TEMPORAL CHANGES IN THE YADKIN RIVER FLOW VERSUS SUSPENDED SEDIMENT CONCENTRATION RELATIONSHIP1

ABSTRACT: Dynamic linear models (DLM) and seasonal trend decomposition (STL) using local regression, or LOESS, were used to analyze the 50‐year time series of suspended sediment concentrations for the Yadkin River, measured at the U.S. Geological Survey station at Yadkin College, North Carolina. A DLM with constant trend, seasonality, and a log₁₀ streamflow regressor provided the best model to predict monthly mean log₁₀ suspended sediment concentrations, based on the forecast log likelihood. Using DLM, there was evidence (odds approximately 69:1) that the log₁₀ streamflow versus log₁₀ suspended sediment concentration relationship has changed, with an approximate 20 percent increase in the log₁₀ streamflow coefficient over the period 1981 to 1996. However, sediment concentrations in the Yadkin River have decreased during the decade of the 1990s, which has been accompanied by a concomitant increase in streamflow variability. Although STL has been shown to be a versatile trend analysis technique, DLM is shown to be more suitable for discovery and inference of structural changes (trends) in the model coefficient describing the relationship between flow and sediment concentration.     

红外和热分析联用在化工产品研究中的应用

运用实例论述了红外光谱分析与热分析联用在化工产品的产品开发和检测方面的应用。     

Discriminate Analysis for Dust Storm Prediction in the Gobi and Steppe Regions in Mongolia

A discriminate analysis method for probability forecast of dust storms in Mongolia has been developed. The prediction method uses data recorded at 23 meteorological stations in the Gobi and steppe regions of Mongolia, including surface air pressure and geo-potential height at the 500-hPa level on grid points, and weather maps from 1975 to 1990. Weather elements such as air temperature, pressure, geo-potential height etc, which influence the formation of dust storms, are prepared as predictors. To select the most informative/important predictors (variables), we used a mean correlation matrix of variables together with the Mahalonobis distance, and correlation coefficients between dust storms and predictors with an orthogonalization for removing correlated predictors. The most informative predictors for dust storm prediction are intensities of surface cyclones and migratory anticyclones, passage of cold fronts, the horizontal gradients of the surface air pressure in the cold frontal zone, cyclonic circulations from the ground surface up to the 500-hPa level, the geo-potential height at 500-hPa level and its temporal changes. Selected predictors are used in discriminate analysis for formulating dust storm prediction equations. Sandstorm data have been classified into three classes, viz., strong, moderate and weak dust storms, depending on their intensities, durations and areas covered. Predictions of the probabilities of dust storm occurrence use the prediction equations for each class. The prediction is made from 12 hours to 36 hours. Verification of the probability forecasts of dust storms is also shown. The accuracy of forecasts is 72.2–79.9% with the data used for developing equations (dependent variables), in contrast to 67.1–72.0% with unrelated data for deriving equations (independent variables).     

Estimating the Recreational-Use Value for Hiking in Bellenden Ker National Park, Australia

The recreational-use value of hiking in the Bellenden Ker National Park, Australia has been estimated using a zonal travel cost model. Multiple destination visitors have been accounted for by converting visitors’ own ordinal ranking of the various sites visited to numerical weights, using an expected-value approach. The value of hiking and camping in this national park was found to be $AUS 250,825 per year, or $AUS 144,45 per visitor per year, which is similar to findings from other studies valuing recreational benefits. The management of the park can use these estimates when considering the introduction of a system of user pays fees. In addition, they might be important when decisions need to be made about the allocation of resources for maintenance or upgrade of tracks and facilities.     

Life cycle energy impacts of automotive liftgate inner

This paper compares the life cycle energy use of a cast-aluminum, rear liftgate inner and a conventional, stamped steel liftgate inner used in a minivan. Using the best available aggregate life cycle inventory data and a simple spreadsheet-level analysis, energy comparisons were made at both the single-vehicle and vehicle-fleet levels. Since the product manufacture and use are distributed over long periods of time that, in a fleet, are not simple linear combinations of single product life cycles. Thus, it is all the products in use over a period of time, rather than a single product, that are more appropriate for the life cycle analysis. Using a set of consistent data, analyses also examine sensitivity to the level of analysis and the assumptions to determine the most favorable materials with respect to life cycle energy benefits.As expected, life cycle energy impacts of aluminum are lower than steel at a single-vehicle level – energy savings are determined to be 1.8 GJ/vehicle. Most energy savings occur at the vehicle operation phase due to improved fuel economy from lightweighting. The energy benefits are realized only very close to the average vehicle life of 14 years. With the incremental growth of the vehicle fleet, it takes longer – about 21 years – for aluminum to achieve life cycle equivalence with steel. The number of years aluminum needs to achieve equivalence with steel was found to be quite sensitive to aluminum manufacturing energy and fuel economy. As the steel industry races to compete with other materials for automotive lightweighting, a systems approach, instead of part-to-part comparison, is more appropriate in the determination of viability of aluminum substitution from an energy perspective.     

