全文获取类型
收费全文 | 2939篇 |
免费 | 531篇 |
国内免费 | 857篇 |
专业分类
测绘学 | 574篇 |
大气科学 | 381篇 |
地球物理 | 426篇 |
地质学 | 2093篇 |
海洋学 | 192篇 |
天文学 | 24篇 |
综合类 | 245篇 |
自然地理 | 392篇 |
出版年
2024年 | 14篇 |
2023年 | 38篇 |
2022年 | 113篇 |
2021年 | 140篇 |
2020年 | 120篇 |
2019年 | 148篇 |
2018年 | 118篇 |
2017年 | 165篇 |
2016年 | 144篇 |
2015年 | 157篇 |
2014年 | 179篇 |
2013年 | 240篇 |
2012年 | 243篇 |
2011年 | 170篇 |
2010年 | 175篇 |
2009年 | 187篇 |
2008年 | 139篇 |
2007年 | 212篇 |
2006年 | 219篇 |
2005年 | 176篇 |
2004年 | 166篇 |
2003年 | 123篇 |
2002年 | 103篇 |
2001年 | 112篇 |
2000年 | 98篇 |
1999年 | 78篇 |
1998年 | 78篇 |
1997年 | 108篇 |
1996年 | 69篇 |
1995年 | 46篇 |
1994年 | 65篇 |
1993年 | 36篇 |
1992年 | 31篇 |
1991年 | 31篇 |
1990年 | 23篇 |
1989年 | 14篇 |
1988年 | 15篇 |
1987年 | 16篇 |
1986年 | 9篇 |
1985年 | 3篇 |
1984年 | 2篇 |
1983年 | 1篇 |
1982年 | 1篇 |
1980年 | 1篇 |
1971年 | 1篇 |
排序方式: 共有4327条查询结果,搜索用时 62 毫秒
61.
钙贝塔石发现于四川西昌的霓辉石-钠铁闪石脉中,与之共生的矿物是霓辉石,钠铁闪石,钠长石,铈磷灰石,硅钛铈矿,沥青铀矿,重晶石,方解石和彩钼铅矿等。钙贝塔石呈黑色,黑褐色,具八面体晶形,大小为2mm~8mm,条痕为黑色或黄褐色,油脂到沥青光泽,贝壳状断口。摩氏硬度为6.05~6.44(Hv=570.08kg/mm^2~689.06kg/mm^2);无解理,比重4.51(扭力天平法测定),反射率从406nm(13.53%)到659nm(11.87%)。经计算钙贝塔石的化学式为:(Ca,Na,U)2(Nb,Ti)2(0,OH),。钙贝塔石的强X射线:2.975(10.222),2.570(5.400),1.816(9.440),1.549(8.622),1.050(6.844),等轴晶系,α=1.029nm。 相似文献
62.
介绍了面向对象数据模型的基本概念,重点讨论了面向对象数据模型在地理信息系统中的应用及具体实现途径。 相似文献
63.
大别山南坡蕲春等地榴辉岩的发现及相关问题 总被引:1,自引:0,他引:1
20世纪90年代早、中期,一些研究者根据榴辉岩的出露情况,将大别山腹地的大别杂岩出露区划分为“北大别地体”、“UHP地体”和“宿松地体”3个不同性质的大地构造单元,其中“北大别地体”和“宿松地体”2个地体被视为不含榴辉岩的构造单元。然而,自90年代后期以来,在“北大别地体”中陆续发现了大量的榴辉岩露头。近期笔者在“宿松地体”中也首次发现了榴辉岩露头。上述事实表明前人仅仅根据榴辉岩的出露将大别杂岩划分为3个构造单元的认识是不妥的,大别杂岩应该为一个具有一定成因联系的构造-岩石单元,属于同一个大地构造单元。 相似文献
64.
65.
66.
出露于康定跑马山、丹巴格宗、公差等地的变质核杂岩地层,原岩为中酸性—中基性火山岩及沉积岩,经混合岩化及花岗岩化作用,形成一套正片麻岩及副片麻岩地层。获得1585—2341Ma原岩成岩同位素年龄值。应属康定群,时代为中元古代—太古代,为康滇地轴扬子地台结晶基底向北露头的延伸。 相似文献
67.
