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Determination of the threshold velocity of soil wind erosion using a wind tunnel and its prediction for calcareous soils of Iran

Land Degradation and Development 2022 7 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Monireh Mina, Monireh Mina, Michel Riksen Mahrooz Rezaei, Mahrooz Rezaei, Monireh Mina, Monireh Mina, Yaser Ostovari, Yaser Ostovari, Michel Riksen Michel Riksen Michel Riksen Michel Riksen Monireh Mina, Mahrooz Rezaei, Michel Riksen Monireh Mina, Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Mahrooz Rezaei, Monireh Mina, Monireh Mina, Michel Riksen

Summary

This study developed pedotransfer functions to predict the threshold wind velocity needed to initiate soil erosion for calcareous soils in Iran. Laboratory wind tunnel tests and easily measured soil properties were used to build the prediction models. Reliable threshold velocity predictions help assess wind erosion risk and guide soil conservation practices in arid regions.

Study Type Environmental

Abstract Determination of the threshold velocity (TV) is a crucial step for wind erosion evaluation. Due to the difficulties of direct field measurements, pedotransfer functions (PTFs) and easily measurable soil properties could be used to save time and cost in predicting TV. Therefore, the present study was conducted to predict the TV using PTFs and to assess its influential parameters for calcareous soils of Fars Province, southern Iran. To this end, the TV was measured by a portable wind tunnel at 72 locations in different land uses and soil types across the study site. Various physicochemical and mechanical soil properties were used to develop six PTFs using multiple linear regression. Results showed that the TV varied from 3.0 m s −1 in poor rangelands to 12.83 m s −1 in saline lands. Soil surface shear strength (SS) with a correlation coefficient of 0.85 was the most influential parameter affecting the TV, followed by aggregate mean weight diameter (MWD). Results of the predictive models revealed that PTF 5, which was developed using SS and penetration resistance (PR; R 2 = 0.86, RMSE = 0.85 m s −1 ), and PTF 6, which was developed using MWD and PR ( R 2 = 0.81, RMSE = 1.07 m s −1 ), had the highest performance for predicting the TV. PTF 5 was selected as the final model for predicting the TV since it only needed easily measurable soil properties without soil sample collection. We concluded that the use of PTFs could be an applicable alternative way to predict the TV, particularly at large scales.

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