Seasonal variation in nature and chemical compositions of spring water in Cuihua Mountain,Shaanxi Province,central China

Two springs (Cuihua Spring, Shuiqiuchi Spring) in Cuihua Mountain of the Qinling Mountains were observed and sampled monthly during 2004 and 2005 to trace their physical properties and chemical compositions with seasons. Although both pH values and cation (Ca²⁺, Mg²⁺, K⁺, and Na⁺) contents of Cuihua Spring are higher than those of Shuiqiuchi Spring, seasonal variations in both springs are obvious. The pH values of both spring waters are between 5.69 and 6.98, lower than that of rainwater during summer and autumn. From January to November, the pH values of both springs similarly vary from high to low and then to high again. Variations in electric conductivities of two spring waters are contrary, although their electric conductivities are positively correlative with the cation content respectively. This can be attributed to different water sources of the two springs or different acidic rocks they passed. The contents of HCO₃ ⁻, Ca²⁺, Mg²⁺, K⁺, and Na⁺ are low, indicating a low silicate weathering that the strata in this district are mainly composed of granite and schist of quartz and mica. Differing from change in spring water in karst regions of South China where abundant precipitation and dilution of rainwater cause low pH and electric conductivity in summer and autumn, the seasonal variations in the pH values and the electric conductivities of two springs in Qinling Mountains are attributed to seasonal changes in CO₂ produced by microorganisms’ activity in soil within respective year, rather than rainfall. The microorganisms’ activity in soil produces more CO₂ during summer and autumn. Therefore, the water nature of springs in silicate regions chiefly reflects the seasonal changes of CO₂ produced by the microorganisms in soil.     

CO_2 Density-Raman Shift Relation Derived from Synthetic Inclusions in Fused Silica Capillaries and Its Application

Abstract: The densities of CO2 inclusions in minerals are commonly used to determine the crystallizing conditions of the host minerals. However, conventional microthermometry is difficult to apply for inclusions of small size (< 5–10 μm) or low density. Raman analysis is an alternative method for determining CO2 density, provided that the CO2 density–Raman shift relation is known. This study aims to establish this CO2 density–Raman shift relation by using CO2 inclusions synthesized in fused silica capillaries. By using this newly-developed synthetic technique, we formed pure CO2 inclusions, and their densities were determined by microthermometry. The Raman analysis showed that the relation between CO2 density (D in g/cm3) and the separations (Δ in cm?1) between the two main bands (i.e. Fermi diad bands) in CO2 Raman spectra can be represented by a cubic equation: D (g/cm3)=0.74203(?0.019Δ3+5.90332Δ2?610.79472Δ+21050.30165)?3.54278 (r2=0.99920). Our calculated D value for a given Δ is between those obtained from two previously-reported equations, which were derived from different experimental methods. An example was given in this study to demonstrate that the densities of natural CO2 inclusions that could not be derived from microthermometry could be determined by using our method.     

探地雷达空气回波特点与处理方法

探地雷达发射的电磁波在整个空间传播,存在空气中回波,空气中回波可分为以下3种：直达波、系统振铃、反射回波。直达波位于探地雷达记录的初期很小时间段,对识别地下介质反射影响不大,系统振铃和地表反射体的回波是探地雷达探地工作的主要干扰。空气中反射体的反射回波时距曲线一般有两种形式：双曲线型、线型。可以通过计算介质中电磁波波速来识别反射回波是空气中反射体形成的,还是地下介质反射形成的。应用水平背景移除、二维滤波可以有效滤除探测剖面中的水平和倾斜同向轴干扰信号;利用地下介质和空气中雷达波速进行偏移处理的资料进行对比解释可以有效提高解释的正确性。     

本溪水洞洞穴空气CO2浓度与温、湿度的空间分布和昼夜变化特征

洞穴空气CO2浓度是影响洞穴次生化学沉积物沉积和溶蚀的重要因素之一。基于对本溪水洞洞穴空气CO2浓度、温度和湿度连续两个昼夜的系统观测结果,结合洞外大气CO2浓度、温度和湿度数据,初步分析了本溪水洞洞穴空气CO2浓度空间分布特征和昼夜变化规律：（1）洞穴空气CO2浓度自洞口开始快速增高至一定深度后趋于稳定,这个快速升高的距离与不同季节洞穴交换能力有关,秋季大约是370 m。洞穴CO2浓度稳定区的空间差异可能主要与洞穴结构和裂隙发育情况有关,在洞体变小的倚天长剑景点附近出现峰值,而在洞体变大的石瀑布景点和游客无法进入的源头区出现低谷。（2）观测期间,洞穴空气CO2浓度总体上呈递降趋势,基本上与游客数量有关。（3）在洞穴空气CO2浓度急剧上升的近洞口段,洞穴空气CO2浓度每个昼夜出现两个峰值,分别对应正午12时和午夜前后。本溪水洞洞穴空气CO2浓度的这种变化特点,受游客与工作人员的呼吸排放和洞穴与大气间的气体交换作用的双重影响。     

