TY - GEN A1 - Blume, Theresa A1 - Zehe, Erwin A1 - Bronstert, Axel T1 - Use of soil moisture dynamics and patterns at different spatio-temporal scales for the investigation of subsurface flow processes N2 - Spatial patterns as well as temporal dynamics of soil moisture have a major influence on runoff generation. The investigation of these dynamics and patterns can thus yield valuable information on hydrological processes, especially in data scarce or previously ungauged catchments. The combination of spatially scarce but temporally high resolution soil moisture profiles with episodic and thus temporally scarce moisture profiles at additional locations provides information on spatial as well as temporal patterns of soil moisture at the hillslope transect scale. This approach is better suited to difficult terrain (dense forest, steep slopes) than geophysical techniques and at the same time less cost-intensive than a high resolution grid of continuously measuring sensors. Rainfall simulation experiments with dye tracers while continuously monitoring soil moisture response allows for visualization of flow processes in the unsaturated zone at these locations. Data was analyzed at different spacio-temporal scales using various graphical methods, such as space-time colour maps (for the event and plot scale) and binary indicator maps (for the long-term and hillslope scale). Annual dynamics of soil moisture and decimeterscale variability were also investigated. The proposed approach proved to be successful in the investigation of flow processes in the unsaturated zone and showed the importance of preferential flow in the Malalcahuello Catchment, a datascarce catchment in the Andes of Southern Chile. Fast response times of stream flow indicate that preferential flow observed at the plot scale might also be of importance at the hillslope or catchment scale. Flow patterns were highly variable in space but persistent in time. The most likely explanation for preferential flow in this catchment is a combination of hydrophobicity, small scale heterogeneity in rainfall due to redistribution in the canopy and strong gradients in unsaturated conductivities leading to self-reinforcing flow paths. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - paper 125 KW - Repellent sandy soil KW - Poorly gauged catchment KW - Volcanic ash soils KW - Water repellency KW - Preferential flow Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-44924 ER - TY - JOUR A1 - Ghasemizade, Mehdi A1 - Baroni, Gabriele A1 - Abbaspour, Karim A1 - Schirmer, Mario T1 - Combined analysis of time-varying sensitivity and identifiability indices to diagnose the response of a complex environmental model JF - Environmental modelling & software with environment data news N2 - Sensitivity and identifiability analyses are common diagnostic tools to address over-parametrization in complex environmental models, but a combined application of the two analyses is rarely conducted. In this study, we performed a temporal global sensitivity analysis using the variance-based method of Sobol’ and a temporal identifiability analysis of model parameters using the dynamic identifiability method (DYNIA). We discuss the relationship between the two analyses with a focus on parameter identification and output uncertainty reduction. The hydrological model HydroGeoSphere was used to simulate daily evapotranspiration, water content, and seepage at the lysimeter scale. We found that identifiability of a parameter does not necessarily reduce output uncertainty. It was also found that the information from the main and total effects (main Sobol' sensitivity indices) is required to allow uncertainty reduction in the model output. Overall, the study highlights the role of combined temporal diagnostic tools for improving our understanding of model behavior. KW - Temporal sensitivity KW - Identifiability KW - Preferential flow KW - HydroGeoSphere KW - Output uncertainty Y1 - 2016 U6 - https://doi.org/10.1016/j.envsoft.2016.10.011 SN - 1364-8152 SN - 1873-6726 VL - 88 SP - 22 EP - 34 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Klaus, Julian A1 - Zehe, Erwin A1 - Elsner, Martin A1 - Palm, Juliane A1 - Schneider, Dorothee A1 - Schroeder, Boris A1 - Steinbeiss, Sibylle A1 - van Schaik, Loes A1 - West, Stephanie T1 - Controls of event-based pesticide leaching in natural soils: A systematic study based on replicated field scale irrigation experiments JF - Journal of hydrology N2 - Tile drains strongly influence the water cycle in agricultural catchment in terms of water quantity and quality. The connectivity of preferential flow to tile drains can create shortcuts for rapid transport of solutes into surface waters. The leaching of pesticides can be linked to a set of main factors including, rainfall characteristics, soil moisture, chemical properties of the pesticides, soil properties, and preferential flow paths. The connectivity of the macropore system to the tile drain is crucial for pesticide leaching. Concurring influences of the main factors, threshold responses and the role of flow paths are still poorly understood. The objective of this study is to investigate these influences by a replica series of three irrigation experiments on a tile drain field site using natural and artificial tracers together with applied pesticides. We found a clear threshold behavior in the initialization of pesticide transport that was different between the replica experiments. Pre-event soil water contributed significantly to the tile drain flow, and creates a flow path for stored pesticides from the soil matrix to the tile drain. This threshold is controlled by antecedent soil moisture and precipitation characteristics, and the interaction between the soil matrix and preferential flow system. Fast transport of pesticides without retardation and the remobilization could be attributed to this threshold and the interaction between the soil matrix and the preferential flow system. Thus, understanding of the detailed preferential flow processes clearly enhances the understanding of pesticide leaching on event and long term scale, and can further improve risk assessment and modeling approaches. (C) 2014 Elsevier B.V. All rights reserved. KW - Irrigation experiment KW - Preferential flow KW - Threshold KW - Pesticide transport Y1 - 2014 U6 - https://doi.org/10.1016/j.jhydrol.2014.03.020 SN - 0022-1694 SN - 1879-2707 VL - 512 SP - 528 EP - 539 PB - Elsevier CY - Amsterdam ER -