Using monthly rainfall data to estimate rainfall erosivity factor of Iraq

Main Article Content

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

Article Details

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 Sciences (SREES), 28(3), 444–454. https://doi.org/10.22630/PNIKS.2019.28.3.41
References

Apaydin, H., Erpul, G., Bayramin, I. & Gabriels, D. (2006). Evaluation of indices for characterizing the distribution and concentration of precipitation: a case for the region of Southeastern Anatolia Project, Turkey. Journal of Hydrology, 328(3), 726-732.

Arnoldus, H.M.J. (1977). Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco. FAO Soils Bulletins (FAO), 34, 39-48.

Davison, P., Hutchins, M.G., Anthony, S.G., Betson, M., Johnson, C. & Lord, E.I. (2005). The relationship between potentially erosive storm energy and daily rainfall quantity in England and Wales. Science of the Total Environment, 344(1), 15-25.

De Luis, M., González-Hidalgo, J. & Longares, L.A. (2010). Is rainfall erosivity increasing in the Mediterranean Iberian Peninsula? Land Degradation and Development, 21, 139-144.

Fournier, F. (1960). Climat et érosion: la relation entre l’érosion du sol par l’eau et les précipitations atmosphériques [Climate and erosion. The relationship between water erosion of soils and atmospheric precipitation]. Paris: Presses universitaires de France.

Pérez-Sánchez, J. & Senent-Aparicio, J. (2016). Estimating Rainfall Erositivity in Semiarid Regions. Comparison of Expressions and Parameters Using Data from the Guadalentín Basin (SE Spain). Soil and Water Research, 11(2), 75-82.

Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K & Yoder, D.C. (1997). Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Washington: US Government Printing Office.

Renard, K.G. & Freimund, J.R. (1994). Using monthly precipitation data to estimate the R-factor in the revised USLE. Journal of Hydrology, 157(1-4), 287-306.

Wischmeier, W.H. (1959). A rainfall erosion index for a universal soil-loss equation. Soil Science Society of America Journal, 23(3), 246-249.

Wischmeier, W.H. & Smith, D.D. (1978). Predicting rainfall erosion losses – a guide to conservation planning. Hyatsville, Maryland: United States Department of Agriculture.

Statistics

Downloads

Download data is not yet available.
Recommend Articles