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Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia

Pluviographic data at 15 min interval from 6 stations in Pulau Penang of Peninsular Malaysia were used to compute rainfall erosivity factor (R) for the revised universal soil loss equation (RUSLE). Three different modelling procedures were applied for the estimation of monthly rainfall erosivity (E...

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Main Authors: Shamshad, A., Azhari, M.N., Isa, M.H., Hussin, W.M.A.W., Parida, B.P.
Format: Article
Published: 2008
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utp.edu.my/14/
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spelling my.utp.eprints.142010-10-06T03:53:06Z Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia Shamshad, A. Azhari, M.N. Isa, M.H. Hussin, W.M.A.W. Parida, B.P. TA Engineering (General). Civil engineering (General) Pluviographic data at 15 min interval from 6 stations in Pulau Penang of Peninsular Malaysia were used to compute rainfall erosivity factor (R) for the revised universal soil loss equation (RUSLE). Three different modelling procedures were applied for the estimation of monthly rainfall erosivity (EI<sub>30</sub>) values. While storm rainfall (P) and duration (D) data were used in the first approach, the second approach used monthly rainfall for days with rainfall ≥ 10 mm (rain<sub>10</sub>) and monthly number of days with rainfall ≥ 10 (days<sub>10</sub>). The third approach however used the Fournier index as the independent variable. Based on the root mean squared error (RMSE) and the percentage error (PE) criteria, models developed using the Fournier index approach was adjudged the best with an average PE value of 0.92 and an average RMSE value of 164.6. Further, this approach was extended to the development of a regional model. Using data from additional sixteen stations and the Fournier index based regional model, EI<sub>30</sub> values were computed for each month. ArcView GIS was used to generate monthly maps of EI<sub>30</sub> values and also annual rainfall erosivity (R). The rainfall erosivity factor (R) in the region was estimated to vary from 9000 to 14,000 MJ mm ha<sup>- 1</sup> h<sup>- 1</sup> year<sup>- 1</sup>. © 2007 Elsevier B.V. All rights reserved. 2008 Article NonPeerReviewed Shamshad, A. and Azhari, M.N. and Isa, M.H. and Hussin, W.M.A.W. and Parida, B.P. (2008) Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia. Catena, 72 (3). pp. 423-432. ISSN 3418162 http://eprints.utp.edu.my/14/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Shamshad, A.
Azhari, M.N.
Isa, M.H.
Hussin, W.M.A.W.
Parida, B.P.
Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia
description Pluviographic data at 15 min interval from 6 stations in Pulau Penang of Peninsular Malaysia were used to compute rainfall erosivity factor (R) for the revised universal soil loss equation (RUSLE). Three different modelling procedures were applied for the estimation of monthly rainfall erosivity (EI<sub>30</sub>) values. While storm rainfall (P) and duration (D) data were used in the first approach, the second approach used monthly rainfall for days with rainfall ≥ 10 mm (rain<sub>10</sub>) and monthly number of days with rainfall ≥ 10 (days<sub>10</sub>). The third approach however used the Fournier index as the independent variable. Based on the root mean squared error (RMSE) and the percentage error (PE) criteria, models developed using the Fournier index approach was adjudged the best with an average PE value of 0.92 and an average RMSE value of 164.6. Further, this approach was extended to the development of a regional model. Using data from additional sixteen stations and the Fournier index based regional model, EI<sub>30</sub> values were computed for each month. ArcView GIS was used to generate monthly maps of EI<sub>30</sub> values and also annual rainfall erosivity (R). The rainfall erosivity factor (R) in the region was estimated to vary from 9000 to 14,000 MJ mm ha<sup>- 1</sup> h<sup>- 1</sup> year<sup>- 1</sup>. © 2007 Elsevier B.V. All rights reserved.
format Article
author Shamshad, A.
Azhari, M.N.
Isa, M.H.
Hussin, W.M.A.W.
Parida, B.P.
author_facet Shamshad, A.
Azhari, M.N.
Isa, M.H.
Hussin, W.M.A.W.
Parida, B.P.
author_sort Shamshad, A.
title Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia
title_short Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia
title_full Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia
title_fullStr Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia
title_full_unstemmed Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia
title_sort development of an appropriate procedure for estimation of rusle ei30 index and preparation of erosivity maps for pulau penang in peninsular malaysia
publishDate 2008
url http://eprints.utp.edu.my/14/
_version_ 1738655032231854080
score 13.211869

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