改进灰色模型对路基沉降预测的应用研究

讨论了灰色系统理论在路基沉降预测中的应用 ,并对等间隔的灰色模型GM(1,1)进行了改进 ,建立了任意间隔的非时序改进灰色模型。通过具体工程实践 ,给出了两种模型对路基沉降量预测结果与实测结果的比较 ,表明改进灰色模型的预测沉降量与实际沉降量更接近 ,精度更高 ,更能满足工程需要     

试论财会档案在企业经营管理中的作用

财会档案是企业生产经营活动中形成的原始记录,科学地系统分析、研究和利用这些珍贵的数据材料,是完善企业运行机制,在激烈的竞争中求生存发展的重要保证。它可清楚地反映企业立项投资决策的成效、领导人的廉洁程度,利用这些资料可明确企业生产经济活动中的职责;并为企业经营管理方案的改革和完善提供可靠的依据,同时成为企业经营管理教育的生动素材。因此财会档案是企业的重要资源。     

The Characteristics of Seismic Activity Before the Devastating Earthquake with M_W9.0 Off the West Coast of Northern Sumatra

INTRODUCTIONMeasured bythe China Earthquake Networks Center ,a great earthquake withMS8·7 occurred offthe west coast of Northern Sumatra at Beijing Time 08 :58 :55·2 on December 26 , 2004·Themagnitude of the earthquake determined by the National Earthquake Information Center of USA(NEIC) wasMW9·0 .The earthquakeisthe biggestinthe world afterthe 1964 Prince WilliamSound,Alaska earthquake .The tsunami triggered bythe Sumatra earthquake brought about severe devastationfor ten …     

基于GIS降水空间分析的逐步插值方法

根据长江中上游697个气象观测站1971—2000年30年降水资料,利用逐步回归方法和地理信息技术(GIS),建立了平均季降水和年降水与4km分辨率的DEM、坡向、坡度等地形数据的回归方程,并通过了信度为0.05的F检验,将降水量中地形影响部分分离出来。在此基础上,发展了逐步插值方法(SIA),并与GIS技术和多元逐步回归方法结合,显著提高了年、季降水空间分布的计算精度。结果表明:SIA季节降水空间分布的相对误差为6.86%,绝对误差为13.07mm,平均变差系数为0.070,平均相关系数为0.9675;年降水量的绝对误差为72.1mm,相对误差为7.34%,平均变差系数为0.092,相关系数达到了0.9605。对SIA年平均降水量的分析表明,采用3—5步的SIA计算,就可以显著提高计算精度,绝对误差由211.0mm下降到62.4mm,相对误差由20.74%下降到5.97%,变差系数从0.2312下降到0.0761,相关系数由0.5467提高到0.9619,SIA方法50步的计算表明,SIA计算的结果一致收敛于观测值。     

Effects of pH and Ca competition on complexation of cadmium by fulvic acids and by natural organic ligands from a river and a lake

The technique of competitive ligand-exchange/anodic stripping voltammetry (CLE-SV) was used to investigate effects of pH and Ca concentration on cadmium complexation by fulvic acid (FA), as well as Cd speciation in two different freshwaters, a hardwater Lake Greifen and a softwater River Wyre. Binding of Cd to Suwannee river FA (10 mg/l) was determined at different pH (7–8.5) and in the presence of various concentration of Ca²⁺ (0–2 mmol/l). The results from one-ligand discrete models were compared to simulations by the WHAM VI model. In Lake Greifen, the determined dissolved [Cd²⁺] ranged from 10⁻¹³ to 10⁻¹² mol/l, and the conditional stability constant with natural ligands was log K _CdL about 9.5–10.5 (pH 8.6–8.8) with ligand concentrations of 1.2–7.8 × 10⁻⁶ mol/g C. In the softwater River Wyre, dissolved [Cd²⁺] ranged from 4 × 10⁻¹² to 1 × 10⁻¹¹ mol/l, and the ligands were weaker (log K _CdL 8.9–9.8, pH 8.0) with lower ligand concentrations (0.9–2.3 × 10⁻⁶ mol/g C). The titration curves of FA samples were close to the simulated curves by the WHAM VI model at pH 8.0–8.5, but deviated more from the model at lower pH, indicating that the results determined with CLE-SV for Cd-FA complexation are relevant to the data base in the model. Calculation of the Ca competition for Cd binding by FA showed a competition effect of similar strength as the measured one, but indicated a systematic difference between measured and modeled data at pH 7.5. Using the WHAM model for comparison with FA, the complexation of Cd by the River Wyre ligands was close to that of FA, whereas stronger complexation was observed in the Lake Greifen water. These differences may originate from different ligand composition in the lake and the river.     

基于奇异值分解和小波阈值方法的地震资料处理方法

奇异值分解是一种基于代数特征值的提取方法,小波变换是一种时间频率域的去噪方法,两者在去噪方面各有特点。将奇异值分解和小波阈值去噪的方法有机地结合起来,用于消除地震勘探资料中的随机噪声。仿真实验显示对于较低信噪比资料仍有很好的处理效果。     

Wiener滤波器在小波变换域的应用

对于任意信号,在MSE意义上最优的信号估计是Wiener滤波器。小波变换在时域和频域上同时具有局部化特征,在信号处理中得到了广泛应用。论证了小波域上Wiener滤波器的设计,提出了应用的方法。     

"WDC中国地震数据中心建设与完善"项目成果介绍

本文详细介绍了“WDC中国地震数据中心建设与完善”项目的立项背景、目标、所开展的主要工作、取得的成果、研究成果的社会效益和对该领域研究未来工作的展望。     

论玄武岩金矿的地质特征

滇黔桂金三角区内一些产于峨眉山玄武岩组(含底部大厂层)和龙潭组内的金矿,其含矿岩性主要是玄武熔岩、凝灰岩和含凝灰质、碳质的粉砂岩、页岩．一些学者将它们都归入“卡林型金矿”．但因为地幔柱成因的玄武岩,自有其独立的成矿系列,包含Cu、Fe、Mn、Au、Pt、Pd、Co、Pb、Zn、Sb、CaF2、FeS2等多种矿产,在不同地区,其矿化各有侧重．可以看到金的矿集区都在铜的矿集区之南,且以玄武岩喷溢早期(大厂层)更富金,应命名为玄武岩金矿．晚期(龙潭组)更富铜为特色(玄武岩铜矿)．在共同具备含金(P2β2-1)、含铜(P21)有利地层与有利构造区内,发现卡林型金矿后,应着重探索玄武岩金矿,反之亦然．     

遗传神经网络法在巷道围岩松动圈预测中的应用

针对BP人工神经网络具有易陷入局部极小等缺陷,提出了将遗传算法与神经网络结合,同时优化网络结构的权值与阈值的思想,建立了基于遗传算法的围岩松动圈预测的神经网络模型。用该模型对巷道围岩松动圈厚度进行了预测并与BP预测结果相比较。结果表明,该遗传神经网络模型可靠,预测精度高,用来对围岩松动圈厚度进行预测是有效的和可行的。