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41.
Gas Bench II-IRMS磷酸法在线测定水中溶解无机碳碳同位素分析条件及影响因素 总被引:1,自引:0,他引:1
采用Gas Bench II-IRMS 对水中溶解无机碳碳同位素在线测定影响因素进行研究,确立了分析方法。通过对影响因素的研究确定了水中溶解无机碳碳同位素测试的最佳平衡时间;样品水中溶解无机碳浓度与样品测试的信号强度呈明显正相关;测试过程中色谱柱温度的高低不仅会影响样品峰的出峰时间,还会影响样品峰宽、峰高及峰积分面积等,影响最终测试结果。为了确保水中溶解无机碳碳同位素测试方法的准确性与可行性,进行了方法试验验证,水中溶解无机碳碳同位素比值(δ13C)的测定值与验证单位给出的δ13C测定值相一致,此测试方法具有可行性。在线测试的高效率和小样量与传统方法比较有显著优势,这为拓展同位素分析技术的应用领域提供了一种快速、高效的手段。本测试分析方法适用于地下水、地表水、大气降水的溶解无机碳碳同位素组成的在线测定。 相似文献
42.
本文通过对 2 0 0 1年 4月 19日贵阳机场雷雨大风冰雹天气过程的TBB分析 ,概略地阐述TBB在贵阳机场强对流天气预报中的应用。 相似文献
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三种方法测试岩溶水样氢氧同位素的对比研究 总被引:1,自引:0,他引:1
通过高温热转换元素-同位素比值质谱法(TC/EA-IRMS)、多用途气体制备仪-同位素比值质谱法(GasbenchⅡ-IRMS)以及激光光谱法对岩溶水样进行对比检测,其结果显示:对于氢同位素,TC/EA-IRMS的精密度达到0.3 ‰,激光光谱法的精密度达到0.1 ‰,均优于GasbenchⅡ-IRMS的精密度1.4 ‰;对于氧同位素,GasbenchⅡ-IRMS的精密度达到0.02 ‰,激光光谱法的精密度达到0.04 ‰,优于TC/EA-IRMS的精密度0.16 ‰。使用激光光谱法测定岩溶水样的氢氧同位素,所需要的样品量少,精密度高,能够满足岩溶区样品的高精度测试要求。 相似文献
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基于场所的GIS直接表达人类地理空间知识的管理和加工过程,而不确定性是人类智能的基本特点,因此GIS的智能化需要研究其中的不确定性问题。与传统的GIS相比,基于场所的GIS中的不确定性问题更为丰富,既包括随机性,也包括含糊性,而不确定性的主体既可以是地理要素、场所和空间关系,也包括命题和规则。该文介绍该领域相关的研究成果,基于不确定性主体、类型、表达手段及相关的活动4个视角,建立了基于场所的GIS中所涉及的不确定性框架,从而为相关的不确定性建模提供指导。 相似文献
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Side lobes of wavelets impact identification of thin sand bodies 总被引:3,自引:0,他引:3
Recently, we found that side lobes of wavelets have a large impact on the identification of thin sand reservoirs when studying some gas fields in a basin in Northwest China. Reflections from the top of the H Formation, in which there are gas-bearing thin sand bodies, have the main wavelet lobe between two weak peak side lobes. The lower one always mixes with another peak reflected from the top of a thin sand reservoir. That makes it difficult to identify the sand reservoir. In order to solve this, many forward models were set up using typical well logs. 2D synthetic profiles were produced using Ricker wavelets to study the relationships between the effects of wavelet side lobes and thin sand position and frequency and between amplitude and the thin sand body. We developed the following conclusions: First, it is easier to identify thin sands in a shallower position. Second, a good way to tell sand body reflections from side lobes is by comparing profiles with different frequency windows. Third, it is helpful and effective to describe sand extent using amplitude attributes. 相似文献
48.
本文通过对2001年4月19日贵阳机场雷雨大风雹天气过程的TBB分析,概略地阐述TBB在贵阳机场强对流天气预报中的应用。 相似文献
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Using 1°×1° final analysis(FNL) data from the National Centers for Environmental Prediction(NCEP),precipitation data from the Tropical Rainfall Measuring Mission(TRMM) and the best-track tropical cyclone(TC)dataset provided by the Japan Meteorological Agency(JMA) for June-August of 2000-2009, we comprehensively consider the two factors low-level moisture channel and interaction between TCs and mid-latitude systems and implement a statistical analysis of remote precipitation in East Asia to the north of 0° and to the west of 150° E. 48 cases of remote precipitation occurred in this period, which are categorized into five classes. After a composite analysis of the different classes, the main systems at 850 h Pa and 500 h Pa that impact the remote precipitation are as follows:TC, mid-latitude trough, subtropical high and water vapor channel. In particular, the water vapor channel which usually connects with Indian monsoon has the most significant impact on remote heavy rainfall. Another important factor is the mid-latitude trough. The type of north trough/vortex-south TC remote precipitation events happen most frequently,accounting for 68.8% of the total incidence. Most remote precipitation events occur on the right side of the TC path(representing 71% of the total number). At 200 h Pa, the remote precipitation events usually occur on the right rear portion of a high-altitude jet stream, and there is an anti-cyclonic vortex to the east and west of the TCs. When there is no anti-cyclonic vortex to the east of the TC, the TC is relatively weak. When the remote precipitation occurs to the northwest of the TC and there is a trough in the northwest direction, the TC is relatively strong. Numerical experiments are carried out using Weather Research and Forecast(WRF) model. The results shows that the TC plays a main role in producing the heavy precipitation and results in the enhancement of precipitation by impacting the water vapor channel. 相似文献