用RadEro模型估计土壤再分配率:R包中用于137Cs分析的基于物理的区隔模型

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Arturo Catalá, Borja Latorre, Leticia Gaspar, Ana Navas
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引用次数: 0

摘要

土壤再分配率的量化不能用传统的方法完全解决。放射性沉降核素(frn),特别是137Cs,是土壤运动的可靠示踪剂。虽然目前还没有一个通用的、基于物理的137Cs模型,但已经出现了许多使用frn来估计土壤侵蚀速率的模型。我们提出了RadEro模型,该模型旨在利用基于Soto和Navas(2004,2008)的质量平衡模型的切片或块状土壤剖面,估算耕作和未扰动土壤中137Cs库存的土壤再分配率。该模型是在一个R包中构建的,它提供了清晰的绘图和结果表示,同时保持了用户友好的格式和开源代码。RadEro模型通过137Cs的细粒密度、有效体积和垂直扩散过程来考虑年沉降、放射性衰变、石质性。RadEro模型通过剖面和块状土壤剖面进行了验证,在模拟实验库存方面具有很高的可靠性,从而实现了有效的土地管理决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package

Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
Quantifying soil redistribution rates cannot be fully addressed by conventional methodologies. Fallout radionuclides (FRNs), particularly 137Cs, serve as reliable tracers of soil movement. Numerous models have emerged to estimate soil erosion rates using FRNs, though a versatile, physically-based 137Cs model remains absent. We present RadEro, a model designed to estimate soil redistribution rates from 137Cs inventories in both ploughed and undisturbed soils, using sectioned or bulk soil profiles based on the mass balance model by Soto and Navas (2004, 2008). The model is built within an R package that offers clear plotting and presentation of results while maintaining a user-friendly format and open-source code. RadEro model accounts for annual 137Cs fallout, radioactive decay, stoniness through fine fraction density and effective volume of 137Cs and vertical diffusion processes. The RadEro model, validated through sectioned and bulk soil profiles, demonstrates high reliability in simulating experimental inventories, enabling effective land management decisions.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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