TY - CHAP A1 - Takla, Melanie A1 - Raab, Thomas A1 - Raab, Alexandra ED - Raab, Thomas ED - Hirsch, Florian ED - Raab, Alexandra ED - Schopper, Franz ED - Freytag, Klaus T1 - Standort 4 - Eisenhüttenwerk Peitz. Die frühindustrielle Köhlerei in der Jänschwalder Heide (Niederlausitz). Eine GIS-basierte Rekonstruktion des Wald- und Landschaftszustandes mithilfe historischer Karten ab dem 18. Jahrhundert T2 - Tagungsband und Exkursionsführer, Arbeitskreis Geoarchäologie- Jahrestagung 2013, 2.-4.5.2013, BTU Cottbus N2 - Die hier vorgestellte Forschungsarbeit beschäftigt sich mit der Rekonstruktion der Landschafts- und Umweltgeschichte mithilfe Geographischer Informationssysteme (GIS) und historischer Karten. In einem Modell sollen die räumliche Dimension der Köhlerei, der damit verbundene Holzverbrauch, der Zustand der Wälder, die vorhandene Infrastruktur etc. errechnet und dargestellt werden. Zeitlicher Schwerpunkt ist die zweite Hälfte des 18. Jahrhunderts und die Mitte des 19. Jahrhunderts. Y1 - 2013 UR - https://opus4.kobv.de/opus4-btu/files/4061/GeoRS+Vol.2pdf_a.pdf SP - 89 EP - 97 PB - BTU Cottbus CY - Cottbus ER - TY - CHAP A1 - Hirsch, Florian A1 - Schneider, Anna A1 - Raab, Alexandra A1 - Raab, Thomas A1 - Buras, Allan A1 - Maaten, Ernst van der A1 - Takla, Melanie A1 - Räbiger, Christin A1 - Cruz-García, Roberto A1 - Wilmking, Martin T1 - Effects of historic charcoal burning on soil properties T2 - European Geosciences Union, General Assembly 2015, Vienna, Austria, 13 April - 17 May 2015 KW - historic charcoal burning Y1 - 2015 UR - http://meetingorganizer.copernicus.org/EGU2015/EGU2015-3574-2.pdf N1 - EGU2015-3574-2 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Schneider, Anna A1 - Takla, Melanie A1 - Raab, Alexandra A1 - Raab, Thomas A1 - Bonhage, Alexander A1 - Hirsch, Florian A1 - Rösler, Horst T1 - Towards an inventory of historic charcoal production fields in Brandenburg, Germany T2 - European Geosciences Union, General Assembly 2015, Vienna, Austria, 13 April - 17 May 2015 KW - historic charcoal production Y1 - 2015 UR - http://meetingorganizer.copernicus.org/EGU2015/EGU2015-3949.pdf N1 - EGU2015-3949 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Hirsch, Florian A1 - Schneider, Anna A1 - Nicolay, Alexander A1 - Błaszkiewicz, Mirosław A1 - Kordowski, Jarosław A1 - Noryskiewicz, Agnieszka M. A1 - Tyszkowski, Sebastian A1 - Raab, Alexandra A1 - Raab, Thomas T1 - Late Quaternary landscape development at the margin of the Pomeranian phase (MIS 2) near Lake Wygonin (Northern Poland) T2 - European Geosciences Union, General Assembly 2015, Vienna, Austria, 13 April - 17 May 2015 KW - late quaternary landscape development Y1 - 2015 UR - http://meetingorganizer.copernicus.org/EGU2015/EGU2015-3547-1.pdf N1 - EGU2015-3547-1 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Pohle, Ina A1 - Hu, Yuzhu A1 - Schaaf, Wolfgang A1 - Gerwin, Werner A1 - Maurer, Thomas A1 - Hinz, Christoph T1 - Hydrogeochemische Signaturen der Einzugsgebietsentwicklung – die Rolle der Calcium- und Sulfatfreisetzung im Hühnerwassereinzugsgebiet T2 - Abstract-Sammlung zu Posterbeiträgen, eingereicht zum Tag der Hydrologie in Trier 2017, 23. 03. – 24. 03. 2017 Y1 - 2017 UR - https://www.uni-trier.de/fileadmin/fb6/prof/PHY/PDF-Dateien/TdH2017_4Abstracts_Poster.pdf SP - S. 5 ER - TY - CHAP A1 - Badorreck, Annika A1 - Gerke, Horst H. ED - Novák, Martin ED - Krám, Pavel ED - Stepánová, Markéta T1 - Initial soil and ecosystem development in an artificial catchment: Visualization of soil structure and water flow T2 - 9th International Symposium on Ecosystem Behavior BIOGEOMON, Litomysl, Czech Republic, August 20-24, 2017 N2 - 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. Y1 - 2017 UR - http://www.biogeomon.cz/documents/Abstracts.pdf SP - S. 355 PB - Czech Geological Survey CY - Prague ER - TY - CHAP A1 - Moghadas, Davood A1 - Vrugt, Jasper A. T1 - Non-invasive characterization of soil conductivity