PREDICTING WIND ERODIBILITY OF SAND DUNES BY PARTICLE SIZE DISTRIBUTION MODELS IN PARTS OF WESTERN COAST OF URMIA LAKE

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ASADZADEH F.; KHODADADI M.; EHSAN MALAHAT E.

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Journal: IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH Year:2017 | Volume:24 | Issue:1 (66) Page(s): 126-141

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Title

PREDICTING WIND ERODIBILITY OF SAND DUNES BY PARTICLE SIZE DISTRIBUTION MODELS IN PARTS OF WESTERN COAST OF URMIA LAKE

Author(s)

ASADZADEH F. | KHODADADI M. | EHSAN MALAHAT E. | Issue Writer Certificate

Keywords

SAND DUNESQ3

PARTICLE SIZE DISTRIBUTION MODELSQ1

WIND ERODIBILITYQ1

URMIA LAKEQ1

Abstract

Huge parts of URMIA LAKE have been dried up in recent years. As a result, vast areas of salty fine SAND DUNES, which are very susceptible to wind erosion, have been formed. This study was conducted to investigate the performance of Particle Size Distribution (PSD) models in description of sand dune PSDs and predicting WIND ERODIBILITY by using PSD models in parts of western coast of URMIA LAKE. Totally, 48 samples from a grid of 500m × 500m were collected. PSD of the samples was determined by dry sieving method. Statistical parameters of grain size including mean, sorting, skewness and kurtosis were calculated. Performance of nine PSD models in describing the grain size distribution was assessed by the coefficient of determination (R2), Root mean square error (RSME) and Akaike criterion (AIC) of the models. To determine WIND ERODIBILITY of SAND DUNES, mass fractions of aggregates<840, <420, 420-840, <100 and 100-840mm in diameter were determined. Results showed that average of mean grain size of sand dune samples was 310mm (1.69f), which in comparison with many other desert areas of world, are composed of relatively coarse sands, poorly sorted and very leptokurtic. According to the different efficiency, the Fredlund model showed the best performance in describing PSD of the samples. Averagely, around 97% of particles of the samples are less than 840mm in diameter therefore the study area is very susceptible to wind erosion. About 80% of particles i accounted for particles susceptible to erosion by the processes of suspension and 17% particles are prone to erosion by processes of saltation.

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APA: Copy

ASADZADEH, F., KHODADADI, M., & EHSAN MALAHAT, E.. (2017). PREDICTING WIND ERODIBILITY OF SAND DUNES BY PARTICLE SIZE DISTRIBUTION MODELS IN PARTS OF WESTERN COAST OF URMIA LAKE. IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH, 24(1 (66)), 126-141. SID. https://sid.ir/paper/107531/en

Vancouver: Copy

ASADZADEH F., KHODADADI M., EHSAN MALAHAT E.. PREDICTING WIND ERODIBILITY OF SAND DUNES BY PARTICLE SIZE DISTRIBUTION MODELS IN PARTS OF WESTERN COAST OF URMIA LAKE. IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH[Internet]. 2017;24(1 (66)):126-141. Available from: https://sid.ir/paper/107531/en

IEEE: Copy

F. ASADZADEH, M. KHODADADI, and E. EHSAN MALAHAT, “PREDICTING WIND ERODIBILITY OF SAND DUNES BY PARTICLE SIZE DISTRIBUTION MODELS IN PARTS OF WESTERN COAST OF URMIA LAKE,” IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH, vol. 24, no. 1 (66), pp. 126–141, 2017, [Online]. Available: https://sid.ir/paper/107531/en

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