Pb-PbCl_2不极化电极的设计与实现

长周期大地电磁测深需要观测最长周期为几万秒的大地电磁场信号,这要求用于测量电场信号的不极化电极具有很小的极差,以及至少长达1—2个月的稳定时间,普通的不极化电极不能满足要求。通过改进电极电解质配方和电极结构,试制出铅-氯化铅不极化电极。测量结果表明,该电极具有极差小、稳定时间长、使用寿命长、维护简单等优良特性。在山东菏泽等地的野外实验表明,该类不极化电极能够很好地观测几万秒的长周期信号。同等条件下,其性能优于国外同类产品,达到预期目标。     

长周期大地电磁测深数据采集及处理技术

研究岩石圈底部的上地幔盖层甚至软流圈的电性结构,需要采集周期长达几万秒的长周期大地电磁场信号,这对仪器设备、采集以及处理技术都提出了更高的要求.本文论述了用于采集长周期信号的仪器设备及其特殊性,讨论了长周期大地电磁测深测站的布置要求,并采用长周期大地电磁测深仪器试采了长周期大地电磁场信号.对试采信号的处理结果表明,采用长周期仪器设备和稳定性好的不极化电极,合理布置测站,能够采集到最长周期达几万秒的长周期大地电磁场信号.     

大地电场观测深埋铅电极测量系统试验

为使用铅电极替代不极化电极,以解决滨海地区大地电场观测系统稳定性差的问题,先后开展了浅埋的铅电极与不极化电极的大地电场对比观测,以及深埋铅电极与浅埋铅电极的对比观测试验。结果表明:铅电极与固体不极化电极的观测数据在短期内有较好的一致性;深埋铅电极的大地电场观测资料在长期稳定性上优于固体不极化电极;而观测数据的内在观测质量也高于浅埋铅电极。     

CS3301在长周期大地电磁测深仪中的应用研究

大地电磁测深是研究地壳和上地幔构造的一种重要的地球物理探测方法,当前国家正在实施深部探测专项SinoProbe等项目,故需要借助于长周期大地电磁测深仪器.我国没有自己生产的长周期大地电磁测深仪器,只能依靠从乌克兰进口的LEMI-417进行深部探测.在LEMI-417使用中,我们从该仪器提供的数据文件Final.asc中发现它的电场信号测量分辨率为0.01 mV/km,磁场信号测量分辨率为0.01 nT,相对较低,此外,该仪器在无GPS信号时会出现记录紊乱等现象,故需要设计适合课题组需要的长周期大地电磁测深仪器.由于大地电磁测深仪器需要采集的电场、磁场信号为微弱信号,容易淹没于噪声之中,故选用了低噪声、极小总谐波失真率的CS3301作为运算放大器.CS3301提供了4种可选择的信号输入模式和7种可选增益,经分析与测试,测量电场信号时,CS3301设置为输入模式1及×64增益,当极距100 M时,测量精度可达0.001 mV/km,高于LEMI-417的0.01 mV/km;测量磁场信号时,将反馈理论用于测量电路,CS3301设置为输入模式3及×64增益,只对信号的可变部分进行放大,精度可达0.006 nT,高于LEMI-417的0.01 nT.该系统在华南的9005、1005等多个测点以及东北的1600、5105等多个测点进行了测试,并与LEMI-417进行了对比试验,测量结果表明它们的时间序列曲线比较一致,数据处理后,在同一测点得到的大地电磁测深曲线也较一致,说明设计的仪器达到了预期目标.     

大地电场铅电极的研制

张家口地震中心台经过多次试验,成功研制了大地电场铅电极,采用新型的电极孔成孔方法及埋设技术进行了试验观测,从实验数据中可以明显看到地电场的日变形态。该电极具有制作工艺合理、电极差较小、稳定性能较好、噪声低、使用寿命长、易于保存和使用方便等特点,不仅可以满足大地电场长期定点观测的要求,还可以用于地电阻率观测,亦可作为地震电磁扰动观测中的电极传感器。铅电极应用前景广阔。     

