Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria

This work presents an approach for storm water erosivity index modelling in the absence of measurement in an urban area, in a sub-humid climate. In torrential storms, floods, loaded with sediments, obstruct storm water drainage. With the aim of estimating the amount of sediment that can be deposited...

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Main Authors: I. Touaibia, N. Abderrahmane Guenim, B. Touaibia
Format: Article
Language:English
Published: Copernicus Publications 2014-09-01
Series:Proceedings of the International Association of Hydrological Sciences
Online Access:https://www.proc-iahs.net/364/123/2014/piahs-364-123-2014.pdf
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spelling doaj-6bfe725ec6bb46599f1699c51be85bae2020-11-24T22:32:55ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2014-09-0136412312710.5194/piahs-364-123-2014Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern AlgeriaI. Touaibia0N. Abderrahmane Guenim1B. Touaibia2Dept. d'Hydraulique. University, Abou Bakr Bel Kaid Tlemcen, AlgeriaDept. d'Hydraulique. University, Abou Bakr Bel Kaid Tlemcen, AlgeriaEcole Nationale Supérieure d'Hydraulique, Blida, MVRE, AlgeriaThis work presents an approach for storm water erosivity index modelling in the absence of measurement in an urban area, in a sub-humid climate. In torrential storms, floods, loaded with sediments, obstruct storm water drainage. With the aim of estimating the amount of sediment that can be deposited on a stretch of road, adjacent to the study area, the erosivity index is determined from a count of 744 rain showers recorded over a period of 19 years. The Universal Soil Loss Equation (USLE) of Wischmeier and Smith is applied, where only the index of erosivity is calculated; it is based on the intensity of the rain starting the process of erosion in the basin. Functional relations are required between this factor and the explanatory variables. A power type regression model is reached, making it possible to bring a decision-making aid in absences of measurements.https://www.proc-iahs.net/364/123/2014/piahs-364-123-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author I. Touaibia
N. Abderrahmane Guenim
B. Touaibia
spellingShingle I. Touaibia
N. Abderrahmane Guenim
B. Touaibia
Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria
Proceedings of the International Association of Hydrological Sciences
author_facet I. Touaibia
N. Abderrahmane Guenim
B. Touaibia
author_sort I. Touaibia
title Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria
title_short Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria
title_full Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria
title_fullStr Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria
title_full_unstemmed Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria
title_sort modelling approach for the rainfall erosivity index in sub-humid urban areas in northern algeria
publisher Copernicus Publications
series Proceedings of the International Association of Hydrological Sciences
issn 2199-8981
2199-899X
publishDate 2014-09-01
description This work presents an approach for storm water erosivity index modelling in the absence of measurement in an urban area, in a sub-humid climate. In torrential storms, floods, loaded with sediments, obstruct storm water drainage. With the aim of estimating the amount of sediment that can be deposited on a stretch of road, adjacent to the study area, the erosivity index is determined from a count of 744 rain showers recorded over a period of 19 years. The Universal Soil Loss Equation (USLE) of Wischmeier and Smith is applied, where only the index of erosivity is calculated; it is based on the intensity of the rain starting the process of erosion in the basin. Functional relations are required between this factor and the explanatory variables. A power type regression model is reached, making it possible to bring a decision-making aid in absences of measurements.
url https://www.proc-iahs.net/364/123/2014/piahs-364-123-2014.pdf
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