Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4307-2016
© 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-20-4307-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The rainfall erosivity factor in the Czech Republic and its uncertainty
Faculty of Environmental Sciences, Czech University of Life Sciences, Kamýcká 1176, Prague 6, Czech Republic
T. G. Masaryk Water Research Institute, Podbabská 30, Prague 6, Czech Republic
Petr Máca
Faculty of Environmental Sciences, Czech University of Life Sciences, Kamýcká 1176, Prague 6, Czech Republic
Petr Bašta
Faculty of Environmental Sciences, Czech University of Life Sciences, Kamýcká 1176, Prague 6, Czech Republic
Radek Vlnas
Faculty of Environmental Sciences, Czech University of Life Sciences, Kamýcká 1176, Prague 6, Czech Republic
Pavel Pech
Faculty of Environmental Sciences, Czech University of Life Sciences, Kamýcká 1176, Prague 6, Czech Republic
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24 citations as recorded by crossref.
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- Using a Rainfall Simulator to Define the Effect of Soil Conservation Techniques on Soil Loss and Water Retention J. Stašek et al. 10.3390/land12020431
- Crop-management factor calculation using weights of spatio-temporal distribution of rainfall erosivity J. BRYCHTA et al. 10.17221/100/2017-SWR
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- 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
- Rainfall Erosivity: An Overview of Methodologies and Applications S. Yin et al. 10.2136/vzj2017.06.0131
- Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application J. Brychta et al. 10.1016/j.catena.2022.106454
- The influence in rainfall erosivity calculation by using different temporal resolution in Mediterranean area M. Piccarreta et al. 10.1016/j.scitotenv.2023.167411
- BaHSYM: Parsimonious Bayesian hierarchical model to predict river sediment yield O. Zoboli et al. 10.1016/j.envsoft.2020.104738
- Estimation of rainfall erosivity based on WRF-derived raindrop size distributions Q. Dai et al. 10.5194/hess-24-5407-2020
- Estimating Rainfall Erosivity Factor Using Future Climate Projection in the Myjava Region (Slovakia) P. Valent & R. Výleta 10.2478/ahr-2021-0007
- Extreme rainfall erosivity: Research advances and future perspectives Y. Zhao et al. 10.1016/j.scitotenv.2024.170425
- GloRESatE: A dataset for global rainfall erosivity derived from multi-source data S. Das et al. 10.1038/s41597-024-03756-5
- Evaluation of discrepancies in spatial distribution of rainfall erosivity in the Czech Republic caused by different approaches using GIS and geostatistical tools J. BRYCHTA & M. JANEČEK 10.17221/176/2015-SWR
- Climate Change Impacts on Soil Erosion and Sediment Delivery to German Federal Waterways: A Case Study of the Elbe Basin M. Uber et al. 10.3390/atmos13111752
- Prediction method of power cable insulation remaining life considering the uncertainty of influencing factors L. Li et al. 10.3233/JIFS-219112
- Analysis of the Asymmetric Characteristic of Extreme Rainfall Erosivity in 8 Provinces of Southern China during 1961–2020 D. Zhu et al. 10.3390/w15132408
- Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux? B. Jáchymová et al. 10.3390/w12061787
- 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
- Soil erosion as a source of sediment and phosphorus in rivers and reservoirs – Watershed analyses using WaTEM/SEDEM J. Krasa et al. 10.1016/j.envres.2019.01.044
- Regionalization of monthly rainfall erosivity patterns in Switzerland S. Schmidt et al. 10.5194/hess-20-4359-2016
- Risk to residents, infrastructure, and water bodies from flash floods and sediment transport M. Bauer et al. 10.1007/s10661-019-7216-7
20 citations as recorded by crossref.
- Past, present and future rainfall erosivity in central Europe based on convection-permitting climate simulations M. Uber et al. 10.5194/hess-28-87-2024
- Spatial and temporal variations in rainfall erosivity and erosivity density in South Korea J. Shin et al. 10.1016/j.catena.2019.01.005
- Using a Rainfall Simulator to Define the Effect of Soil Conservation Techniques on Soil Loss and Water Retention J. Stašek et al. 10.3390/land12020431
- Crop-management factor calculation using weights of spatio-temporal distribution of rainfall erosivity J. BRYCHTA et al. 10.17221/100/2017-SWR
- Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale Q. Dai et al. 10.1126/sciadv.adg5551
- Empirical Modeling of Soil Loss and Yield Utilizing RUSLE and SYI: A Geospatial Study in South Sikkim, Teesta Basin M. Nawazuzzoha et al. 10.3390/land13101621
- 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
- Rainfall Erosivity: An Overview of Methodologies and Applications S. Yin et al. 10.2136/vzj2017.06.0131
- Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application J. Brychta et al. 10.1016/j.catena.2022.106454
- The influence in rainfall erosivity calculation by using different temporal resolution in Mediterranean area M. Piccarreta et al. 10.1016/j.scitotenv.2023.167411
- BaHSYM: Parsimonious Bayesian hierarchical model to predict river sediment yield O. Zoboli et al. 10.1016/j.envsoft.2020.104738
- Estimation of rainfall erosivity based on WRF-derived raindrop size distributions Q. Dai et al. 10.5194/hess-24-5407-2020
- Estimating Rainfall Erosivity Factor Using Future Climate Projection in the Myjava Region (Slovakia) P. Valent & R. Výleta 10.2478/ahr-2021-0007
- Extreme rainfall erosivity: Research advances and future perspectives Y. Zhao et al. 10.1016/j.scitotenv.2024.170425
- GloRESatE: A dataset for global rainfall erosivity derived from multi-source data S. Das et al. 10.1038/s41597-024-03756-5
- Evaluation of discrepancies in spatial distribution of rainfall erosivity in the Czech Republic caused by different approaches using GIS and geostatistical tools J. BRYCHTA & M. JANEČEK 10.17221/176/2015-SWR
- Climate Change Impacts on Soil Erosion and Sediment Delivery to German Federal Waterways: A Case Study of the Elbe Basin M. Uber et al. 10.3390/atmos13111752
- Prediction method of power cable insulation remaining life considering the uncertainty of influencing factors L. Li et al. 10.3233/JIFS-219112
- Analysis of the Asymmetric Characteristic of Extreme Rainfall Erosivity in 8 Provinces of Southern China during 1961–2020 D. Zhu et al. 10.3390/w15132408
- Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux? B. Jáchymová et al. 10.3390/w12061787
4 citations as recorded by crossref.
- 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
- Soil erosion as a source of sediment and phosphorus in rivers and reservoirs – Watershed analyses using WaTEM/SEDEM J. Krasa et al. 10.1016/j.envres.2019.01.044
- Regionalization of monthly rainfall erosivity patterns in Switzerland S. Schmidt et al. 10.5194/hess-20-4359-2016
- Risk to residents, infrastructure, and water bodies from flash floods and sediment transport M. Bauer et al. 10.1007/s10661-019-7216-7
Latest update: 20 Nov 2024
Short summary
The paper is focused on assessment of the contribution of various sources of uncertainty to the estimated rainfall erosivity factor. It is shown that the rainfall erosivity factor can be estimated with reasonable precision even from records shorter than recommended, provided good spatial coverage and reasonable explanatory variables are available. The research was done as an update of the R factor estimates for the Czech Republic, which were later used for climate change assessment.
The paper is focused on assessment of the contribution of various sources of uncertainty to the...