structure using probabilistic inversion and dimensionality reduction approach T2 - European Geosciences Union, General Assembly 2018, Vienna, Austria N2 - Low frequency loop-loop electromagnetic induction (EMI) is widely used for monitoring soil electrical conductivity and water content. As a non-invasive geophysical technique, EMI allows for rapid and real-time electrical conductivity measurements. However, EMI has not yet been used much to back out the vertical (depth profile) conductivity structure due to problems with the inversion of measured apparent electrical conductivity (ECa) data. In this study, we used Bayesian inference with the MT-DREAM(ZS) algorithm to infer the electrical conductivity layering of the subsurface from EMI data.We test and evaluate our methodology using apparent electrical conductivity data measured along two transects in the Hühnerwasser catchment in Lusatia, Germany. These measurements were made using CMD-Explorer, a multi-configuration sensor with three inter-coil spacings and two antenna orientations. Three offsets and two antenna modes lead to six measurement depths. Electrical Resistivity Tomography (ERT) measurements were also carried out to provide reference conductivity values and to calibrate the EMI data. Such calibration is necessary for quantitative interpretation of the ECa values and to enable multi-layered inversion. The Discrete Cosine Transform (DCT) was used to reduce the number of unknown parameters, and different likelihood functions were used to evaluate the sensitivity of the posterior parameter distribution to residual assumptions. DCT-based inversion equates to a quasi-two-dimensional framework which incorporates all data along the profile and results in a low-dimensional over-determined optimization problem. Results demonstrated that although appropriate selection of the low frequency DCT coefficients is important, the definition of the likelihood function plays a crucial role in the estimation of parameter and predictive uncertainty. The use of a Gaussian likelihood function introduces artifacts in DCT-based inversion of EMI data. The use of a more flexible likelihood function results in more accurate results of the DCT-inversion. Integration of the DCT with the MT-DREAM(ZS) algorithm and a flexible generalized likelihood function appears promising for the inversion of low frequency loop-loop EMI data. The proposed approach promises accurate and high resolution estimation of subsurface hydrogeophysical properties from EMI data. Y1 - 2018 UR - https://meetingorganizer.copernicus.org/EGU2018/EGU2018-1445.pdf N1 - EGU2018-1445 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Raab, Alexandra A1 - Raab, Thomas A1 - Schneider, Anna A1 - Hirsch, Florian A1 - Takla, Melanie A1 - Nicolay, Alexander A1 - Bonhage, Alexander A1 - Müller, Frank A1 - Heußner, Karl-Uwe A1 - Rösler, Horst T1 - Reconstructing anthropogenic landscape transformation in the surroundings of the ironwork Peitz (SE Brandenburg, Germany) - 16th to mid-19th centuries T2 - 4th International Landscape Archaeology Conference, Uppsala, 22nd - 25th August 2016 N2 - Various sources provide information about land use history and landscape transformation. For a variety of reasons, the quality of information differs and is often discontinuous or incomplete. In this interdisciplinary study we take advantage of comprehensive archaeological data gathered by large-scale excavations that were necessary because of opencast lignite mining in Lusatia, Brandenburg, Germany. By using a GIS we integrate these archaeological findings with results from archival and literature studies, from historical maps, from landforms and soils as well as from analyses of shaded-relief maps derived from up-to-date LiDAR data. The long-term aim is to develop a palaeoenvironmental model and thus to reconstruct landscape changes caused by human activities. The focus of the study is the Peitz ironwork in SE