کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1883267 1533409 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using grain-size characteristics to model soil water content: Application to dose-rate calculation for luminescence dating
ترجمه فارسی عنوان
با استفاده از ویژگی های اندازه دانه برای مدل سازی محتوای آب خاک: استفاده از محاسبه ضریب هدایت برای دوستیابی نورانی
کلمات کلیدی
محتوای آب، تعیین میزان دز، دوستیابی لومینسانس، متوسط ​​سالانه آب رژیم رطوبت خاک
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم تشعشع
چکیده انگلیسی


• Using grain size characteristics to generate water retention curves.
• Saturation water content was estimated using laboratory and computer modeling.
• In situ water content is compared with the model outputs.
• Dose-rate variability with new water content estimates is evaluated.

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Radiation Measurements - Volume 81, October 2015, Pages 142–149
نویسندگان
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