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Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns

  • Cristina Vásquez
  • , Andreas Klik
  • , Christine Stumpp
  • , Gregor Laaha
  • , Peter Strauss
  • , Nur Banu Özcelik
  • , Georg Pistotnik
  • , Shuiqing Yin
  • , Tomas Dostal
  • , Gabriel Gaona
  • , Stefan Strohmeier
  • University of Natural Resources and Life Sciences, Vienna
  • Federal Agency for Water Management Institute for Land and Water Management Research
  • Zentralanstalt für Meteorologie und Geodynamik
  • Beijing Normal University
  • Czech Technical University in Prague

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish
Article number101770
JournalJournal of Hydrology: Regional Studies
Volume53
DOIs
StatePublished - Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Agricultural areas
  • Clustering analysis
  • Erosive rainfall patterns
  • Rainfall erosivity
  • Spatiotemporal erosivity

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