20.500.12556/RUL-140933 Comparison of rainfall generators with regionalisation for the estimation of rainfall erosivity at ungauged sites Rainfall erosivity values are required for soil erosion prediction. To calculate the mean annual rainfall erosivity (R), long-term high-resolution observed rainfall data are required, which are often not available. To overcome the issue of limited data availability in space and time, four methods were employed and evaluated: direct regionalisation of R, regionalisation of 5 min rainfall, disaggregation of daily rainfall into 5 min time steps, and a regionalised stochastic rainfall model. The impact of station density is considered for each of the methods. The study is carried out using 159 recording and 150 non-recording (daily) rainfall stations in and around the federal state of Lower Saxony, Germany. In addition, the minimum record length necessary to adequately estimate R was investigated. Results show that the direct regionalisation of mean annual erosivity is best in terms of both relative bias and relative root mean square error (RMSE), followed by the regionalisation of the 5 min rainfall data, which yields better results than the rainfall generation models, namely an alternating renewal model (ARM) and a multiplicative cascade model. However, a key advantage of using regionalised rainfall models is the ability to generate time series that can be used for the estimation of the erosive event characteristics. This is not possible if regionalising only R. Using the stochastic ARM, it was assessed that more than 60 years of data are needed in most cases to reach a stable estimate of annual rainfall erosivity. Moreover, the temporal resolution of measuring devices was found to have a significant effect on R, with coarser temporal resolution leading to a higher relative bias. rainfall generator rainfall erosivity ungauged site regionalization generator padavin erozivnost padavin nemerjene lokacije regionalizacija true false true Angleški jezik Slovenski jezik Članek v reviji 2022-09-21 14:23:19 2022-09-21 14:23:24 2025-05-13 16:03:13 0000-00-00 00:00:00 2022 0 0 Str. 851-863 iss. 4 Vol. 10 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 556.1 2196-632X 10.5194/esurf-10-851-2022 120255235 esurf-10-851-2022.pdf esurf-10-851-2022.pdf 1 77C5FAB720D8747A3A2006BEBD9E8137 f2ab4fb7134a74aea0031a5ae45f8e74c468f7fedf35d0a43dd3f914116db3a2 670195c6-146a-11f0-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=201465 https://esurf.copernicus.org/articles/10/851/2022/ 1 1bceee81-39a8-11ed-92af-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=161786 Fakulteta za gradbeništvo in geodezijo 0 0 0