干旱区生态环境知识资源中心(Arid): Comparison of deterministic wind speed generation models for wind erosion modeling

Arid

DOI	10.1016/j.agrformet.2023.109438
	Comparison of deterministic wind speed generation models for wind erosion modeling
	Han, Xue; Chang, Chunping; Guo, Zhongling; Yin, Shuiqing; Li, Jifeng; Li, Huiru; Wang, Rende; Li, Qing
通讯作者	Guo, ZL
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2023
卷号	334
英文摘要	The diurnal patterns of hourly wind speed data are fundamentally important in precise wind erosion modeling. Several deterministic wind speed simulation models, including the Guo (1/7c), Guo (1/2), wind generator (WINDGEN), Ephrath, Debele, and Goudriaan models, have been developed to quantitatively generate hourly wind speed data. In this study, the performances of these popular deterministic wind speed generation models were investigated using observed hourly wind speed data obtained from 191 climate stations in arid and semi-arid areas of China. The performances of the Guo (1/7c), Guo (1/2) and WINDGEN models were the best for hourly wind speed generation. Linear regression analysis revealed that all models tended to underestimate wind speeds. The patterns of diurnal variation and the amplitude of the measured hourly wind speed data generally governed the model performance. The performances of the Guo (1/7c), WINDGEN, Guo (1/2), Goudriaan, Debele, and Ephrath models successively decreased for the daily average erosive wind power density (AWPD) estimation. To improve the Guo (1/7c) and Guo (1/2) models for AWPD evaluation, the calibrated parameters (7c and 2) of the second term in the Guo (1/7c) and Guo (1/2) models showed different values for each station. The accuracy of the AWPD obtained by the Guo (1/7c) and Guo (1/2) models with the calibrated parameters were significantly improved, which could further influence the accuracy of wind erosion modeling. More studies are required to investigate the relationship between the calibrated parameters in the Guo (1/7c) and Guo (1/2) models and geographic conditions linked with wind erosion.
英文关键词	Hourly wind speed Wind speed models Erosive wind power density Wind erosion modeling
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000967971700001
WOS关键词	PREDICTION MODELS ; UNITED-STATES ; AGRICULTURE ; HISTORY
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395002
推荐引用方式 GB/T 7714	Han, Xue,Chang, Chunping,Guo, Zhongling,et al. Comparison of deterministic wind speed generation models for wind erosion modeling[J],2023,334.
APA	Han, Xue.,Chang, Chunping.,Guo, Zhongling.,Yin, Shuiqing.,Li, Jifeng.,...&Li, Qing.(2023).Comparison of deterministic wind speed generation models for wind erosion modeling.AGRICULTURAL AND FOREST METEOROLOGY,334.
MLA	Han, Xue,et al."Comparison of deterministic wind speed generation models for wind erosion modeling".AGRICULTURAL AND FOREST METEOROLOGY 334(2023).