考虑应变速率影响的混凝土重力坝非线性地震响应分析

通过引入应变速率、损伤变量以及刚度退化指标等参数,建立了应变率相关的混凝土弹塑性损伤模型。运用该模型对某重力坝厂房坝段分别就率相关及率无关两种情况进行了三维非线性地震响应时程分析。深入研究了混凝土应变速率等相关特性对结构动力响应的影响。结果表明,应变速率对混凝土的力学性能有一定的影响,随着应变速率的增加,坝体结构的变形减小,主拉应力有所提高,应变能有所减小以及开裂损伤有一定的降低。所得结论对混凝土重力坝的震害研究有一定的参考价值。     

拉索预应力空间网格结构的索张力计算及张拉全过程分析

实际工程中,对于拉索预应力空间网格结构的索张拉是一个需要反复调整的繁琐过程。对此,提出了一种针对多阶段多批次张拉施工全过程分析的计算方法,用以提高索张拉施工的效率。该法通过不断减小拉索实际张力与目标张力的差值来求解各索在张拉过程中应该产生的初始应变,最后只要利用计算结果并按照预定的顺序张拉,便可使所有索只经过一次张拉就能最终达到各自的目标张力值。对一个150 m跨度的拉索预应力球面巨型网格结构进行了计算,并利用计算结果,对结构的杆件内力和最大节点位移进行了张拉全过程跟踪分析。结果表明,在实际工程中采用上述方法进行计算与张拉是切实可行的,另外,在张拉过程中进行跟踪分析十分必要。     

基于渗流-应力耦合分析的野鸡尾尾矿坝稳定性研究

基于渗流场与应力场耦合机理,对柿竹园野鸡尾尾矿坝进行稳定性研究。研究渗流-应力的耦合效应,提出了渗流-应力耦合以及渗流体积力计算的实施方案;建立二维的有限元渗流-应力耦合计算模型,分析了考虑耦合效应时的尾矿坝渗流场、位移场、应力场;最终分析了不同耦合关系对于渗流量、位移场、等效渗透集中力以及应力场的影响。研究结果表明:当前水力条件下,尾矿坝稳定性良好;尾矿坝主要受水平渗透力作用,初期坝坝顶、坝脚以及坝底等处应力集中;尾矿坝的渗流-应力作用不容忽视,不同的耦合关系对于x方向位移、渗透力的预测影响巨大;考虑渗流-应力耦合关系得到的主应力、剪应力以及竖向位移,比不考虑耦合效应时大。     

BPA暴露对本体和子代胰岛β细胞转录组差异对比分析

双酚A(BPA)作为一种典型的环境内分泌干扰物,与二型糖尿病和肥胖症等代谢类疾病密切相关.在这项研究中,旨在探讨BPA直接暴露以及围产期暴露对本体和子代胰岛β细胞影响的差异,从而实现对不同易感人群的精准预防与治疗.通过对GEO数据库中GSE126297和GSE82175两个数据集进行分析,共筛选出108个共有的差异基因...     

基于几何参数的优化对双层柱面网壳结构动力性能的影响

以双层柱面网壳为研究对象,采用参数化设计语言APDL对AN SY S进行二次开发,实现了任意跨度双层柱面网壳的自动建模、加载、施加约束及求解。借此平台对柱面网壳结构进行模态和地震反应分析。首先,分析了结构自振特性随几何参数变化的特点,研究了结构的基频随矢跨比和网壳厚度的变化规律,结果表明,当矢跨比在1/3.6~1/5该范围内,结构的整体刚度较大;网壳厚度在1.8~2.1 m时,网壳整体刚度较大;对于矢跨比一定的网壳,随着厚度的增加,杆件的动内力大多增加,横向弦杆的二维与单维动内力比值有所增加,而纵向弦杆的二维与单维动内力则变化不大。然后,对网壳进行不同几何参数下的地震反应分析,给出了最大节点位移和最大杆件轴应力随几何参数变化的时程响应曲线,揭示了这类网壳的地震反应特点。