DOI: 10.5194/hess-19-4113-2015
Scopus记录号: 2-s2.0-84944080918
论文题名: Rainfall erosivity estimation based on rainfall data collected over a range of temporal resolutions
作者: Yin S ; , Xie Y ; , Liu B ; , Nearing M ; A
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 10 起始页码: 4113
结束页码: 4126
语种: 英语
Scopus关键词: Kinetic energy
; Kinetics
; Energy intensity
; Mean absolute percentage error
; Model efficiency
; Prediction capability
; Rainfall erosivity
; Rainfall event
; Temporal resolution
; Total kinetic energy
; Rain
; calibration
; data acquisition
; erosivity
; hydrological modeling
; kinetic energy
; model validation
; raindrop
; rainfall-runoff modeling
; resolution
; runoff
; soil erosion
; China
英文摘要: Rainfall erosivity is the power of rainfall to cause soil erosion by water. The rainfall erosivity index for a rainfall event (energy-intensity values - EI 30) is calculated from the total kinetic energy and maximum 30 min intensity of individual events. However, these data are often unavailable in many areas of the world. The purpose of this study was to develop models based on commonly available rainfall data resolutions, such as daily or monthly totals, to calculate rainfall erosivity. Eleven stations with 1 min temporal resolution rainfall data collected from 1961 through 2000 in the eastern half of China were used to develop and calibrate 21 models. Seven independent stations, also with 1 min data, were utilized to validate those models, together with 20 previously published equations. The models in this study performed better or similar to models from previous research to estimate rainfall erosivity for these data. Using symmetric mean absolute percentage errors and Nash-Sutcliffe model efficiency coefficients, we can recommend 17 of the new models that had model efficiencies ≥ 0.59. The best prediction capabilities resulted from using the finest resolution rainfall data as inputs at a given erosivity timescale and by summing results from equations for finer erosivity timescales where possible. Results from this study provide a number of options for developing erosivity maps using coarse resolution rainfall data. © Author(s) 2015. CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78411
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China; School of Geography, Beijing Normal University, Beijing, China; USDA-ARS Southwest Watershed Research Center, Tucson, AZ, United States
Recommended Citation:
Yin S,, Xie Y,, Liu B,et al. Rainfall erosivity estimation based on rainfall data collected over a range of temporal resolutions[J]. Hydrology and Earth System Sciences,2015-01-01,19(10)