全文获取类型
收费全文 | 3013篇 |
免费 | 475篇 |
国内免费 | 767篇 |
专业分类
测绘学 | 246篇 |
大气科学 | 1004篇 |
地球物理 | 400篇 |
地质学 | 945篇 |
海洋学 | 306篇 |
天文学 | 991篇 |
综合类 | 149篇 |
自然地理 | 214篇 |
出版年
2024年 | 11篇 |
2023年 | 21篇 |
2022年 | 76篇 |
2021年 | 52篇 |
2020年 | 48篇 |
2019年 | 69篇 |
2018年 | 44篇 |
2017年 | 68篇 |
2016年 | 100篇 |
2015年 | 87篇 |
2014年 | 177篇 |
2013年 | 138篇 |
2012年 | 220篇 |
2011年 | 122篇 |
2010年 | 156篇 |
2009年 | 210篇 |
2008年 | 235篇 |
2007年 | 259篇 |
2006年 | 278篇 |
2005年 | 276篇 |
2004年 | 164篇 |
2003年 | 198篇 |
2002年 | 180篇 |
2001年 | 165篇 |
2000年 | 120篇 |
1999年 | 138篇 |
1998年 | 93篇 |
1997年 | 69篇 |
1996年 | 86篇 |
1995年 | 82篇 |
1994年 | 61篇 |
1993年 | 82篇 |
1992年 | 53篇 |
1991年 | 42篇 |
1990年 | 19篇 |
1989年 | 17篇 |
1988年 | 9篇 |
1987年 | 5篇 |
1986年 | 9篇 |
1985年 | 5篇 |
1984年 | 2篇 |
1983年 | 4篇 |
1980年 | 2篇 |
1978年 | 1篇 |
1977年 | 1篇 |
1975年 | 1篇 |
排序方式: 共有4255条查询结果,搜索用时 23 毫秒
71.
72.
盐度和昼夜节律对菲律宾蛤仔摄食率的影响 总被引:16,自引:0,他引:16
在实验室条件下,用流水系统测定盐度和昼夜节律对菲律宾蛤仔摄食率的影响。分别对15、20、25、30、35这5个盐度梯度,以及连续24h的00:00、04:00、08:00、12:00、16:00、20:00这6个时间点下菲律宾蛤仔的摄食率进行了测定。结果表明:在15-25的盐度范围内,蛤仔的摄食率随着盐度的升高而增大,在盐度25时达到最大,而在25-35盐度范围内随盐度的增加而减小;在一个昼夜里,蛤仔的摄食率存在显著的差异,夜间的摄食率明显高于白昼,00:00和12:00分别是两个极值;菲律宾蛤仔是一个有着明显昼夜节律性的底栖动物,并且对盐度有一个适应范围,盐度25-30是其最适的盐度。本实验为以后进一步研究菲律宾蛤仔在贝类混养虾池中的作用奠定了基础。 相似文献
73.
胶州湾营养盐的现状和变化 总被引:28,自引:3,他引:28
报道了1991年5月至1994年2月12个航次胶州湾NO3-N,NO2-N,NH4-N,PO4-P和SiO3-Si的时空分布基本特征,60年代于至90年代的变化表明,胶州湾营养盐的浓度和分布已发生显变化。尤其从60年代至80年代,30年来,胶州湾中东部水城PO4-P,NO3-N和NH4-N浓度分别增加2.2,7.3和7.1倍,TON浓度也增加了3.5倍,TIN/PO4-P从10增加至24.2;T 相似文献
74.
75.
76.
Ryoko Tokeshi Kaoru Ichikawa Satoshi Fujii Kenji Sato Shoichiro Kojima 《Journal of Oceanography》2007,63(4):711-720
A method to extract geostrophic current in the daily mean HF radar data in the Kuroshio upstream region is established by
comparison with geostrophic velocity determined from the along-track altimetry data. The estimated Ekman current in the HF
velocity is 1.2% (1.5%) and 48° (38°)-clockwise rotated with respect to the daily mean wind in (outside) the Kuroshio. Furthermore,
additional temporal smoothing is found necessary to remove residual ageostrophic currents such as the inertial oscillation.
