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The erosivity factor in the universal soil loss equation (USLE) provides an effective means of evaluating the erosivity power of rainfall. This study evaluated the erosivity factor based on monthly and annual precipitation rainfall data of Auchi, Edo State covering a period of 2005 -2014 using Lombardi method (EI =1.03V d 1.51 ). It was discovered that higher rainfall values resulted in high erosivity index values which was in line with other tropical climates. The average annual erosivity index for the city during the period of study was 587.32 MJ mm/hr. The R 2 of 0.651 shows that precipitation alone contributed 65.1% of the erosion risk within the study period. The knowledge of impact of rainfall on erosivity is essential in soil erosion risk assessment and for soil and water conservation planning.
Ajayi A. Stanley. 2019. \u201cEstimation of Rainfall Erosivity Index for Auchi, Edo State, using Lombardi’s Method\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 19 (GJRE Volume 19 Issue J2): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 104
Country: Nigeria
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Ajayi A. Stanley, Ehiomogue P., Kayong A. E., Duweni E. C. (PhD/Dr. count: 0)
View Count (all-time): 190
Total Views (Real + Logic): 2908
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Publish Date: 2019 04, Mon
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The erosivity factor in the universal soil loss equation (USLE) provides an effective means of evaluating the erosivity power of rainfall. This study evaluated the erosivity factor based on monthly and annual precipitation rainfall data of Auchi, Edo State covering a period of 2005 -2014 using Lombardi method (EI =1.03V d 1.51 ). It was discovered that higher rainfall values resulted in high erosivity index values which was in line with other tropical climates. The average annual erosivity index for the city during the period of study was 587.32 MJ mm/hr. The R 2 of 0.651 shows that precipitation alone contributed 65.1% of the erosion risk within the study period. The knowledge of impact of rainfall on erosivity is essential in soil erosion risk assessment and for soil and water conservation planning.
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