Assessing the sources of uncertainty associated with the calculation of rainfall kinetic energy and erosivity – application to the Upper Llobregat Basin, NE Spain

Catari, G.; Latron, Jérôme; Gallart, Francesc

doi:10.5194/hess-15-679-2011

Cited by 25 publications

(16 citation statements)

References 27 publications

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“…It is important to quantify the uncertainty and generate the uncertainty map as well as the R factor map. Five key sources of uncertainty in a rainfall erosivity map were evaluated including: (i) rainfall measurement limitations (instrumental errors), (ii) the efficiency of the KE‐ I equation used to compute rainfall kinetic energy from intensity, (iii) the effectiveness of the regressions used to compute rainfall erosivity from daily or coarser temporal resolution rainfall inputs, (iv) the interannual variability of annual rainfall erosivity values, and (v) the spatial variability of rainfall erosivity values (Catari et al, 2011; Hanel et al, 2016). The estimation of the spatial variability of rainfall erosivity values is mainly related to station density or the resolution of gridded data and the interpolation method used, including the effectiveness of the covariates (Table 4).…”

Section: Mapping Outside the United Statesmentioning

confidence: 99%

Rainfall Erosivity: An Overview of Methodologies and Applications

Yin

Nearing

Borrelli

et al. 2017

Vadose Zone Journal

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The rainfall erosivity factor (R factor) is one of six erosion factors in the Universal Soil Loss Equation (USLE), which together reflect the combined effects that cause soil loss by rill and interrill erosion on hillslopes by precipitation. It is defined as the summation of event EI 30 (the product of kinetic energy and maximum 30-min intensity) over a year and calculated based on rainfall hyetograph data. The R factor was developed in the various versions of the USLE, including the definition of the individual event and the criterion for selecting events used in the calculation, the equation used to estimate the unit kinetic energy from the rainfall intensity, the estimation of erosivity from the snowmelt and thaw, and erosivity mapping. Most research on rainfall erosivity deals with any of three aspects: developing estimation methods for deriving erosivity from courser resolution rainfall data (such as daily, monthly, and annual) but with greater spatial and temporal coverages than those from hyetograph data; preparing erosivity maps including those for annual average, monthly, and 10-yr recurrence erosivity; and documenting temporal trends in erosivity. Rainfall erosivity research on these three aspects is summarized to provide a greater understanding of the R factor.

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Section: Mapping Outside the United Statesmentioning

confidence: 99%

Rainfall Erosivity: An Overview of Methodologies and Applications

Yin

Nearing

Borrelli

et al. 2017

Vadose Zone Journal

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“…This could be explained by the fact that SOL AWC represented soil moisture characteristics or plant available water. This parameter plays an important role in evaporation, which is associated with runoff (Burba and Verma, 2005). It has also been suggested that the soil water capacity has an inverse relationship with various water balance components (Kannan et al, 2007).…”

Section: Uncertainty Of Parametersmentioning

confidence: 99%

Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China

Shen

Chen

2012

Hydrol. Earth Syst. Sci.

170

132

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Abstract. The calibration of hydrologic models is a worldwide challenge due to the uncertainty involved in the large number of parameters. The difficulty even increases in a region with high seasonal variation of precipitation, where the results exhibit high heteroscedasticity and autocorrelation. In this study, the Generalized Likelihood Uncertainty Estimation (GLUE) method was combined with the Soil and Water Assessment Tool (SWAT) to quantify the parameter uncertainty of the stream flow and sediment simulation in the Daning River Watershed of the Three Gorges Reservoir Region (TGRA), China. Based on this study, only a few parameters affected the final simulation output significantly. The results showed that sediment simulation presented greater uncertainty than stream flow, and uncertainty was even greater in high precipitation conditions (from May to September) than during the dry season. The main uncertainty sources of stream flow came from the catchment process while a channel process impacts the sediment simulation greatly. It should be noted that identifiable parameters such as CANMX, ALPHA BNK, SOL K could be obtained with an optimal parameter range using calibration method. However, equifinality was also observed in hydrologic modeling in TGRA. This study demonstrated that care must be taken when calibrating the SWAT model with non-identifiable parameters because these may lead to equifinality of the parameter values. It was anticipated this study would provide useful information for hydrology modeling related to policy development in the Three Gorges Reservoir Region (TGRA) and other similar areas.

