geosciences Article Mud Flow Reconstruction by Means of Physical Erosion Modeling, High-Resolution Radar-Based Precipitation Data, and UAV Monitoring Phoebe Hänsel 1,*, Andreas Kaiser 2, Arno Buchholz 1, Falk Böttcher 3, Stefan Langel 1, Jürgen Schmidt 1 and Marcus Schindewolf 4 1 Soil and Water Conservation Unit, Technical University Bergakademie Freiberg, Agricolastraße 22, 09599 Freiberg, Germany;
[email protected] (A.B.);
[email protected] (S.L.);
[email protected] (J.S.) 2 Geocoptix, Max-Planck-Straße 6, 54296 Trier, Germany;
[email protected] 3 Deutscher Wetterdienst, Abteilung Agrarmeteorologie, Kärrnerstraße 68, 04288 Leipzig, Germany;
[email protected] 4 Thüringer Landesanstalt für Landwirtschaft, Referat 420 Acker- und Pflanzenbau, Naumburger Straße 98, 07743 Jena, Germany;
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[email protected]; Tel.: +49-371-39-2679 Received: 31 July 2018; Accepted: 14 November 2018; Published: 21 November 2018 Abstract: Storm events and accompanying heavy rain endanger the silty soils of the fertile and intensively-used agricultural landscape of the Saxon loess province in the European loess belt. In late spring 2016, persistent weather conditions with repeated and numerous storm events triggered flash floods, landslides, and mud flows, and caused severe devastation to infrastructure and settlements throughout Germany. In Saxony, the rail service between Germany and the Czech Republic was disrupted twice because of two mud flows within eight days. This interdisciplinary study aims to reconstruct the two mud flows by means of high-resolution physical erosion modeling, high-resolution, radar-based precipitation data, and Unmanned Aerial Vehicle monitoring. Therefore, high-resolution, radar-based precipitation data products are used to assess the two storm events which triggered the mud flows in this unmonitored area.