After removal of the ageostrophic components, the HF geostrophic velocity agrees well with that from the altimetry data with
rms difference 0.14 (0.12) m/s in (outside) the Kuroshio. 相似文献
77.
Access to information about past states of the environment and social systems is fundamental to understand, and cope with, the challenges of climate change and over-exploitation of natural resources at the onset of the 21st century. The loss of (old) data is a major threat to understanding better and mitigating long-term effects of human activities and anthropogenic changes to the environment. Although this is intuitively evident for old and local literature of any kind, even present-day international publishing of papers without the underlying raw data makes access to basic information a crucial issue. Here, we summarise experience resulting from a EU-funded International Science & Technology Cooperation (INCO) project (CENSOR) addressing Coastal Ecosystem Research and Management in the El Niño Southern Oscillation (ENSO) context. We show that indeed “Grey Literature” is still one of the most important sources of knowledge about natural science research and management of natural resource systems in Latin American countries. We argue that public archiving of original data of present-day research and old (Grey) Literature and easy public access are important for appreciating today's global environmental challenges caused by human activities, both past and present. 相似文献
78.
As a new method, the ultraviolet spectrum technique is applied to studying the connectivity of biode-gradable heavy oil reservoirs. The similarity of crude oils can be judged according to the extinction coefficient (E) because aromatic hydrocarbons and non-hydrocarbons have conjugated bonds and obvious absorption in the ultraviolet range, and different materials have different characteristics and additives. The relationship diagram is made in terms of the extinction coefficients (E) of the samples by taking E as the Y-axis and wavelength as the X-axis. The connectivity of oil reservoirs is estimated according to the curve positions and characteristic fingerprints of the sampies. The connectivity of part of the reservoirs in the western part of the QHD32-6 oilfield was studied with this method. The results showed that the connectivity of samples from wells F7 and F8 in the Nm-2 oil reservoir zone is good, that of samples from wells F17 and F20 in the Nm-1 oil reservoir zone also is good, and that of samples from wells F17, F19, and F20 is poor. 相似文献
79.
80.
This article presents the application of a multivariate prediction technique for predicting universal time (UT1–UTC), length of day (LOD) and the axial component of atmospheric angular momentum (AAM χ 3). The multivariate predictions of LOD and UT1–UTC are generated by means of the combination of (1) least-squares (LS) extrapolation of models for annual, semiannual, 18.6-year, 9.3-year oscillations and for the linear trend, and (2) multivariate autoregressive (MAR) stochastic prediction of LS residuals (LS + MAR). The MAR technique enables the use of the AAM χ 3 time-series as the explanatory variable for the computation of LOD or UT1–UTC predictions. In order to evaluate the performance of this approach, two other prediction schemes are also applied: (1) LS extrapolation, (2) combination of LS extrapolation and univariate autoregressive (AR) prediction of LS residuals (LS + AR). The multivariate predictions of AAM χ 3 data, however, are computed as a combination of the extrapolation of the LS model for annual and semiannual oscillations and the LS + MAR. The AAM χ 3 predictions are also compared with LS extrapolation and LS + AR prediction. It is shown that the predictions of LOD and UT1–UTC based on LS + MAR taking into account the axial component of AAM are more accurate than the predictions of LOD and UT1–UTC based on LS extrapolation or on LS + AR. In particular, the UT1–UTC predictions based on LS + MAR during El Niño/La Niña events exhibit considerably smaller prediction errors than those calculated by means of LS or LS + AR. The AAM χ 3 time-series is predicted using LS + MAR with higher accuracy than applying LS extrapolation itself in the case of medium-term predictions (up to 100 days in the future). However, the predictions of AAM χ 3 reveal the best accuracy for LS + AR. 相似文献