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101.
Graphite is one of the most essential non-metallic minerals with a wide variety of uses, and is an important commodity used in the emerging industry of China. Graphite is sourced from 170 mine areas in China from 25 provinces. This contribution is on a study of 15 regions in China with known graphite resources based on the spatial and temporal analyses of the regional metamorphic, contact metamorphic, and hydrothermal types of graphite. The knowledge gained on the metallogenesis of graphite in China is used to develop a model for choosing prospective regions for graphite, and to target areas for detailed exploration. It outlined 28 prediction areas with predicted graphite resources of about 1.63 billion tonnes to a maximum depth of 500 m in the Heilongjiang, Jilin, Liaoning, Shandong, Inner Mongolia and Hunan provinces. And of these, the predicted flake graphite resources in the Heilongjiang Province has been totalling almost a billion tonnes representing almost 60% of China’s graphite resource. As a result of this study, it is concluded that graphite has been formed during restricted periods of time, with the regional metamorphic type being the main style present in China.  相似文献   
102.
分析了1988~2006年中62个典型的太阳质子事件,发现其归一化后峰值流量变化具有很好的统计规律,根据该规律提出了一种对太阳质子事件峰值流量进行预报的方法.试验预报结果表明,太阳质子事件峰值流量的预报值和实测值都在同一个量级以内,平均相对误差为32%,预报误差在可接受范围内.本文方法对于日常预报业务而言是实用和可行的.  相似文献   
103.
Landslides are one of the most serious geological disasters in the world and happen quite frequently in the Three Gorges. Landslide prediction is a very important measure of landslide prevention and cure in the Three Gorges. Traditional methods lack in sufficiently mining the various complex information from a landslide system. They often need much manual intervention and possess poor intelligence and accuracy. An intelligent method proposed in this paper for landslide prediction based on an object-oriented method and knowledge driving is hopeful to solve the above problem. The method adopted Landsat ETM+ images, 1:50,000 geological map and 1:10,000 relief map in the Three Gorges as the data origins. It firstly produced the key factors influencing landslide development and used multi-resolution segmentation algorithm to segment the image objects based on the key landslide factors of engineering rock group, reservoir water fluctuation, slope structure and slope level. Secondly, the method chose some sample objects and adopted the decision tree algorithm C5.0 to mine the landslide forecast criteria according to the factor values of each sample object. Finally, under knowledge driving the method classified the image objects and realized landslide susceptibility analysis and intelligent prediction in the Three Gorges. The method proposed in this paper is object-oriented. Results of a real-world example show that: (1) the object-oriented method possesses much more compact knowledge representation, higher efficiency, more continuous classifying result and higher prediction accuracy compared with the pixel-oriented method; (2) it possesses the overall accuracy of 87.64% and kappa coefficient of 0.8305 and is more accurate than the other seven methods (such as the pixel-oriented methods of Parallelpiped, Minimum Distance, Maximum Likelihood, Mahalanobis Distance, K-means and Isodata and the object-oriented method of Nearest Neighbor); (3) about 46.97% landslides lie in the high susceptibility region, 24.24% landslides lie in the moderate susceptibility region, 27.27% landslides lie in the low susceptibility region and 1.52% landslides lie in the very low susceptibility region. Therefore the method can effectively realize landslide susceptibility analysis and provides a new idea for landslide intelligent and accurate prediction.  相似文献   
104.
张琳琳  聂晓红  刘建明  魏芸芸  刘萍 《地震》2016,36(4):205-214
本文从新疆南天山西段地区映震效果较好的预测指标出发, 采用AHP(Analytic Hierarchy Process, 层次分析法)建立了新疆南天山西段地区预测指标体系。 在此基础上, 应用1~9比率标度法构建相应的判断矩阵, 进而计算各指标的权重。 结果显示, 几项映震效果较好的指标中, 权重值相对较大的是短期预测指标中的形变异常和部分测震学参数。 同时AHP模型也给出了新疆南天山西段有无中强地震的综合判断指标Y, Y值可较好地反映新疆南天山西段地区中强地震的震兆强弱程度和异常可靠性, 当Y≥2.191时, 新疆南天山西段地区短期内存在发生中强地震的危险。  相似文献   
105.
106.
