APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTION

In order to explore the consequences of rainfall intensity – kinetic energy relationships for soil loss, climatologically data for monthly and yearly rainfall depth over period of 30-yrs for Mosul city which is located at northern Iraq, were analyzed for the rainfall erosivity index (EI30). The modi...

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Main Author: Khalid F. Hassan
Format: Article
Language:English
Published: College of Agriculture 2011-06-01
Series:Mesopotamia Journal of Agriculture
Online Access:https://magrj.mosuljournals.com/article_30181_55e618e8c7545cfc2b5b029c3882285b.pdf
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author Khalid F. Hassan
author_facet Khalid F. Hassan
author_sort Khalid F. Hassan
collection DOAJ
description In order to explore the consequences of rainfall intensity – kinetic energy relationships for soil loss, climatologically data for monthly and yearly rainfall depth over period of 30-yrs for Mosul city which is located at northern Iraq, were analyzed for the rainfall erosivity index (EI30). The modified Fourneir erosivity (MFI) model was used as an indicator for the combination effect of kinetic energy(E) and maximum rainfall intensity at 30 minute (I30) on the soil loss. The results showed that EI30 index was varied within a year and between years of the rainfall records and was ranged from 25.1 to 411.9 metric unit with average 140.3metric unit .The monthly distribution of EI30 showed that the rainfall erosivity was very sever in four months (50% of rainy months ) through any year of recorder data and December to March was found to be the most erosive months in the studied region. Regression analysis for EI30 with mean annual rainfall depth showed that the natural log law is the best suitable mathematical function judged their relation and 83.3% of the changes in EI30 were due to variation in the rainfall depth.
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spelling doaj-art-eb3a3c7386bc4dfc88dcd47256a2e28c2025-08-20T02:56:52ZengCollege of AgricultureMesopotamia Journal of Agriculture1815-316X2224-97962011-06-01392404910.33899/magrj.2011.3018130181APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTIONKhalid F. HassanIn order to explore the consequences of rainfall intensity – kinetic energy relationships for soil loss, climatologically data for monthly and yearly rainfall depth over period of 30-yrs for Mosul city which is located at northern Iraq, were analyzed for the rainfall erosivity index (EI30). The modified Fourneir erosivity (MFI) model was used as an indicator for the combination effect of kinetic energy(E) and maximum rainfall intensity at 30 minute (I30) on the soil loss. The results showed that EI30 index was varied within a year and between years of the rainfall records and was ranged from 25.1 to 411.9 metric unit with average 140.3metric unit .The monthly distribution of EI30 showed that the rainfall erosivity was very sever in four months (50% of rainy months ) through any year of recorder data and December to March was found to be the most erosive months in the studied region. Regression analysis for EI30 with mean annual rainfall depth showed that the natural log law is the best suitable mathematical function judged their relation and 83.3% of the changes in EI30 were due to variation in the rainfall depth.https://magrj.mosuljournals.com/article_30181_55e618e8c7545cfc2b5b029c3882285b.pdf
spellingShingle Khalid F. Hassan
APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTION
Mesopotamia Journal of Agriculture
title APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTION
title_full APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTION
title_fullStr APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTION
title_full_unstemmed APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTION
title_short APPLICATION OF RAINFALL INTENSITY – KINETIC ENERGY RELATIONSHIP FOR SOIL LOSS PREDICTION
title_sort application of rainfall intensity kinetic energy relationship for soil loss prediction
url https://magrj.mosuljournals.com/article_30181_55e618e8c7545cfc2b5b029c3882285b.pdf
work_keys_str_mv AT khalidfhassan applicationofrainfallintensitykineticenergyrelationshipforsoillossprediction