基于最小二乘配置法的优化GM（1,1）预测模型及其应用

针对灰色GM(1,1)预测模型预测结果精度低、模型缺乏稳定性的问题,基于最小二乘配置理论的GM（1,1)预测优化模型,首先通过使得生成序列新预测值的误差在最小二乘意义下最小,选取GM(1,1)模型的最优初值,利用指数函数法构造新的背景值;然后将优化的GM(1,1)模型和最小二乘配置理论有机结合,进一步对优化的GM(1,1)模型进行改进,构建优化的灰色最小二乘配置预测模型;最后通过对建筑物的沉降数据进行定量分析与预报,与其他模型进行对比分析。     

Polysaccharides in <Emphasis Type="Italic">Sipunculus nudus</Emphasis>: Extraction condition optimization and antioxidant activities

Marine organisms constitute unlimited resource of bioactive substances due to their high biodiversity and represent a valuable source of new compounds. This study optimized the alkali-extraction conditions and antioxidant activities of soluble polysaccharides from the body wall of Sipunculus nudus. The effects of solid-liquid ratio, extraction duration, extraction temperature, and alkali concentration on the yield of S. nudus polysaccharides (SNP) were examined, according to which the optimal combination of extraction parameters was obtained by an orthogonal test. The relative influencing importance of different extraction parameters on the yield of SNP followed the order as solid-liquid ratio > extraction temperature > alkali concentration > extraction duration. The highest extraction yield, 1.98%, was achieved under an optimal extraction condition: temperature 60°C, solid-liquid ratio 1:6 g mL^?1, duration 5 h, and alkali (NaOH) mass fraction 6%. The in vitro antioxidant activities examination showed that extracted SNP under this optimized condition had strong power in reducing certain hydroxyl and superoxide radical scavenging abilities. The promising results showed that extracted SNP could be a potent natural antioxidant.     

Stationary phase point extraction based on high-resolution radon transform and its application to multiple attenuation by wavefield extrapolation

Multiple prediction and subtraction techniques based on wavefield extrapolation are effective for suppressing multiple related to water layers.In the conventional wavefield extrapolation method, the multiples of the seismic data are predicted from the known total wave field by the Green function convoluted with each point of the bottom.However, only the energy near the stationary phase point has an effect on the summation result when the convolutional gathers are added.The research proposed a stationary phase point extraction method based on high-resolution radon transform.In the radon domain, the energy near the stationary phase point is directly added along the convolutional gathers curve, which is a valid solution to the problem of the unstable phase of the events of multiple.The Curvelet matching subtraction technique is used to remove the multiple, which improved the accuracy of the multiple predicted by the wavefield extrapolation and the artifacts appearing around the events of multiple are well eliminated.The validity and feasibility of the proposed method are verified by the theoretical and practical data example.     

西安地铁穿越地裂缝的抽水试验研究

查清地裂缝水文地质情况可以为西安地铁设计和施工提供科学依据。根据西安地铁勘察工作需要,2008年7月～9月选择地裂缝穿过的西安市劳动路小学院内场地首次尝试进行跨地裂缝水文地质专项现场试验。试验内容包括试坑渗水试验、钻孔注水和抽水试验,并以1号抽水井的稳定流抽水试验为典型,研究地裂缝对地下水渗流的影响。采用带1个观测孔的稳定流潜水完整井公式、带2个观测孔的稳定流潜水完整井公式以及潜水完整井水位恢复速度计算公式等3个渗透系数计算方法,得到了地表浅层土体沿地裂缝走向和垂直于地裂缝走向的渗透系数,分析了渗透系数的差异性;最后利用MADIS有限元软件模拟场地内建筑物对地基土施加应力,探讨了建筑物对场地土体的影响。结果表明:利用上述3个公式计算,都得到沿地裂缝方向土体的渗透系数比垂直地裂缝方向的土体稍大;在同一落程中,利用潜水完整井水位恢复速度公式计算得到的渗透系数最大,利用带2个观测孔的稳定流潜水完整井公式计算得到的渗透系数次之,利用带1个观测孔的稳定流潜水完整井公式计算得到的渗透系数最小,这主要是由井损造成的;建筑物对场地土体的影响主要集中在素填土层、黄土层和古土壤层,粉质黏土层以下影响则逐渐减弱,影响深度在18 m左右;由于建筑物长期对地裂缝上盘土体施加荷载,附加应力作用使地基土固结压密,导致地裂缝上盘土体的渗透系数较下盘小。     

长江流域实际蒸发量的变化趋势

采用经过参数率定的区域蒸散互补关系原理AA模型和全球海气耦合模式ECHAM5/MPI-OM估算长江流域1961-2007 年的实际蒸发量,运用线性回归法和非参数Mann-Kendall 秩次相关检验法对2 种方法估算的实际蒸发量进行年、年代际和季节变化特征分析与对比,揭示长江流域实际蒸发量的变化规律。结果表明：长江流域年实际蒸发量呈现显著的下降趋势,2种方法估算的结果分别以-9.3 mm/10a 和-3.6 mm/10a 的速度下降,从20 世纪90 年代开始实际蒸发量的下降幅度明显增大;在季节变化上,2 种方法估算的结果在春、秋季均呈现显著的下降趋势,在夏、冬季表现为相反的变化趋势;在空间差异上,流域各地区的变化趋势总体较一致,其中以中下游地区的变化趋势最为显著。     

