Estimation of Erosion Index from Daily Rainfall Amount

Richardson, C. W.; Foster, G. R.; Wright, Dan

doi:10.13031/2013.33893

Cited by 158 publications

(120 citation statements)

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“…This study presented the spatial, annual and seasonal variation of rainfall erosivity in China's dryland region based on the modified Richardson (1983) approach by Zhang et al (2002). The results showed that the rainfall erosivity varied greatly over spatial, increased from the mean value below 100 MJ mm ha −1 h −1 a −1 in the arid zone to 1000--4098 MJ mm ha −1 h −1 a −1 in the sub-humid zone.…”

Section: Discussionmentioning

confidence: 99%

“…This method was derived from the Richardson (1983) equation, EI = αP β , where EI is an event's erosivity and P is the rainfall, with the equation below to calculate half-month rainfall erosivity, R (MJ mm ha −1 h −1 ):…”

Section: Model Of Rainfall Erosivitymentioning

confidence: 99%

“…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. Daily rainfall data can adequately present the rainfall variation characteristics and are usually available, and thus are preferably used to estimate rainfall erosivity (Angulo-Martinez and Begueria, 2009).…”

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: Discussionmentioning

confidence: 99%

Section: Model Of Rainfall Erosivitymentioning

confidence: 99%

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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“…Daily rainfall amounts were also calculated from the SAIH dataset (P SAIH ). This allowed fitting an exponential relationship between both variables (Richardson et al, 1983):…”

Section: Daily Rainfall Erosivity Databasementioning

confidence: 99%

Do atmospheric teleconnection patterns influence rainfall erosivity? A study of NAO, MO and WeMO in NE Spain, 1955–2006

Angulo‐Martínez

Beguería

2012

Journal of Hydrology

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Rainfall erosivity is the ability of precipitation to erode soil. Raindrops impact on the surface-rainsplash-represents an important mechanism of soil particles detachment. If the soil is not perfectly flat rainsplash will also produce the movement of soil particles down the slope due to diffusion. But even in the case of flat soils the detached particles will be available for transport by other erosion agents such as surface runoff. Despite its importance as fundamental erosion process very few studies have addressed the climatology of rainfall erosivity. It is known fact rainfall erosivity in long term (e.g., cumulative annual values) is determined by a few number of heavy events. This study analyses the interannual variability of daily rainfall erosivity in NE Spain during the period 1955-2006, and its connection with atmospheric circulation patterns influencing rainfall in the region, namely the North Atlantic Oscillation (NAO), the Mediterranean Oscillation (MO) and the Western Mediterranean 2 Oscillation (WeMO). It is found that the erosive power of rainfall is stronger during negative phases of the three atmospheric circulation indices, and weaker during positive conditions. Daily rainfall erosivity series were adjusted to a Generalized Pareto probability distribution for positive and negative days of the atmospheric circulation indices, for assessing their effects on rainfall erosivity extreme events. Results showed higher values expected for a given return period in most of the area under negative conditions of all indices, especially at the Mediterranean coast. Overall, MO and WeMO showed the strongest influence on daily rainfall erosivity extremes. These findings would be useful in the implementation of soil conservation strategies.

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“…Le modèle CEQÉROSS constitue le coeur d'une approche géomatique qui vise à simuler, en continu, l'érosion hydrique et le transport des sédiments à l'échelle des bassins versants (DUCHEMIN étal., 2001 (RICHARDSON et al, 1983 ;FINKNER étal., 1989 ;YOUNG et al, 1990). L'appendice 1 présente les principales équations du modèle CEQEROSS.…”

Section: Modèle Ceqérossunclassified

Analyse de sensibilité du modèle CEQÉROSS

Duchemin¹,

Lachance²

2005

rseau

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L'analyse de sensibilité constitue une étape importante dans le développement et la mise en place d'un modèle de simulation. Cette analyse de sensibilité du modèle CEQÉROSS effectuée sur un petit bassin versant agricole du Québec (Canada) montre que la dimension du maillage utilisé pour découper le bassin versant de Lennoxville en éléments de calcul exerce une influence directe, mais modérée, sur la charge sédimentaire transportée à l'exutoire. Les paramètres de calage associés à l'érosivité des précipitations et les variables d'entrée décrivant la topographie influencent considérablement les résultats de la simulation pour la période considérée et, de ce fait, nécessitent une plus grande attention lors des étapes de préparation des données et de calage du modèle. La forme linéaire de l'équation de production de sédiments en rivière exerce un rôle majeur sur les charges totales annuelles simulées. L'importance relative des paramètres associés à la granulométrie des sédiments transportés en rivière indique que la capacité du cours d'eau à transporter les particules grossières limite la charge totale annuelle évacuée à l'exutoire du bassin versant de Lennoxville pendant la période d'étude. Ces résultats doivent cependant être confrontés à d'autres analyses de sensibilité afin de décider des modifications éventuelles à apporter aux équations du modèle.Sensitivity analysis is a significant step in the development of computer models used to simulate soil erosion and nonpoint source pollution because it allows to evaluate objectively the importance of changes which occur in the response of a model (output) following changes brought in the parameters and variables of the input data. The objective of this study consists of using sensitivity analysis in order to verify the influence of calibration parameters, input variables and the size of the simulation units (i.e. grid squares) on the annual suspended sediment load (net erosion) of a small agricultural watershed (78 ha) located in Lennoxville, province of Quebec (Canada) for the period October 1991 to September 1992. This sensitivity analysis uses the results of an hydro-sedimentological simulation carried out with the CEQÉROSS computer model (DUCHEMIN et al. 2001). The sensitivity analysis takes into account calibration parameters and input variables selected for their ability to influence soil and river erosion and sediment transport (table 2). The analytical procedure consists in using a sensitivity index to quantify the response of the model to extreme (minimum and maximum) values of parameters and variables. The principal results of the sensitivity analysis are presented in figure 3. The sensitivity analysis of the annual load of suspended sediments indicate that the size of the grid squares used to segment the watershed (i.e. RESOLUTION) had a direct but rather weak influence on net erosion. The results indicate that the erosivity calibration parameters EXPRP and COEFAM, the transport capacity parameters FCTS and PSDS and the topographic input variable PENTD asso...

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Estimation of Erosion Index from Daily Rainfall Amount

Cited by 158 publications

References 0 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

Do atmospheric teleconnection patterns influence rainfall erosivity? A study of NAO, MO and WeMO in NE Spain, 1955–2006

Analyse de sensibilité du modèle CEQÉROSS

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