TY - GEN A1 - Herrmann, Frank A1 - Jahnke, Christoph A1 - Jenn, Florian A1 - Kunkel, Ralf A1 - Voigt, Hans-Jürgen A1 - Voigt, Jens A1 - Wendland, Frank T1 - Groundwater recharge rates for regional groundwater modelling: a case study using GROWA in the Lower Rhine lignite mining area, Germany N2 - Abstract: Groundwater recharge rates calculated with the GROWA model have been applied as the recharge boundary condition for the regional groundwater model Rurscholle. This model simulates groundwater dynamics in the Pleistocene aquifers of the Lower Rhine lignite mining area (Germany). GROWA uses an area-differentiated approach to calculate recharge rates depending on runoff-relevant site characteristics, which are represented by a set of baseflow indices. The regional accuracy of the coupled groundwater and GROWA models has been checked using groundwater hydrographs as validation criteria. The results suggest that the current (unadjusted) version of GROWA underestimates the regional groundwater recharge rate by 10-20 mm/yr. The comparative analysis identified areas where recharge calculations could be improved by adjusting the baseflow indices for areas where runoff is dominated by slope, low water-logging and a low degree of sealing. Using the adjusted set of baseflow indices, the mean groundwater recharge rate of the Rurscholle region was modelled as approx. 170 mm/yr. This study highlights the benefit of using a coupled approach and being able to independently calibrate and validate groundwater recharge boundary conditions in regional groundwater models. KW - GROWA KW - Groundwater recharge/water budget KW - Mining KW - Numerical modeling Y1 - 2009 ER - TY - GEN A1 - Wendland, Frank A1 - Berthold, Georg A1 - Fritsche, Johann-Gerhard A1 - Herrmann, Frank A1 - Kunkel, Ralf A1 - Voigt, Hans-Jürgen A1 - Vereecken, Harry T1 - A conceptual hydrogeological model for evaluating residence times in Hessen KW - Conceptual hydrogeological model KW - Residence times KW - EU-WFD KW - Large-scale model KW - Hessen Y1 - 2011 ER - TY - GEN A1 - Herrmann, Frank A1 - Keuler, Klaus A1 - Wolters, Tim A1 - Bergmann, Sabine A1 - Eisele, Michael A1 - Wendland, Frank T1 - Mit der Modellkette RCP-GCM-RCM-mGROWA projizierte Grundwasserneubildung als Datenbasis für zukünftiges Grundwassermanagement in Nordrhein-Westfalen T2 - Grundwasser N2 - Mit einem Multi-Modell-Ensemble wurde analysiert, wie sich der Klimawandel auf den Grundwasserhaushalt in Nordrhein-Westfalen (NRW) auswirkt. Hierzu wurden Projektionen der zukünftigen Grundwasserneubildung für insgesamt 36 Mitglieder der Modellkette RCP-GCM-RCM-mGROWA, bestehend aus 3 RCP-Szenarien zukünftiger globaler Erwärmung, 6 globalen und 5 dynamischen regionalen Klimamodellen sowie dem Wasserhaushaltsmodell mGROWA, vorgenommen. Mit dem Ensemble wurden für die hydrogeologischen Großräume NRWs nur teilweise signifikante Änderungen der jährlichen Grundwasserneubildung in den Perioden 2011–2040, 2041–2070 und 2071–2100 projiziert. Ein Robustheitstest mit zwei Kriterien (Übereinstimmung und Signifikanz der Änderungssignale) liefert keine belastbare Begründung dafür, dass sich die Grundwasserneubildung bis 2100 systematisch und signifikant ändern wird. Aus statistischer Perspektive wird deshalb die Schlussfolgerung gezogen, dass in NRW langfristig eine Grundwasserneubildung erwartet werden kann, die sich nicht grundlegend vom Niveau der Periode 1971–2000 unterscheidet. Hydro-meteorologisch befindet sich NRW in einer Übergangszone, in der eine Zunahme der Winterniederschläge