Estimation of Rainfall Erosivity Index for Auchi, Edo State, using Lombardi’s Method

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Ajayi A. Stanley
Ajayi A. Stanley
σ
Ehiomogue P.
Ehiomogue P.
ρ
Kayong A. E.
Kayong A. E.
Ѡ
Duweni E. C.
Duweni E. C.

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Estimation of Rainfall Erosivity Index for Auchi, Edo State, using Lombardi’s Method

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Abstract

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.

References

9 Cites in Article
  1. M Angulo-Martínez,S Beguería (2009). Estimating rainfall erosivity from daily precipitation records: a comparison among methods using data from the Ebro Basin (NE Spain).
  2. M Isikwue,J Ocheme,M Aho (2015). Evaluation of Rainfall Erosivity Index for Abuja, Nigeria Using Lombardi Method.
  3. N Loureiro,M Coutinho (2001). A New Procedure to Estimate the RUSLE EI 30 Index Based on Monthly Rainfall Data and Applied to the Algarve Region, Portugal.
  4. Gary Sheridan (1979). Predicting hillslope scale erodibility and erosion on disturbed landscapes from laboratory scale measurements.
  5. R Morgan (1942). Soil Erosion and Conservation.
  6. P Oliveira,E Wendland,M Nearing (2002). Rainfall Erosivity in Brazil: A review.
  7. Bada, O.A.,Alhassan A.I,Momoh E.O.,Olotu Y.,Osagioduwa M.,Dirisu H.I,Ayilaran C.I. (2012). Assessment of Urban Domestic Water Demand and Supply in Edo North, Nigeria.
  8. A Silva (2004). Rainfall Erosivity Map for Brazil.
  9. W Wichmeier,D Smith Predicting Rainfall Losses-A Guide to Conservation Planning.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-J Classification: FOR Code: 291899
Version of record

v1.2

Issue date

April 8, 2019

Language
en
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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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Estimation of Rainfall Erosivity Index for Auchi, Edo State, using Lombardi’s Method

Ajayi A. Stanley
Ajayi A. Stanley
Ehiomogue P.
Ehiomogue P.
Kayong A. E.
Kayong A. E.
Duweni E. C.
Duweni E. C.

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