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Spatiotemporal mapping of rainfall erosivity index for different return periods in Iran

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Abstract

Analysis of event-based soil erosion magnitude with special return periods is essential to appropriately design strategies and adopt soil conservation practices. However, the spatiotemporal variations of soil erosion with different return periods, especially at national level, have not been adequately considered. Therefore, the present study aimed to zone rainfall erosivity index (R factor) as the most dynamic factor affecting variability of soil erosion rate, with different return periods in monthly, seasonal and annual time scales in Iran. Toward this attempt, the kinetic energy and maximum 30-min intensity (I 30) over 12,000 available and accessible events of 70 stations were calculated during the common period of 1984–2004 and the corresponding R factor of the Universal Soil Loss Equation was then computed. Subsequently, the best-fitted frequency distributions were determined in all stations in three time scales using the EasyFit Software. The R factor was accordingly estimated for 2-, 5-, 10-, 25- and 50-year return periods. In addition, the inverse distance weighting technique was employed to determine and analyze the spatial variability patterns of R factor in different time scales using geographic information system. The results indicated that the frequency distributions fitted to study data were different in study time scales due to variability of spatiotemporal patterns of R factor. In addition, no specific spatial pattern of R factor could be recognized for different return periods and time scales. The average annual R factor was also found 1.41 MJ mm ha−1 h−1, whereas the respective R factor for different respective return periods of 2, 5, 10, 25 and 50 years was obtained 1.47, 2.62, 3.35, 4.48 and 5.54 MJ mm ha−1 h−1. These findings can be used for suitable decision making and effective environmental planning for land management Iran countrywide.

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Authors and Affiliations

  1. Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University (TMU), Noor, Mazandaran, 4641776489, Iran

    Seyed Hamidreza Sadeghi, Mohsen Zabihi, Mehdi Vafakhah & Zeinab Hazbavi

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  1. Seyed Hamidreza Sadeghi
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  2. Mohsen Zabihi
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  3. Mehdi Vafakhah
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  4. Zeinab Hazbavi
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Correspondence to Seyed Hamidreza Sadeghi.

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Sadeghi, S.H., Zabihi, M., Vafakhah, M. et al. Spatiotemporal mapping of rainfall erosivity index for different return periods in Iran. Nat Hazards 87, 35–56 (2017). https://doi.org/10.1007/s11069-017-2752-3

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