@inproceedings{BartlBiemeltBadorrecketal., author = {Bartl, Steffen and Biemelt, Detlef and Badorreck, Annika and Gerke, Horst H.}, title = {Observations of flow path interactions with surface structures during initial soil development stage using irrigation experiments}, language = {en} } @inproceedings{BartlBiemeltBadorrecketal., author = {Bartl, Steffen and Biemelt, Detlef and Badorreck, Annika and Gerke, Horst H.}, title = {Observations of flow path interactions with surface structures during initial soil development stage using irrigation experiments}, series = {Structures and processes of the initial ecosystem development, 1st International Conference associated with 4th Meeting of Young Researchers in Earth Sciences (MYRES), 20-24 September 2010, Cottbus, Germany, proceedings}, booktitle = {Structures and processes of the initial ecosystem development, 1st International Conference associated with 4th Meeting of Young Researchers in Earth Sciences (MYRES), 20-24 September 2010, Cottbus, Germany, proceedings}, publisher = {BTU}, address = {Cottbus}, pages = {S. 13}, language = {en} } @misc{NgoGerkeBadorreck, author = {Ngo, Viet V. and Gerke, Horst H. and Badorreck, Annika}, title = {Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment}, series = {Transport in Porous Media}, volume = {103}, journal = {Transport in Porous Media}, number = {3}, doi = {10.1007/s11242-014-0315-6}, pages = {535 -- 562}, abstract = {To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten-Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values.Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters α, Ks, θs, and n in the nonhysteretic model were found sensitive and parameter θs strongly correlated with parameter n. When assuming hysteresis, the estimability was decreased with soil depth for Ks and αd , and increased for θs and n. Among the shape parameters, αw was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters.}, language = {en} } @misc{MoghadasBadorreck, author = {Moghadas, Davood and Badorreck, Annika}, title = {Machine learning to estimate soil moisture from geophysical measurements of electrical conductivity}, series = {Near Surface Geophysics}, volume = {17}, journal = {Near Surface Geophysics}, number = {2}, issn = {1569-4445}, doi = {10.1002/nsg.12036}, pages = {181 -- 195}, abstract = {Soil water content (θ) is a key variable in different earth science disciplines since it mediates the water and energy exchange between the surface and atmosphere. Electrical and electromagnetic geophysical techniques have been widely used to estimate soil electrical conductivity (σ) and soil moisture. However, obtaining the σ - θ relationship is not straightforward due to the non-linearity and also dependency on many different soil and environmental properties. The purpose of this paper is to determine if artificial neural network is an appropriate machine learning technique for relating electrical conductivity to soil water content. In this respect, time-lapse electrical resistivity tomography measurements were carried out along a transect in the Chicken Creek catchment (Brandenburg, Germany). To ensure proper retrieval of the σ and θ, reference values were measured near the beginning of the transect via an excavated pit using 5TE capacitance sensors installed at different depths. We explored robustness and pertinence of the artificial neural network approach in comparison with Rhoades model (as a commonly used petrophysical relationship) to convert the inversely estimated σ from electrical resistivity tomography to the θ. The proposed approach was successfully validated and benchmarked by comparing the estimated values with the reference data. This study showed the superiority of the artificial neural network approach to the Rhoades model to obtain σ - θ relationship. In particular, artificial neural network allowed for more accurate estimation of the temporal wetting front than the petrophysical model. The proposed methodology thus offers a great promise for deriving spatiotemporal soil moisture patterns from geophysical data and obtaining the in situ σ - θ relationship, taking into account the non-linear variations of the soil moisture.