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Research project (§ 26 & § 27)
Duration : 2021-11-01 - 2024-10-31

The objectives of this project are 1) to determine the main erosion driving rainfall characteristics and their seasonal varia-bility, 2) to determine occurrence probability of extreme erosion events; and 3) to link precipitation, modeled erosion and damage reports with each other to allow better warnings. Field measurements of rainfall kinetic energy will be combined with soil erosion modelling for agriculturally used areas in Austria to derive range and frequency of erosion inducing rain-fall events and related soil losses. Obtained results will be validated by using damage reports of fire brigade interventions.
Research project (§ 26 & § 27)
Duration : 2021-10-01 - 2025-09-30

Wider research context: The rainfall-runoff process is of high interest in catchment hydrology as it directly impacts the quantity and quality of available freshwater. It is influenced by a complex interplay of hydrometeorological variables and catchment properties that complicates the isolation of the effect of individual variables. This calls for new conceptual frameworks that advance our understanding of hydrological processes at the catchment scale. Objectives: The main aim is to better characterize the influence of hydrometeorological variables on runoff generation and catchment-wide water transport by utilizing naturally reoccurring patterns in hydrological flux and state variables as repeated experiments. Approach: First we will define hydrologically similar rainfall and catchment wetness (soil water content and groundwater) patterns by a data-driven and a modeling approach. Rainfall and catchment wetness will be defined as hydrologically similar if their respective runoff reactions are similar as measured by objective functions. Second, water transit time measures (transit time distribution (TTD), fraction of young water (Fyw)) will be defined as similar if a) for TTD their respective simulated isotope tracer in runoff or b) for Fyw the sine waves fitted to the isotope tracer in runoff are similar. Once identified, the hydrologically similar patterns will be searched in real-world data of three study catchments (forest, grassland, agriculture) and the respective runoff reactions will be analyzed. A similarity in the runoff reaction indicates repeatability of rainfall-runoff processes under similar conditions (repeatable experiment) while different runoff responses for similar patterns will be explained by hydrometeorological variables to characterize their influence on the rainfall-runoff process. Additional hydrological modeling will give further insights into catchment-internal reasons for similar or different runoff reactions and enables generalization of results for other catchments Innovation: Repeated catchment experiments in the field are currently impossible due to financial, administrative, and technological constraints. This study circumvents the problem by utilizing naturally reoccurring patterns in hydrologic time series and uses them as repeated experiments to advance our understanding of the rainfall-runoff process. The main outcome of this project will be an advanced understanding of the influence of hydrometeorological variables on the runoff process which can be further used to investigate the rainfall-runoff processes of other catchments. The proposed method can be transferred to other catchments in different climatic regions, has the potential to estimate transit times without long tracer time series and can be used to design measurement networks. Primary researchers involved: Dr. Michael Stockinger, Univ.-Prof. Dr. Christine Stumpp
Research project (§ 26 & § 27)
Duration : 2021-07-01 - 2025-06-30

TUdi offers an end-user directed approach for capitalization of technologies for improving soil health, improved fertilization practices and quality food production systems in major crops and different farming types across EU, China and New Zealand. • aggregated sources of successful cases of soil restoring and improved fertilization practices across long term experiments and commercial farms, exploiting them using an open science approach for the benefit of the society • end-user driven. It creates a stakeholders community, from end-users to policy makers, which is the core of the project, deciding the direction of solutions to develop and validate. • develop and validate solutions for improving soil health and fertilization practices at farm level including cost-benefit appraisal. • allows a broad dissemination of soil healing practices in different farming types thanks to a broad range of supporting material including decision support systems and digital applications. • tests a comprehensive indicator of soil health in line with the needs of the EC mission on “Soil health and food”. • validates digital applications for quality crop production related to soil and fertilizer compatible with the Farm Sustainability Tool promoted by the EC.

Supervised Theses and Dissertations