四阶△－∑过抽样电路原理及其在微弱地学信号检测中的应用

传统的测量电路无法解决诸如海底大地电磁场这样微弱地学信号的检测问题。近几年诞生了一种称之为△-∑的电路理论以及相应的硬件芯片，给微伏级的弱信号检测开辟一条新的技术路径。文章介绍与地学探测有关的一种△-∑电路类型，该类型以低频段微弱信号为检测对象。采用系统理论和电路分析方法对△-∑原理作了较深入的讨论，阐明这种电路技术对提高微弱信号观测的分辨率是有效的。结合海底大地电磁探测中的信号采集问题，介绍了在仪器中把多路的被测模拟量变为数字量的技术过程。经对实际采集的海底信息的频谱曲线进行分析，证实所采用的△-∑技术以及多路信号采集的电路方案是合理的。     

纤维素接枝丙烯酰胺/高岭土高吸水性复合材料研究

在高岭土的存在下，以N，N－亚甲基双丙烯酰胺作交联剂，以硝酸铈铵为引发剂微晶纤维素与丙烯酰胺进行接枝共聚反应，合成接枝纤维素／高岭土高吸水性复合材料。研究了纤维素与单体的配比、高岭土添加量、交联剂用量、引发剂用量及反应温度对吸水率的影响。用红外光谱表征复合材料的结构，用电子显微镜观察复合材料的表面与界面。结果表明，高岭土在接枝聚合物中能较好分散，复合材料吸水率达1166，对生理盐水溶液的吸水率达86。     

深海热泉生物——人类的基因资源宝库

广泛存在于大洋之中的深海热泉生物群落依靠化学自营维持生存与繁衍，构成了独特的生态系统，是对光合作用生态系统理论的一个挑战和补充，在生物学上有着重要的研究意义，对于揭示生命的起源与拓展生命的生存空间有着重要的学术价值，而且还孕育着广泛而重要的应用价值和商业前景，具体体现在新型医药开发、基因疗法、工业应用以及环境保护等方面。深海热泉生物将是人类最重要的基因资源宝库。     

A multi-scale study on land use and land cover quality change: The case of the Yellow River Delta in China

This paper presents a case study of the Yellow River Delta in China, to trace land use and land cover changes during the past 20 years, with an emphasis on land quality changes. Three sets of data are used in this case study: remote sensing data derived from satellite images; crop yield data from statistics; and soil data collected by the researchers in the field. Our study reveals that at the regional scale, LUCC has taken place in a positive direction: vegetation cover has been expanding and crop yields per hectare have been on rise. However, while the overall eco-environment has improved, the improvement is uneven across the Delta region. At local levels, some areas show signs of increased salinization and declining organic content. Both natural forces and human activities are responsible for the LUCC, but human activities play a more important role. While some impacts of human activities are positive, the damages are often long-lasting and irreversible. We also conclude that it is necessary to use both macro data (such as remote sensing data) and micro data (data collected in the field) to study land quality change. The former are efficient in examining land quality changes at the regional scale, the latter can serve to verify ground patterns revealed from macro data and help to identify local variations, so as to get a comprehensive understanding of LUCC and promote sustainable land use and land management. This revised version was published online in July 2006 with corrections to the Cover Date.     

Combination of Dependent Realizations Within the Gradual Deformation Method

Gradual deformation is a parameterization method that reduces considerably the unknown parameter space of stochastic models. This method can be used in an iterative optimization procedure for constraining stochastic simulations to data that are complex, nonanalytical functions of the simulated variables. This method is based on the fact that linear combinations of multi-Gaussian random functions remain multi-Gaussian random functions. During the past few years, we developed the gradual deformation method by combining independent realizations. This paper investigates another alternative: the combination of dependent realizations. One of our motivations for combining dependent realizations was to improve the numerical stability of the gradual deformation method. Because of limitations both in the size of simulation grids and in the precision of simulation algorithms, numerical realizations of a stochastic model are never perfectly independent. It was shown that the accumulation of very small dependence between realizations might result in significant structural drift from the initial stochastic model. From the combination of random functions whose covariance and cross-covariance are proportional to each other, we derived a new formulation of the gradual deformation method that can explicitly take into account the numerical dependence between realizations. This new formulation allows us to reduce the structural deterioration during the iterative optimization. The problem of combining dependent realizations also arises when deforming conditional realizations of a stochastic model. As opposed to the combination of independent realizations, combining conditional realizations avoids the additional conditioning step during the optimization process. However, this procedure is limited to global deformations with fixed structural parameters.     

