DOI: 10.5194/hess-20-3411-2016
Scopus记录号: 2-s2.0-84984788031
论文题名: Technical note: Fourier approach for estimating the thermal attributes of streams
作者: Ryo M ; , Leys M ; , Robinson C ; T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 8 起始页码: 3411
结束页码: 3418
语种: 英语
Scopus关键词: Extrapolation
; Fourier analysis
; Linear relationships
; Periodic components
; Predictive mechanisms
; Spatial autocorrelations
; Spatio-temporal scale
; Stream temperatures
; Temperature variability
; Thermal characteristics
; Fourier transforms
; alpine environment
; analytical method
; diel variation
; Fourier transform
; performance assessment
; periodicity
; spatiotemporal analysis
; stream channel
; temperature gradient
; water temperature
; Alps
英文摘要: Temperature models that directly predict ecologically important thermal attributes across spatiotemporal scales are still poorly developed. This study developed an analytical method based on Fourier analysis to estimate seasonal and diel periodicities, as well as irregularities in stream temperature, at data-poor sites. The method extrapolates thermal attributes from highly resolved temperature data at a reference site to the data-poor sites on the assumption of spatial autocorrelation. We first quantified the thermal attributes of a glacier-fed stream in the Swiss Alps using 2 years of hourly recorded temperature. Our approach decomposed stream temperature into its average temperature of 3.8 °C, a diel periodicity of 4.9 °C, seasonal periodicity spanning 7.5 °C, and the remaining irregularity (variance) with an average of 0.0 °C but spanning 9.7 °C. These attributes were used to estimate thermal characteristics at upstream sites where temperatures were measured monthly, and we found that a diel periodicity and the variance strongly contributed to the variability at the sites. We evaluated the performance of our predictive mechanism and found that our approach can reasonably estimate periodic components and extremes. We could also estimate the variability in irregularity, which cannot be represented by other techniques that assume a linear relationship in temperature variabilities between sites. The results confirm that spatially extrapolating thermal attributes based on Fourier analysis can predict thermal characteristics at a data-poor site. The R scripts used in this study are available in the Supplement. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78754
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Aquatic Ecology, EAWAG, Duebendorf, Switzerland; Department of Civil Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, Japan; Institute of Integrative Biology, ETH-Zürich, Zürich, Switzerland
Recommended Citation:
Ryo M,, Leys M,, Robinson C,et al. Technical note: Fourier approach for estimating the thermal attributes of streams[J]. Hydrology and Earth System Sciences,2016-01-01,20(8)