Using monthly rainfall data to estimate rainfall erosivity factor of Iraq

• Autorzy: Al-Shamarti Hasanain K. , Manji Osamah B. , Albw Jbianah Mohanad I. K.

Identyfikatory

DOI

10.22630/PNIKS.2019.28.3.41

• Języki publikacji: EN

Abstrakty

EN

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 erosivity 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 coeff 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 zone of Iraq MFI maximum values were recorded and in the range of MFI above 160. Moreover, in Emadiyah station the MFI excessed 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 moderated or law. The linear regression models were found for each station of study area and only Emadiyah, Teleafer, Khanqin and Nasiriya have weak coefficient determination.

Słowa kluczowe

EN

erosivity factor; soil; rainfall; modified Fournier index; linear regression; Kriging

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
• Rocznik: 2019
• Tom: Vol. 28, No. 3
• Strony: 444--454
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Al-Shamarti Hasanain K.

• Mustansiriyah University, College of Sciences, Department of Atmospheric Sciences, Palestine Street, P.O. Box 14022 Baghdad, Iraq

autor

Manji Osamah B.

• Mustansiriyah University, College of Sciences, Department of Atmospheric Sciences, Palestine Street, P.O. Box 14022 Baghdad, Iraq

autor

Albw Jbianah Mohanad I. K.

• Wasit University Iraq, Soil Sciences and Water Resources, College of Agriculture, Bakrajo Campus – Awall Street, Bakrajo Sulaimani Cit,y Iraqi Kurdistan Region, Iraq

Bibliografia

• 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.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).