Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026588 |
Cosmic‐ray neutron soil moisture estimation using physically‐based site‐specific conversion functions | |
Mie Andreasen; Karsten H. Jensen; Heye Bogena; Darin Desilets; Marek Zreda; Majken C. Looms | |
2020-10-17 | |
发表期刊 | Water Resources Research
![]() |
出版年 | 2020 |
英文摘要 | In order to advance the use of the cosmic‐ray neutrons (CRNs) to map soil moisture in heterogeneous landscapes, we need to develop a methodology that reliably estimates soil moisture without having to collect 100+ soil samples for each point along the survey route. In this study, such an approach is developed using physically‐based modeling with the numerical MCNP neutron transport code. The objective is to determine site‐specific conversion functions to estimate soil moisture from CRNs for the dominant land covers. Here, we assess this methodology at three field sites with similar mineral soil composition, but different land covers. First, we ensure that the developed models capture the most important differences in neutron transport behavior across sites. For this, we use measured time‐series and height profiles of thermal and epithermal neutrons. Then, we compare the estimates obtained from the site‐specific conversion functions with the standard N0‐calibration function. Finally, we compare the CRN soil moisture estimates with independent soil moisture estimates. Overall, the site‐specific models are in agreement with the observed trends in neutron intensities. The site‐specific soil moisture is similar to the N0‐estimated soil moisture, which results in comparable statistical measures. We show that various land covers have a significant impact on the amount and soil moisture sensitivity of epithermal neutrons, while the thermal neutrons are affected to a less degree. Thereby, thermal‐to‐epithermal neutron ratios can be used to identify the land cover type, and thereby the appropriate conversion function for soil moisture estimation for each point along the survey route. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/299239 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Mie Andreasen,Karsten H. Jensen,Heye Bogena,等. Cosmic‐ray neutron soil moisture estimation using physically‐based site‐specific conversion functions[J]. Water Resources Research,2020. |
APA | Mie Andreasen,Karsten H. Jensen,Heye Bogena,Darin Desilets,Marek Zreda,&Majken C. Looms.(2020).Cosmic‐ray neutron soil moisture estimation using physically‐based site‐specific conversion functions.Water Resources Research. |
MLA | Mie Andreasen,et al."Cosmic‐ray neutron soil moisture estimation using physically‐based site‐specific conversion functions".Water Resources Research (2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论