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The future trajectory of greenhouse gas concentrations depends on interactions between climate and the biogeosphere. Thawing of Arctic permafrost could release significant amounts of carbon into the atmosphere in this century. Ancient Ice Complex deposits outcropping along the ~7,000-kilometre-long coastline of the East Siberian Arctic Shelf (ESAS), and associated shallow subsea permafrost, are two large pools of permafrost carbon, yet their vulnerabilities towards thawing and decomposition are largely unknown. Recent Arctic warming is stronger than has been predicted by several degrees, and is particularly pronounced over the coastal ESAS region. There is thus a pressing need to improve our understanding of the links between permafrost carbon and climate in this relatively inaccessible region. Here we show that extensive release of carbon from these Ice Complex deposits dominates (57?±?2 per cent) the sedimentary carbon budget of the ESAS, the world’s largest continental shelf, overwhelming the marine and topsoil terrestrial components. Inverse modelling of the dual-carbon isotope composition of organic carbon accumulating in ESAS surface sediments, using Monte Carlo simulations to account for uncertainties, suggests that 44?±?10 teragrams of old carbon is activated annually from Ice Complex permafrost, an order of magnitude more than has been suggested by previous studies. We estimate that about two-thirds (66?±?16 per cent) of this old carbon escapes to the atmosphere as carbon dioxide, with the remainder being re-buried in shelf sediments. Thermal collapse and erosion of these carbon-rich Pleistocene coastline and seafloor deposits may accelerate with Arctic amplification of climate warming.  相似文献   
2.
提出TCP/IP在过程控制中的应用. 评价TCP/IP控制系统性能,通过传统控制系统与TCP/IP控制系统的比较,指出采用TCP/IP 控制系统的优缺点. 说明过程控制技术中,采用TCP/IP是一种更好的选择.  相似文献   
3.
跳跃点统计检测的小波方法及其在金融汇率中的应用1)黄香叶维彰(香港理工大学应用数学系,香港,九龙)栾贻会谢衷洁(北京大学数学学院概率统计系,北京,100871)关键词小波;跃点检测;汇率中图分类号O211;O2120引言近年来,小波分析已引入到统计领...  相似文献   
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人工神经网络及其在金融预报中的应用   总被引:5,自引:0,他引:5  
讨论了人工神经网络在金融汇率预报中的应用。其中介绍了广义交互验证(Generalized Cross Validation)法如何应用于确定神经网络中隐层的个数,并用实例说明了该方法甚至对复杂的非线性函数也可以得到很好的逼近。详细地介绍了运用人工神经网络作两周向前汇率预报的计算步骤。其平均相对误差(APE)为10*E-3的数量级,而国际上通用的状态空间模型及Box-Jenkins的ARIMA模型的预报误差都在10*E-2的数量级。  相似文献   
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关于J-效应的时间序列分析及其政策性实验   总被引:4,自引:0,他引:4  
1问题的提出 在国际金融书刊中,当谈及国际收支理论时都会介绍J-效应或J-曲线现象,如钱荣[1]书中就在弹性理论下介绍了J-效应:"在短期内,贬值并不能立即引起贸易数量的变化,从进出口商品相对价格的变动到贸易数量的增减需要经过一段时间,即存在时滞……贬值并不能带来国际收支改善,反而可能导致其恶化,后来学者将这一现象称为"J型曲线",象征贬值后国际收支差额的时间规迹."  相似文献   
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