Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect

Study region: Poland Study focus: This study proposes an empirical model to assess rainfall erosivity in Poland, with a particular focus on incorporating the influence of winter snowfall on soil erosivity. Utilizing a dataset collected from 225 meteorological stations across Poland, the research aim...

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Main Authors: Paweł Marcinkowski, Vazgen Bagdasaryan
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824004257
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author Paweł Marcinkowski
Vazgen Bagdasaryan
author_facet Paweł Marcinkowski
Vazgen Bagdasaryan
author_sort Paweł Marcinkowski
collection DOAJ
description Study region: Poland Study focus: This study proposes an empirical model to assess rainfall erosivity in Poland, with a particular focus on incorporating the influence of winter snowfall on soil erosivity. Utilizing a dataset collected from 225 meteorological stations across Poland, the research aims to refine both monthly and annual rainfall erosivity assessments. An important feature of this model is the integration of daily minimum temperatures to adjust erosivity calculations during the winter months, a period typically characterized by lower erosivity due to snowfall, which is less erosive compared to rainfall. New hydrological insights for the region: During the calibration phase of annual rainfall erosivity, the model achieved a high coefficient of determination (R²) of 0.77. Validation results were similar, with an R² of 0.72. Further, the model was assessed for its seasonal performance, revealing significant variations in effectiveness across the year. For example, during the spring and autumn months, the model showed good predictive capabilities with R² values of 0.77 and 0.68, respectively. For winter and summer the R² value were slightly lower, reaching 0.64 and 0.61, respectively. Overall, the model offers a useful tool for predicting erosivity with improved accuracy by accounting for snowfall effects, which can aid in enhancing soil erosion assessments and supporting more informed soil conservation strategies.
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spelling doaj-art-4fd54dadd7f54e97b8d1f4f00366ecdb2024-12-08T06:10:56ZengElsevierJournal of Hydrology: Regional Studies2214-58182024-12-0156102076Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effectPaweł Marcinkowski0Vazgen Bagdasaryan1Department of Hydrology, Meteorology and Water Management, Institute of Environmental Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, Warsaw 02-787, Poland; Corresponding author.Institute of Civil Engineering, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166, Warsaw 02-787, PolandStudy region: Poland Study focus: This study proposes an empirical model to assess rainfall erosivity in Poland, with a particular focus on incorporating the influence of winter snowfall on soil erosivity. Utilizing a dataset collected from 225 meteorological stations across Poland, the research aims to refine both monthly and annual rainfall erosivity assessments. An important feature of this model is the integration of daily minimum temperatures to adjust erosivity calculations during the winter months, a period typically characterized by lower erosivity due to snowfall, which is less erosive compared to rainfall. New hydrological insights for the region: During the calibration phase of annual rainfall erosivity, the model achieved a high coefficient of determination (R²) of 0.77. Validation results were similar, with an R² of 0.72. Further, the model was assessed for its seasonal performance, revealing significant variations in effectiveness across the year. For example, during the spring and autumn months, the model showed good predictive capabilities with R² values of 0.77 and 0.68, respectively. For winter and summer the R² value were slightly lower, reaching 0.64 and 0.61, respectively. Overall, the model offers a useful tool for predicting erosivity with improved accuracy by accounting for snowfall effects, which can aid in enhancing soil erosion assessments and supporting more informed soil conservation strategies.http://www.sciencedirect.com/science/article/pii/S2214581824004257Rainfall erosivitySoil erosionEmpirical modelSnowfall impactErosivity modellingPrecipitation
spellingShingle Paweł Marcinkowski
Vazgen Bagdasaryan
Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect
Journal of Hydrology: Regional Studies
Rainfall erosivity
Soil erosion
Empirical model
Snowfall impact
Erosivity modelling
Precipitation
title Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect
title_full Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect
title_fullStr Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect
title_full_unstemmed Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect
title_short Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect
title_sort monthly and annual rainfall erosivity in poland an empirical model including winter snowfall effect
topic Rainfall erosivity
Soil erosion
Empirical model
Snowfall impact
Erosivity modelling
Precipitation
url http://www.sciencedirect.com/science/article/pii/S2214581824004257
work_keys_str_mv AT pawełmarcinkowski monthlyandannualrainfallerosivityinpolandanempiricalmodelincludingwintersnowfalleffect
AT vazgenbagdasaryan monthlyandannualrainfallerosivityinpolandanempiricalmodelincludingwintersnowfalleffect