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Spatial and temporal variability of rainfall erosivity factor for Switzerland

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Abstract. Rainfall erosivity, considering rainfall amount and intensity, is an important parameter for soil erosion risk assessment under future land use and climate change. Despite its importance, rainfall erosivity is usually implemented in models with a low spatial and temporal resolution. The purpose of this study is to assess the temporal- and spatial distribution of rainfall erosivity (R-factor) in Switzerland. Time series of 22 yr for rainfall (10 min resolution) and temperature (1 h resolution) data were analysed for 71 automatic gauging stations distributed throughout Switzerland. Multiple regression was used to interpolate the erosivity values of single stations and to generate a map for Switzerland. Latitude, longitude, average annual precipitation, biogeographic units (Jura, Midland, etc.), aspect and elevation were used as covariates, of which average annual precipitation, elevation and the biographic unit (Western Alps) were significant predictors. The mean value of long-term rainfall erosivity is 1323 MJ mm ha−1 h−1 yr−1 with a range of lowest values of 124 MJ mm ha−1 h−1 yr−1 at an elevated station in Grisons to highest values of 5611 MJ mm ha−1 h−1 yr−1 in Ticino. All stations have highest erosivity values from July to August and lowest values in the winter month. Swiss-wide the month May to October show significantly increasing trends of erosivity (p<0.005). Only in February a significantly decreasing trend of rainfall erosivity is found (p<0.01). The increasing trends of erosivity in May, September and October when vegetation cover is susceptible are likely to enhance soil erosion risk for certain agricultural crops and alpine grasslands in Switzerland.
Title: Spatial and temporal variability of rainfall erosivity factor for Switzerland
Description:
Abstract.
Rainfall erosivity, considering rainfall amount and intensity, is an important parameter for soil erosion risk assessment under future land use and climate change.
Despite its importance, rainfall erosivity is usually implemented in models with a low spatial and temporal resolution.
The purpose of this study is to assess the temporal- and spatial distribution of rainfall erosivity (R-factor) in Switzerland.
Time series of 22 yr for rainfall (10 min resolution) and temperature (1 h resolution) data were analysed for 71 automatic gauging stations distributed throughout Switzerland.
Multiple regression was used to interpolate the erosivity values of single stations and to generate a map for Switzerland.
Latitude, longitude, average annual precipitation, biogeographic units (Jura, Midland, etc.
), aspect and elevation were used as covariates, of which average annual precipitation, elevation and the biographic unit (Western Alps) were significant predictors.
The mean value of long-term rainfall erosivity is 1323 MJ mm ha−1 h−1 yr−1 with a range of lowest values of 124 MJ mm ha−1 h−1 yr−1 at an elevated station in Grisons to highest values of 5611 MJ mm ha−1 h−1 yr−1 in Ticino.
All stations have highest erosivity values from July to August and lowest values in the winter month.
Swiss-wide the month May to October show significantly increasing trends of erosivity (p<0.
005).
Only in February a significantly decreasing trend of rainfall erosivity is found (p<0.
01).
The increasing trends of erosivity in May, September and October when vegetation cover is susceptible are likely to enhance soil erosion risk for certain agricultural crops and alpine grasslands in Switzerland.

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