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121.
新疆东准噶尔卡拉麦里金矿带是新疆重要的金成矿带之一,相关学者开展了大量的生产和科研工作,取得了丰硕的找矿成果,积累了大量的研究。近年来,随着向深部探测工作的兴起和成矿预测方法的不断成熟,由定性研究向定量研究成为一种必然选择。研究在以往科研成果综合研究的基础上,建立基于ArcGis平台的数据库,应用证据权法开展卡拉麦里金矿带断层与金矿化空间定量评价研究,研究表明断层距离和断层密度为重要的证据权因子,断层距离在0~1500 m范围内,成矿作用最强,随着距离的增大,成矿作用变弱。断层密度在0.26~0.66为中高有利成矿区域。该研究成果对卡拉麦里金矿带深部及外围的找矿工作具有重要意义。 相似文献
122.
《Proceedings of the Geologists' Association. Geologists' Association》2017,128(2):173-179
The concept that Rannoch Moor, the centre of the Younger Dryas (YD), West Highland Icefield, was deglaciated as early as 12.5 cal ka BP is discussed in the light of radiocarbon dates and varve sequences from outlet glaciers of this icefield, and climate change during the YD. The maximum positions of three YD glaciers were reached after 11.6–11.8 cal ka BP (Lomond), and after 11.8–11.9 cal ka BP (Spean and Treig) indicating that ice remained on Rannoch Moor until long after c.12.5 cal ka BP, and possibly until the YD/Holocene transition at c.11.7 cal ka BP. Further, the Spean glacier dammed a proglacial lake in Lochaber for at least 495 varve years over a period that included the deposition of the Vedde Ash (c.12.1 cal ka BP) and a late YD ash layer (c. 11.7–11.2 cal ka BP), a thesis at variance with supposed early YD deglaciation. Recent examination of this issue using 10Be exposure age determinations from Rannoch Moor is equivocal. In view of the presence of hard water algae at the sampling site on Rannoch Moor it is recommended that the ‘early’ 14C dates from Rannoch Moor need to be further reassessed using chronological constraints provided by dated microtephra, and a collaborative radiocarbon dating programme. 相似文献
123.
抚顺—清原地区是辽宁省最重要的铜矿产地,但近年来资源量急剧减少,开展铜矿资源进一步找矿工作已十分紧迫。文章依托"辽宁省铜矿资源潜力评价"和"辽宁省矿产地质志"项目所收集到的地、物、化、遥、自然重砂等资料,在建立红透山式铜矿找矿模型、提取证据因子的基础上,应用MRAS软件的证据权重模型模块对抚顺—清原地区红透山式铜矿进行矿产预测。共圈定找矿远景区10个,以计算得到的后验概率(P)将其划分为Ⅰ级找矿远景区4个、Ⅱ级找矿远景区3个、Ⅲ级找矿远景区3个;并利用找矿信息量预测等值线图和色块图对预测成果进行了表达。 相似文献
124.
An analysis of 3D seismic data from the Zhongjiannan Basin in the western margin of the South China Sea (SCS) reveals seismic evidence of gas hydrates and associated gases, including pockmarks, a bottom simulating reflector (BSR), enhanced reflection (ER), reverse polarity reflection (RPR), and a dim amplitude zone (DAZ). The BSR mainly surrounds Zhongjian Island, covering an area of 350 km2 in this 3D survey area. The BSR area and pockmark area do not match each other; where there is a pockmark developed, there is no BSR. The gas hydrate layer builds upward from the base of the stability zone with a thickness of less than 100 m. A mature pockmark usually consists of an outside trough, a middle ridge, and one or more central pits, with a diameter of several kilometers and a depth of several hundreds of meters. The process of pockmark creation entails methane consumption. Dense faults in the study area efficiently transport fluid from large depths to the shallow layer, supporting the formation of gas hydrate and ultimately the pockmark. 相似文献
125.
Model performance assessment is a key procedure for mineral potential mapping, but the corresponding research achievements are seldom reported in literature.Cumulative gain and lift charts are well known in the data mining community specialized in marketing and sales applications and widely used in customer churn prediction for model performance assessment.In this paper, they are introduced into the field of mineral potential mapping for model performance assessment.These two charts can be viewed as a graphic representation of the advantage of using a predictive model to choose mineral targets.A cumulative gain curve can represent how much a predictive model is superior to a random guess in mineral target prediction.A lift chart can express how much more likely the mineral targets predicted by a model are deposit-bearing ones than those by a random selection.As an illustration, the cumulative gain and lift charts are applied to measure the performance of weights of evidence, logistic regression, restricted Boltzmann machine, and multilayer perceptron in mineral potential mapping in the Altay district in northern Xinjiang in China.The results show that the cumulative gain and lift charts can visually reveal that the first three models perform well while the last one performs poorly.Thus, the cumulative gain and lift charts can serve as a graphic tool for model performance assessment in mineral potential mapping. 相似文献
126.