Factorial and indicator kriging methods using a geographic information system to delineate spatial variation and pollution sources of soil heavy metals

This study uses factorial and indicator kriging methods with a geographic information system (GIS), to overlay and delineate the variation and pollution sources of soil heavy metals in fields in the north of Changhua County, Taiwan. Accordingly, the spatial variation and pollution probability patterns of soil cadmium, chromium and copper are estimated to support further environmental monitoring, remediation and planning. The overlay maps of industrial plants, irrigation channels and kriging estimates, constitute a GIS. This reveals that the short- and long-range variations and soil pollution by Cd, Cr and Cu strongly corresponded to the locations of irrigation systems and industrial plants in the area of study. The maps also verify most locations of suspected pollution sources from the GIS database. Moreover, the probability spatial patterns estimated by indicator kriging, based on the pollution thresholds of Cd, Cr and Cu, were also highly correlated with irrigation channels and industrial plants. The GIS, with factorial and indicator kriging under different combinations of variations and pollution probabilities of soil Cd, Cr and Cu, provide alternative scenarios for delineating the areas that contain high variation and high pollution probability of these heavy metals, to enable decision makers to identify pollution sources, and to further investigate and remedy soil pollution.     

Dissolved and particulate trace metals and their partitioning in a hypoxic estuary: The Tanshui Estuary in Northern Taiwan

The distribution and partitioning of trace metals (Co, Cu, Fe, Mn, Ni, and Zn) between dissolved and particulate phases were studied in the Tanshui Estuary. The upper reach of the estuary is hypoxic and heavily polluted due to domestic and industrial discharges. The concentration ranges of dissolved and leachable particulate trace metals in the Tanshui Estuary were: Co: 0.3–6.1 nM, 1.8–18.6 mg kg⁻¹; Cu: 5–53 nM, 22–500 mg kg⁻¹; Fe: 388–3,364 nM, 1.08–6.67%; Mn: 57–2,914 nM, 209–1,169 mg kg⁻¹; Ni: 7–310 nM, 6–108 mg kg⁻¹; and Zn: 12–176 nM, 62–1,316 mg kg⁻¹; respectively. The dissolved concentrations of the metals were 2–35 times higher than the average values of the world river water. The distributions of dissolved and particulate studied metals, except Mn, in the estuary showed scattering, which could be attributed to the discharges from many industrial wastewater disposal works located in the upper tributaries. The daily input of dissolved metals from the disposal works to the Tanshui Estuary ranged from 0.1–0.4 tons. Dissolved Mn was nearly conservative in the region with salinity higher than 10 psu, while particulate Mn decreased in the region with salinity of 10–15 psu. The concentration increased significantly seawards, corresponding with the distribution of dissolved oxygen. The distribution coefficient (K_D) for Mn in the lower estuary was nearly three orders of magnitude higher than in the upper estuary. This phenomenon may be attributed to the diffusion of Mn from the anoxic sediment in the upper estuary and gradual oxidation into particulate Mn in the middle and lower estuary as the estuarine water became more oxygenated. The distribution coefficient for Cu decreased with increasing salinity. The percentages of trace metals bound by suspended particulate matter decreased in the following order: Fe>Zn, Cu>Co>Mn>Ni.     

螺旋CT三维重建在骨盆骨折中的应用

目的：探讨用螺旋CT三维重建评价骨盆骨折的临床应用价值。方法：收集骨盆骨折17例，采用螺旋CT三维重建检查。结果：17例检查均取得清晰立体图像，且可消除某一骨性结构，单独观察骨盆某一组成骨的骨折情况。结论：螺旋CT三维重建在骨盆骨折的诊断、手术方案的设计及教学等有较高价值。     

扩频通信技术及其在地震台风中的应用试验

扩频通信技术是基于信息容量和信息传输差错概率理论而建立的先进的无线通讯方式、多次野外实地证实它具有抗干扰性强、可实现码分多址等优点。通过分析传输试验数据，我们有理由相信扩频通信技术在遥测地震台风中具有较高的应用和广阔的发展前景。     

辽宁省数字化地震前兆数据库的建立

地震前兆数据一直是地震分析预报必不可少的重要数据资源。随着辽宁省地震前兆台站数字化技术改造的开展，地震前兆模拟记录将逐步被数字化记录所取代。我们结合数字化技术改造的实际情况，采用先进的网络关系数据库模型构造了辽宁省数字地震前兆数据库。该数据库直接面向整个地震系统，为地震预报提供详实的数据服务和先进的研究手段。本文对数据库系统、数据库总体设计及数据共享服务也进行了深入研究和讨论。