两种用于作物冠层叶绿素含量提取的改进光谱指数

在深入探讨目前广泛使用的提取叶绿素含量的植被指数的光谱响应机制基础上,利用PROSPECT+SAIL模型模拟的作物冠层反射率样本数据对比分析了这些植被指数对叶绿素含量变化的敏感性差异,包括PSSRa、PSSRb、PSNDa、PSNDb、NPCI、PRI、MCARI和TVI等.结果表明,上述植被指数或对土壤背景变化敏感,或受高值LAI影响趋于饱和,对作物叶绿素含量反演效果均不理想.提出了4种基于TVI和MCARI的改进植被指数MTVI1、MTVI2、MCARI1和MCARI2,揭示了它们对土壤背景和LAI不敏感,对叶绿素含量变化更为敏感的光谱机制,并根据实验数据对其进行验证.实验表明,改进的植被指数MTVI2和MCARI2是作物冠层叶绿素含量较好的预测器,可据此建立作物冠层叶绿素含量反演模型.     

北京地区Pi2脉动和地磁AE指数的关系

分析了北京地区1998年1月1日至3月26日和4月24日至6月13日共136天记录的Pi2脉动事件特性,并与同时期亚暴AE指数进行了对比.结果发现,在北京地区越靠近日侧,观测到的Pi2脉动事件越少,幅度也越小.并不是每次亚暴都能激发空腔振荡模,亚暴强度的增加也并不代表空腔振荡模产生概率的增加.随着亚暴AE指数的增大,Pi2脉动的平均幅度基本上也在增大.但也有例外,可能是由于北京观测地点距离亚暴电流楔位置较远造成的.北京地区的Pi2脉动可以发生于亚暴的整个过程中,从AE指数开始增长期间（亚暴增长相）,一直到亚暴AE指数恢复正常（亚暴膨胀相后期）.某些亚暴没有对应着Pi2脉动事件,其AE指数从小于200nT一直到800nT以上.从观测数据来看,北京地区虽然纬度分区在低纬区域,但其Pi2脉动的特性与中纬Pi2特性更为靠近.所以不宜用北京地区Pi2来预报亚暴,以避免误报和漏报.     

SEED格式STEIM2数据压缩算法在实时地震数据传输中的应用

在一定带宽内,及时、高效、无失真地传输地震数据是地震数据传输的基本要求,SEED格式给出的数据格式在数据压缩方面有其独到之处,但SEED格式没有定义数据正确性和完整性保证机制和检验方法,因而影响实时传输中的使用。本文提出一种基于SEED格式的STEIM2数据压缩算法,同EDAS数据包形式兼容的实时压缩数据包编码方法,来实现实时压缩数据的传输。经理论评估和实际数据检验,它容易实现,效率高,安全,可靠,完全可以应用于实时数据传输。     

Time-domain identification of dynamic properties of layered soil by using extended Kalman filter and recorded seismic data

A novel time-domain identification technique is developed for the seismic response analysis of soil-structure interaction. A two-degree-of-freedom (2DOF) model with eight lumped parameters is adopted to model the frequency-dependent behavior of soils. For layered soil, the equivalent eight parameters of the 2DOF model arc identified by the extended Kalman filter (EKF) method using recorded seismic data. The polynomial approximations for derivation of state estimators are applied in the EKF procedure. A realistic identification example is given for the layered-soil of a building site in Anchorage, Alaska in the United States. Results of the example demonstrate the feasibility and practicality of the proposed identification technique. The 2DOF soil model and the identification technique can be used for nonlinear response analysis of soil-structure interaction in the time-domain for layered of complex soil conditions. The identified parameters can be stored in a database for use in other similar soil conditions. If a universal database that covers information related to most soil conditions is developed in the future, engineers could conveniently perform time history analyses of soil-structural interaction.     

Features of a comet nucleus: The case of 103P/Hartley 2

In the paper two chosen features of the comet 103P/Hartley 2 are studied. The first one are ‘cometary geysers’ which have been recorded by the camera on Deep Impact spacecraft. The numerical calculations related with this phenomenon have been carried out for large number of values of probable cometary characteristics. Our calculations confirm the assumption what also has been observed by NASA's scientists that the jets of carbon dioxide from the geysers are able to lift large chunks of water ice from the comet. The second discussed feature of the comet 103P/Hartley 2 is the lack of impact holes on the surface of its nucleus. The expected rate of impact holes on the surface of the nucleus of 103P/Hartley 2 is discussed. These holes could be the product of impacts between this comet and other small bodies orbiting in the main asteroid belt. The probability of such impacts, the total number of expected perceptible holes and changes in the luminosity of the comet caused by collisions are examined. We conclude that indeed the number of visible holes on its surface should be negligible (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

二维EMD 方法在微尺度波斜率波数谱提取中的应用

进行海面微尺度波频率分析时,为消除重力波影响,引入二维 EMD(经验模态分解)方法滤除造成频率混叠的长重力波,然后进行傅立叶变换,得到海面微尺度波谱,进一步处理得到斜率波数谱。斜率波数谱提取结果表明：采用二维EMD方法可以有效滤除图像中混叠的长波信息,在此基础上进行微尺度斜率波谱计算的结果与国外已有结果基本一致。文中还将二维 EMD 方法与小波方法的处理结果进行了比对,结果表明在滤除长波的影响时,二维EMD方法具有其较明显的优势。