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通过现代树木年轮中的放射性碳浓度推断城市地区人为二氧化碳的变化。

Variations of anthropogenic CO2 in urban area deduced by radiocarbon concentration in modern tree rings.

作者信息

Rakowski Andrzej Z, Nakamura Toshio, Pazdur Anna

机构信息

Center for Chronological Research, Nagoya University, Chikusa, Nagoya 464-8602, Japan.

出版信息

J Environ Radioact. 2008 Oct;99(10):1558-65. doi: 10.1016/j.jenvrad.2007.12.007. Epub 2008 Feb 12.

Abstract

Radiocarbon concentration in the atmosphere is significantly lower in areas where man-made emissions of carbon dioxide occur. This phenomenon is known as Suess effect, and is caused by the contamination of clean air with non-radioactive carbon from fossil fuel combustion. The effect is more strongly observed in industrial and densely populated urban areas. Measurements of carbon isotope concentrations in a study area can be compared to those from areas of clear air in order to estimate the amount of carbon dioxide emission from fossil fuel combustion by using a simple mathematical model. This can be calculated using the simple mathematical model. The result of the mathematical model followed in this study suggests that the use of annual rings of trees to obtain the secular variations of 14C concentration of atmospheric CO2 can be useful and efficient for environmental monitoring and modeling of the carbon distribution in local scale.

摘要

在存在人为二氧化碳排放的地区,大气中的放射性碳浓度显著降低。这种现象被称为苏士效应,它是由化石燃料燃烧产生的非放射性碳污染清洁空气所致。在工业和人口密集的城市地区,这种效应更为明显。通过一个简单的数学模型,可以将研究区域内碳同位素浓度的测量值与清洁空气区域的测量值进行比较,以估算化石燃料燃烧产生的二氧化碳排放量。这可以使用该简单数学模型来计算。本研究采用的数学模型结果表明,利用树木年轮获取大气二氧化碳中14C浓度的长期变化,对于局部尺度的环境监测和碳分布建模可能是有用且有效的。

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