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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Sulfate source inventories from a Svalbard ice core record spanning the Industrial Revolution
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Sulfate source inventories from a Svalbard ice core record spanning the Industrial Revolution

机译:跨越工业革命的斯瓦尔巴德冰芯记录中的硫酸盐源清单

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The 800-year sulfate record from Lomonosovfonna was analyzed by a novel multiple linear regression algorithm that attempts to explain sulfate variability in terms of other chemical species measured in the core and sulfur emission inventories. We use three statistical approaches to determine sulfate sources. We examine trends using singular spectrum analysis with confidence intervals, finding clear evidence that anthropogenic sources are important but not dominant; we use cross-wavelet coherence to examine significant multidecadal covariance in terrestrial sulfate; but our main tool is multiple regression analysis of the sulfate dependency on other ions and anthropogenic emission inventories. Models are fitted in a moving time window of typically 50 years length, explaining 80% of the sulfate variance. A suite of model predictors are examined, and the variation in relative magnitudes of the model coefficients along the core can be used to infer variations in the strength of various sulfate sources. We observe large changes in sulfate sources at the end of the Little Ice Age associated with changes in Barents Sea marine productivity, changes in North Atlantic sulfate input and a long-lasting period of disturbance caused by the large Laki volcanic eruption. Modeling sulfur emission inventories shows that western Europe contributes about 15% of the sulfate budget, with essentially no input from other regions, in contrast with predictions from global circulation models incorporating sulfur chemistry. Multidecadal cycles are mainly confined to the Little Ice Age and most likely associated with increased storminess and enhanced deposition of both marine aerosol and biogenic sulfate from the Atlantic Ocean. The model residuals do not show a normal distribution but display very large spikes. Unexpectedly, those significant at the 99% level can be closely matched to major volcanic eruptions using independent dating methods. The 20th century sulfate in the core is inventoried as sea salt (15%), terrestrial (10%), volcanic (5–10%), western European anthropogenic (10–25%), Barents Sea biogenic (20–40%), and Atlantic biogenic (10–15%).
机译:通过新颖的多元线性回归算法分析了Lomonosovfonna的800年硫酸盐记录,该算法试图根据岩心和硫排放清单中测得的其他化学物种来解释硫酸盐的变异性。我们使用三种统计方法来确定硫酸盐来源。我们使用具有置信区间的奇异频谱分析检查趋势,找到明确的证据表明人为来源很重要,但不是主要来源。我们使用交叉小波相干检验陆地硫酸盐的显着多年代协方差;但是我们的主要工具是对硫酸盐对其他离子和人为排放量的依赖关系进行多元回归分析。模型安装在通常为50年的移动时间窗口中,解释了80%的硫酸盐变化。检验了一组模型预测变量,沿着核心的模型系数的相对大小的变化可用于推断各种硫酸盐源强度的变化。在小冰期结束时,我们观察到硫酸盐来源发生了巨大变化,这与巴伦支海海洋生产力的变化,北大西洋硫酸盐输入量的变化以及由大拉基火山喷发引起的长期扰动有关。硫排放清单模型显示,西欧贡献了约15%的硫酸盐预算,而基本上没有其他地区的投入,这与含硫化学的全球循环模型的预测相反。多年代的周期主要局限于小冰期,最有可能与暴风雨的增加以及来自大西洋的海洋气溶胶和生物硫酸盐的沉积增加有关。模型残差不显示正态分布,但显示非常大的峰值。出乎意料的是,使用独立的测年方法,那些达到99%显着水平的火山可以与主要的火山喷发紧密匹配。清单中的20世纪硫酸盐的清单为海盐(15%),陆地(10%),火山(5–10%),西欧人为(10–25%),巴伦支海生物成因(20–40%)以及大西洋生物成因(10–15%)。

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