این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
مهندسی اکوسیستم بیابان، جلد ۹، شماره ۶ انگلیسی، صفحات ۴۲-۲۹
عنوان فارسی Investigating Lagged Cross-correlation between Wind Erosion and Drought in Southern Iran’s arid regions Investigating Lagged Cross-correlation between Wind Erosion and Drought in Southern Iran’s arid regions
چکیده فارسی مقاله This study sought to detect the highest temporal correlation between wind erosion and drought in southern Iran's arid lands based on the Standardized Precipitation Index (SPI) and Standardized Dust Storm Index (SDSI) over a 50-year period (1965-2014). Using the Mann- Kendall test, changes in SPI (as a proxy of meteorological drought) and SDSI (as a proxy of wind erosion) trends were analyzed in temporal resolution (3, 6, 9, 12, 18, and 24 monthly time series). The wind erosion's response time to drought was estimated by Lagged cross-correlation. The results revealed a decreasing trend in the SPI time series, particularly in the long-term series (12, 18, and 24-month), and an increasing trend in the SDSI series in different time scales, from short-term to long-term series. These findings indicate the exacerbation of drought and wind erosion in the study region. Moreover, the cross-correlation analysis showed that the relationships between SPI and SDSI were negative at the level of 5% in all the time series. The maximum correlation was obtained from the cross-correlation between the 12-month SPI and 18-month SDSI without time lag (R= -0.22; α<0.05). These results indicated that in southern Iran's arid regions, changes in dust events had been affected by long-term drought. Therefore, it is expected that after long-term droughts, which considerably affect the soil moisture contents, the dust storms are intensified. The Finding of this research can help planners take necessary measures against sand and dust storm hazards.
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Investigating Lagged Cross-correlation between Wind Erosion and Drought in Southern Iran’s arid regions Investigating Lagged Cross-correlation between Wind Erosion and Drought in Southern Iran’s arid regions
چکیده انگلیسی مقاله This study sought to detect the highest temporal correlation between wind erosion and drought in southern Iran's arid lands based on the Standardized Precipitation Index (SPI) and Standardized Dust Storm Index (SDSI) over a 50-year period (1965-2014). Using the Mann- Kendall test, changes in SPI (as a proxy of meteorological drought) and SDSI (as a proxy of wind erosion) trends were analyzed in temporal resolution (3, 6, 9, 12, 18, and 24 monthly time series). The wind erosion's response time to drought was estimated by Lagged cross-correlation. The results revealed a decreasing trend in the SPI time series, particularly in the long-term series (12, 18, and 24-month), and an increasing trend in the SDSI series in different time scales, from short-term to long-term series. These findings indicate the exacerbation of drought and wind erosion in the study region. Moreover, the cross-correlation analysis showed that the relationships between SPI and SDSI were negative at the level of 5% in all the time series. The maximum correlation was obtained from the cross-correlation between the 12-month SPI and 18-month SDSI without time lag (R= -0.22; α<0.05). These results indicated that in southern Iran's arid regions, changes in dust events had been affected by long-term drought. Therefore, it is expected that after long-term droughts, which considerably affect the soil moisture contents, the dust storms are intensified. The Finding of this research can help planners take necessary measures against sand and dust storm hazards.
کلیدواژه‌های انگلیسی مقاله SDSI, Drought, Wind erosion, Cross-Correlation, Soil erosion
نویسندگان مقاله فاطمه روستایی |
Combat to desertification, Natural Resource Faculty, Ardakan University, Yazd, Iran

زهره ابراهیمی خوسفی |
Assistant Professor, Faculty of Natural Resources, University of Jiroft , Kerman,Iran

محمدرضا کوثری |
Soil Conservation and Watershed Management Research Institute (SCWMRI), Tehran, Iran

مصطفی مختاری |
Department Of Information Technology, Payame Noor University, Iran

نشانی اینترنتی https://deej.kashanu.ac.ir/article_114078_7f8ebde7ab5bc56eb993cc9ea3e882e9.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده fa
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات