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101.
本文探讨了灞河流域岩溶特征、CO2估算方法和CO2吸收量。观测资料表明,灞河流 域河水中pH值在冬春季高,夏秋季低,而HCO3含量通常与pH相反。河水和黄土地下水中 pH值、HCO3等化学成分含量与北方南部石灰岩区岩溶水基本相同,表明该区现代岩溶作用 明显,黄土地层也在不断吸收CO2,并对全球碳循环有重要影响。雨水富含CO2,其中约有 82%的CO2被岩溶过程吸收,18%左右的随河水流失。根据一个流域CO2输入量和输出量,可 以计算岩溶过程中 CO2吸收量。计算表明,灞河流域现代岩溶过程中每年吸收的 CO2约为5632.8t。 相似文献
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JIANG Chunming YU Guirui CAO Guangmin LI Yingnian ZHANG Shichun FANG Huajun 《大气科学进展》2010,27(6):1372-1379
CO2 efflux was estimated using different regression methods in staticchamber observation from an alpine meadow on the Qinghai-Tibetan Plateau.The CO2 efflux showed a seasonal pattern, with the maximun fluxoccurring in the middle of July. The temperature sensitivity of CO2efflux (Q10> was 3.9, which was at the high end of the range ofglobal values. CO2 emissions calculated by linear and nonlinearregression were significantly different (p<0.05). Compared with the linearregression, CO2 emissions calculated by exponential regression andquadratic regression were 12.7% and 11.2% larger, respectively.However, there were no significant differences in temperature sensitivityvalues estimated by the three methods. In the entire growing season, theCO2 efflux estimated by linear regression may be underestimated by upto 25% compared to the real CO2 efflux. Consequently, great cautionshould be taken when using published flux data obtained by linear regressionof static chamber observations to estimate the regional CO2 flux inalpine meadows on the Qinghai-Tibetan Plateau. 相似文献
104.
二维核磁共振能从"弛豫-扩散"两个维度上展现流体性质,在识别稠油储层方面具有理论优势,是当前核磁共振测井技术的研究热点.本文深入研究二维核磁共振测井原理,系统分析CPMG-DE脉冲序列测量扩散系数与弛豫时间的方法,结合核磁共振二维谱数理模型,提出一种基于SVD和BRD的正则化反演算法.该算法通过SVD压缩数据,采用带非负约束的Tikhonov正则化方法求解流体"弛豫-扩散"分布,并基于BRD算法迭代确定最佳正则化因子.模拟实验与数值分析表明,该算法无需先验信息、运算效率高、相对误差小,在原始数据信噪比低至50时,仍可有效获取流体(T2,D)二维分布.在二维核磁共振测井数据实时解释应用中,该方法较传统反演算法(如TSVD)具有较大优势.同时,在自主研发的核磁共振测井仪测量CuSO4溶液(T2,D)分布的实验显示,本文设计算法对弛豫时间和扩散系数的反演误差分别仅为2%和4%,较TSVD算法有较大改善. 相似文献
105.
D Raptakis F.J Chvez-Garca K Makra K Pitilakis 《Soil Dynamics and Earthquake Engineering》2000,19(1):411
This paper describes the process of construction of the 2D model of Volvi's geological structure and results of empirical and theoretical approaches to the evaluation of site response at Euroseistest. The construction of the 2D model is based on a re-interpretation of the available geophysical and geotechnical data in an effort to improve the definition of the subsoil structure at Euroseistest in terms of the most important parameters needed to model site response. The results of this re-interpretation are compared with a previous published 2D model of the same alluvial valley. Different analysis of the measurements and different criteria in the synthesis of data have led to a different model, even if both studies had access to the same field measurements. This underscores the fact that a model results of an interpretation and is not uniquely determined by the data, no matter how detailed they are. The well known subsoil structure opened the possibility to correlate the geometry and the dynamic properties of the 2D model with the results of site response determined from a detailed analysis of two events in frequency and time domains and 1D numerical modeling. The study of site response shows the important effect of the lateral variations on the ground motion and suggests that the contribution of locally generated surface waves to the resonant peak may be important. In the case of Volvi's graben, the limitations of the 1D approximation to simulate ground motion under complex soil conditions in both frequency and time domains are also shown. This paper lays the ground for a companion article dealing with 2D site effects in this basin. 相似文献
106.
石墨炉原子吸收光谱法测定土壤样品中镉 总被引:5,自引:0,他引:5
采用磷酸氢二铵作基体改进剂塞曼扣背景石墨炉原子吸收光谱法测定土壤样品中镉,方法检出限DL=0.012μg/g,精密度RSD在3.55%~7.33%,满足了土壤样品中镉测定的镉质量要求。 相似文献
107.
硫酸侵蚀下水泥土的电阻率特性研究 总被引:13,自引:0,他引:13
通过室内试验模拟了水泥土试块受不同浓度硫酸(H2SO4)溶液侵蚀的过程,采用电阻率法研究了电阻率与各参数、无侧限抗压强度之间的关系。结果表明,受H2SO4侵蚀后,水泥土电阻率、孔隙水电阻率、水泥土抗压强度均随着溶液浓度的增加而减小,而水泥土的结构因子和重度均随着溶液浓度的增加而增加,水泥土抗压强度与水泥土电阻率成正比。在试验的基础上,考虑侵蚀因素对水泥土电阻率的影响,通过对Archie法则进行修正,得到了H2SO4侵蚀下水泥土电阻率模型。通过对无侧限抗压强度试验结果的分析,并结合试块表观变化,提出了利用电阻率来评价侵蚀程度的方法。 相似文献
108.
An Antarctic sea ice identification algorithm on the HY-2A scatterometer(HSCAT) employs backscattering coefficient(σ0) and active polarization ratio(APR) for a preliminary sea ice identification.Then standard deviation(STD) filtering and space filtering are carried out.Finally,it is used to identify sea ice.A process uses a σ0,STD threshold and an APR as sea ice indicators.The sea ice identification results are verified using the sea ice distribution data of the ASMR2 released by the National Snow and Ice Data Center as a reference.The results show very good consistence of sea ice development trends,seasonal changes,area distribution,and sea ice edge distribution of the sea ice identification results obtained by this algorithm relative to the ASMR2 sea ice results.The accuracy of a sea ice coverage is 90.8% versus the ASMR2 sea ice results.This indicates that this algorithm is reliable. 相似文献
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