Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns
Study region: Target area of this study are the main agricultural production zones of Austria. Most important croplands cover the flat to pre-alpine areas concentrated in the north, east, and southeast of Austria. Study focus: The novelty of our study is the spatiotemporal assessment of rainfall cha...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581824001186 |
| _version_ | 1797221746454036480 |
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| author | Cristina Vásquez Andreas Klik Christine Stumpp Gregor Laaha Peter Strauss Nur Banu Özcelik Georg Pistotnik Shuiqing Yin Tomas Dostal Gabriel Gaona Stefan Strohmeier |
| author_facet | Cristina Vásquez Andreas Klik Christine Stumpp Gregor Laaha Peter Strauss Nur Banu Özcelik Georg Pistotnik Shuiqing Yin Tomas Dostal Gabriel Gaona Stefan Strohmeier |
| author_sort | Cristina Vásquez |
| collection | DOAJ |
| description | Study region: Target area of this study are the main agricultural production zones of Austria. Most important croplands cover the flat to pre-alpine areas concentrated in the north, east, and southeast of Austria. Study focus: The novelty of our study is the spatiotemporal assessment of rainfall characteristics that drive erosivity at the event level as well as the identification of erosive rainfall distribution patterns within the events. Our assessment approach allows the definition of both typical and extreme erosivity. Long-term and high temporal resolution rainfall datasets were used to apply a clustering approach, seasonal and spatial analyses, and rainfall distributions assessment (isopleths) of the identified rainfall types (clusters). New hydrological insights for the region: Three dominant erosive event-types (clusters) were identified that strongly relate with Austria’s seasonality and complex topography. The most erosive rainfall events (cluster C1) are characterized by a high intensity and short duration. C1 events have the largest occurrence frequency in pre-alpine southern Austria and occur from May to September. Unlike the less erosive and more evenly distributed event types (C2 and C3) the highly erosive C1 events have a pronounced maximum rainfall intensity at the onset of the event. |
| first_indexed | 2024-04-24T13:10:20Z |
| format | Article |
| id | doaj.art-1f36d1db3fb94c61880b110328d8d8b6 |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-04-24T13:10:20Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-1f36d1db3fb94c61880b110328d8d8b62024-04-05T04:40:48ZengElsevierJournal of Hydrology: Regional Studies2214-58182024-06-0153101770Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patternsCristina Vásquez0Andreas Klik1Christine Stumpp2Gregor Laaha3Peter Strauss4Nur Banu Özcelik5Georg Pistotnik6Shuiqing Yin7Tomas Dostal8Gabriel Gaona9Stefan Strohmeier10University of Natural Resources and Life Sciences, Institute of Soil Physics and Rural Water Management, Vienna, Austria; Corresponding author.University of Natural Resources and Life Sciences, Institute of Soil Physics and Rural Water Management, Vienna, AustriaUniversity of Natural Resources and Life Sciences, Institute of Soil Physics and Rural Water Management, Vienna, AustriaUniversity of Natural Resources and Life Sciences, Institute of Statistics, Vienna, AustriaFederal Agency for Water Management Institute for Land and Water Management Research, Petzenkirchen, AustriaUniversity of Natural Resources and Life Sciences, Institute of Statistics, Vienna, AustriaZentralanstalt für Meteorologie und Geodynamik, Vienna, AustriaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaFaculty of Civil Engineering, Czech Technical University in Prague, Prague, Czech RepublicLaboratorio de servicios hidrometeorológicos, Grupo de Recursos Hídricos y Acuáticos, Universidad Regional Amazónica Ikiam, Tena, EcuadorUniversity of Natural Resources and Life Sciences, Institute of Soil Physics and Rural Water Management, Vienna, AustriaStudy region: Target area of this study are the main agricultural production zones of Austria. Most important croplands cover the flat to pre-alpine areas concentrated in the north, east, and southeast of Austria. Study focus: The novelty of our study is the spatiotemporal assessment of rainfall characteristics that drive erosivity at the event level as well as the identification of erosive rainfall distribution patterns within the events. Our assessment approach allows the definition of both typical and extreme erosivity. Long-term and high temporal resolution rainfall datasets were used to apply a clustering approach, seasonal and spatial analyses, and rainfall distributions assessment (isopleths) of the identified rainfall types (clusters). New hydrological insights for the region: Three dominant erosive event-types (clusters) were identified that strongly relate with Austria’s seasonality and complex topography. The most erosive rainfall events (cluster C1) are characterized by a high intensity and short duration. C1 events have the largest occurrence frequency in pre-alpine southern Austria and occur from May to September. Unlike the less erosive and more evenly distributed event types (C2 and C3) the highly erosive C1 events have a pronounced maximum rainfall intensity at the onset of the event.http://www.sciencedirect.com/science/article/pii/S2214581824001186Rainfall erosivitySpatiotemporal erosivityAgricultural areasErosive rainfall patternsClustering analysis |
| spellingShingle | Cristina Vásquez Andreas Klik Christine Stumpp Gregor Laaha Peter Strauss Nur Banu Özcelik Georg Pistotnik Shuiqing Yin Tomas Dostal Gabriel Gaona Stefan Strohmeier Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns Journal of Hydrology: Regional Studies Rainfall erosivity Spatiotemporal erosivity Agricultural areas Erosive rainfall patterns Clustering analysis |
| title | Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns |
| title_full | Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns |
| title_fullStr | Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns |
| title_full_unstemmed | Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns |
| title_short | Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns |
| title_sort | rainfall erosivity across austria s main agricultural areas identification of rainfall characteristics and spatiotemporal patterns |
| topic | Rainfall erosivity Spatiotemporal erosivity Agricultural areas Erosive rainfall patterns Clustering analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2214581824001186 |
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