Spatial and temporal estimation of the erosivity factor R based on daily rainfall data for the department of Atlántico, Colombia

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Auteur principal: B. Ávila
Format: Artículo científico
Langue:en
Publié: Universidad Nacional de Colombia 2015
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author B. Ávila
author_facet B. Ávila
contents Spatial and temporal estimation of the erosivity factor R based on daily rainfall data for the department of Atlántico, Colombia B. Ávila H. Ávila Ingeniería RUSLE erosivity Soil erosion erosivity factor soil erosion rate Soil erosion caused by rain is the detachment and movement of soil particles caused by the impact of raindrops on the surface. Erosivity factor R is a measure of the rain erosive power used for estimating the erosion rate with the RUSLE method (Revised Universal Soil Loss Equation). Estimating R factor requires rainfall intensity records of storms greater than 12.5 mm or greater than 6 mm but longer than 15 min. However, most of the Colombian rainfall stations have daily rainfall records with which it is not possible to estimate the intensity of each storm and, therefore, makes it difficult to estimate the R factor for a specific area. In this paper a methodology for estimating the erosivity factor R for the department of Atlántico, Colombia from daily records of 16 IDEAM stations is presen - ted. The spatial distribution of the erosivity factor R in the department and its temporal distribution throughout the year are also shown. The results showed a minimum erosivity factor R of 6,894 MJ∙mm∙Ha -1 ∙Hr -1 ∙yr -1 and a maximum of 10,925 MJ∙mm∙Ha -1 ∙Hr -1 ∙yr -1 . The average erosivity factor R for the department of Atlántico was 8,697 MJ∙mm∙Ha -1 ∙Hr -1 ∙yr -1 . This methodology might be used for estimating the erosion factor R in different Colombian regions where high-resolution precipitation data is limited, but seasonal and orographic conditions should be considered for selecting the rain gages and the area of study. 2015 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64340413004 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.35
format Artículo científico
id redalyc_64340413004
institution Redalyc
language en
publishDate 2015
publisher Universidad Nacional de Colombia
spellingShingle Spatial and temporal estimation of the erosivity factor R based on daily rainfall data for the department of Atlántico, Colombia
B. Ávila
Ingeniería
RUSLE
erosivity
Soil erosion
erosivity factor
soil erosion rate
Spatial and temporal estimation of the erosivity factor R based on daily rainfall data for the department of Atlántico, Colombia B. Ávila H. Ávila Ingeniería RUSLE erosivity Soil erosion erosivity factor soil erosion rate Soil erosion caused by rain is the detachment and movement of soil particles caused by the impact of raindrops on the surface. Erosivity factor R is a measure of the rain erosive power used for estimating the erosion rate with the RUSLE method (Revised Universal Soil Loss Equation). Estimating R factor requires rainfall intensity records of storms greater than 12.5 mm or greater than 6 mm but longer than 15 min. However, most of the Colombian rainfall stations have daily rainfall records with which it is not possible to estimate the intensity of each storm and, therefore, makes it difficult to estimate the R factor for a specific area. In this paper a methodology for estimating the erosivity factor R for the department of Atlántico, Colombia from daily records of 16 IDEAM stations is presen - ted. The spatial distribution of the erosivity factor R in the department and its temporal distribution throughout the year are also shown. The results showed a minimum erosivity factor R of 6,894 MJ∙mm∙Ha -1 ∙Hr -1 ∙yr -1 and a maximum of 10,925 MJ∙mm∙Ha -1 ∙Hr -1 ∙yr -1 . The average erosivity factor R for the department of Atlántico was 8,697 MJ∙mm∙Ha -1 ∙Hr -1 ∙yr -1 . This methodology might be used for estimating the erosion factor R in different Colombian regions where high-resolution precipitation data is limited, but seasonal and orographic conditions should be considered for selecting the rain gages and the area of study. 2015 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64340413004 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.35
title Spatial and temporal estimation of the erosivity factor R based on daily rainfall data for the department of Atlántico, Colombia
topic Ingeniería
RUSLE
erosivity
Soil erosion
erosivity factor
soil erosion rate
url https://www.redalyc.org/articulo.oa?id=64340413004