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81.
This paper describes a stochastic analysis of steady state flow in a bounded, partially saturated heterogeneous porous medium subject to distributed infiltration. The presence of boundary conditions leads to non-uniformity in the mean unsaturated flow, which in turn causes non-stationarity in the statistics of velocity fields. Motivated by this, our aim is to investigate the impact of boundary conditions on the behavior of field-scale unsaturated flow. Within the framework of spectral theory based on Fourier–Stieltjes representations for the perturbed quantities, the general expressions for the pressure head variance, variance of log unsaturated hydraulic conductivity and variance of the specific discharge are presented in the wave number domain. Closed-form expressions are developed for the simplified case of statistical isotropy of the log hydraulic conductivity field with a constant soil pore-size distribution parameter. These expressions allow us to investigate the impact of the boundary conditions, namely the vertical infiltration from the soil surface and a prescribed pressure head at a certain depth below the soil surface. It is found that the boundary conditions are critical in predicting uncertainty in bounded unsaturated flow. Our analytical expression for the pressure head variance in a one-dimensional, heterogeneous flow domain, developed using a nonstationary spectral representation approach [Li S-G, McLaughlin D. A nonstationary spectral method for solving stochastic groundwater problems: unconditional analysis. Water Resour Res 1991;27(7):1589–605; Li S-G, McLaughlin D. Using the nonstationary spectral method to analyze flow through heterogeneous trending media. Water Resour Res 1995; 31(3):541–51], is precisely equivalent to the published result of Lu et al. [Lu Z, Zhang D. Analytical solutions to steady state unsaturated flow in layered, randomly heterogeneous soils via Kirchhoff transformation. Adv Water Resour 2004;27:775–84]. 相似文献
82.
83.
Tae-Woong Kim Hosung Ahn 《Stochastic Environmental Research and Risk Assessment (SERRA)》2009,23(3):367-376
Missing data in daily rainfall records are very common in water engineering practice. However, they must be replaced by proper
estimates to be reliably used in hydrologic models. Presented herein is an effort to develop a new spatial daily rainfall
model that is specifically intended to fill in gaps in a daily rainfall dataset. The proposed model is different from a convectional
daily rainfall generation scheme in that it takes advantage of concurrent measurements at the nearby sites to increase the
accuracy of estimation. The model is based on a two-step approach to handle the occurrence and the amount of daily rainfalls
separately. This study tested four neural network classifiers for a rainfall occurrence processor, and two regression techniques
for a rainfall amount processor. The test results revealed that a probabilistic neural network approach is preferred for determining
the occurrence of daily rainfalls, and a stepwise regression with a log-transformation is recommended for estimating daily
rainfall amounts. 相似文献
84.
Optimization models play an important role in long-term hydroelectric resources planning. The effectiveness of an optimization
model, however, depends on its capability of dealing with uncertainties. This study presents a multistage interval-stochastic
programming model for long-term hydropower planning, in which uncertainties are reflected as randomness and intervals. The
model is developed based on interval programming technique and recourse-based multistage stochastic programming and using
the expected value of long-term hydroelectric profit as the objective function. A solution method of the developed model is
also presented, which is based on a decomposition method by partitioning the multistage interval-stochastic program into two-stage
stochastic programming sub-problems in each scenario-tree node. A hypothetical case study is used to demonstrate the developed
model and its solution method. Modeling results demonstrates the computationally effectiveness of the solution method and
reveal the applicability of the developed model for long term planning of hydroelectric resources. 相似文献
85.
86.
It is fact that the severe ground motions of shear waves have a strong effect on the dynamic behavior of buildings and civil structures. We simulate near source strong motions of a pure shear wave and synthesize small motions, using the parameters based on the recorded accelerograms at the site that is regarded as a base rock in the Osaka basin, Japan. By making use of a stochastic technique, we can easily introduce higher frequency contents in the motions and apply the technique to the synthesis of small waves regarding as a green function. We also introduce to the analysis the useful relationships among the time duration Td, the seismic moment M0, the corner frequency fc and the high cutoff frequency fmax which were regressed by a simple representation scheme. Considering two active faults that may affect severe damage on buildings and civil structures, we try to predict strong ground motions in Osaka basin and show the characteristics of them. 相似文献
87.
M. Taylan 《Ocean Engineering》2000,27(9):1159
Many researchers have studied a wide range of nonlinear equations of motion describing a ship rolling in waves. In this study, a form of nonlinear equation governing the motion of a rolling ship subjected to synchronous beam waves is suggested and solved by the generalized Duffing's method in the frequency domain. Various representations of damping and restoring terms found in the literature are investigated and their solutions are analyzed by the above-mentioned method. Comparative results of nonlinear roll responses are obtained for four distinct vessel types at resonance conditions which constitute the worst situation. The results indicate the importance of roll damping and restoring, when constructing a nonlinear roll model. An inappropriate selection of damping and restoring terms may lead to serious discrepancies with reality, especially in peak roll amplitudes. 相似文献
88.
基于中国气象局公布的1961-2006年中国165个国际交换站无缺测的逐日平均气温资料,利用随机重排去趋势波动分析(S-DFA)方法,计算并分析了中国极端高温事件阈值的空间分布特征,并对S-DFA方法在实际资料中的应用进行了检验。从可预报性的角度给出了极端高温事件强度综合指标的定义。该综合指标将极端高温事件的发生频次和强度综合起来,兼顾不同地区各自特有的区域气候背景,进一步说明综合指标定义的合理性。基于极端高温事件综合指标的空间分布规律,将1961-2006年间中国极端高温事件分为4个不同等级的地区。极端高温事件综合指标在20世纪90年代初期之前一直保持平稳的波动变化,之后则一直处于上升之中,尤其是在90年代中后期开始迅速上升。 相似文献
89.
为研究外包钢-混凝土组合梁与钢管混凝土柱连接节点的抗震性能,基于外包钢-混凝土组合梁与钢管混凝土柱连接节点低周反复荷载作用下的试验结果和有限元的模拟,分析了两类试验节点的滞回特性,提出外包钢-混凝土组合梁与钢管混凝土柱连接节点的三折线恢复力模型及其特征参数的取值范围,并给出恢复力模型表达式。结果表明,试件具有良好的耗能能力,建立的恢复力模型骨架曲线与试验值接近;有限元与试验所得的滞回曲线及骨架曲线在弹性阶段吻合较好,随着荷载的反复,两者之间的差异逐渐增大。 相似文献
90.
地史过程中烃源岩有机质丰度和生烃潜力变化的模拟计算 总被引:17,自引:0,他引:17
在同时考察源岩中有机质因生、排烃而损失和无机质因成岩作用而失重的基础上,模拟计算了地史过程中,随有机质类型、初始有机质丰度、成熟度及排烃效率的改变,烃源岩有机质丰度和生烃潜力的变化,探讨了有机碳恢复系数及生烃潜力损失率的可能变化范围。结果表明,地史过程中,有机质生烃潜力和有机质丰度的变化主要取决于源岩的生、排烃效率,对性质偏差的有机质,有机质的实测丰度随演化程度的增高不降反升;而对位于高成熟阶段的优质有机质,有机碳的恢复系数可达2以上;随有机质类型变好和成熟度升高,生烃潜力损失率增高;一般情况下,有机质生烃潜力的恢复幅度比有机质丰度的恢复大得多。 相似文献