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A macromodel dns/swat dataset for the sediment yield analysis in the raba river basin (Carpathian mts.)

A database has been created as a result of the Raba River basin (Carpathian Mts., Poland) mapping/projection in the Macromodel DNS/SWAT. The sediment yield simulations (SYLD) in each of the 36 designated sub-basins have been performed, taking also into account seasonal variability. The model subsequ...

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Detalles Bibliográficos
Autores principales: Orlińska-Woźniak, Paulina, Szalińska, Ewa, Wilk, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721601/
https://www.ncbi.nlm.nih.gov/pubmed/33313364
http://dx.doi.org/10.1016/j.dib.2020.106574
Descripción
Sumario:A database has been created as a result of the Raba River basin (Carpathian Mts., Poland) mapping/projection in the Macromodel DNS/SWAT. The sediment yield simulations (SYLD) in each of the 36 designated sub-basins have been performed, taking also into account seasonal variability. The model subsequently has been used as a reference/baseline for subsequent variant scenarios, simulating forecasted changes in the environment. The generated data ultimately allowed for creation of the current dataset. The impact of 20 variant scenarios, simulating forecasted climate and land use changes, on the sediment yield values was analyzed. The applied scenarios took into account various possibilities, from hypothetical ones, where only one parameter has been changed, to combined ones, which included simultaneous change of selected parameters. Short-term (2021–2050) and long-term (2071–2100) time horizons have also been included in this analysis. Sediment yield values and their variability, depending on the season, can be successfully used as reference values for the other mountain and sub-mountainous catchments, both in the Carpathian Mts., and throughout central Europe. Due to the permanent lack of monitoring data on the sediment yields, not only in Poland, the presented database is a valuable source of information. Moreover, spatial and temporal predictions of sediment yield changes are necessary to decide on actions which should be taken to reduce impact of climate changes at the basin scale. This data can be also used as a basis for further research related to the transport of pollutants adsorbed on sediment particles.