Snow distribution from SSM/I and its relationships to the hydroclimatology of the Mackenzie River Basin,Canada

The spatial and temporal distribution of snow cover extent (SCE) and snow water equivalent (SWE) play vital roles in the hydrology of northern watersheds. We apply remotely sensed Special Sensor Microwave Imager (SSM/I) data from 1988 to 2007 to explore the relationships between snow distribution and the hydroclimatology of the Mackenzie River Basin (MRB) of Canada and its major sub-basins. The Environment Canada (EC) algorithm is adopted to retrieve the SWE from SSM/I data. Moderate Resolution Imaging Spectroradiometer (MODIS) 8-day maximum snow cover extent products (MOD10A2) are used to estimate the different thresholds of retrieved SWE from SSM/I to classify the land cover as snow or no snow for various sub-basins in the MRB. The sub-basins have varying topography and hence different thresholds that range from 10 mm to 30 mm SWE. The accuracy of snow cover mapping based on the combination of several thresholds for the different sub-basins reaches ≈ 90%. The northern basins are found to have stronger linear relationships between the date on which snow cover fraction (SCF) reaches 50% or when SWE reaches 50% and mean air temperatures, than the southern basins. Correlation coefficients between SCF, SWE, and hydroclimatological variables show the new SCF products from SSM/I perform better than SWE from SSM/I to analyze the relationships with the regional hydroclimatology. Statistical models relating SCF and SWE to runoff indicate that the SCF and SWE from EC algorithms are able to predict the discharge in the early snow ablation seasons in northern watersheds.     

自定心钢框架抗震性能研究进展

自定心(Self-Centering,SC)钢框架是一种新型的抗震结构体系。其中,预应力构件提供了结构在地震作用下的复位功能,角钢、摩擦件等构件则提供了耗能能力。主体结构在地震作用后可基本保持完好,并且无残余变形(或很小),附属构件的更换或修复也非常方便。介绍了自定心钢框架的构造和工作原理。节点试验、自定心抗弯钢框架(SC-MRF)、自定心中心支撑钢框架(SC-CBF)的动力试验结果表明,自定心钢框架具有良好的抗震性能和自复位能力,有望发展成为实用的结构形式。指出了自定心钢框架结构体系中需进一步研究的问题。     

粘性土剪切波速不确定性的统计分析

土体剪切波速具有显著的不确定性。基于全国地震安全性评价工作实测的粘性土的大量剪切波速数据,采用2χ检验方法研究了粘性土不同埋深的剪切波速的概率分布。依据所获得的概率分布,采用相应的统计方法给出了粘性土不同埋深的剪切波速的平均值、最大值、最小值、标准差和变异系数,并给出了95%参考值下限和上限,所获得的结果可用于检验场地剪切波速测试结果的可靠性和粗略估计无实测资料场地土的剪切波速。     

Uncertainty analysis in statistical modeling of extreme hydrological events

With the increase of both magnitude and frequency of hydrological extreme events such as drought and flooding, the significance of adequately modeling hydrological extreme events is fully recognized. Estimation of extreme rainfall/flood for various return periods is of prime importance for hydrological design or risk assessment. However, due to knowledge and data limitation, uncertainty involved in extrapolating beyond available data is huge. In this paper, different sources of uncertainty in statistical modeling of extreme hydrological events are studied in a systematic way. This is done by focusing on several key uncertainty sources using three different case studies. The chosen case studies highlight a number of projects where there have been questions regarding the uncertainty in extreme rainfall/flood estimation. The results show that the uncertainty originated from the methodology is the largest and could be >40% for a return period of 200 years, while the uncertainty caused by ignoring the dependence among multiple hydrological variables seems the smallest. In the end, it is highly recommended that uncertainty in modeling extreme hydrological events be fully recognized and incorporated into a formal hydrological extreme analysis.     

Experimental and modeling study on Cr(VI) transfer from soil into surface runoff

With the development of modern agriculture, large amount of fertilizer and pesticide outflow from farming land causes great waste and serious pollution to surface water and groundwater, and threatens ecological environment and even human life. In this paper, laboratory experiments are conducted to simulate adsorbed Cr(VI) transfer from soil into runoff. A two-layer in-mixing analytical model is applied to analyze laboratory experimental results. A data assimilation (DA) method via the ensemble Kalman filter (EnKF) is used to update parameters and improve modeling results. In comparison with the experimental data, DA updated modeling results are much better than those without the updating. To make predictions better, the inflation method with a constant inflation factor via DA method was used to compensate the fast decrease of ensemble spread partially related to filter inbreeding. Based on the used rainfall and relevant physical principles, the updated value of the incomplete mixing coefficient γ is about 14.0 times of the value of the incomplete mixing coefficient α in experiment 1 and about 7.4 times in experiment 2, while the difference between the flow rate of runoff and infiltration is not so large even after reaching stable infiltration condition. The results indicate the loss of Cr(VI) in soil solute is mainly due to infiltration, rather than surface runoff. With the increase of mixing layer depth, soil adsorption capacity will increase and the loss of soil solute will decrease. The study results provide information for reducing and even preventing the agricultural nonpoint source pollution.