Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea

Lee, Joon Hak; Heo, Jun Haeng

doi:10.1016/j.jhydrol.2011.07.031

Cited by 152 publications

(86 citation statements)

References 36 publications

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“…Water erosion causes environmental degradation (Lee and Heo, 2011;Xin et al, 2011) and is affected by natural and human factors involved in climate, terrain, soil, land use and management. During the past decades, the global and regional climate has shown various changes (IPCC, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Due to lack of rainfall process data, this method is seldom used to estimate rainfall erosivity in long-term trend or at large scale (Meusburger et al, 2012). As an alternative, simple algorithms have been used to predict rainfall erosivity from routine meteorological records of annual (Lee and Heo, 2011), monthly (Loureiro and Coutinho, 2001;Renard and Freimund, 1994), and daily (Yu and Rosewell, 1996;Zhang et al, 2002) rainfall data. In these algorithms, rainfall erosivity is calculated as an exponential (Richardson, 1983), linear (Lo et al, 1985) or logarithmic (Wischmeier and Smith, 1965) function of rainfall amount.…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Yang

2015

CATENA

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This study evaluated rainfall erosivity and its changes in China's dryland region during 1961-2012, using a daily rainfall erosivity model, ArcGIS based spatial interpolation tools, and the Mann-Kendall and Sen's methods. It was found that mean rainfall erosivity was 2-4098 MJ mm ha −1 h −1 a −1 in the region, with the regional average of 794 MJ mm ha −1 h −1 a −1 , showing a significant increase trend accordingly with an increase in rainfall from northwest to southeast. Rainfall erosivity varied annually with the CV of 32.4-491.3%, and varied seasonally with about three-quarter distributed in summer. During 1961-2012, a statistically significant increase/decrease trend in rainfall erosivity was detected only for 24/10 stations or about 4.6/0.4% of the region, and a nonsignificant increase/decrease trend was observed for 32/45 stations or 16.5/10.0% of the region at the 50 to 90% confidence level. No statistically confidential trend was found for other 126 stations or 68.5% of the region. At regional level, mean annual erosivity of the arid zone indicated an upward trend, while the sub-humid zone a downward, but the semi-arid zone generally had no evidential trend. Comparing the 26 year's averages during 1987-2012 and 1961-1986, mean erosivity of the arid zone increased by 17.4%, the sub-humid zone decreased by 6.1%, and the semi-arid zone reduced slightly by 0.45%. The results suggest that change in the rainfall characteristics during the past half century had no significant influence on water erosion in the majority of the region, but it could probably induce an increase of water erosion risk in parts of the drier west and a slight decrease in parts of the wetter east including the Loess Plateau.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Yang

2015

CATENA

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“…Vegetation types were very important in reducing soil erosion and changing hydraulic conductivity [33,34], and rainfall amount is the primary cause of affecting soil erosion [35]. In this study, when rainfall was <5 mm/day, throughfall occupied 63.4% of rainwater.…”

Section: Effects Of Canopy Throughfall On Soil Erosionmentioning

confidence: 76%

“…When rainfall was >20 mm/day, the contribution of rainwater to throughfall was 95.4%, indicating the throughfall came mainly from the rainwater passing through the shrub canopy. Lee and Heo [35] proved that annual rainfall erosion was positive with annual precipitation. Therefore, the ability of the Q. aquifolioides shrub canopy in retention and reservation of precipitation decreased and soil erosion increased with throughfall amount increasing.…”

Section: Effects Of Canopy Throughfall On Soil Erosionmentioning

confidence: 98%

Analyzing Effects of Shrub Canopy on Throughfall and Phreatic Water Using Water Isotopes, Western China

Liu

et al. 2012

CLEAN Soil Air Water

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Alpine shrub Quercus aquifolioides was selected to study the effects of shrub canopy on throughfall and phreatic water by analyzing the isotopic time series of precipitation, canopy throughfall and phreatic water and examining correlations among these series in Wolong Nature Reserve, Western China. Based on analysis of precipitation data in 2003, the local meteoric water line during the rainy season was dD ¼ 8.and the primary precipitation moisture in this region originated from the Pacific Ocean in the summer. Stable isotope analysis showed that the main supply of throughfall and phreatic water was from precipitation, and the shrub canopy has an important effect on the processes of rainwater transmuted into throughfall and phreatic water. Moreover, the differences of dD and d 18 O values between rainwater and throughfall were relevant to rainfall. Due to interception of the shrub canopy, there had a response hysteresis of phreatic water to the various rainfall events, which was mostly 2 days, except that this hysteresis was 1 day when rainfall was >15 mm/day.

