全文获取类型
收费全文 | 843篇 |
免费 | 127篇 |
国内免费 | 183篇 |
专业分类
测绘学 | 35篇 |
大气科学 | 280篇 |
地球物理 | 85篇 |
地质学 | 377篇 |
海洋学 | 136篇 |
天文学 | 4篇 |
综合类 | 65篇 |
自然地理 | 171篇 |
出版年
2024年 | 7篇 |
2023年 | 27篇 |
2022年 | 30篇 |
2021年 | 30篇 |
2020年 | 26篇 |
2019年 | 35篇 |
2018年 | 21篇 |
2017年 | 21篇 |
2016年 | 34篇 |
2015年 | 32篇 |
2014年 | 78篇 |
2013年 | 40篇 |
2012年 | 69篇 |
2011年 | 46篇 |
2010年 | 75篇 |
2009年 | 59篇 |
2008年 | 60篇 |
2007年 | 53篇 |
2006年 | 49篇 |
2005年 | 47篇 |
2004年 | 36篇 |
2003年 | 36篇 |
2002年 | 37篇 |
2001年 | 39篇 |
2000年 | 26篇 |
1999年 | 26篇 |
1998年 | 19篇 |
1997年 | 18篇 |
1996年 | 11篇 |
1995年 | 19篇 |
1994年 | 15篇 |
1993年 | 13篇 |
1992年 | 2篇 |
1991年 | 11篇 |
1990年 | 2篇 |
1989年 | 2篇 |
1987年 | 1篇 |
1985年 | 1篇 |
排序方式: 共有1153条查询结果,搜索用时 171 毫秒
101.
利津县城区的地热资源主要赋存于新生代新近纪和古近纪碎屑沉积岩中,热储类型为层状孔隙-裂隙型热储,地热资源类型属热传导型。新近纪馆陶组热储层组与古近纪东营组热储层组是主要的热储层。该文在论述利津县地热地质条件的基础上,对地热开发的经济、社会、环境效益及开发利用前景进行了分析,对地热开发中的尾水排放和回灌问题进行了探讨,最后提出了地热资源开发与管理方面的建议。 相似文献
102.
运用静态箱-气相色谱法对中亚热带地区米槠天然林和阿丁枫天然林土壤N2O排放速率进行了1年(2012年1月—2013年1月)原位观测,分析了土壤温度及含水量对土壤N2O排放速率的影响,并探讨土壤无机N含量变化与土壤N2O排放速率的关系。结果表明,观测期间,2种天然林均表现为大气N2O排放源,米槠天然林和阿丁枫天然林平均土壤N2O排放速率分别为7.29μg·m-2·h-1、7.41μg·m-2·h-1;米槠天然林和阿丁枫天然林土壤N2O排放速率季节变化明显,最高排放速率均出现在夏季6月,分别为16.51μg·m-2·h-1、18.86μg·m-2·h-1;2个林分N2O排放速率最低值分别出现在2012年1月和2012年9月,分别为3.04μg·m-2·h-1和2.17μg·m-2·h-1。2种天然林土壤N2O排放速率均与土壤温度无显著相关性,与土壤含水量显著正相关(P0.05);2种天然林土壤N2O排放速率与NH4+含量均无显著相关性,米槠天然林和阿丁枫天然土壤N2O排放速率与NO3-含量分别呈显著负相关和显著正相关(P0.05)。研究结果表明,土壤含水量及NO3-含量的变化对中亚热带天然林土壤N2O排放速率有着重要的影响。 相似文献
103.
国务院办公厅近日印发《2014—2015年节能减排低碳发展行动方案》。根据方案,2014年到2015年,单位GDP能耗、化学需氧量、二氧化硫、氨氮、氮氧化物排放量将分别逐年下降3.9%、2%、2%、2%、5%以上,单位GDP二氧化碳排放量两年分别下降4%、3.5%以上。 相似文献
104.
盐度对河口潮汐湿地温室气体产生和排放的影响研究进展 总被引:2,自引:0,他引:2
盐度是影响河口潮汐湿地温室气体动态的一个重要的环境因子。本文论述了盐度对河口潮汐湿地温室气体的产生和排放的影响及机制。盐水入侵通过带来丰富的SO42-引起的硫酸盐效应、离子强度增加引起的离子效应影响CH4和CO2的产生。盐水入侵通过影响湿地的硝化作用、反硝化作用及硝化细菌反硝化作用进而影响N2O产生量,影响方式主要包括:(1)通过物理化学机制加强沉积物中铵的释放;(2)通过生理机制增加沉积物氮素释放量,直接影响硝化细菌、反硝化细菌活性,进而影响硝化作用和反硝化作用;(3)通过提高硝酸盐异化还原为铵的速率影响反硝化速率。最后提出了今后应加强研究的方向。 相似文献
105.
