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DOI | 10.1029/2021WR030886 |
LPMLEn – A frequency domain method to estimate vertical streambed fluxes and sediment thermal properties in semi-infinite and bounded domains | |
Ricky van Kampen; Uwe Schneidewind; Christian Anibas; Andrea Bertagnoli; Daniele Tonina; Gerd Vandersteen; Charles Luce; Stefan Krause; Matthijs van Berkel | |
2022-02-14 | |
发表期刊 | Water Resources Research |
出版年 | 2022 |
英文摘要 | This paper presents the LPMLEn, a new method to estimate vertical flux and thermal diffusivity from streambed temperature time-series using the frequency domain. The main advantages of this new method are: (1) the use of multiple frequencies and multiple sensors for the parameter estimation; (2) noise/uncertainty handling in an optimal way; (3) the possibility to estimate the parameters with both semi-infinite and bounded domain models; and (4) the compensation for temperature drifts in the data known as transients. The capabilities of the LPMLEn are demonstrated using both synthetic and field data, highlighting the advantages of the bounded domain model over the semi-infinite domain model in the parameter estimation process. This article is protected by copyright. All rights reserved. |
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/346707 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Ricky van Kampen,Uwe Schneidewind,Christian Anibas,等. LPMLEn – A frequency domain method to estimate vertical streambed fluxes and sediment thermal properties in semi-infinite and bounded domains[J]. Water Resources Research,2022. |
APA | Ricky van Kampen.,Uwe Schneidewind.,Christian Anibas.,Andrea Bertagnoli.,Daniele Tonina.,...&Matthijs van Berkel.(2022).LPMLEn – A frequency domain method to estimate vertical streambed fluxes and sediment thermal properties in semi-infinite and bounded domains.Water Resources Research. |
MLA | Ricky van Kampen,et al."LPMLEn – A frequency domain method to estimate vertical streambed fluxes and sediment thermal properties in semi-infinite and bounded domains".Water Resources Research (2022). |
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