}, language = {en} } @misc{Badorreck, author = {Badorreck, Annika}, title = {15 years ecohydrological long-term monitoring of the artificial catchment Chicken Creek - A brief summary}, series = {CATENA}, volume = {249}, journal = {CATENA}, number = {Februar 2025}, publisher = {Elsevier BV}, issn = {0341-8162}, doi = {10.1016/j.catena.2024.108663}, abstract = {Ecosystems exhibit a highly complex nature and have been dynamically changing by linked abiotic and biotic factors such as climate, vegetation and soil fauna. Owning to the actions and feedbacks of these factors, ecosystems show an inherent degree of locally heterogeneous properties and structures at multiple spatial and time scales. Here, the artificial catchment "Chicken Creek" represents a unique and outstanding site to study an ecosystem at the initial stage of development. The hydrologic catchment is located about 20 km south of the city Cottbus (Germany). The approximately 6-ha catchment area was built in 2005 of coarse-textured quaternary sediments from the adjacent brown coal mine and forms a back- and foot-slope that flattens out to a pond. A clay liner of 2-3 m thickness seals the catchment at the bottom, which allows the formation of a local water body fed only by precipitation. After construction the site was left to an unrestricted and unmanaged succession. To track the several ecosystem processes and newly emerging structures the Chicken Creek catchment is equipped with a comprehensive ecological monitoring network. A network of more than 40 wells and two weirs recording the groundwater levels, flows of water and elements. Three weather stations observing meteorological parameters. Annual aerial pictures and vegetation monitoring revealing the floral colonisation of the area. This contribution describes the diverse and extensive working program as well as presents highlights of 15 years ecological monitoring in the catchment area.}, language = {en} } @incollection{GerkeGruenewaldBiemeltetal., author = {Gerke, Horst H. and Gr{\"u}newald, Uwe and Biemelt, Detlef and Badorreck, Annika and Bartl, Steffen}, title = {Project A4 - Development and interactions of flow paths on the surface and in the soil}, series = {Structures and processes of the initial ecosystem development phase in an artificial water catchment (Final report CRC/TR 38)}, booktitle = {Structures and processes of the initial ecosystem development phase in an artificial water catchment (Final report CRC/TR 38)}, editor = {H{\"u}ttl, Reinhard F. and K{\"o}gel-Knabner, Ingrid and Schulin, Rainer and Gerwin, Werner}, publisher = {BTU, Forschungszentrum Landschaftsentwicklung und Bergbaulandschaften (FZLB)}, address = {Cottbus}, pages = {37 -- 44}, language = {en} } @inproceedings{BadorreckGerkeVontobel, author = {Badorreck, Annika and Gerke, Horst H. and Vontobel, Peter}, title = {Neutronenradiographische Untersuchungen der kleinr{\"a}umig heterogenen Wasserbewegung in kohlehaltigen B{\"o}den}, series = {B{\"o}den - eine endliche Ressource, 5. - 13. September 2009, Bonn, Jahrestagung der Deutschen Bodenkundlichen Gesellschaft}, booktitle = {B{\"o}den - eine endliche Ressource, 5. - 13. September 2009, Bonn, Jahrestagung der Deutschen Bodenkundlichen Gesellschaft}, publisher = {Deutsche Bodenkundliche Gesellschaft (Selbstverlag)}, address = {Bonn}, language = {de} } @inproceedings{BadorreckGerkeWelleretal., author = {Badorreck, Annika and Gerke, Horst H. and Weller, Ulrich and Vontobel, Peter}, title = {Soil sealing and vesicular layer formation as initial structure development and its effect on infiltration}, series = {EGU General Assembly 2009, Vienna, Austria, 19 - 24 April 2009}, booktitle = {EGU General Assembly 2009, Vienna, Austria, 19 - 24 April 2009}, publisher = {European Geophysical Society}, address = {Katlenburg-Lindau}, language = {en} } @inproceedings{BadorreckGerkeVontobel, author = {Badorreck, Annika and Gerke, Horst H. and Vontobel, Peter}, title = {Unsaturated flow patterns observed in mine soils with embedded porous fragments using neutron radiography}, series = {EGU General Assembly 2009, Vienna, Austria, 19 - 24 April 2009}, booktitle = {EGU General Assembly 2009, Vienna, Austria, 19 - 24 April 2009}, publisher = {European Geophysical Society}, address = {Katlenburg-Lindau}, language = {en} } @inproceedings{BadorreckGerke, author = {Badorreck, Annika and Gerke, Horst H.