Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)

Autores
Panebianco, Juan Esteban; Buschiazzo, Daniel Eduardo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In wind erosion modelling and assessment, wind speed is a crucial variable. Available records for large regions of the world generally show relatively low temporal resolution. The effect of using wind data of different temporal resolutions in RWEQ discrete and continuous versions was assessed. Wind erosion was measured during 82 high-wind events occurring between 2005 and 2008. Simulated and measured erosion values were compared. For wind erosion simulation during discrete periods, the model was loaded with wind speeds averaged in 5 minutes and 1 hour- intervals. For continuous simulation, a weather file for RWEQ/ 97 was developed and Weibull factors were calculated using both hourly and daily wind speeds. When the discrete version of RWEQ was used with hourly wind speeds instead of five-minute averages, the total simulated soil loss was reduced by 44%. The model efficiency was not significantly affected by wind speed data resolution. RWEQ continuous version, loaded with monthly Weibull parameters using hourly wind speeds, calculated zero erosion. Monthly Weibull distribution scale factors calculated using daily wind speeds were reduced by 32% on average with respect to hourly data. Increasing the Weibull scale parameter by up to 50% slightly improved the monthly simulated erosion rates. Using low resolution wind speed data reduces the model outputs. This may be corrected but a large amount of field information is needed.
Fil: Panebianco, Juan Esteban. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;
Fil: Buschiazzo, Daniel Eduardo. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;
Materia
WIND EROSION PREDICTION
WIND DATA
WIND ENERGY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/1480

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network_name_str CONICET Digital (CONICET)
spelling Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)Panebianco, Juan EstebanBuschiazzo, Daniel EduardoWIND EROSION PREDICTIONWIND DATAWIND ENERGYhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In wind erosion modelling and assessment, wind speed is a crucial variable. Available records for large regions of the world generally show relatively low temporal resolution. The effect of using wind data of different temporal resolutions in RWEQ discrete and continuous versions was assessed. Wind erosion was measured during 82 high-wind events occurring between 2005 and 2008. Simulated and measured erosion values were compared. For wind erosion simulation during discrete periods, the model was loaded with wind speeds averaged in 5 minutes and 1 hour- intervals. For continuous simulation, a weather file for RWEQ/ 97 was developed and Weibull factors were calculated using both hourly and daily wind speeds. When the discrete version of RWEQ was used with hourly wind speeds instead of five-minute averages, the total simulated soil loss was reduced by 44%. The model efficiency was not significantly affected by wind speed data resolution. RWEQ continuous version, loaded with monthly Weibull parameters using hourly wind speeds, calculated zero erosion. Monthly Weibull distribution scale factors calculated using daily wind speeds were reduced by 32% on average with respect to hourly data. Increasing the Weibull scale parameter by up to 50% slightly improved the monthly simulated erosion rates. Using low resolution wind speed data reduces the model outputs. This may be corrected but a large amount of field information is needed.Fil: Panebianco, Juan Esteban. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;Fil: Buschiazzo, Daniel Eduardo. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;Asociación Argentina de la Ciencia del Suelo2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1480Panebianco, Juan Esteban; Buschiazzo, Daniel Eduardo; Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ); Asociación Argentina de la Ciencia del Suelo; Ciencia del Suelo; 31; 2; 6-2013; 189-1990326-3169enginfo:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672013000200005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:17Zoai:ri.conicet.gov.ar:11336/1480instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:36:17.908CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
title Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
spellingShingle Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
Panebianco, Juan Esteban
WIND EROSION PREDICTION
WIND DATA
WIND ENERGY
title_short Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
title_full Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
title_fullStr Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
title_full_unstemmed Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
title_sort Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)
dc.creator.none.fl_str_mv Panebianco, Juan Esteban
Buschiazzo, Daniel Eduardo
author Panebianco, Juan Esteban
author_facet Panebianco, Juan Esteban
Buschiazzo, Daniel Eduardo
author_role author
author2 Buschiazzo, Daniel Eduardo
author2_role author
dc.subject.none.fl_str_mv WIND EROSION PREDICTION
WIND DATA
WIND ENERGY
topic WIND EROSION PREDICTION
WIND DATA
WIND ENERGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In wind erosion modelling and assessment, wind speed is a crucial variable. Available records for large regions of the world generally show relatively low temporal resolution. The effect of using wind data of different temporal resolutions in RWEQ discrete and continuous versions was assessed. Wind erosion was measured during 82 high-wind events occurring between 2005 and 2008. Simulated and measured erosion values were compared. For wind erosion simulation during discrete periods, the model was loaded with wind speeds averaged in 5 minutes and 1 hour- intervals. For continuous simulation, a weather file for RWEQ/ 97 was developed and Weibull factors were calculated using both hourly and daily wind speeds. When the discrete version of RWEQ was used with hourly wind speeds instead of five-minute averages, the total simulated soil loss was reduced by 44%. The model efficiency was not significantly affected by wind speed data resolution. RWEQ continuous version, loaded with monthly Weibull parameters using hourly wind speeds, calculated zero erosion. Monthly Weibull distribution scale factors calculated using daily wind speeds were reduced by 32% on average with respect to hourly data. Increasing the Weibull scale parameter by up to 50% slightly improved the monthly simulated erosion rates. Using low resolution wind speed data reduces the model outputs. This may be corrected but a large amount of field information is needed.
Fil: Panebianco, Juan Esteban. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;
Fil: Buschiazzo, Daniel Eduardo. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;
description In wind erosion modelling and assessment, wind speed is a crucial variable. Available records for large regions of the world generally show relatively low temporal resolution. The effect of using wind data of different temporal resolutions in RWEQ discrete and continuous versions was assessed. Wind erosion was measured during 82 high-wind events occurring between 2005 and 2008. Simulated and measured erosion values were compared. For wind erosion simulation during discrete periods, the model was loaded with wind speeds averaged in 5 minutes and 1 hour- intervals. For continuous simulation, a weather file for RWEQ/ 97 was developed and Weibull factors were calculated using both hourly and daily wind speeds. When the discrete version of RWEQ was used with hourly wind speeds instead of five-minute averages, the total simulated soil loss was reduced by 44%. The model efficiency was not significantly affected by wind speed data resolution. RWEQ continuous version, loaded with monthly Weibull parameters using hourly wind speeds, calculated zero erosion. Monthly Weibull distribution scale factors calculated using daily wind speeds were reduced by 32% on average with respect to hourly data. Increasing the Weibull scale parameter by up to 50% slightly improved the monthly simulated erosion rates. Using low resolution wind speed data reduces the model outputs. This may be corrected but a large amount of field information is needed.
publishDate 2013
dc.date.none.fl_str_mv 2013-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/1480
Panebianco, Juan Esteban; Buschiazzo, Daniel Eduardo; Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ); Asociación Argentina de la Ciencia del Suelo; Ciencia del Suelo; 31; 2; 6-2013; 189-199
0326-3169
url http://hdl.handle.net/11336/1480
identifier_str_mv Panebianco, Juan Esteban; Buschiazzo, Daniel Eduardo; Effect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ); Asociación Argentina de la Ciencia del Suelo; Ciencia del Suelo; 31; 2; 6-2013; 189-199
0326-3169
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672013000200005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Asociación Argentina de la Ciencia del Suelo
publisher.none.fl_str_mv Asociación Argentina de la Ciencia del Suelo
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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