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“…There have been many attempts worldwide to establish correlations between the R-factor calculated by the prescribed method and more readily available rainfall data, such as daily and monthly precipitation (Renard and Freimund, 1994;Yu and Rosewell, 1996;Loureiro and Coutinho, 2001;Yu et al, 2001;Colotti, 2004;Diodato, 2004;Petkovšek and Mikoš, 2004;Diodato and Bellochi, 2007;Salako, 2008;Angulo-Martínez and Beguería, 2009;Bonilla and Vidal, 2011;Lee and Heo, 2011). Nonetheless, most of the obtained equations have limited application outside of the areas in which they were developed without a thorough validation analysis.…”

Section: Introductionmentioning

confidence: 99%

Estimate of the (R)USLE rainfall erosivity factor from monthly precipitation data in mainland Spain

Hernando

Romana

2016

Journal of Iberian Geology

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Calculation of the rainfall erosivity factor (R-factor) of the (R)USLE model requires continuous recording rain gauges, which may limit its use in areas without good temporal data coverage. In mainland Spain, the Nature Conservation Institute (ICONA) determined the Rfactor at few selected pluviographs, so simple estimates of the R-factor are definitely of great interest. The objectives of this study were: (1) to identify a readily available estimate of the R-factor for mainland Spain; (2) to discuss the applicability of a single (global) estimate based on analysis of regional results; (3) to evaluate the effect of record length on estimate precision and accuracy; and (4) to validate an available regression model developed by ICONA. Four estimators based on monthly precipitation were computed at 74 rainfall stations throughout mainland Spain. The regression analysis conducted at a global level clearly showed the modified Fournier index (MFI) ranked first among all assessed indexes. Applicability of this preliminary global model across mainland Spain was evaluated by analyzing regression results obtained at a regional level. It was found that three contiguous regions of Eastern Spain (Catalonia, Valencian Community and Murcia) could have a different rainfall erosivity pattern, so a new regression analysis was conducted by dividing mainland Spain into two areas: Eastern Spain and Plateau-lowland area. A comparative analysis concluded that the bi-areal regression model based on MFI for a 10-year record length provided a simple, precise and accurate estimate of the R-factor in mainland Spain. Finally, validation of the regression model proposed by ICONA showed that R-ICONA index overpredicted the R-factor by approximately 19%.Keywords: rainfall erosivity, R-factor, Universal Soil Loss Equation, modified Fournier index, soil erosion, Spain Resumen La necesidad de disponer de un registro continuo de la precipitación dificulta el cálculo del índice de erosión pluvial (factor R) del modelo (R)USLE en zonas sin un buen registro temporal. En la España peninsular, el Instituto para la Conservación de la Naturaleza (ICONA) determinó el factor R en un reducido número de pluviógrafos, por lo que es de gran interés disponer de una herramienta que permita estimar el factor R de manera sencilla. Los objetivos de este estudio fueron: (1) identificar un estimador del factor R en la España peninsular; (2) discutir la aplicabilidad de un único modelo de estimación global a partir de los resultados obtenidos a nivel regional; (3) analizar el efecto de la longitud del intervalo de cálculo en la precisión y exactitud de las estimaciones; y (4) evaluar el modelo de regresión disponible propuesto por ICONA. Para ello se calcularon cuatro estimadores basados en la precipitación mensual en 74 estaciones pluviométricas repartidas por la geografía peninsular. El análisis de regresión llevado a cabo demostró que el índice de Fournier modificado (MFI) es el mejor estimador. La aplicabilidad del modelo global generado inicialmente se eva...

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Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea

Cited by 152 publications

References 36 publications

Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Analyzing Effects of Shrub Canopy on Throughfall and Phreatic Water Using Water Isotopes, Western China

Estimate of the (R)USLE rainfall erosivity factor from monthly precipitation data in mainland Spain

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