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61.
1:2000地形数据库(gdb格式)作为不动产统一登记基础数据之一,不能直接用于设计阶段,必须转换成dwg格式数字地形图.本文在分析地形数据库数据标准的基础上提出了基于FME的数据格式转换方法,给出了模板编写思路和实现过程,并以实际生产案例加以说明. 相似文献
62.
通过T639模式预报产品在内蒙古地区降水量、2 m温度、相对湿度和10 m风向、风速及降水过程预报效果的适用性研究,得出以下结论,温度和相对湿度预报的准确率较风向、风速明显偏高,温度和相对湿度预报的误差系统偏小,风速预报误差偏大的概率较大;降水量的预报准确率随降水等级增加而递减,对小雨而言,模式漏报率小于空报率,多报降水的偏差和少报降水的偏差相近。在预报要素空间分布上,风向预报的偏差顺时针偏转,其夹角小于45°,温度预报偏差总体偏小,相对湿度预报偏差由西向东表现为“+、-、+、-”的分布特征;小雨和中雨落区预报偏大,暴雨落区预报偏小;贝加尔湖冷涡强度的预报偏强,西太平洋副热带高压的强度预报偏弱,影响范围偏西偏北。 相似文献
63.
Various ensemble-based schemes are employed in data assimilation because they can use the ensemble to estimate the flow-dependent background error covariance. The most common way to generate the real-time ensemble is to use an ensemble forecast; however, this is very time-consuming. The historical sampling approach is an alternative way to generate the ensemble,by picking some snapshots from historical forecast series.With this approach, many ensemble-based assimilation schemes can be used in a deterministic forecast environment. Furthermore, considering the time that it saves, the method has the potential for operational application.However, the historical sampling approach carries with it a special kind of sampling error because, in a historical forecast, the way to integrate the ensemble members is different from the way to integrate the initial conditions at the analysis time(i.e., forcing and lateral boundary condition differences, and ‘warm start' or ‘cold start' differences). This study analyzes the results of an experiment with the Global Regional Assimilation Prediction System-Global Forecast System(GRAPES-GFS), to evaluate how the different integration configurations influence the historical sampling error for global models. The results show that the sampling error is dominated by diurnal cycle patterns as a result of the radiance forcing difference.Although the RMSEs of the sampling error are small, in view of the correlation coefficients of the perturbed ensemble, the sampling error for some variables on some levels(e.g., low-level temperature and humidity, stratospheric temperature and geopotential height and humidity), is non-negligible. The results suggest some caution must be applied, and advice taken, when using the historical sampling approach. 相似文献
64.
The physical simulation method of wave groups in a wave flume is proposed and verified by the exper- iments. The experimental results demonstrate that random waves with desired wave groupiness, which simultaneously includes the wave group height and length, can be generated satisfactorily at the specified position in a wave flume using the proposed method. Furthermore, the transformation properties of the wave groupiness along the fiat-bottomed wave flume are investigated based on the physically simulated waves. Associated proposals with the physical simulation of wave groups are given. 相似文献
65.
