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41.
42.
为研究紊流水体中藻类的垂向分布特性,依据三峡水库次级河流回水段的水动力状况,自行设计了水流实验装置,选取次级河流回水区水华高发时段的气候状况和营养盐水平为实验条件,研究了雷诺数对蓝藻、绿藻和硅藻垂向分布的影响以及雷诺数对不同水深处藻类的悬浮和聚集行为的作用.研究结果表明:在水温为20℃、光照强度为5000 lx的富营养水体中,当断面平均流速在0~0.005 m/s、雷诺数在0~1750时,蓝藻主要悬浮聚集在0.2~0.8 m的表层水体中;而当断面平均流速在0.1~0.5 m/s、雷诺数在35000~175000时,硅藻主要悬浮聚集在0.2~0.8 m的表层水体中;与蓝藻和硅藻相比,绿藻适宜的雷诺数范围更宽,当断面平均流速在0~0.05 m/s、雷诺数在0~17500时,绝大部分的绿藻都能悬浮聚集在0.2~0.8 m的表层水体中. 相似文献
43.
DEVELOPMENT OF EARTHQUAKE EMERGENCY DISASTER INFORMATION PRE-EVALUATION DATA BASED ON KM GRID 下载免费PDF全文
After an earthquake, earthquake emergency response and rescue is one of the effective ways to reduce casualties from the earthquake. Earthquake emergency disaster information is one of crucial factors to effectively guide the rescue work. However, there is a "black box effect" on the emergency disaster information acquisition after an earthquake, which means real-time earthquake disaster information is insufficient. Hazard estimates are usually used as a substitute for the real-time disaster information in the "black box" period. However, it is subject to the accuracy and speed of the estimation.
The development of the km grid technology provides good prospect to solve this problem. The paper suggests to develop earthquake disaster information pre-estimation data with the support of the km grid technology. The definition and source of the pre-estimation data are introduced and its possibility in improving the estimation speed and accuracy are analyzed theoretically.
Then, we elaborate the calculation model of the pre-estimation data. The framework of the model includes disaster-bearing body data, disaster-causing factors used in calculation and calculation formula. The disaster-bearing body data in km grid format are introduced, including population data in km grid format and building data in km grid format. Then the four elements of the earthquake(earthquake occurrence time, earthquake location, earthquake magnitude and focal depth)are selected as disaster-causing factors for calculation. Map algebra method is used to realize the calculation model in which calculation parameters are associated with base map in the km grid format. So the pre-estimation data are developed by python and ArcGIS, which includes building damage dataset(100 layers), death toll dataset(10 layers)and direct economic loss dataset(5 layers).
Finally, the pre-estimation data based method for earthquake emergency disaster information estimation is presented. With the support of this method, two real earthquake cases are used to validate the effect of the pre-estimation data. The validation results show the pre-estimation data can not only significantly improve the speed of the estimation but also greatly improve the accuracy of the estimation. Another good result is found in the validation process that with the support of the pre-estimation data, the estimated result can display the spatial distribution of the disaster information, which will effectively aid earthquake emergency response and rescues. 相似文献
44.
PRE-ASSESSMENT OF EARTHQUAKE-INDUCED LOSSES BASED ON FIELD SURVEY AND KILOMETER GRID DATASET: A CASE STUDY FROM DEHONG DAI-JINGPO AUTONOMOUS PREFECTURE 下载免费PDF全文
The pre-assessment of earthquake damage based on field surveys and grid dataset in 1km resolution is very helpful for emergency preparedness and mitigation of earthquake disaster losses.In this paper,we briefly introduced the contents,principles,methods and the results of software assessment as well as the revised results after field surveys.In addition,the emergency supplies and manpower requirements after the outbreak of earthquake are discussed.The assessment contents include the earthquake affected area and population,the amount of casualties,injuries,economic losses,and the number of population to be resettled.Scenario earthquake is set with an interval of 50 kilometers along the major faults and the losses induced by earthquake are outputted by the software.After that,the software outputs are revised based on field surveys.In addition,according to the earthquake cases happening between 2008 and 2015,the growth curve model used to estimate the demand of rescue supplies and teams is also proposed in this study.Based on this model and the software named earthquake emergency disaster rapid assessment and dynamic visualized software (NIE Gao-zhong,2014),and with the help of the statistical data such as population density and socio-economic situations,earthquake losses are pre-assessed by taking Dehong Dai-Jingpo Autonomous Prefecture as an example.The comparison shows that the actual losses are nearly the same as the software outputs.However,due to the ignorance of the casualties caused by geological disasters,the revised casualties are more than the software output.Not only the study area discussed in this paper,the earthquake loss assessment method can also be used to other regions in China. 相似文献
45.
