Abstract:

Wind is the essential driving force of wind erosion and have a direct impact on the wind erosion intensity by wind speed. Wind speed is one of the vital input parameters of the soil wind erosion model， and high temporal-spatial resolution can improve the performance of model simulation. In order to explore the method of temporal interpolation and wind speed data with different spatial-temporal resolution on the model simulation results， the sensitivity of the RWEQ model to each input parameters had been evaluated and different types of wind data from 130 meteorological observing stations （reference climatological station and basic weather station） were selected in the Agra Pastoral Ecotone of Northern China， four wind speeds and two wind speeds per day are used respectively to generate hourly wind speed by WINDGEN in WEPS and linear interpolation， and with four wind speeds per day without interpolation. Six scenarios were constructed with different wind data types and number of meteorological stations to simulated the potential wind erosion modulus in study area in different scenarios. From the scenarios， the potential wind erosion of RWEQ enhanced as the number of meteorological stations and wind speed resolution increased. Moreover， compared with WINDGEN in WEPS， the method of linear interpolation is unsatisfactory in RWEQ， which caused a remarkable reduce of frequency greater than threshold wind speed （5 m·s^-1） at 2 m height and underestimatation of the potential wind erosion and regional soil wind erosion conditions.

Key words: wind speed data, number of meteorological stations, potential wind erosion modulus, RWEQ model