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Soil loss and runoff obtained with customized precipitation patterns simulated by InfiAsper

International Soil and Water Conservation Research 2022年第3期10卷 407-413页

作者： Daniel Fonseca de Carvalho pietro menezes sanchez macedo Marinaldo Ferreira Pinto Wilk Sampaio de Almeida Nivaldo Schultz Department of Engineering Institute of TechnologyFederal Rural University of Rio de JaneiroSeropedicaRio de JaneiroBrazil Postgraduate Program in Agronomy-Soil Sciences Federal Rural University of Rio de JaneiroSeropedicaRio de JaneiroBrazil Agronomy Department Federal Institute of EducationScience and Technology of RondoniaCampus AriquemesRO 257Km 13AriquemesRO76870-000Brazil Department of Soil Science Institute of AgronomyFederal Rural University of Rio de JaneiroSeropedicaRJBrazil

Applying constant precipitation intensity,which does not occur in natural events,is one of the main limitations concerning rainfall simulators in soil erosion *** present work evaluated the InfiAsper rainfall simulator operating with a new control panel to program rainfalls with different precipitation intensities(PI).Infiltration rates and soil and water losses were evaluated in a Distrophic Acrisol(clay loam texture)with simulated rainfalls of 30 mm and duration of 40 min,considering advanced(AD),intermediate(IN),delayed(DE),and inverted intermediate(II)patterns,all with PI peaks of 110 mm h^(-1),and a constant(CT)*** experimental design was in randomized blocks with five treatments(rainfall patterns)and experimental units measuring 2.5×2.5 *** simulator worked satisfactorily,applying the rainfall according to the preconfigured *** simulated rainfall with the CT and II patterns did not promote runoff nor soil *** and runoff rates varied according to the applied rainfall pattern,reaching 97.8 and 27.3 mm h^(-1)(AD),82.1 and 39.5 mm h^(-1)(IN),and 76.2 and 49.7 mm h^(-1)(DE),*** loss and surface runoff totaled each 4.77 g m^(-2)and 3.9 mm(AD),6.70 g m^(-2)and 6.8 mm(IN),and 6.03 g m^(-2)and 7.0 mm(DE).The InfiAsper simulator modified enables varying precipitation intensity besides obtaining satisfactory results in the field and information consistent with the expected characteristics of natural rainfall *** the intermediate and delayed rainfall patterns,soil and water losses are higher than in the advanced.

关键词： Water erosion Rainfall simulator Precipitation intensity

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New approach for obtaining the C-factor of RUSLE considering the seasonal effect of rainfalls on vegetation cover

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International Soil and Water Conservation Research 2021年第2期9卷 207-216页

作者： pietro menezes sanchez macedo Paulo Tarso Sanches Oliveira Mauro Antonio Homem Antunes Valdemir Lucio Durigon Elaine Cristina Cardoso Fidalgo Daniel Fonseca de Carvalho Agronomy-Soil Science Post Graduate Program Federal Rural University of Rio de JaneiroBR 465km 723897-000SeropedicaRJBrazil Federal University of Mato Grosso do Sul CxP.549Campo GrandeMS79070-900Brazil Federal Rural University of Rio de Janeiro Engineering DepartmentBR 465km 723897-000SeropedicaRJBrazil Technical College of the Federal Rural University of Rio de Janeiro BR 465km 723897-000SeropedicaRJBrazil National Center for Soil Research Brazilian Agricultural Research CorporationRio de JaneiroBrazil

We present a new approach for calculating the C-factor of RUSLE considering the effect of low-reflectance vegetation cover areas on the reduction of the effects on erosion caused by rainfall *** this,we propose the coefficients Cr2(rescaled 2)and C-PC(Precipitation Correction),which represent the Cfactor,and an adaptation in NDVI calculation,according to the seasonality of precipitation(NDVI-PC).The Cr2 factor is used when there is no seasonal effect of rainfall on vegetation,while the C-PC factor is calculated for localities under the influence of seasonality,from *** proposed approaches were tested using different satellites images in the Palmares-Ribeir~ao do Saco watershed,Rio de Janeiro,*** values of Cr2 and C-PC factors were compared to the Cr factor(rescaled)and to mean values from the literature for different land *** results indicated that the Cr2 factor represents an improvement in accuracy in relation to Cr by considering specific values of the studied area to normalize the data without ***,the C-PC factor is able to simulate the effect of seasonality,providing more realistics values of soil loss by the RUSLE as a function of the proportion of area affected by the rainfall seasonality obtained from *** conclude that both Cr2 and C-PC factors generate values similar of the C-factor observed in the literature,and therefore are able to provide better soil loss estimation than that using the Cr factor.

关键词： Soil erosion Land cover Soil use and management factor Vegetation seasonality NDVI

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