为探索大地震发生前孕震区内微震辐射波谱的变化,在新疆西克尔地区,用选频测震仪对微震波谱进行了观测和研究。选频测震仪分为6个频道,各道中心频率分别为6.0周、8.1周、15.7周、30.0周、50.0周、75.0周。初步结果表明:在一个地震系列中,随着临近较强地震(ML≥3.2)的发生,微震P波在10周-60周频率范围内的谱值增高,其置信水平一般在70%以上。较强地震发生以后,微震P波在相应频率范围内的谱值下降。 文中还简要地分析了选频地震记录的物理意义,并对较强地震前,微震辐射波谱变化的原因作了初步说明。 相似文献
46.
贵州茂兰喀斯特森林植被演替序列的数量分析 总被引:3,自引:1,他引:3
综合运用双向指示种分析法( TWINSPAN)及除趋势对应分析法( DCA)进行分类及排序,确定了贵州茂兰国家级自然保护区森林群落的演替序列。结果表明: 根据DCA排序可将研究区植被群落的演替过程分为四个阶段,即草地→ 灌丛→乔林→顶极群落;根据TW IN SPAN分类结果可将植被分为11个群丛,其中,第Ⅰ 、Ⅱ 、Ⅲ 、Ⅳ 群丛为草本阶段,第Ⅴ 、Ⅵ 群丛为灌丛阶段,Ⅶ 、Ⅷ 、Ⅸ 群丛为乔林阶段,第Ⅹ 、Ⅺ群丛为顶极阶段。茂兰喀斯特植被演替顶极群落为亚热带常绿落叶阔叶林群落,是一种典型的地形— 土壤演替顶极,是植被与当地环境长期适应的结果。 相似文献
47.
48.
基于三维裂隙网络的裂隙岩体表征单元体研究 总被引:1,自引:0,他引:1
岩体表征单元体(REV)的研究一直是岩土工程中的重要问题。裂隙岩体REV是其内部复杂结构在尺寸效应上的体现,归因于岩体内裂隙系统的随机性。在三维网络模型的基础上通过计算体积节理数建立了确定岩体REV的方法。这种方法考虑了岩体内裂隙的三维空间密度的特征,采用体积节理数这一参数的收敛状况确定岩体REV的大小。建立了实际岩体的模拟裂隙系统,用一定大小的立方体来分割裂隙系统,统计不同立方体内的体积节理数,并将均值作为最终裂隙岩体的参数。将此参数作为裂隙岩体的属性,通过判别其收敛状况获得了岩体REV的尺寸。考虑了岩体不连续面的特征,建立了REV的分析模型,得出工程岩体的REV的尺寸是裂隙平均迹长的4倍的结论。 相似文献
49.
50.
Revelle因子不仅能反映弱碱性水体对吸收大气CO2的缓冲能力,还能体现水体酸化过程中CO2去气对H+的缓冲作用。本研究通过对多个缓冲因子的分析,探讨喀斯特中高硫煤矿区地表水碳酸盐系统对酸性矿山废水的缓冲作用,有助于进一步理解喀斯特地区流域水体中DIC循环过程和CO2源汇关系特征。结果表明,地表水碳酸盐系统内车田河流域Revelle因子变化区间在1.00~51.96之间,能有效揭示地表水碳酸盐系统内CO2去气对H+的缓冲过程,其敏感区间为pH=7.0~8.38的弱碱性水体。γDIC、βDIC、ωDIC、γAlk、βAlk、ωAlk等缓冲因子是基于pH和DIC浓度的二元方程。这些因子进一步细化了CO2(aq)、H+和${\rm{CO}}_3^{2-}$等组分对DIC浓度和碱度的相对变化关系。在pH>7.0的DIC碳酸盐体系内,6个缓冲因子对水体酸化过程中碳酸盐组分的动态转化具有很好的响应。当pH<7.0以后,水−气界面和水−岩界面的碳传输过程增强,当CO2去气过程占主导,则缓冲因子绝对值变大;当H+对碳酸盐岩溶蚀过程占主导,则缓冲因子绝对值变小。 相似文献