Evaluation of methods for determining the LS index at different resolutions for soil erosion modeling using the RUSLE method

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dc.contributor.authorBadora, Damian
dc.contributor.authorWawer, Rafał
dc.date.accessioned2024-06-10T13:16:03Z
dc.date.available2024-06-10T13:16:03Z
dc.date.issued2023
dc.descriptionThis paper investigates the impact of Digital Terrain Model (DTM) resolution on the calculation of the sediment trans- port capacity coefficient LS within the Bystra catchment, employ- ing various methods through GIS software. The study focuses on the significant role of GIS in environmental research and process modeling, emphasizing the relevance of LS coefficient analysis in morphometry, hydrology, and geomorphology, particularly in the context of agricultural soil erosion. The study presents results from calculating the sediment trans- port capacity factor LS using three methods for different resolutions (1, 5, 10, 30, 90 meters). LS coefficient determination relies on the catchment area map and slope map, the latter determined using two methods. The catchment area considered is that of the Bystra River, a right tributary of the Vistula, flowing through Nałęczów, Wąwolnica, Celejów, Bochotnica in the Lublin Province. Upon determining the LS coefficient, variations in results are observed, dependent on the chosen method. The discussion sec- tion highlights differences in LS coefficient maps based on reso- lution and method, with notable distinctions in the north-western part for a 10-meter resolution. Analyzing LS coefficient maps at different resolutions, the study observes variations in results based on the method em- ployed. Higher LS coefficient values are noted in the river chan- nel for a 1-meter resolution, attributed to factors such as river bed structure, building rocks, terrain slope, and climate. The conclusions emphasize the use of specific methods for determining slope rasters and highlight the Desmet and Govers method as yielding smaller variances in LS coefficient determi- nation compared to other methods. The study recommends DTM models with resolutions of 1, 5, and 10 meters for LS modeling, considering their beneficial influence on variance and resolution. In summary, this paper contributes valuable insights into the influence of DTM resolution on LS coefficient calculations, pro- viding a nuanced understanding of the interplay between meth- ods, resolution, and terrain characteristics in the context of sedi- ment transport capacity.en-US
dc.formatapplication/pdf
dc.identifier.citationPolish Journal of Agronomy 2023, 52, 110–122
dc.identifier.doi10.26114/pja.iung.522.2023.52.12
dc.identifier.issn2081-2789
dc.identifier.urihttps://bc.iung.pl/handle/123456789/1247
dc.language.isoen
dc.publisherInstytut Uprawy Nawożenia i Gleboznawstwa – Państwowy Instytut Badawczy w Puławachpl-PL
dc.subjectLS factoren-US
dc.subjectsoil erosionen-US
dc.subjectspatial resolutionen-US
dc.titleEvaluation of methods for determining the LS index at different resolutions for soil erosion modeling using the RUSLE methoden-US
dc.typeinfo:eu-repo/semantics/article
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