Global climate change has evolved from a scientific problem into an economic and political problem oI worlOwloe rater- est. National perspectives play a crucial role in addressing climate change. Mutual understanding of perspectives is nec- essary to result in rational policies and a consensus among stakeholders with divergent interests. Conceptual frameworks for understanding the problem of climate change in China, the largest developing country and the largest greenhouse gas emitter, are of great significance to national and international efforts to address the problems of climate change. Chinese perceptions of climate change as a sustainable development problem have recently been in tension with an emerging Western perspective that frames climate change as a security issue. This paper explores Chinese perceptions of climate change as expressed in recent governmental policy statements, public opinion surveys, and academic scholarship with a focus on publications in Chinese-language journals, often unfamiliar in the West. It looks at the relationship between Chinese research and policy and finds that the Chinese policy frame of climate change as a sustainable development problem draws from the body of domestic research and is reflective of the perspectives and multidisciplinary approach of Chinese researchers in areas of climate change. 相似文献
106.
Influences of large-scale climatic phenomena, such as the E1Nifio/La Nifia-Southem Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO), on the temporal variations of the annual water discharge at the Lijin station in the Huanghe (Yellow) River and at the Datong station in the Changjiang (Yangtze) River were examined. Using the empirical mode decomposition-maximum entropy spectral analysis (EMD- MESA) method, the 2- to 3-year, 8- to 14-year, and 23-year cyclical variations of the annual water discharge at the two stations were discovered. Based on the analysis results, the hydrological time series on the inter- annual to interdecadal scales were constructed. The results indicate that from 1950 to 2011, a significant downward trend occurred in the natural annual water discharge in Huanghe River. However, the changes in water discharge in Changjiang River basin exhibited a slightly upward trend. It indicated that the changes in the river discharge in the Huanghe basin were driven primarily by precipitation. Other factors, such as the precipitation over the Changjiang River tributaries, ice melt and evaporation contributed much more to the increase in the Changjiang River basin. Especially, the impacts of the inter-annual and inter-decadal climate oscillations such as ENSO and PDO could change the long-term patterns of precipitation over the basins of the two major rivers. Generally, low amounts of basin-wide precipitation on interannual to interdecadal scales over the two rivers corresponded to most of the warm ENSO events and the warm phases of the PDO, and vice versa. The positive phases of the PDO and ENSO could lead to reduced precipitation and consequently affect the long-term scale water discharges at the two rivers. 相似文献
107.
《气候变化研究进展》2014,(5)
<正>1.《气候变化研究进展》是受国家气候委员会委托,由中国气象局国家气候中心主办的气候变化领域内由自然科学和社会科学相结合的综合性学术刊物.2.本刊设有"气候系统变化"、"气候变化影响"、"气候变化适应"、"温室气体排放"、"对策论坛"、"渊查研究"和"简汛"等栏目,并定期就某一专题组稿、约稿,以专栏形式发表.综述类论文以约稿为主,一般不接受自由投稿. 相似文献
108.
Verifying Fossil-Fuel Carbon Dioxide Emissions Forecasted by an Artificial Neural Network with the GEOS-Chem Model
下载免费PDF全文
![点击此处可从《大气和海洋科学快报》网站下载免费的PDF全文](/ch/ext_images/free.gif)
In this study, the authors developed an en- semble of Elman neural networks to forecast the spatial and temporal distribution of fossil-fuel emissions (ff) in 2009. The authors built and trained 29 Elman neural net- works based on the monthly average grid emission data (1979-2008) from different geographical regions. A three-dimensional global chemical transport model, God- dard Earth Observing System (GEOS)-Chem, was applied to verify the effectiveness of the networks. The results showed that the networks captured the annual increasing trend and interannual variation of ff well. The difference between the simulations with the original and predicted ff ranged from -1 ppmv to 1 ppmv globally. Meanwhile, the authors evaluated the observed and simulated north-south gradient of the atmospheric CO2 concentrations near the surface. The two simulated gradients appeared to have a similar changing pattern to the observations, with a slightly higher background CO2 concentration, - 1 ppmv. The results indicate that the Elman neural network is a useful tool for better understanding the spatial and tem- poral distribution of the atmospheric C02 concentration and ft. 相似文献
109.
110.