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1.
基于15 d的精密卫星钟差数据,从不同角度全面分析6种常用钟差预报模型(LP模型、QP模型、GM模型、SA模型、ARIMA模型、KF模型)基于钟差一次差分预报原理的预报效果,得到以下结论:1)采用钟差一次差分预报原理,可以提高LP模型、SA模型、GM模型及KF模型对于GPS卫星钟差的3 h预报精度,提高QP模型和ARIMA模型对于ⅡF Rb钟的3 h预报精度,提高LP模型和GM模型在6 h和12 h预报中的精度,提高ARIMA模型在6 h、12 h和24 h预报中的精度;2)基于钟差一次差分预报原理的预报结果与卫星及其星载钟类型有关,对于GPS BLOCK ⅡF Rb钟,该预报原理可以提高6种模型的短期预报精度,特别是对GM模型、LP模型和ARIMA模型预报效果的改善最为显著;3)对于3 h和6 h的预报,采用钟差一次差分预报原理的LP模型(DLP模型)对应的RMS值都最小,即DLP模型的预报精度最高,说明钟差一次差分数据更适合一次多项式模型的短期预报。  相似文献   
2.
Zhejiang Province, located in the Yangtze River Delta region, is representative of China's economically developed areas. It enjoys superior natural conditions and a long history of agriculture, and is a comprehensive agricultural area with integrated development of agriculture, forestry, animal husbandry and fishery. It has nurtured the farming culture represented by Hemudu culture and Liangzhu culture, which have given rise to numerous precious Agricultural Heritage Systems. At present, Zhejiang Province has three of the world’s Globally Important Agricultural Heritage Systems (GIAHS) and 12 China Nationally Important Agricultural Heritage Systems (China-NIAHS), so it not only has the largest number of heritages in China, but it has also attained remarkable achievements in heritage conservation. Taking Zhejiang Province as an example in combination with the rural revitalization strategy, this paper summarizes the achievements in the protection of Important Agricultural Heritage Systems (IAHS) in Zhejiang Province during the past 15 years from the aspects of increasing farmers’ income, cultural Inheritance and industrial upgrading, as well as the conservation experiences in government promotion, community initiative, enterprise participation, technology driving and social linkage. Further, in view of the problems that exist in the current heritage protection,such as imperfect management of heritage sites, low participation of community residents, lack of special protection funds, and imperfect provincial management system,the following countermeasures and suggestions are put forward: (1) Improve the management mechanism for the conservation and development of Agricultural Heritage Systems; (2) Develop regional public branding of agricultural products in Agricultural Heritage System sites; (3) Increase the Agricultural Heritage System science education as well as cultural and creative product development; (4) Carry out the evaluation and recognition of IAHS at the provincial level; and (5) Provide substantial support and input to the conservation and utilization of IAHS. This study can provide some guidance for the conservation of IAHS in Zhejiang Province and it provides important reference for IAHS in the economically developed areas in China.  相似文献   
3.
郝世俊  殷新胜  方俊 《探矿工程》2021,48(S1):173-180
碎软煤层在我国煤矿区分布广泛,具有瓦斯含量高、压力大、渗透率低等特征,在碎软煤层中钻进存在喷孔、塌孔、排渣不畅等问题,导致碎软煤层钻进困难、孔内事故频发,进而影响成孔深度和成孔率,造成瓦斯治理盲区;尤其是随着我国煤矿开采深度的增加,碎软煤层瓦斯抽采孔工作量和成孔难度不断增大。针对碎软煤层瓦斯抽采对钻孔施工需求,研究开发了高转速螺旋钻进工艺、中风压空气钻进工艺、气体定向钻进工艺等实用、经济的碎软煤层高效钻进技术,破解了碎软煤层钻孔排渣护孔、轨迹控制和高效成孔等方面难题,实现了碎软煤层钻孔在服役周期内的长效利用,相关技术在安徽、贵州、山西等地区成功推广应用,达到高效、精准抽采的目的,为矿井安全生产提供了技术保障。  相似文献   
4.
