Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4359-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-4359-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regionalization of monthly rainfall erosivity patterns in Switzerland
Environmental Geosciences, University of
Basel, Bernoullistrasse 30, 4056 Basel, Switzerland
Christine Alewell
Environmental Geosciences, University of
Basel, Bernoullistrasse 30, 4056 Basel, Switzerland
Panos Panagos
European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, 21027 Ispra, Italy
Katrin Meusburger
Environmental Geosciences, University of
Basel, Bernoullistrasse 30, 4056 Basel, Switzerland
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47 citations as recorded by crossref.
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46 citations as recorded by crossref.
- Global-scale application of the RUSLE model: a comprehensive review M. Kumar et al. 10.1080/02626667.2021.2020277
- Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland S. Schmidt et al. 10.1016/j.rse.2018.04.008
- Using the USLE: Chances, challenges and limitations of soil erosion modelling C. Alewell et al. 10.1016/j.iswcr.2019.05.004
- Integrating finite-element-model and remote-sensing data into SWAT to estimate transit times of nitrate in groundwater P. Preetha & A. Al-Hamdan 10.1007/s10040-020-02171-5
- Evaluating the rainfall erosivity (R-factor) from daily rainfall data: an application for assessing climate change impact on soil loss in Westrapti River basin, Nepal R. Talchabhadel et al. 10.1007/s40808-020-00787-w
- Evaluating spatio-temporal soil erosion dynamics in the Winam Gulf catchment, Kenya for enhanced decision making in the land-lake interface O. Humphrey et al. 10.1016/j.scitotenv.2021.151975
- Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways S. Das & M. Jain 10.1016/j.catena.2023.107417
- Monthly RUSLE soil erosion risk of Swiss grasslands S. Schmidt et al. 10.1080/17445647.2019.1585980
- Estimation of rainfall erosivity factor in Italy and Switzerland using Bayesian optimization based machine learning models S. Lee et al. 10.1016/j.catena.2021.105957
- Datasets and approaches for the estimation of rainfall erosivity over Italy: A comprehensive comparison study and a new method R. Padulano et al. 10.1016/j.ejrh.2021.100788
- Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE N. Diodato et al. 10.3389/feart.2021.637973
- Tools for USLE-CP-factor calculation and actual erosion risk on field block level for Switzerland P. Bircher et al. 10.1016/j.mex.2021.101569
- An integrated modeling approach for estimating monthly global rainfall erosivity A. Fenta et al. 10.1038/s41598-024-59019-1
- Developing nitrate-nitrogen transport models using remotely-sensed geospatial data of soil moisture profiles and wet depositions P. Preetha & A. Al-Hamdan 10.1080/10934529.2020.1724503
- Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application J. Brychta et al. 10.1016/j.catena.2022.106454
- An update of the spatial and temporal variability of rainfall erosivity (R-factor) for the main agricultural production zones of Austria L. Johannsen et al. 10.1016/j.catena.2022.106305
- A conceptual-model-based sediment connectivity assessment for patchy agricultural catchments P. Batista et al. 10.5194/hess-26-3753-2022
- Environmental and hydrologic controls on sediment and organic carbon export from a subalpine catchment: insights from a time series M. Schwab et al. 10.5194/bg-19-5591-2022
- Variability of Rainfall Erosivity and Erosivity Density in the Ganjiang River Catchment, China: Characteristics and Influences of Climate Change X. Li & X. Ye 10.3390/atmos9020048
- Assessment of soil erosion risk using RUSLE model, SATEEC system, remote sensing, and GIS techniques: a case study of Navroud watershed M. Fallah et al. 10.1007/s12665-023-11053-4
- Coupling linear spectral unmixing and RUSLE2 to model soil erosion in the Boubo coastal watershed, Côte d'Ivoire L. Coulibaly et al. 10.1016/j.ecolind.2021.108092
