| DOI: | 10.5194/hess-20-2721-2016
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| Scopus记录号: | 2-s2.0-84978370512
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| 论文题名: | Ordinary kriging as a tool to estimate historical daily streamflow records |
| 作者: | Farmer W; H
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| 刊名: | Hydrology and Earth System Sciences
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| ISSN: | 10275606
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| 出版年: | 2016
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| 卷: | 20, 期:7 | | 起始页码: | 2721
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| 结束页码: | 2735
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| 语种: | 英语
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| Scopus关键词: | Computational efficiency
; Efficiency
; Mean square error
; Stream flow
; Time series
; Topology
; Water management
; Water resources
; Watersheds
; First-order approximations
; Model efficiency
; Ordinary kriging
; Root mean squared errors
; Streamflow records
; Temporal evolution
; Time-varying series
; Ungaged watersheds
; Interpolation
; diurnal variation
; error analysis
; geological mapping
; hydrology
; kriging
; numerical model
; streamflow
; topology
; variogram
; watershed
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| 英文摘要: | Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology. Several tools have been developed to alleviate this data scarcity, but few provide continuous daily streamflow records at individual streamgages within an entire region. Building on the history of hydrologic mapping, ordinary kriging was extended to predict daily streamflow time series on a regional basis. Pooling parameters to estimate a single, time-invariant characterization of spatial semivariance structure is shown to produce accurate reproduction of streamflow. This approach is contrasted with a time-varying series of variograms, representing the temporal evolution and behavior of the spatial semivariance structure. Furthermore, the ordinary kriging approach is shown to produce more accurate time series than more common, single-index hydrologic transfers. A comparison between topological kriging and ordinary kriging is less definitive, showing the ordinary kriging approach to be significantly inferior in terms of Nash-Sutcliffe model efficiencies while maintaining significantly superior performance measured by root mean squared errors. Given the similarity of performance and the computational efficiency of ordinary kriging, it is concluded that ordinary kriging is useful for first-order approximation of daily streamflow time series in ungaged watersheds. © 2016 Author(s). |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/78795
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | U.S. Geological Survey, Denver Federal Center, Box 25046, Denver, CO, United States
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| Recommended Citation: | |
Farmer W,H. Ordinary kriging as a tool to estimate historical daily streamflow records[J]. Hydrology and Earth System Sciences,2016-01-01,20(7)
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