基于2018年12月至2020年3月喀左、沈阳、辽阳、满洲里4个国家级地面气象站人工冻土器与测温式冻土自动观测仪观测的资料,对人工冻土观测获得的冻点与测温式冻土自动观测仪获得的相应深度的温度进行对比分析。结果表明:人工冻土器获取的冻点对应的土壤温度与0℃总体一致,又不完全重合;0—35 cm深度范围,冻点对应的温度变化范围为-2~6℃,呈现跳跃性变化。35 cm以下深度范围,冻土冻点对应的温度变化范围为-0.5~1.0℃;融化过程冻点对应的平均温度高于冻结过程冻点对应的平均温度。从完全融化时间上来看,人工冻土器观测到的完全融化时间晚于测温式冻土仪0℃线完全消失的时间。人工冻土观测的实质是获得土壤温度0℃点所在位置。灌注不同台站水的冻土器内管在相同的温度环境下,冻结与融化状态无明显区别;人工冻土器内管冻结过程是温度和持续时间双重作用的结果,深层土壤温度变化缓慢,使得内管中的水冻结和融化需要的时间长。另外,作为接触式测温设备,减小外因产生的时滞是提高其灵敏度的重要环节,建议测温式冻土仪的外管壁使用温度滞后效应更小的金属外管。  相似文献   
5.
人类活动和自然因素共同但有区别的作用引起了长江口及邻近海域富营养化,造成夏季底层水体低氧现象加剧,成为近海生态健康恶化的重要征兆。本文梳理了国内外学者在该海域低氧研究中获得的重要认识,分析了底层水体溶解氧的潮周期尺度、事件尺度和年际尺度的变化特征,重点从层化与物质输运角度,介绍了长江冲淡水、台湾暖流、海洋锋面、风和潮等过程影响底层水体中氧气消耗或补充的机制,揭示了本海域主要低氧现象分别位于长江口和浙江近海的特征,对比了两处低氧区形成与演变的异同机制。目前,对低氧形成机制的定性认识和多尺度变化特征的了解已经有较好的基础,未来需要从多学科交叉角度加强现场试验和定量研究,掌握低氧的长期演变趋势,研发底层水体低氧的预测预警技术,支撑我国河口近海的生态预警监测工作。  相似文献   
6.
Engineering Nanoparticles(ENPs)’superior characteristics of adsorption depends on their dispersion in the medium.In this study,multi-walled carbon nanotubes(nonmetal),iron nanoparticles and silver nanoparticles(metallic simple substance),and Nano-TiO2,Nano-Fe2O3 and Nano-ZnO(metal oxide)were selected and respectively added into pure water and aqueous solution with 1%Sodium dodecyl benzene sulfonate(SDBS)surfactant.The dispersion effects were compared by leaving the solutions standing at room temperature under ultrasound.The results show that the dispersion of iron nanoparticles is the lowestamong the six ENPs,and that of multi-walled carbon nanotubes(MWCTS)is the highest.Adding anionic surfactants(SDBS)can obviously improve the dispersion performance of ENPs.The concentration of solution decreases by only 5%in 10 daysafter adding 1%SDBS for ultrasonic dispersion.  相似文献   
7.
采用新光压模型ECOMC和ECOM-9,分别使用5种IGU精密超快速星历进行精密定轨,以最终IGS精密星历作为真值,比较GPS卫星的定轨精度。结果表明,相较于ECOM-9光压模型,ECOMC光压模型能够提升卫星径向、切向和法向的轨道精度,其中径向提升较为明显;对比5种IGU超快速精密星历的定轨结果,ECOMC光压模型定轨精度分别能达到5 cm、3.5 cm、2.5 cm、1.5 cm和1.5 cm,优于ECOM-9。  相似文献   
8.
长江中游城市群空间结构演变历程与特征   总被引:1,自引:0,他引:1  
朱政  朱翔  李霜霜 《地理学报》2021,76(4):799-817
城市群空间结构反映了城市群中城市的等级结构、职能结构和联系形态,代表了城市群在一定时间范围内的扩张模式与发展特征。本文选取中国首个获批复的国家级城市群——长江中游城市群作为研究对象,收集其1990—2019年的LULC、Landsat等图像资料以及城镇人口等数据,通过空间数据库构建、方格网系统建立、城镇扩张程度计算、扩张玫瑰图构建,从宏观、微观层面研究了长江中游城市群1990—2019年的空间结构演变历程及特征,并按照历史发展特征及规律,对2025年、2030年的发展态势进行情景分析。结果表明:① 1990—2019年长江中游城市群的空间结构经历了“三中心”到“一核双心多组团”,再到“双核多心多组团”模式的历程。作为“双核”的武汉城市圈、长株潭城市群已发展为巨型核心,在2020—2030年期间将继续扩张,成为面积达2000 km2和1500 km2的超巨型核心。而南昌规模相对较小,将继续作为辐射江西的区域发展中心。目前已形成了襄阳、宜昌、荆州、常德、衡阳、九江、上饶等7个发展次中心,在未来有望进一步增加。② 在发展历程中,逐渐形成了长江沿线、武汉—长沙、武汉—南昌、南昌—长沙4条城镇化发展主轴和多条发展次轴,但由于缺乏强有力的边界枢纽和桥头堡,轴线对城市群的辐射带动作用有待进一步提升。③ 城市群发展存在一些问题,包括武汉城市圈与长株潭城市群的核心极化作用过强并出现连绵发展趋势、江西缺乏强有力发展核心、城镇建成区过度集中导致环境问题等。亟待从控制核心扩张速度、培育新的区域中心、强化轴线功能等方面进行调控和优化。  相似文献   
9.
