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991.
992.
During more than a century of gold mining in South Africa large amounts of tailings were produced, which now cover vast areas
in densely populated regions. These dumps contain elevated levels of uranium and other toxic heavy metals associated with
gold in the mined ore. Large-scale extraction of uranium from auriferous ore only took place during the cold war, leaving
tailings with high uranium concentrations that were deposited before and after this period. Recent studies found elevated
levels of the radioactive heavy metal in groundwater and streams, mainly attributed to the discharge of contaminated water
from mines. In this paper the contribution of seepage from slimes dams to the uranium pollution of adjacent streams is analysed.
Based on geochemical analyses of samples, field observations and long-term in situ measurements of hydraulic and hydrochemical parameters at selected mining sites across the Witwatersrand goldfields, the
extent, mechanisms and dynamics of diffuse stream contamination by tailings seepage is characterised. Temporal and spatial
variations of the process and the associated hazard potential are discussed.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
993.
文章介绍了车载粒子探测系统所使用的设备、显示分析软件以及2000年6月和12月在北京市城市污染大气探测中获取的数据。探测结果表明:北京市夏季和冬季近地面悬浮粒子浓度存在较大差异;同一季节北京城区及周边地区近地面悬浮粒子浓度存在较大差异;同一地区同一季节白天与黑夜存在较大差异。车载探测系统的观测试验表明:该套车载探测系统能连续记录近地面粒子尺度、汽车行驶轨迹和速度,其测量频率高,机动灵活,不受天气条件的影响;增加光阵探头个数,可以对0.1~9300.0μm的雾、气溶胶、雨和雪等粒子进行测量;可较好地应用于地面污染监测,同时还可用于云雾人工影响天气作业的地面监测。 相似文献
994.
995.
M. L. Cox G. A. Sturrock P. J. Fraser S. T. Siems P. B. Krummel S. O'Doherty 《Journal of Atmospheric Chemistry》2003,45(1):79-99
There are large uncertainties in identifying and quantifying the natural and anthropogenic sources of chloromethanes – methyl chloride (CH3Cl), chloroform (CHCl3) and dichloromethane (CH2Cl2), which are responsible for about 15% of the total chlorine in the stratosphere. We report two years of in situ observations of these species from the AGAGE (Advanced Global Atmospheric Gas Experiment) program at Cape Grim, Tasmania (41° S, 145° E). The average background levels of CH3Cl, CHCl3 and CH2Cl2 during 1998–2000 were 551± 8, 6.3± 0.2 and 8.9± 0.2 ppt (dry air mole fractions expressed in parts per 1012) respectively, with a two-year average amplitude of the seasonal cycles in background air of 25, 1.1 and 1.5 ppt respectively. The CH3Cl and CHCl3 records at Cape Grim show clear episodes of elevated mixing ratios up to 1300 ppt and 55 ppt respectively, which are highly correlated, suggesting common source(s). Trajectory analyses show that the sources of CH3Cl and CHCl3 that are responsible for these elevated observations are located in coastal-terrestrial and/or coastal-seawater regions in Tasmania and the south-eastern Australian mainland. Elevated levels of CH2Cl2 (up to 70 ppt above background) are associated mainly with emissions from the Melbourne/Port Phillip region, a large urban/industrial complex (population 3.5 million) 300 km north of Cape Grim.Now at the Centre for Atmospheric ChemistryNow at School of Environmental Sciences 相似文献
996.
D. Oettl R. A. Almbauer P. J. Sturm G. Pretterhofer 《Stochastic Environmental Research and Risk Assessment (SERRA)》2003,17(1-2):58-75
Although the strict legislation regarding vehicle emissions in Europe (EURO 4, EURO 5) will lead to a remarkable reduction
of emissions in the near future, traffic related air pollution still can be problematic due to a large increase of traffic
in certain areas. Many dispersion models for line-sources have been developed to assess the impact of traffic on the air pollution
levels near roads, which are in most cases based on the Gaussian equation. Previous studies gave evidence, that such kind
of models tend to overestimate concentrations in low wind speed conditions or when the wind direction is almost parallel to
the street orientation. This is of particular interest, since such conditions lead generally to the highest observed concentrations
in the vicinity of streets. As many air quality directives impose limits on high percentiles of concentrations, it is important
to have good estimates of these quantities in environmental assessment studies. The objective of this study is to evaluate
a methodology for the computation of especially those high percentiles required by e.g. the EU daughter directive 99/30/EC
(for instance the 99.8 percentile for NO2). The model used in this investigation is a Markov Chain – Monte Carlo model to predict pollutant concentrations, which performs
well in low wind conditions as is shown here. While usual Lagrangian models use deterministic time steps for the calculation
of the turbulent velocities, the model presented here, uses random time steps from a Monte Carlo simulation and a Markov Chain
simulation for the sequence of the turbulent velocities. This results in a physically better approach when modelling the dispersion
in low wind speed conditions. When Lagrangian dispersion models are used for regulatory purposes, a meteorological pre-processor
is necessary to obtain required input quantities like Monin-Obukhov length and friction velocity from routinely observed data.
The model and the meteorological pre-processor applied here, were tested against field data taken near a major motorway south
of Vienna. The methodology used is based on input parameters, which are also available in usual environmental assessment studies.
Results reveal that the approach examined is useful and leads to reasonable concentration levels near motorways compared to
observations.
We wish to thank Andreas Schopper (Styrian Government) for providing air quality values, M. Kalina for providing the raw
data of the air quality stations near the motorway and J. Kukkonen for providing the road site data set from the Finish Meteorological
Institute (FMI). The study was partly funded by the Austrian science fund under the project P14075-TEC. 相似文献
997.
998.
太原市兰村泉域地下水质量分析与对策 总被引:2,自引:0,他引:2
本文利用BP网络模型对兰村泉域地下水水质的污染程度进行了分析与评价,采用相关分析法对地下水中总硬度、Cl^—进行了预测,最后提出了对地下水污染的防治对策。 相似文献
999.
本文以香港和北京为例,对SARS流行期的天气特征做了事件相关分析和统计分析.研究发现,在SARS流行期,SARS疫情高发可能与大约8日前的气温日较差阶段性降低有关系.但是当气温日较差过程发生趋势性变化时,疫情过程的响应时间为5~10天.SARS疫情高发还可能与8日前空气相对湿度偏低有关系,同时也与11~12日前的相对湿度峰值有关.前者较多的表现在香港,后者较多表现在北京.初步认为,略低于相对湿度75%的某个值附近,相对湿度对于疫情发展有促进作用;相对湿度具有二重性.空气污染有助于SARS病毒的扩散传染,它的影响滞后期在8~10天. 相似文献
1000.