68.
A method, based on the Hilbert–Huang spectral analysis, has been proposed by the authors to identify linear structures in which normal modes exist (i.e., real eigenvalues and eigenvectors). Frequently, all the eigenvalues and eigenvectors of linear structures are complex. In this paper, the method is extended further to identify general linear structures with complex modes using the free vibration response data polluted by noise. Measured response signals are first decomposed into modal responses using the method of Empirical Mode Decomposition with intermittency criteria. Each modal response contains the contribution of a complex conjugate pair of modes with a unique frequency and a damping ratio. Then, each modal response is decomposed in the frequency–time domain to yield instantaneous phase angle and amplitude using the Hilbert transform. Based on a single measurement of the impulse response time history at one appropriate location, the complex eigenvalues of the linear structure can be identified using a simple analysis procedure. When the response time histories are measured at all locations, the proposed methodology is capable of identifying the complex mode shapes as well as the mass, damping and stiffness matrices of the structure. The effectiveness and accuracy of the method presented are illustrated through numerical simulations. It is demonstrated that dynamic characteristics of linear structures with complex modes can be identified effectively using the proposed method. Copyright © 2003 John Wiley & Sons, Ltd. 相似文献
69.
The growing availability of digital topographic data and the increased reliability of precipitation forecasts invite modelling efforts to predict the timing and location of shallow landslides in hilly and mountainous areas in order to reduce risk to an ever‐expanding human population. Here, we exploit a rare data set to develop and test such a model. In a 1·7 km2 catchment a near‐annual aerial photographic coverage records just three single storm events over a 45 year period that produced multiple landslides. Such data enable us to test model performance by running the entire rainfall time series and determine whether just those three storms are correctly detected. To do this, we link a dynamic and spatially distributed shallow subsurface runoff model (similar to TOPMODEL) to an in?nite slope model to predict the spatial distribution of shallow landsliding. The spatial distribution of soil depth, a strong control on local landsliding, is predicted from a process‐based model. Because of its common availability, daily rainfall data were used to drive the model. Topographic data were derived from digitized 1 : 24 000 US Geological Survey contour maps. Analysis of the landslides shows that 97 occurred in 1955, 37 in 1982 and ?ve in 1998, although the heaviest rainfall was in 1982. Furthermore, intensity–duration analysis of available daily and hourly rainfall from the closest raingauges does not discriminate those three storms from others that did not generate failures. We explore the question of whether a mechanistic modelling approach is better able to identify landslide‐producing storms. Landslide and soil production parameters were ?xed from studies elsewhere. Four hydrologic parameters characterizing the saturated hydraulic conductivity of the soil and underlying bedrock and its decline with depth were ?rst calibrated on the 1955 landslide record. Success was characterized as the most number of actual landslides predicted with the least amount of total area predicted to be unstable. Because landslide area was consistently overpredicted, a threshold catchment area of predicted slope instability was used to de?ne whether a rainstorm was a signi?cant landslide producer. Many combinations of the four hydrological parameters performed equally well for the 1955 event, but only one combination successfully identi?ed the 1982 storm as the only landslide‐producing storm during the period 1980–86. Application of this parameter combination to the entire 45 year record successfully identi?ed the three events, but also predicted that two other landslide‐producing events should have occurred. This performance is signi?cantly better than the empirical intensity–duration threshold approach, but requires considerable calibration effort. Overprediction of instability, both for storms that produced landslides and for non‐producing storms, appears to arise from at least four causes: (1) coarse rainfall data time scale and inability to document short rainfall bursts and predict pressure wave response; (2) absence of local rainfall data; (3) legacy effect of previous landslides; and (4) inaccurate topographic and soil property data. Greater resolution of spatial and rainfall data, as well as topographic data, coupled with systematic documentation of landslides to create time series to test models, should lead to signi?cant improvements in shallow landslides forecasting. Copyright © 2003 John Wiley & Sons, Ltd. 相似文献
70.