The role of Arctic clouds in the recent rapid Arctic warming has attracted much attention. However, Arctic cloud water paths(CWPs) from reanalysis datasets have not been well evaluated. This study evaluated the CWPs as well as LWPs(cloud liquid water paths) and IWPs(cloud ice water paths) from five reanalysis datasets(MERRA-2,MERRA, ERA-Interim, JRA-55, and ERA5) against the COSP(Cloud Feedback Model Intercomparison Project Observations Simulator Package) output for MODIS from the MERRA-2 CSP(COSP satellite simulator) collection(defined as M2 Modis in short). Averaged over 1980–2015 and over the Arctic region(north of 60°N), the mean CWPs of these five datasets range from 49.5 g/m~2(MERRA) to 82.7 g/m~2(ERA-Interim), much smaller than that from M2 Modis(140.0 g/m~2). However, the spatial distributions of CWPs, show similar patterns among these reanalyses, with relatively small values over Greenland and large values over the North Atlantic. Consistent with M2 Modis, these reanalyses show larger LWPs than IWPs, except for ERA-Interim. However, MERRA-2 and MERRA underestimate the ratio of IWPs to CWPs over the entire Arctic, while ERA-Interim and JRA-55 overestimate this ratio. ERA5 shows the best performance in terms of the ratio of IWPs to CWPs. All datasets exhibit larger CWPs and LWPs in summer than in winter. For M2 Modis, IWPs hold seasonal variation similar with LWPs over the land but opposite over the ocean. Following the Arctic warming, the trends in LWPs and IWPs during 1980~2015 show that LWPs increase and IWPs decrease across all datasets, although not statistically significant. Correlation analysis suggests that all datasets have similar interannual variability. The study further found that the inclusion of re-evaporation processes increases the humidity in the atmosphere over the land and that a more realistic liquid/ice phase can be obtained by independently treating the liquid and ice water contents.  相似文献   
10.
To assess the performances of state-of-the-art global climate models on simulating the Arctic clouds and surface radiation balance, the 2001–2014 Arctic Basin surface radiation budget, clouds, and the cloud radiative effects(CREs) in 22 coupled model intercomparison project 6(CMIP6) models are evaluated against satellite observations. For the results from CMIP6 multi-model mean, cloud fraction(CF) peaks in autumn and is lowest in winter and spring, consistent with that from three satellite observation products(Cloud Sat-CALIPSO, CERESMODIS, and APP-x). Simulated CF also shows consistent spatial patterns with those in observations. However,almost all models overestimate the CF amount throughout the year when compared to CERES-MODIS and APP-x.On average, clouds warm the surface of the Arctic Basin mainly via the longwave(LW) radiation cloud warming effect in winter. Simulated surface energy loss of LW is less than that in CERES-EBAF observation, while the net surface shortwave(SW) flux is underestimated. The biases may result from the stronger cloud LW warming effect and SW cooling effect from the overestimated CF by the models. These two biases compensate each other,yielding similar net surface radiation flux between model output(3.0 W/m~2) and CERES-EBAF observation(6.1 W/m~2). During 2001–2014, significant increasing trend of spring CF is found in the multi-model mean,consistent with previous studies based on surface and satellite observations. Although most of the 22 CMIP6 models show common seasonal cycles of CF and liquid water path/ice water path(LWP/IWP), large inter-model spreads exist in the amounts of CF and LWP/IWP throughout the year, indicating the influences of different cloud parameterization schemes used in different models. Cloud Feedback Model Intercomparison Project(CFMIP)observation simulator package(COSP) is a great tool to accurately assess the performance of climate models on simulating clouds. More intuitive and credible evaluation results can be obtained based on the COSP model output. In the future, with the release of more COSP output of CMIP6 models, it is expected that those inter-model spreads and the model-observation biases can be substantially reduced. Longer term active satellite observations are also necessary to evaluate models' cloud simulations and to further explore the role of clouds in the rapid Arctic climate changes.  相似文献   
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