Suppr超能文献

元素从土壤到植物的非线性转移:对放射生态建模的影响

Nonlinear transfer of elements from soil to plants: impact on radioecological modeling.

作者信息

Tuovinen Tiina S, Kolehmainen Mikko, Roivainen Päivi, Kumlin Timo, Makkonen Sari, Holopainen Toini, Juutilainen Jukka

机构信息

Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.

出版信息

Radiat Environ Biophys. 2016 Aug;55(3):393-400. doi: 10.1007/s00411-016-0655-4. Epub 2016 Jun 4.

Abstract

In radioecology, transfer of radionuclides from soil to plants is typically described by a concentration ratio (CR), which assumes linearity of transfer with soil concentration. Nonlinear uptake is evidenced in many studies, but it is unclear how it should be taken into account in radioecological modeling. In this study, a conventional CR-based linear model, a nonlinear model derived from observed uptake into plants, and a new simple model based on the observation that nonlinear uptake leads to a practically constant concentration in plant tissues are compared. The three models were used to predict transfer of (234)U, (59)Ni and (210)Pb into spruce needles. The predictions of the nonlinear and the new model were essentially similar. In contrast, plant radionuclide concentration was underestimated by the linear model when the total element concentration in soil was relatively low, but within the range commonly observed in nature. It is concluded that the linear modeling could easily be replaced by a new approach that more realistically reflects the true processes involved in the uptake of elements into plants. The new modeling approach does not increase the complexity of modeling in comparison with CR-based linear models, and data needed for model parameters (element concentrations) are widely available.

摘要

在放射生态学中,放射性核素从土壤到植物的转移通常用浓度比(CR)来描述,该浓度比假定转移与土壤浓度呈线性关系。许多研究已证明存在非线性吸收,但在放射生态模型中应如何考虑这一点尚不清楚。在本研究中,对基于传统CR的线性模型、从观察到的植物吸收情况推导得出的非线性模型以及基于非线性吸收导致植物组织中浓度实际恒定这一观察结果的新简单模型进行了比较。这三个模型用于预测²³⁴U、⁵⁹Ni和²¹⁰Pb向云杉针叶的转移。非线性模型和新模型的预测结果基本相似。相比之下,当土壤中元素总浓度相对较低但在自然界常见范围内时,线性模型会低估植物中的放射性核素浓度。得出的结论是,线性建模很容易被一种能更真实反映元素吸收到植物中所涉及真实过程的新方法所取代。与基于CR的线性模型相比,新的建模方法不会增加建模的复杂性,并且模型参数所需的数据(元素浓度)广泛可得。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验