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981.
关于晚新生代准1.2Ma周期构造气候旋回 总被引:8,自引:2,他引:6
构造气候旋回的理论要点是构造作用驱动气候变化,因而不同于Milankovitch冰期气候旋回,但两者又都是受地球轨道要素控制的。本文主要根据青藏高原和黄土高原的晚新生代地质记录,以磁性地层为时间标尺,以黄道倾斜(ε)最大变幅位置为模式年龄,划分最近8Ma的准1.2Ma周期构造气候旋回的主旋回层,即MTC7、MTC6、MTC5、MTC4、MTC3、MTC2、MTC1、MTC0,它们的界线年龄分别为7.3、6.1、4.9、3.7、2.5、1.3和0.2MaBP。在此基础上,分析了青藏高原构造隆升和黄土高原风尘沉积各自显示的准1.2Ma周期的演变特征,表明它们之间具有构造驱动气候的因果关系。文中还探讨了最近7.3MaBP的古环境变迁,获得了有关晚新生代东亚季风形成演变和环境分异是在轨道气候旋回背景下受构造气候旋回控制的新认识。 相似文献
982.
An exact analytical method is described to solve the diffraction problem of a group of truncated vertical cylinders. In order to account for the interaction between the cylinders, Kagemoto and Yue's exact algebraic method is utilised. The isolated cylinder diffraction potential due to incident waves is obtained using Garret's solution and evanescent mode solutions are derived in a similar manner.Numerical results are presented for arrays of two and four cylinders. Comparisons between the results obtained from the method presented here and those obtained from numerical methods show excellent agreement. 相似文献
983.
984.
雷诺数对藻类垂向分布特性的影响 总被引:1,自引:1,他引:0
为研究紊流水体中藻类的垂向分布特性,依据三峡水库次级河流回水段的水动力状况,自行设计了水流实验装置,选取次级河流回水区水华高发时段的气候状况和营养盐水平为实验条件,研究了雷诺数对蓝藻、绿藻和硅藻垂向分布的影响以及雷诺数对不同水深处藻类的悬浮和聚集行为的作用.研究结果表明:在水温为20℃、光照强度为5000 lx的富营养水体中,当断面平均流速在0~0.005 m/s、雷诺数在0~1750时,蓝藻主要悬浮聚集在0.2~0.8 m的表层水体中;而当断面平均流速在0.1~0.5 m/s、雷诺数在35000~175000时,硅藻主要悬浮聚集在0.2~0.8 m的表层水体中;与蓝藻和硅藻相比,绿藻适宜的雷诺数范围更宽,当断面平均流速在0~0.05 m/s、雷诺数在0~17500时,绝大部分的绿藻都能悬浮聚集在0.2~0.8 m的表层水体中. 相似文献
985.
在地震孕育发生过程中,不同频率地电场观测出现异常现象已有相关报道,但地电场不同频率成分与地震震级(能量)的相关性统计特征仍不清晰。文章基于小波变换对都兰台地电场观测资料进行分析处理,使用滑动相关性方法对地电场不同频率成分与台站周围400km范围内地震事件进行分析研究,并以青海玛多MS7.4地震前后大地电场优势方位角计算结果进行回溯性检验。结果表明:(1)都兰地电场不同频率成分不仅在地震孕育发生过程中会出现异常现象,而且出现异常的频率与地震事件震级(能量)存在一定关联性:高频成分(3.4h和8h)与■及■两个地震序列的地震事件均有关联性,其中与■在震前约25(±5)天、10天和5天相关性异常显著,与■在震前约55天、35天、15天和5天相关性异常显著,而低频成分(24h)则仅与■地震序列中的地震事件在约55、35、20及5天左右出现较强的相关性;(2)玛多MS7.4地震前,都兰地电场低频成分(24h)的大地电场优势方位角在地震前约55(±5)、20(±5)天左右出现明显异常现象,其出现的时间与相关性统计特征具有较高的一致性,原因可能是孕震断层与... 相似文献
986.
野外调查表明,沼泽-湿地相地层在黄土高原西部广泛分布,测年结果表明该地层形成于9~3.8 kaBP.该地层有机质含量很高,指示区域普遍湿润;粒度记录表明9~3.8 kaBP 冬季风较弱.孢粉记录表明,9~3.8 kaBP 黄土高原西部植被繁茂,孢粉组成中乔灌木成分的含量最高可达80%以上.水生-湿生类型的蜗牛在9~3.8 kaBP大量出现, 其总体积约占该时段地层体积的25%,也指示区域普遍湿润;3.8 kaBP以后气候总体趋向干旱.可能的机制是(1)65°N 的太阳辐射在9~8 kaBP达到峰值,巨大的海陆热力差异使季风迅速强盛;(2)在6 kaBP前后北半球夏季辐射增强,加强了东亚季风的水汽输送;(3)全新世中期良好的植被的正反馈加强了夏季风;(4)长尺度的厄尔尼诺活动在全新世中期较弱,对东亚季风有加强作用. 相似文献
987.
