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Using grain-size characteristics to model soil water content: Application to dose-rate calculation for luminescence dating

机译:利用粒度特征对土壤水分进行建模:在发光测年剂量率计算中的应用

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Soil moisture is an important factor for dose-rate determination in luminescence and other dating methods as soil water content impacts sediment bulk density, alters rates of chemical reactions and attenuates effective exposure to nuclear radiation from the surrounding sediments and incoming cosmic rays. Given its importance in dose-rate calculation, methods for measuring and modeling soil water content are discussed, with special focus on semi-arid environments and other situations where modern in situ values are unlikely to be representative of mean soil moisture conditions. We present an alternative method for calculating sediment water content based on grain-size characteristics using the freely available Rosetta Lite v.1.1 software. Modeled outputs include saturation, residual and other water retention curve (WRC) parameters. WRCs were generated from model outputs using the van Genuchten (1980) equation, and mean annual water state was determined using soil moisture regime maps and classifications. Dose-rate values using modeled outputs and laboratory-measured in situ and saturation water content are compared in a test case using Holocene alluvial sediments from Kanab Creek in southern Utah, USA. Best practices for how to estimate mean annual water state for different soil moisture regimes and past soil moisture content in situations where in situ values are not representative of the burial history are discussed. (C) 2015 Elsevier Ltd. All rights reserved.
机译:土壤水分是确定发光和其他测年方法中剂量率的重要因素,因为土壤水分会影响沉积物的堆积密度,改变化学反应的速度并减弱周围沉积物和入射宇宙射线对核辐射的有效暴露。鉴于其在剂量率计算中的重要性,讨论了测量和建模土壤水分含量的方法,特别关注半干旱环境和其他情况,这些情况下现代原位值不太可能代表平均土壤湿度条件。我们提供了使用免费提供的Rosetta Lite v.1.1软件基于粒度特征计算沉积物水分的另一种方法。建模输出包括饱和度,残留量和其他保水曲线(WRC)参数。使用van Genuchten(1980)方程从模型输出中生成WRC,并使用土壤水分状况图和分类确定年平均水状态。在一个使用美国犹他州南部卡纳布溪全新世冲积沉积物的测试案例中,比较了使用模拟输出和实验室测量的原位和饱和水含量的剂量率值。讨论了在原位值不代表埋葬历史的情况下,如何估算不同土壤水分状况和过去土壤水分含量的年平均水状况的最佳实践。 (C)2015 Elsevier Ltd.保留所有权利。

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