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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2014-09-01
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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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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 |
work_keys_str_mv |
AT itouaibia modellingapproachfortherainfallerosivityindexinsubhumidurbanareasinnorthernalgeria AT nabderrahmaneguenim modellingapproachfortherainfallerosivityindexinsubhumidurbanareasinnorthernalgeria AT btouaibia modellingapproachfortherainfallerosivityindexinsubhumidurbanareasinnorthernalgeria |
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