利用地磁台站数据和站间传递函数估算长周期大地电磁测深的本地阻抗

大地电磁测深的有效信号为天然电磁场,容易受到人文电磁噪声干扰,如何提高大地电磁资料的信噪比,已经成为制约大地电磁应用和发展的一个重要因素.本文利用地磁台站数据,首先将地磁台站数据转化为长周期大地电磁测深所采集的磁场数据格式,利用远参考方法估算长周期大地电磁测点与地磁台站之间的站间传递函数,包括长周期大地电磁测点电场与地磁台站水平磁场之间的拟阻抗,以及长周期大地电磁测点水平磁场与地磁台站水平磁场之间的水平磁场传递函数,将拟阻抗与水平磁场传递函数相乘便可以得到长周期大地电磁测点本地阻抗的无偏估计.实测数据处理结果表明,该方法可以提高本地阻抗估算的数据质量,减小阻抗估算误差.     

带地形的大地电磁各向异性二维模拟及实例对比分析

带地形的大地电磁二维正演数值模拟多数基于电性各向同性理论,由于地球内部电性各向异性现象的普遍存在,基于电性各向异性理论研究地形起伏情况下大地电磁二维正演数值模拟就显得非常迫切.本文首先由麦克斯韦方程出发,引入张量电导率,求得一组关于平行走向的电场分量Ex和磁场分量Hx的二阶偏微分方程,使用有限差分法求解出Ex和Hx的近似解,并以此求得其他场分量;其次,引入地形因素,改变变量在网格节点中的排列方式,选择交错排列方式从而给有限差分系数矩阵的最大带宽分配合理的存储空间;最后,使用Weaver的方法解决TM模式下,在地-空分界面垂直于构造走向的一些区域存在不同电导率的问题.通过对带地形的二维电性各向异性结构做正演模拟,研究地形因素对大地电磁响应的影响;以电性各向异性理论为基础,将地形因素引入对实测大地电磁资料的处理中,通过做二维正演拟合和未引入地形因素的结果做对比,说明电性各向异性现象的普遍存在,认识地形因素对观测大地电磁场的影响,为今后分析解释实测大地电磁资料包含地形因素和电性各向异性情况提供理论基础和技术指导.     

用边界单元法模拟二维地形对大地电磁场的影响

本文用边界单元法模拟二维地形对大地电磁场的影响.首先用格林公式将二维大地电磁的边值问题转变成积分方程,然后用边界单元法解积分方程,得到地形上的大地电磁场和它的法向导数,由此可计算电阻率.与有限单元法相比,本方法剖分后的地形与实际地形的拟合程度高,向计算机输入原始数据的工作简单,可以在微机上计算地形引起的视电阻率.本方法适合于在野外生产现场进行大地电磁法的地形改正.计算表明,地形对H_x型波的影响比对E_x型波严重得多;随着周期的增长,地形对H_x型波的影响变得稳定.     

AR模型在大地电磁测深资料处理中的应用

大地电磁测深资料数据采集过程中,由于温度、湿度等对仪器的影响或GPS搜星不正常,采集到的数据有时会出现时间序列跳帧或缺失现象.针对这一问题,本文将基于无激励AR(p)模型预测数据的原理引入大地电磁测深数据处理中.根据已知序列确定AR(p)模型阶数以及模型参数,建立正确的预测模型对缺失数据进行预测,并对比经过预测后的数据与实际样本数据的频谱,表明AR(p)预测模型可以解决原始资料的不连续性问题,提高了大地电磁测深野外资料的利用率.     

海底大地电磁数据采集器

进行海底大地电磁数据采集，需借助于专用的水下探测设备 . 虽然大地电磁测深法无论是仪器或是测量手段在陆地上的应用已较为成熟，但把该方法移 植到海洋中，还需解决一些与海洋探测有关的工程技术问题. 主要包括：水下电场信号的提 取，海底环境的监测，仪器在非实时监控运行中的纠错对策以及测量部件的密封承压等等 . 在研制海底大地电磁数据采集器的过程中，采用先进的材料工艺，高精度的电子线路，可 靠的软件编程以及牢固的器件安装结构，有效地解决了上述技术问题. 用所研制的仪器首次 在我国海域进行了探测试验.     