How to accurately address model uncertainties with consideration of the rapid nonlinear error growth characteristics in a convection-allowing system is a crucial issue for performing convection-scale ensemble forecasts. In this study, a new nonlinear model perturbation technique for convective-scale ensemble forecasts is developed to consider a nonlinear representation of model errors in the Global and Regional Assimilation and Prediction Enhanced System (GRAPES) Convection-Allowing Ensemble Prediction System (CAEPS). The nonlinear forcing singular vector (NFSV) approach, that is, conditional nonlinear optimal perturbation-forcing (CNOP-F), is applied in this study, to construct a nonlinear model perturbation method for GRAPES-CAEPS. Three experiments are performed: One of them is the CTL experiment, without adding any model perturbation; the other two are NFSV-perturbed experiments, which are perturbed by NFSV with two different groups of constraint radii to test the sensitivity of the perturbation magnitude constraint. Verification results show that the NFSV-perturbed experiments achieve an overall improvement and produce more skillful forecasts compared to the CTL experiment, which indicates that the nonlinear NFSV-perturbed method can be used as an effective model perturbation method for convection-scale ensemble forecasts. Additionally, the NFSV-L experiment with large perturbation constraints generally performs better than the NFSV-S experiment with small perturbation constraints in the verification for upper-air and surface weather variables. But for precipitation verification, the NFSV-S experiment performs better in forecasts for light precipitation, and the NFSV-L experiment performs better in forecasts for heavier precipitation, indicating that for different precipitation events, the perturbation magnitude constraint must be carefully selected. All the findings above lay a foundation for the design of nonlinear model perturbation methods for future CAEPSs.  相似文献   
107.
辽河流域属于气候变暖较为显著区域,增温幅度比全球和全国的增温幅度都要高。同时辽河流域也是水资源较为匮乏且需求量大的地区,因此气候变化对水资源影响问题也更值得关注。基于长期历史观测气象水文数据和未来不同情景下气候变化预估资料,建立评估气候变化与径流量的关系,预估未来气候变化对径流量的可能影响,为辽河流域应对气候变化决策提供科学依据。结果表明:1961—2020年,辽河流域气温为持续上升趋势,降水没有明显的增减趋势,但存在阶段性变化;辽河流域降水量与径流量有较好的相关关系,具有较为一致的长期变化趋势与特征,年降水量与径流量相关数达到0.6以上。日降水量与径流量相关分析表明,降水发生后次日且为大雨降水等级(即日降水量≥25 mm)时,两者相关系数可高达0.85;敏感性试验和模式模拟试验表明,径流量对气候变化有明显的响应,降水增加(减少)、气温降低(升高),则径流量增加(减少);在未来RCP8.5排放情景下气温升高趋势最为明显,未来径流量也为显著增加趋势;RCP2.6排放情景下气温增加的幅度最小,未来径流量也表现为无明显增减趋势;RCP4.5情景下,气温增加的幅度居中,未来径流量则为减少趋势。  相似文献   
108.
邱玉荣  王晓青  郑友华  丁香  李智 《地震》2011,31(3):27-36
理论研究和实际预测表明地震空间分布非均匀性指标Cv值是一种有效的预测指标.但目前使用的Cv值在同一信度水平下,其置信区间大小与空间分布的事件样本数大小有关,不便于结果的分析比较.本文在Cv值基础上定义了一个新的预测指标Kcv,并基于强震时空概率增益预测模型及其单项预测方法预测效能检验的方法,依据亚洲地震重点研究区近20...  相似文献   
109.
工业化和城市化是中国未来的两大发展趋势.以往对中国未来能源消费及碳排放的预测大都是从工业化层面出发,忽略了城市化过程导致的生活能源消费的巨大增量.推动城市化进程是提升生活质量、满足人的基本权利的重要手段;立足城市化进程,保障人均能源消费及碳排放空间是确保人人享有基本的生存权和发展权的重要基础.从对中国城市化进程的发展态...  相似文献   
110.
基于层次分析法的隧道综合地质预报优化   总被引:1,自引:0,他引:1  
隧道综合地质预报是解决隧道施工期地质问题、降低施工风险的一项重要技术手段.鉴于目前综合预报多为简单的数量上的综合,为更加有效地利用综合预报技术,首先归纳地质分析辨识常见不良地质体的方法,通过地质分析法初步判定隧道掌子面前方可能存在的地质异常,并结合层次分析法的基本思路,将影响预报手段的指标量化,即赋予预报方法权重,建立...  相似文献   
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