Predicting RUSLE (Revised Universal Soil Loss Equation) monthly erosivity index from readily available rainfall data in Mediterranean area

被引：50

作者：

Diodato N. ^{[1
,2
]}

机构：

[1] Monte Pino Research Observatory on Climate and Landscape

来源：

Environmentalist | 2006年 / 26卷 / 1期

关键词：

Erosivity index; Mediterranean; Rainfall; Revised Universal Soil Loss Equation; RUSLE;

D O I：

10.1007/s10669-006-5359-x

中图分类号：

学科分类号：

摘要：

Seasonal rainerosivity is important in the structure and dynamics of Mediterranean ecosystems. The present paper contributes to the quantitative assessment of RUSLE's monthly erosion index in a data-scarce Mediterranean region. Therefore, a regionalized relationship for estimating monthly erosion index (EI 30-month) from only three rainfall parameters has been obtained. Knowledge of the seasonal and annual distribution of erosivity index, permit soil and water conservationists to make improved designs for erosion control, water harvesting or small hydraulic structures. Although a few long data sets were used in the analysis, validation with established monthly erosivity index values from other Italian locations, suggest that the model presented (r 2 = 0.973) is robust. It is recommended to monthly erosivity estimates when experimental data-scarce rainfall become available. © 2005 Springer Science + Business Media, Inc.

引用

页码：63 / 70

页数：7

共 56 条

[31]

Martinez-Casasnovas J.A., Ramos M.C., Ribes-Dasi M., Soil erosion caused by extreme rainfall events: Mapping and quantification in agricultural plots from very detailed digital elevation models, Geoderma, 105, pp. 125-140, (2002)

[32]

Mati B.M., Morgan R.P.C., Gichuki F.N., Quinton J.N., Brewer T.R., Liniger H.P., Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya, JAGeol., 2, 1, pp. 1-9, (2000)

[33]

Meneguzzo F., Giarola S., Grippa G., Gozzini B., Mesoscale operational rainfall forecasts in north-western Tuscany, Bollettino Geofisico, 19, 3-4, pp. 39-55, (1996)

[34]

Mitasova H., Hofierka J., Zlocha M., Iverson L.R., Modeling topographic potential for erosion and deposition using GIS, International Journal of Geographical Information Science, 10, 5, pp. 629-641, (1996)

[35]

Mitra B., Scott H.D., Dixon J.C., McKimmey J.M., Applications of fuzzy logic to the prediction of soil erosion in a large watershed, Geoderma, 86, pp. 183-209, (1998)

[36]

Paolucci T., Bernardini L., Ferretti R., Visconti G., Flood forecast a hight resolution limited area model, Il Nuovo Cimento, 22 C, 5, pp. 727-736, (1999)

[37]

Perini L., Beltrano M.C., Linking of traditional and automatic stations data : Operational experience of UCEA, International Conference on Experiences with Automatic Weather Stations, (2003)

[38]

Ramirez J.A., Finnerty B., Precipitation and water-table effects on agricultural production, Journal of Irrigation and Drainage Engineering, 122, pp. 164-171, (1996)

[39]

Renard K.G., Foster G.R., Weesies G.A., McCool D.K., Yoder D.C., Predicting soil erosion by water: A guide to conservation planning with the revised Universal Soil Loss Equation (RUSLE), Agricultural Handbook, 703, (1997)

[40]

Renard K.G., Freimund J.R., Using monthly precipitation data to estimate the R-factor in the revised USLE, Journal of Hydrology, 157, pp. 287-306, (1994)

← 1 2 3 4 5 6 →