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Original Articles

Investigation of the relationship between dust storm index, climatic parameters, and normalized difference vegetation index using the ridge regression method in arid regions of Central Iran

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Pages 239-263 | Received 01 Apr 2019, Accepted 13 Nov 2019, Published online: 27 Nov 2019
 

Abstract

Wind erosion is a serious environmental issue caused by the interaction between various climatic and terrestrial factors. Using the ridge regression (RR) method, the present study aimed to investigate the relationship between these parameters and dust storm index (DSI) in arid regions of Central Iran during 2000–2014. The removal area of soil particles in the dustiest season was further detected via sand and dust roses. The results showed that the highest activity of wind erosion occurred in spring (DSI > 1). The RR analysis indicated that only the air temperature changes had a significant positive effect on DSI variations during the first period (β = +0.38; p < .05). For the second period, decreased precipitation and increased wind velocity were identified as the most important factors influencing the DSI variations. The estimated regression coefficients concerning precipitation and wind speed at 95% confidence level were (−1.02) and (+0.51), respectively. Based on the R2 value, 27% of the DSI changes could be explained by the air temperature variations in the first period. However, approximately 50% of the DSI variations were explained by the rainfall and wind speed changes in the second period. These results illustrate the effective application of RR to elucidate the relationship of climatic and terrestrial factors with DSI. It was further observed that the removal area of soil particles in the northeastern, southeastern, and western parts of Central Iran was easterly, northerly, and westerly, respectively.

Acknowledgments

The authors would like to acknowledge the National Aeronautics and Space Administration (NASA) and Iran Meteorological Organization for, respectively, making the MODIS and climatology data freely available.

Disclosure statement

No potential conflict of interest was reported by authors.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

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