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“…We used this criterion because 3 mm or less of precipitation does not promote significant changes in the soil water budget (PÉRON; CASTRO NETO, 1986). To evaluate whether a given rainfall event can be considered as erosive, two criteria were considered: kinetic energy of rainfall greater than 3.6 MJ ha -1 or a rainfall depth greater than 12.5 mm over 10 minutes (CATARI et al, 2011).…”

Section: Relationships Between Sst Indices and Rainfall Erosive Variamentioning

confidence: 99%

Sea surface temperature (SST) and rainfall erosivity in the Upper Grande River Basin, southeast Brazil

Mello¹,

Norton²,

Curi³

et al. 2012

Ciênc. agrotec.

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Relationships between regional climates and oceanic and atmospheric anomalies are important in understanding the rainfall regime of a given region. This work aimed to analyze rainfall erosivity in the Upper Grande River Basin, Southern Minas Gerais State, Brazil; namely the two most representative environments, the Mantiqueira Range (MR) and the Plateau of Campos das Vertentes (PCV). These areas can be affected by the El Niño Southern Oscillation (ENSO) phenomena, which can be evaluated by indicators such as Sea Surface Temperature (SST) for the Niño 3.4 Region. Rainfall erosivity was calculated for individual rainfall events from January, 2006 to December, 2010. Pearson's coefficient of correlation was used to evaluate the relationships between rainfall variables and SST. The coefficients of correlation were significant for both sub-regions. Correlations between the rainfall variables and negative oscillations of SST were also significant, especially in the MR sub-region, however, the Person's coefficients were lower than those obtained for the SST positive oscillations. These results demonstrate that El-Niño phenomenon can be considered an important factor in the intense rainfall behavior of the Upper Grande River Basin.Index terms: Soil erosion, El-Niño, La-Niña, Grande River basin. RESUMORelações entre o clima regional e as anomalias oceânicas e atmosféricas consistem de importantes ferramentas para o entendimento do regime de chuvas intensas em uma dada região. Neste trabalho, objetivou-se analisar a erosividade da chuva na bacia hidrográfica do Alto Rio Grande, sul de Minas Gerais. O estudo considerou as duas sub-regiões mais representativas da mesma, sendo a Serra da Mantiqueira (SM) e o Planalto Campos das Vertentes (PCV). Essas áreas podem ser afetadas pelos fenômenos associados ao El Niño Oscilação Sul (ENSO), o qual pode ser avaliado como função da Temperatura da Superfície do Mar (TSM) para a região do Niño 3.4. A erosividade da chuva foi calculada para cada evento individual de chuva entre janeiro/2006 e dezembro/2010. O coeficiente de correlação de Pearson foi usado para avaliar as possíveis relações entre as variáveis associadas às chuvas erosivas e à TSM. Os coeficientes de correlação foram significativos para ambas as sub-regiões. As correlações entre as variáveis estudadas e as oscilações negativas da TSM também foram significativas, especialmente para a sub-região SM, contudo, os coeficientes foram menores do que aqueles obtidos para oscilações positivas. Os resultados demonstram que o fenômeno El-Niño pode ser mais importante para o comportamento de chuvas intensas na cabeceira da bacia do rio Grande. Termos para indexação:Erosão do solo, El-Niño, La-Niña, bacia do Rio Grande.

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Assessing the sources of uncertainty associated with the calculation of rainfall kinetic energy and erosivity – application to the Upper Llobregat Basin, NE Spain

Cited by 25 publications

References 27 publications

Rainfall Erosivity: An Overview of Methodologies and Applications

Rainfall Erosivity: An Overview of Methodologies and Applications

Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China

Sea surface temperature (SST) and rainfall erosivity in the Upper Grande River Basin, southeast Brazil

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