Using monthly rainfall data to estimate rainfall erosivity factor of Iraq

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H.K.A. Al-Shamarti
O.B. Manji
M.I.K. Albw Jbianah


Keywords : erosivity factor, soil monitoring, rainfall, mod-ifi ed Fournier index, linear regression, Kriging
Abstract

Using monthly rainfall data to esti-mate rainfall erosivity factor of Iraq. The erosivity factor have a major effect on soil therefor a lot off researchers are interested about it. Actually, the erosivity depend on rainfall that could be a main source to water which effect on soil. To understand the ero-sivity factor in Iraq, we attempt to explain erosivity factor throughout 30 years (1980––2010). Because of daily data of interval 15 and 30 min are not provided in this area, we used the Fournier modifi ed index (MFI) that based on monthly date of rainfall. Also, we applied linear regression equation between annual rainfall and the MFI to predict the variables and coeffi cient of determination was calculated. The study period divided to three decades and spatial distribution by Kriging method was used to interpolate the MFI of study area which calculate by ArcGIS 10.4.1. The results show that in the northern  454 H.K.A. Al-Shamarti, O.B. Manji, M.I.K. Albw Jbianahzone of Iraq MFI maximum values were re-corded and in the range of MFI above 160. Moreover, in Emadiyah station the MFI ex-cessed 250, which means the erosivity factor has a big effect on soil in this zone. Whereas, in middle zone, the MFI has range 0–120 but most of years of study period recorded 0–90 of the MFI. In southern zone, the MFI was 0–60 therefore the erosivity factor was mod-erated or law

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How to Cite
Al-Shamarti, H., Manji, O., & Albw Jbianah, M. (2019). Using monthly rainfall data to estimate rainfall erosivity factor of Iraq. Scientific Review Engineering and Environmental Studies (SREES), 28(3), 444–454. https://doi.org/10.22630/PNIKS.2019.28.3.41
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