RWEQ模型中风因子的改进及应用

doi:10.16843/j.sswc.2021.04.017

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Abstract [Background] Wind is the most important driver of soil wind erosion and the most important input parameter in the RWEQ (revised wind erosion equation) model for quantitatively estimating wind erosion. The actual wind speed changes all the time. Substituting the average wind speed into the model will make the calculated wind erosion less. Therefore, the model requires no less than 500 wind speed values to estimate the wind factor. However, wind speed data with high temporary resolution is difficult to acquire. For all this, how to select downscaling techniques for wind speed data is worth studying.[Methods] Two-parameter Weibull distribution model, as well as the fitting method of daily average and maximum wind speed were used to fit wind speed respectively. The fitting results of the two methods were compared with the measured results respectively. The measured data were the observed values of national meteorological stations, including daily four periodic wind speed values, daily mean and daily maximum wind speed values. According to the comparison results, the wind speed downscaling method was modified, and the revised wind speed values were substituted into the RWEQ model to obtain the spatial distribution of wind factors in North China.[Results] 1) There was an error in the wind erosion force between by the two-parameter Weibull distribution model and by the measured wind speed, the relative error value was in 0.19 to 0.95, the mean relative one reached 0.52. Regression analysis results showed that the correlation coefficient between two of them reached 0.97, and the significance level P<0.01. 2) For the wind speed value >5 m/s, the relative error value between the fitting results and the measured results were 0.01-0.18, and the mean one was 0.09, correlation coefficient reached 0.82, and the significance level P<0.01. The fitting result in the high wind speed area (>5 m/s) was small with a slope of 0.74. 3) The fitting method of daily average and daily maximum wind speed also couldn't be directly applied to estimate wind erosion in North China. However, the wind erosion force fitted by this method had a strong correlation with the results calculated by the measured wind speed (R²=0.96). According to the spatial distribution of wind erosion force in March from 2000 to 2010 calculated by this correlations, areas of high wind factor value were distributed mostly around the Inner Mongolia Plateau, also in the Northeast China and the Qinghai-Tibet Plateau.[Conclusions] Two-parameter Weibull distribution model underestimated the value of wind speed (especially for wind speeds >5 m/s). The wind erosion force calculated by the fitting method of daily average and daily maximum wind speed is correlated with the one from the measured wind speed, thus this correlation can be used to estimate the wind erosion force. Based on comparing the common methods, this paper improved RWEQ model in the calculation of wind factor, revealed climate driver in wind erosion area, and provided a theoretical instruction for control the wind erosion in North China.

Key words： wind erosion RWEQ model two-parameter Weibull distribution model downscaling techniques for wind speed wind factor

Received: 09 April 2020

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K903

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	Articles by authors
	GONG Guoli
	LIU Xin
	YAO Ling
	REN Lixia
	WANG Min

Cite this article:

GONG Guoli,LIU Xin,YAO Ling, et al. Improvement and application of wind factor in RWEQ model[J]. SSWC, 2021, 19(4): 143-148.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2021.04.017 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2021/V19/I4/143

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