}, title = {Initial soil and ecosystem development in an artificial catchment: Visualization of soil structure and water flow}, series = {9th International Symposium on Ecosystem Behavior BIOGEOMON, Litomysl, Czech Republic, August 20-24, 2017}, booktitle = {9th International Symposium on Ecosystem Behavior BIOGEOMON, Litomysl, Czech Republic, August 20-24, 2017}, editor = {Nov{\´a}k, Martin and Kr{\´a}m, Pavel and Step{\´a}nov{\´a}, Mark{\´e}ta}, publisher = {Czech Geological Survey}, address = {Prague}, pages = {S. 355}, abstract = {An artificial catchment was constructed to study initial soil and ecosystem development. Our research site is the hydrologic catchment area "Chicken Creek", 20 km south of the city Cottbus (Germany), which is left to undirected succession. The approximately 6-ha catchment area was built in 2005 of coarse-textured quaternary sediments and forms a back- and foot-slope that flattens out to a pond. A clay liner, 2-3 m in thickness, seals the catchment at the bottom. The initial "soil" layer consists of sandy quaternary sediments, approximately 2-3 m in thickness, that overlay the clay liner. The sediments of the artificial system are in the very initial stage of soil formation. As a key process, the pore structure dynamics in the soil at the surface strongly influences erosion, infiltration, matter dynamics, and vegetation establishment. Little is known, however, about early macropore formation. This presentation focuses on observations of the general development of the catchment, with emphasis on soil structure modifications, such as soil surface crusts, structure formation from ground beetles, moss vegetation and its effect on water flow. We visualized the soil structure and flow patterns using a combination of neutron radiography, neutron tomography (NT) and X-ray computed tomography (CT) experiments. All techniques were used to describe preferential pathways as a soil structure with CT and the process of preferential flow of water with NT. For the first time, neutron radiation was applied on undisturbed soil cores to visualize water distributions in natural soils on three examples containing heterogeneities of different origin. Our observations demonstrate relatively high abiotic and biotic dynamics of soil pore structure in the soil surface even during the very early development stages of the catchment. The structure formation influences runoff and infiltration by forming sealing layers or preferential flow paths, due to biotic activity.}, language = {en} } @inproceedings{BadorreckKruemmelbeinRaab, author = {Badorreck, Annika and Kr{\"u}mmelbein, Julia and Raab, Thomas}, title = {Long-term effects of deep soil loosening on root distribution and soil physical parameters in compacted lignite mine soils}, series = {European Geosciences Union, General Assembly 2015, Vienna, Austria, 13 April - 17 May 2015}, booktitle = {European Geosciences Union, General Assembly 2015, Vienna, Austria, 13 April - 17 May 2015}, publisher = {European Geophysical Society}, address = {Katlenburg-Lindau}, language = {en} } @inproceedings{BiemeltBartlGerkeetal., author = {Biemelt, Detlef and Bartl, Steffen and Gerke, Horst H. and Badorreck, Annika and Schapp, Andrea}, title = {Analyse von Wechselwirkungen zwischen Infiltration und Abfluss in Abh{\"a}ngigkeit von Oberfl{\"a}chenstrukturen mit einem komplexen Beregnungsexperiment}, series = {B{\"o}den - eine endliche Ressource, 5. - 13. September 2009, Bonn, Jahrestagung der Deutschen Bodenkundlichen Gesellschaft}, booktitle = {B{\"o}den - eine endliche Ressource, 5. - 13. September 2009, Bonn, Jahrestagung der Deutschen Bodenkundlichen Gesellschaft}, publisher = {Deutsche Bodenkundliche Gesellschaft (Selbstverlag)}, address = {Bonn}, language = {de} } @misc{MoghadasBadorreck, author = {Moghadas, Davood and Badorreck, Annika}, title = {Soil Moisture Patterns in an artificial water catchment - A machine learning approach from geophysical measurements}, series = {EGU General Assembly 2020, Online, 4-8 May 2020}, journal = {EGU General Assembly 2020, Online, 4-8 May 2020}, doi = {10.5194/egusphere-egu2020-2652}, language = {en} }