52.280GHz处大于1.0K,在其余5个通道处都小于1.0K。2种亮温拟合直线的斜率,在52.280和53.850GHz处分别为0.66与0.7,其余通道都大于0.8。然后,使用2005年9月—2008年8月的观测数据,对比地基微波辐射计与探空同时观测的大气温度。结果显示,2种测量技术的差异随高度而增大。另外,将3a观测数据按照季节以及晴天与非晴无降水天进行对比分析。结果显示,不同季节2种测量技术存在不同差异。其中,夏季测量差异最小。而晴天测量差异在3.250km以下比非晴无降水天小。 相似文献
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SARAL/AltiKa has a Dual Frequency Microwave Radiometer (DFMR), and Jason-2 has an Advanced Microwave Radiometer (AMR). Both microwave radiometer sensors include a 23.8 GHz primary water sensing channel. The measurement consistencies between DFMR and AMR are important for establishing a consistent altimetry data set between SARAL/AltiKa and Jason-2 in order to accurately assess sea level rise in a long-term time series. This study investigates the measurement consistency in the 23.8 GHz channel between DFMR and AMR at the Simultaneous Nadir Overpasses (SNO's) between the two satellites and also at coldest ocean brightness temperature locations. Preliminary results show that while both instruments show no significant trends over the one year since the launch of SARAL, a consistent relative bias of 2.88 K (DFMR higher than AMR) with a standard deviation of 0.98 K is observed. The relative bias at the lowest brightness temperature from the SNO method (-3.82 K) is consistent with that calculated from coldest ocean method (-3.74 K). The relative bias exhibits strong latitude (and scene temperature) dependency, changing from -3.82 K at high latitudes to -0.92 K near the equator. There also exists an asymmetry between the northern and southern hemisphere. The relative bias increases toward the lower end of brightness temperature. 相似文献
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There is a lack of detailed guidance in the published literature on how to calibrate 14C measurements made on marine or mixed marine/terrestrial (primarily human remains) samples. We describe what we consider to be the best approach towards achieving the most accurate calibrated age ranges, using the most appropriate ΔR and percentage marine diet estimates, and associated, realistic error terms on these values. However, this approach will increase the calibrated age range(s) by fully accounting for the variability in both the model and the material. While the discussion is based on examples from the UK and Iceland, the same fundamental arguments can be applied in any geographic location largely devoid of C4 plants as the high δ13C values from such plants can make identification of marine intake difficult to determine. 相似文献
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This study reports an inter-laboratory comparison of the 3He and 4He concentrations measured in the pyroxene material CRONUS-P. This forms part of the CRONUS-Earth and CRONUS-EU programs, which also produced a series of natural reference materials for in situ produced 26Al, 10Be, 14C, 21Ne and 36Cl.Six laboratories (GFZ Potsdam, Caltech Pasadena, CRPG Nancy, SUERC Glasgow, BGC Berkeley, Lamont New York) participated in this intercomparison experiment, analyzing between 5 and 22 aliquots each. Intra-laboratory results yield 3He concentrations that are consistent with the reported analytical uncertainties, which suggests that 3He is homogeneous within CRONUS-P. The inter-laboratory dataset (66 determinations from the 6 different labs) is characterized by a global weighted mean of (5.02 ± 0.12) × 109 at g−1 with an overdispersion of 5.6% (2σ). 4He is characterized by a larger variability than 3He, and by an inter-lab global weighted mean of (3.60 ± 0.18) × 1013 at g−1 (2σ) with an overdispersion of 10.4% (2σ).There are, however, some systematic differences between the six laboratories. More precisely, 2 laboratories obtained mean 3He concentrations that are about 6% higher than the clustered other 4 laboratories. This systematic bias is larger than the analytical uncertainty and not related to the CRONUS-P material (see Schaefer et al., 2015). Reasons for these inter-laboratory offsets are difficult to identify but are discussed below. To improve the precision of cosmogenic 3He dating, we suggest that future studies presenting cosmogenic 3He results also report the 3He concentration measured in the CRONUS-P material in the lab(s) used in a given study. 相似文献