SCIENCE CHINA Earth Sciences SUBJECT INDEX TO VOLUME 57(2014)

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Distribution of throughfall and stemflow in multi‐strata agroforestry,perennial monoculture,fallow and primary forest in central Amazonia,Brazil

The partitioning of rain water into throughfall, stemflow and interception loss when passing through plant canopies depends on properties of the respective plant species, such as leaf area and branch angles. In heterogeneous vegetation, such as tropical forest or polycultural systems, the presence of different plant species may consequently result in a mosaic of situations with respect to quantity and quality of water inputs into the soil. As these processes influence not only the water availability for the plants, but also water infiltration and nutrient leaching, the understanding of plant effects on the repartitioning of rain water may help in the optimization of land use systems and management practices. We measured throughfall and stemflow in a perennial polyculture (multi‐strata agroforestry), monocultures of peach palm (Bactris gasipaes) for fruit and for palmito, a monoculture of cupuaçu (Theobroma grandiflorum), spontaneous fallow and primary forest during one year in central Amazonia, Brazil. The effect on rain water partitioning was measured separately for four useful tree species in the polyculture and for two tree species in the primary forest. Throughfall at two stem distances, and stemflow, differed significantly between tree species, resulting in pronounced spatial patterns of water input into the soil in the polyculture system. For two tree species, peach palm for fruit (Bactris gasipaes) and Brazil nut trees (Bertholletia excelsa), the water input into the soil near the stem was significantly higher than the open‐area rainfall. This could lead to increased nutrient leaching when fertilizer is applied close to the stem of these trees. In the primary forest, such spatial patterns could also be detected, with significantly higher water input near a palm (Oenocarpus bacaba) than near a dicotyledonous tree species (Eschweilera sp.). Interception losses were 6·4% in the polyculture, 13·9 and 12·3% in the peach palm monocultures for fruit and for palmito, respectively, 0·5% in the cupuaçu monoculture and 3·1% in the fallow. With more than 20% of the open‐area rainfall, the highest stemflow contributions to the water input into the soil were measured in the palm monocultures and in the fallow. Copyright © 1999 John Wiley & Sons, Ltd.     

A Monte Carlo study of rainfall forecasting with a stochastic model

A procedure for short-term rainfall forecasting in real-time is developed and a study of the role of sampling on forecast ability is conducted. Ground level rainfall fields are forecasted using a stochastic space-time rainfall model in state-space form. Updating of the rainfall field in real-time is accomplished using a distributed parameter Kalman filter to optimally combine measurement information and forecast model estimates. The influence of sampling density on forecast accuracy is evaluated using a series of a simulated rainfall events generated with the same stochastic rainfall model. Sampling was conducted at five different network spatial densities. The results quantify the influence of sampling network density on real-time rainfall field forecasting. Statistical analyses of the rainfall field residuals illustrate improvement in one hour lead time forecasts at higher measurement densities.     

Anthropogenic Eutrophication and Red Tide Outbreak in Lacustrine Systems of the Kashmir Himalaya

Red tide, a recurrent phenomenon has become conspicuous in several Kashmir lake ecosystems since 1991. The responsible organism (Euglena pedunculata), a rare flagellate rediscovered in the Kashmir Himalaya (Khan 1993) caused first and unprecedented red tide outbreak, constituting a maximum of 96% of resident numerical phytoplankton density in Dal Lake. At present, conflicting hypotheses exist on the generation of causal assemblage(s) imparting redness to waters: Jeeji Bai (1991) linked its origin to acid precipitation – a fallout of burning oil‐fields during the Gulf War – whilst Khan (1993) holds local factor(s) responsible. Field/experimental studies support the latter contention that the influx of untreated sewage, in unison with warm temperatures, high levels of PhAR, iron and interruption to hydrological flow‐pattern together with absence/or reduction in grazing activity created conducive environmental milieu for red tide outbreak. Dal Lake “red tide” drifted the bloom‐inoculum to other waters, including Lake Wular, where additional ecological niches were carved out, threatening the aesthetic value and biological diversity of Kashmir lakes. Ecological monitoring indicates frequent seasonal red tide occurrence in Dal Lake (including summer‐autumn event of 1998) which testifies its unabated eutrophication status. Further studies are needed on ecological adaptability and biogeographic distribution of this rare and unique red tide‐causing flagellate.