为提高基于模态参数的损伤识别方法的损伤敏感性和噪声鲁棒性,将多源数据融合技术引入到苏通大桥主梁损伤定位方法中。基于D-S证据理论对模态柔度和模态应变能指标进行数据融合,并以苏通大桥扁平钢箱梁为分析对象,对融合后损伤定位指标的应用效果进行了讨论。结果表明:基于数据融合的损伤定位方法具有较强的损伤敏感性,只需要较少的低阶模态信息就能识别主梁的早期损伤;数据融合后,损伤定位指标可以在较强的噪声环境下准确地识别斜拉桥钢箱梁的损伤,具有较好的工程实用性。 相似文献
127.
青海北巴颜喀拉成矿带基于专家证据权重法锑金矿资源潜力评价 总被引:1,自引:0,他引:1
青海北巴颜喀拉成矿带虽然总体研究程度低,但显示出巨大的找矿潜力,急需寻求新的找矿突破。利用前人的地质、矿产、化探等资料,建立了青海北巴颜喀拉成矿带基于GIS的空间数据库。在此基础上重新建立了研究区锑金矿区域找矿模型,其中主要找矿标志包括金水系沉积物异常、锑水系沉积物异常、砷水系沉积物异常、重砂异常、NW-NWW向线性构造和巴颜喀拉山群。采用作者提出的专家证据权重法,对研究区首次进行了基于GIS下的专家证据权重法矿产资源评价工作。据此重新圈定找矿远景区和找矿靶区,将后验概率大于0.001的区域作为找矿远景区,将后验概率大于0.005的区域作为找矿靶区;并依据找矿靶区内预测含矿区域后验概率二重积分大小,将找矿靶区的找矿潜力级别由高到低分别划分为A 、B 、C 3级,其中A级6处,B级10处,C级13处。 相似文献
128.
巨量天然气水合物广泛赋存于大陆坡海底和高纬度永久冻土带沉积物中,是重要的环境影响因素。有些地质历史时期发生的重大地质灾变可能是由天然气水合物分解释放甲烷引起的。持续时间短暂且显著的全球性海相和陆相碳同位素的负漂移、甲烷起源的极负碳酸盐岩碳同位素值(特别是δ13C<-40‰)、碳酸盐岩溶解、指示甲烷浓度异常的生物标志化合物、生物成因重晶石富集、类似冷泉碳酸盐岩发育的特殊沉积组构、海底垮塌及碳酸盐结晶扇(如文石)等是支持天然气水合物分解“假说”的主要证据。但这些证据还存在一定的局限性,该“假说”仍然存在较大的争论,因此需要进一步深入研究。 相似文献
129.
130.
Evaluation of Weights of Evidence to Predict Epithermal-Gold Deposits in the Great Basin of the Western United States 总被引:7,自引:0,他引:7
The weights-of-evidence method provides a simple approach to the integration of diverse geologic information. The application addressed is to construct a model that predicts the locations of epithermal-gold mineral deposits in the Great Basin of the western United States. Weights of evidence is a data-driven method requiring known deposits and occurrences that are used as training sites in the evaluated area. Four hundred and fifteen known hot spring gold–silver, Comstock vein, hot spring mercury, epithermal manganese, and volcanogenic uranium deposits and occurrences in Nevada were used to define an area of 327.4 km2 as training sites to develop the model. The model consists of nine weighted-map patterns that are combined to produce a favorability map predicting the distribution of epithermal-gold deposits. Using a measure of the association of training sites with predictor features (or patterns), the patterns can be ranked from best to worst predictors. Based on proximity analysis, the strongest predictor is the area within 8 km of volcanic rocks younger than 43 Ma. Being close to volcanic rocks is not highly weighted, but being far from volcanic rocks causes a strong negative weight. These weights suggest that proximity to volcanic rocks define where deposits do not occur. The second best pattern is the area within 1 km of hydrothermally altered areas. The next best pattern is the area within 1 km of known placer-gold sites. The proximity analysis for gold placers weights this pattern as useful when close to known placer sites, but unimportant where placers do not exist. The remaining patterns are significantly weaker predictors. In order of decreasing correlation, they are: proximity to volcanic vents, proximity to east-west to northwest faults, elevated airborne radiometric uranium, proximity to northwest to west and north-northwest linear features, elevated aeromagnetics, and anomalous geochemistry. This ordering of the patterns is a function of the quality, applicability, and use of the data. The nine-pattern favorability map can be evaluated by comparison with the USGS National Assessment for hot spring gold–silver deposits. The Spearman's ranked correlation coefficient between the favorability and the National Assessment permissive tracts is 0.5. Tabulations of the areas of agreement and disagreement between the two maps show 74% agreement for the Great Basin. The posterior probabilities for 51 significant deposits in the Great Basin, both used and not used in the model, show the following: 26 classified as favorable; 25 classified as permissive; and 1, Florida Canyon, classified as nonpermissive.The Florida Canyon deposit has a low favorability because there are no volcanic rocks near the deposit on the Nevada geologic map used. The largest areas of disagreement are caused by the USGS National Assessment team concluding that volcanic rocks older than 27 Ma in Nevada are not permissive, which was not assumed in this model. The weights-of-evidence model is evaluated as reasonable and delineates permissive areas for epithermal deposits comparable to expert's delineation. The weights-of-evidence model has the additional characteristics that it is well defined, reproducible, objective, and provides a quantitative measure of confidence. 相似文献