新疆贝勒库都克A型花岗岩锆石U-Pb年龄、地球化学及锡成矿 总被引:1,自引:0,他引:1
新疆东准噶尔卡拉麦里地区是一个重要的锡成矿带,分布有多种类型花岗岩。贝勒库都克岩体位于锡成矿带中部,由黑云母正长花岗岩和黑云母二长花岗岩组成。本文通过精确的LA-ICP-MS锆石U-Pb测年获得贝勒库都克含锡黑云母正长花岗岩年龄为283±2Ma,MSWD=0.14(95%置信度),时代属于早二叠世,这与东准噶尔后碰撞深成岩浆活动的范围(330~265Ma)相吻合。岩石地球化学研究表明,贝勒库都克岩体富硅(SiO2=75.25%~76.67%),低铝(Al2O3=11.91%~12.86%),贫镁(MgO=0.02%~0.18%)和钙(CaO=0.39%~0.89%),富碱(Na2O+K2O=8.08%~8.97%),K2O>Na2O,NK/A=0.86~0.95(平均0.92),A/NCK=0.97~1.02,富集Rb、K等大离子亲石元素及Zr、Hf等高场强元素,Ba,Nb,Sr强烈亏损,δEu=0.01~0.11,其FeOt/MgO(12.71~84.51,平均34.55)和10000Ga/A1(2.97~4.20)值大,HFSE元素(Zr+Nb+Ce+Y=191.8×10-6~353.3×10-6)含量高,明显不同于典型的I型和S型花岗岩,基本属于典型的铝质A型花岗岩。年代学和地球化学综合研究表明,贝勒库都克铝质A型花岗岩是壳幔混合成因,是准噶尔地区后碰撞幔源岩浆底侵作用导致大陆地壳垂向生长过程的记录者。贝勒库都克铝质A型花岗岩Sn的含量高(6.0×10-6~19.5×10-6,个别为80.0×10-6),铝质A型花岗岩是成矿热液的直接母体,而富Sn的流体相最终形成了贝勒库都克锡矿床,锡矿与铝质A型花岗岩是同期地质事件的产物。 相似文献
66.
预排水动力固结法处理吹填粉土地基的试验研究 总被引:1,自引:0,他引:1
为加固新近吹填的处于流塑状态的粉土地基,首先采用轻型井点降水和动力碾压的方法使地基具有一定的初始承载力。然后,施加较大的强夯动力荷载,从而使地基承载力得到显著提高。这一新的综合加固技术称之为预排水动力固结法。通过现场测试,研究了施工过程中诸如井点降水的影响范围、强夯时孔隙水压力的变化范围、深层沉降的变化等问题。同时,对强夯夯击遍数、每点夯击次数、遍与遍之间的间隙时间等有关问题进行讨论。研究表明,预排水动力固结法可显著提高吹填粉土地基的承载力。 相似文献
67.
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69.
Jun-De Dong Yan-Ying Zhang Si Zhang You-Shao Wang Zhi-Hao Yang Mei-Lin Wu 《Environmental Earth Sciences》2010,60(8):1673-1682
A large data set obtained by a 1-year monthly determination of water quality from Sanya Bay, South China Sea, was treated
by three-way principal component analysis aimed at exploring the spatial and temporal patterns of water quality in Sanya Bay.
Tucker3 model of optimum complexity (2, 2, 1) explaining 33.18% of the data variance, allowed interpretation of the data information
in three modes. The model explained spatial and temporal variation trends in terms of water quality variables during the study
period. Water quality in sampling station (S2) Sanya River was mainly influenced by Sanya River, and water quality in other
stations (S1, S3–S10) were mainly influenced by the waters in South China Sea. The results delineated the mouth of Sanya River
as critical from pollution point of view. The dry season from October to the next April and rainy season from May to September
have different influences on water quality in Sanya Bay. The information extracted by the three-way models would be very useful
to regional agencies in developing a strategy to carry out scientific plans for resource use based on marine system functions. 相似文献
70.
Frontal upwelling is an important phenomenon in summer in the Yellow Sea (YS) and plays an essential role in the distribution of nutrients and biological species. In this paper, a three-dimensional hydrodynamic model is applied to investigate the characteristics and influencing factors of frontal upwelling in the YS. The results show that the strength and distribution of frontal upwelling are largely dependent on the topography and bottom temperature fronts. The frontal upwelling in the YS is stronger and narrower near the eastern coast than near the western coast due to the steeper shelf slope. Moreover, external forcings, such as the meridional wind speed and air temperature in summer and the air temperature in the preceding winter and spring, have certain influences on the strength of frontal upwelling. An increase in air temperature in the previous winter and spring weakens the frontal upwelling in summer; in contrast, an increase in air temperature in summer strengthens the frontal upwelling. When the southerly wind in summer increases, the upwelling intensifies in the western YS and weakens in the eastern YS. The air temperature influences the strength of upwelling by changing the baroclinicity in the frontal region. Furthermore, the meridional wind speed in summer affects frontal upwelling via Ekman pumping. 相似文献