Decadal modelling of rainfall-runoff erosivity in the Euro-Mediterranean region using extreme precipitation indices

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• 作者：Nazzareno Diodato^a ; ^{scodalabdiodato@gmail.com} ; Gianni Bellocchi^a ; ^b ; ^{giannibellocchi@yahoo.com}
• 关键词：Central Europe and Mediterranean region (CEM) ; Decadal Rainfall&ndash ; Runoff Erosivity Multiscale Model (DREMM) ; rainfall&ndash ; runoff erosivity ; Revised Universal Soil Loss Equation (RUSLE) ; temporal variability
• 刊名：Global and Planetary Change
• 出版年：2012
• 期刊代码：35_09218181
• 类别：env
• 出版时间：April, 2012
• 卷：86-87
• 期：Complete
• 页码：79-91
• 文件大小：1625 K

摘要

This paper presents and assesses the Decadal Rainfall Erosive Multiscale Model (DREMM), in which extreme precipitation data (95th percentile) are used to estimate decadal-scale rainfall-runoff erosivity values compatible with the Universal Soil Loss Equation and its revision 鈥?(R)USLE. The test area was a large region including central Europe and Mediterranean countries, in which 111 decades from 88 weather stations (ranging from about 3 to 1680 m above sea level) with rain and (R)USLE rainfall-runoff erosivity data were available. The construction of the model is simplified to a location-explicit term and to the understanding that the most erosive rainfalls are those recorded during the summertime and the beginning of autumn (May-October). These precipitation events are suitable for use in spatial and temporal climate variability studies on decadal time-scales. Once parameterized to capture decadal rainfall-runoff erosivity variability over central Europe and the Mediterranean, the DREMM was run to produce spatial patterns of rainfall-runoff erosivity in Germany and Bulgaria, compared to maps from the (R)USLE approach for 1961-1990. Implications for rainfall-runoff erosivity modelling were discussed concluding that a limited number of parameters may be sufficient to represent decadal rainfall-runoff erosivity for the central European and Mediterranean region. A transferable approach is recommended by employing the DREMM to assess the spatial impact of rainfall extremes. Its use to characterize the long-term dynamics of rainfall-runoff erosivity may also be of value in climate investigation.