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dc.provenanceCONICET-
dc.creatorPanebianco, Juan Esteban-
dc.creatorBuschiazzo, Daniel Eduardo-
dc.date2015-07-23T20:12:52Z-
dc.date2015-07-23T20:12:52Z-
dc.date2013-06-
dc.date2016-03-30 10:35:44.97925-03-
dc.date.accessioned2019-04-29T15:41:42Z-
dc.date.available2019-04-29T15:41:42Z-
dc.date.issued2013-06-
dc.identifierPanebianco, 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-
dc.identifier0326-3169-
dc.identifierhttp://hdl.handle.net/11336/1480-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/299733-
dc.descriptionIn 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.-
dc.descriptionFil: Panebianco, Juan Esteban. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;-
dc.descriptionFil: Buschiazzo, Daniel Eduardo. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherAsociación Argentina de la Ciencia del Suelo-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672013000200005-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.source.urihttp://hdl.handle.net/11336/1480-
dc.subjectWIND EROSION PREDICTION-
dc.subjectWIND DATA-
dc.subjectWIND ENERGY-
dc.subjectGeociencias multidisciplinaria-
dc.subjectCiencias de la Tierra y relacionadas con el Medio Ambiente-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleEffect of temporal resolution of wind data on wind erosion prediction with the Revised Wind Erosion Equation (RWEQ)-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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