- Soil loss and sedimentation rates in a subcatchment of the Yellow river Basin in China S. Scheper et al. 10.1016/j.iswcr.2023.11.008
- Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns C. Vásquez et al. 10.1016/j.ejrh.2024.101770
- Assessment of rainfall erosivity (R-factor) during 1986–2015 across Nepal: a step towards soil loss estimation R. Talchabhadel et al. 10.1007/s10661-020-8239-9
- Temperature signal in suspended sediment export from an Alpine catchment A. Costa et al. 10.5194/hess-22-509-2018
- Introducing seasonal snow memory into the RUSLE K. Mouris et al. 10.1007/s11368-022-03192-1
- Cryospheric water regime by its functions and services in China W. Zhang et al. 10.1016/j.accre.2021.05.008
- Variabilidade espacial da erosividade das chuvas no Brasil A. Trindade et al. 10.1590/s0100-204x2016001200002
- Object‐oriented soil erosion modelling: A possible paradigm shift from potential to actual risk assessments in agricultural environments P. Borrelli et al. 10.1002/ldr.2898
- Historical predictability of rainfall erosivity: a reconstruction for monitoring extremes over Northern Italy (1500–2019) N. Diodato et al. 10.1038/s41612-020-00144-9
- Assessment of soil loss using RUSLE around Mongolian mining sites: a case study on soil erosion at the Baganuur lignite and Erdenet copper–molybdenum mines E. Sodnomdarjaa et al. 10.1007/s12665-023-10897-0
- Statistical modeling and mapping of rainfall in the endorheic basins of Northern Algeria: a comparison of spatial interpolation methods A. Guidoum 10.1007/s11600-024-01392-6
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- Spatial and temporal variations in rainfall erosivity and erosivity density in South Korea J. Shin et al. 10.1016/j.catena.2019.01.005
- A millennium-long climate history of erosive storms across the Tiber River Basin, Italy, from 725 to 2019 CE N. Diodato et al. 10.1038/s41598-021-99720-z
- Tackling soil erosion and contamination within the SDGs framework: a case study of the Erdenet copper-molybdenum mine E. Sodnomdarjaa et al. 10.1007/s00550-024-00554-w
- Challenges of rainfall erosivity prediction: A Novel GIS-Based Optimization algorithm to reduce uncertainty in large country modeling M. Kabolizadeh et al. 10.1007/s12145-023-01178-2
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- A GIS-based approach for estimating fallow-season cropland soil erosion based on rainfall erosivity C. Day & Q. Long 10.1080/02723646.2023.2188632
- Effect of time resolution of rainfall measurements on the erosivity factor in the USLE in China T. Yue et al. 10.1016/j.iswcr.2020.06.001
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- Comparison of long-term field-measured and RUSLE-based modelled soil loss in Switzerland P. Bircher et al. 10.1016/j.geodrs.2022.e00595
- Radiocarbon signatures of carbon phases exported by Swiss rivers in the Anthropocene T. Rhyner et al. 10.1098/rsta.2022.0326
- Rainfall Erosivity: An Overview of Methodologies and Applications S. Yin et al. 10.2136/vzj2017.06.0131
- Global assessment of storm disaster-prone areas N. Diodato et al. 10.1371/journal.pone.0272161
- Spatial-Temporal Trend Analysis of Rainfall Erosivity and Erosivity Density of Tropical Area in Air Bengkulu Watershed, Indonesia S. Supriyono et al. 10.2478/quageo-2021-0028
Latest update: 20 Nov 2024
Short summary
We present novel research on the seasonal dynamics of the impact of rainfall (R-factor) on the mobilization of topsoil as soil erosion by water for Switzerland. A modeling approach was chosen that enables the dynamical mapping of the R-factor. Based on the maps and modeling results, we could investigate the spatial and temporal distribution of that factor, which is high for Switzerland. With these results, agronomists can introduce selective erosion control measures.
We present novel research on the seasonal dynamics of the impact of rainfall (R-factor) on the...