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CONICET Digital
Article . 2013
License: CC BY NC SA
Data sources: CONICET Digital
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Effect of temporal resolution of wind data on wind erosion prediction with the revised wind erosion equation (RWEQ)

Authors: Panebianco, Juan Esteban; Buschiazzo, Daniel Eduardo;

Effect of temporal resolution of wind data on wind erosion prediction with the revised wind erosion equation (RWEQ)

Abstract

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: Buschiazzo, Daniel Eduardo. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;

Fil: Panebianco, Juan Esteban. Consejo Nacional de Invest.cientif.y Tecnicas. Instituto D/cs D/l/tierra y Ambientales D/l/pampa; Argentina;

Country
Argentina
Keywords

datos de viento, WIND DATA, Agriculture (General), Plant culture, WIND EROSION PREDICTION, WIND ENERGY, S1-972, SB1-1110, predicción de la erosión eólica, https://purl.org/becyt/ford/1.5, energía eólica, https://purl.org/becyt/ford/1, rweq

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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