Brandenburg, which was a large consumer of commodities for about 300 years. During the time it operated, extensive transformations are supposed to have affected the landscape in the vicinity because of wood consumption and especially charcoal production. Digital datasets about forested areas for different timespans reconstructed from historical maps were made available. In combination with dendrochronological dating of charred trees, the spatiotemporal dimension of charcoal kilns was determined. Also, sites of former bog iron ore mining could be identified. Moreover, the different sources contain further information about other forms of land uses such as agriculture, pastoralism and even viticulture. In conclusion we can highlight that the mosaic of past land use systems is different from the modern structure but that major changes in the forests have been retained. Y1 - 2016 UR - http://www.arkeologi.uu.se/digitalAssets/447/c_447246-l_1-k_20160816_lac_booklet.pdf SP - S. 152 PB - Department of archaeology and ancient history, Uppsala university, CY - Uppsala ER - TY - CHAP A1 - Nasuti, Aziz A1 - Nasuti, Yasin A1 - Moghadas, Davood T1 - Enhancing Potential Field Data Using TDY Filter T2 - Near Surface Geoscience Conference & Exhibition, 9-12 September 2018, Porto, Portugal N2 - Potential field methods produce anomaly maps with different magnitudes and depths that are typically contaminated by noise, making them hard to interpret. In order to highlight edges of the anomalies with different depths and magnitudes, data filtering techniques have received a great attention, in particular for mineral explorations. Filtering approaches render to explore more details from potential field data maps. In this respect, high pass filters are commonly used for enhancing the anomaly edges all of which utilize gradients of the potential field. In order to apply different filters on the potential field data, major attempts have been made to make a balance between noise and the signal obtained from a filtered image (Cooper & Cowan, 2006). Y1 - 2018 UR - https://www.researchgate.net/publication/327646691_ ER - TY - CHAP A1 - Moghadas, Davood T1 - High-Resolution Soil Electrical Conductivity Imaging from EMI D Based Probabilistic Inversion T2 - 24th European Meeting of Environmental and Engineering Geophysics, 9-13 September Porto, Portugal N2 - Electromagnetic induction (EMI) sensors allow for non-invasive soil characterizations. Proximal soil sensing using EMI hindered due to the problems related to the inversion of apparent electrical conductivity (ECa) data. In this study, I used Bayesian inference to obtain the electrical conductivity layering of the subsurface from multi-configuration EMI data. In this respect, generalized formal likelihood function was used to more accurately describe the sensitivity of the posterior parameter distribution to residual assumptions. Discrete Cosine Transform (DCT) was employed as a model compression technique to reduce the number of unknown parameters in the inversion. I considered apparent electrical conductivity pseudosection as a training image (TI) in multiple-point statistical simulations. Information from TI realizations were utilized to determine dominant DCT coefficients, as well as prior probability density functions for the subsequent probabilistic inversions. The potentiality of the proposed approach was examined through an experimental scenario. The results demonstrated that this methodology allows for soil electrical conductivity imaging with high resolution. This strategy permits to incorporate summary metrics from ensemble of ECa pseudosection realizations in the inversion without resorting to any complimentary source of information. The proposed approach ensures accurate and high resolution characterization of soil conductivity layering from measured ECa values. Y1 - 2018 UR - http://www.earthdoc.org/publication/publicationdetails/?publication=94372 ER -