988.
Paul?KinsvaterEmail authorView authors OrcID profile Roland?Fried 《Stochastic Environmental Research and Risk Assessment (SERRA)》2017,31(5):1155-1169
This article deals with the right-tail behavior of a response distribution \(F_Y\) conditional on a regressor vector \({\mathbf {X}}={\mathbf {x}}\) restricted to the heavy-tailed case of Pareto-type conditional distributions \(F_Y(y|\ {\mathbf {x}})=P(Y\le y|\ {\mathbf {X}}={\mathbf {x}})\), with heaviness of the right tail characterized by the conditional extreme value index \(\gamma ({\mathbf {x}})>0\). We particularly focus on testing the hypothesis \({\mathscr {H}}_{0,tail}:\ \gamma ({\mathbf {x}})=\gamma _0\) of constant tail behavior for some \(\gamma _0>0\) and all possible \({\mathbf {x}}\). When considering \({\mathbf {x}}\) as a time index, the term trend analysis is commonly used. In the recent past several such trend analyses in extreme value data have been published, mostly focusing on time-varying modeling of location or scale parameters of the response distribution. In many such environmental studies a simple test against trend based on Kendall’s tau statistic is applied. This test is powerful when the center of the conditional distribution \(F_Y(y|{\mathbf {x}})\) changes monotonically in \({\mathbf {x}}\), for instance, in a simple location model \(\mu ({\mathbf {x}})=\mu _0+x\cdot \mu _1\), \({\mathbf {x}}=(1,x)'\), but the test is rather insensitive against monotonic tail behavior, say, \(\gamma ({\mathbf {x}})=\eta _0+x\cdot \eta _1\). This has to be considered, since for many environmental applications the main interest is on the tail rather than the center of a distribution. Our work is motivated by this problem and it is our goal to demonstrate the opportunities and the limits of detecting and estimating non-constant conditional heavy-tail behavior with regard to applications from hydrology. We present and compare four different procedures by simulations and illustrate our findings on real data from hydrology: weekly maxima of hourly precipitation from France and monthly maximal river flows from Germany. 相似文献
989.
Fasheng?Miao Yiping?WuEmail author Yuanhua?Xie Feng?Yu Lijuan?Peng 《Stochastic Environmental Research and Risk Assessment (SERRA)》2017,31(7):1683-1696
To the progressive landslide, development of the internal deformation and failure situation can’t be accurately reflected by the overall stability of coefficients and failure probability. But this problem can be solved by utilizing the principle of progressive failure by slices. Taking the warning area of Baishuihe landslide as an example, 5 days accumulated rainfall in different reappearing period is computed by Gumbel model. The failure probability of each slice is calculated by progressive failure principle, which is based on Monte Carlo model. The following results can be revealed through calculation: Overall stability and failure probability can’t reflect real situation of Baishuihe landslide warning area. Through building the calculation of progressive failure model of each slice, the stability of each part in the Baishuihe landslide warning area is quite different. Unstable region mainly lies in vicinity of the middle and posterior warning area. The front of the warning area remains stable. Deformation characteristics of the warning area are consistent with the investigation report. The scope of unstable area increased gradually with rainfall and the decline of reservoir water. Under 5 day’s accumulated rainfall of 50 years, the poor stable and unstable region reached 75 %, there is a large possibility of local deformation slip. Under the joint action of rainfall and reservoir water level, the warning area of Baishuihe landslide shows a progressive failure mode from top to bottom. 相似文献
990.
Daisy?Arroyo Xavier?EmeryEmail author 《Stochastic Environmental Research and Risk Assessment (SERRA)》2017,31(7):1583-1592
This paper addresses the problem of simulating multivariate random fields with stationary Gaussian increments in a d-dimensional Euclidean space. To this end, one considers a spectral turning-bands algorithm, in which the simulated field is a mixture of basic random fields made of weighted cosine waves associated with random frequencies and random phases. The weights depend on the spectral density of the direct and cross variogram matrices of the desired random field for the specified frequencies. The algorithm is applied to synthetic examples corresponding to different spatial correlation models. The properties of these models and of the algorithm are discussed, highlighting its computational efficiency, accuracy and versatility. 相似文献