die Wirkung der Erwärmung auf die Grundwasserneubildung wahrscheinlich kompensiert. KW - Grundwasserneubildung KW - Nordrhein-Westfalen KW - mGROWA KW - Klimawandel KW - Multi-Modell-Ensemble KW - Robustheit KW - Groundwater recharge KW - North Rhine-Westphalia KW - Climate change impact KW - Multi-model ensemble KW - Robustness Y1 - 2021 U6 - https://doi.org/10.1007/s00767-020-00471-x SN - 1430-483X SN - 1432-1165 VL - 26 IS - 1 SP - 17 EP - 31 ER - TY - THES A1 - Herrmann, Frank T1 - Entwicklung einer Methodik zur großräumigen Modellierung von Grundwasserdruckflächen am Beispiel der Grundwasserleiter des Bundeslandes Hessen KW - Grundwasserdruckfläche KW - Hessen Y1 - 2010 ER - TY - GEN A1 - Eisenhauer, Nico A1 - Frank, Karin A1 - Weigelt, Alexandra A1 - Bartkowski, Bartosz A1 - Beugnon, Rémy A1 - Liebal, Katja A1 - Mahecha, Miguel A1 - Quaas, Martin A1 - Al‐Halbouni, Djamil A1 - Bastos, Ana A1 - Bohn, Friedrich J. A1 - Brito, Mariana Madruga de A1 - Denzler, Joachim A1 - Feilhauer, Hannes A1 - Fischer, Rico A1 - Fritsche, Immo A1 - Guimaraes‐Steinicke, Claudia A1 - Hänsel, Martin A1 - Haun, Daniel B. M. A1 - Herrmann, Hartmut A1 - Huth, Andreas A1 - Kalesse‐Los, Heike A1 - Koetter, Michael A1 - Kolleck, Nina A1 - Krause, Melanie A1 - Kretschmer, Marlene A1 - Leitão, Pedro J. A1 - Masson, Torsten A1 - Mora, Karin A1 - Müller, Birgit A1 - Peng, Jian A1 - Pöhlker, Mira L. A1 - Ratzke, Leonie A1 - Reichstein, Markus A1 - Richter, Solveig A1 - Rüger, Nadja A1 - Sánchez‐Parra, Beatriz A1 - Shadaydeh, Maha A1 - Sippel, Sebastian A1 - Tegen, Ina A1 - Thrän, Daniela A1 - Umlauft, Josefine A1 - Wendisch, Manfred A1 - Wolf, Kevin A1 - Wirth, Christian A1 - Zacher, Hannes A1 - Zaehle, Sönke A1 - Quaas, Johannes T1 - A belowground perspective on the nexus between biodiversity change, climate change, and human well‐being T2 - Journal of Sustainable Agriculture and Environment N2 - Soil is central to the complex interplay among biodiversity, climate, and society. This paper examines the interconnectedness of soil biodiversity, climate change, and societal impacts, emphasizing the urgent need for integrated solutions. Human‐induced biodiversity loss and climate change intensify environmental degradation, threatening human well‐being. Soils, rich in biodiversity and vital for ecosystem function regulation, are highly vulnerable to these pressures, affecting nutrient cycling, soil fertility, and resilience. Soil also crucially regulates climate, influencing energy, water cycles, and carbon storage. Yet, climate change poses significant challenges to soil health and carbon dynamics, amplifying global warming. Integrated approaches are essential, including sustainable land management, policy interventions, technological innovations, and societal engagement. Practices like agroforestry and organic farming improve soil health and mitigate climate impacts. Effective policies and governance are crucial for promoting sustainable practices and soil conservation. Recent technologies aid in monitoring soil biodiversity and implementing sustainable land management. Societal engagement, through education and collective action, is vital for environmental stewardship. By prioritizing interdisciplinary research and addressing key frontiers, scientists can advance understanding of the soil biodiversity–climate change–society nexus, informing strategies for environmental sustainability and social equity. Y1 - 2024 U6 - https://doi.org/10.1002/sae2.12108 SN - 2767-035X VL - 3 IS - 2 PB - Wiley ER - TY - GEN A1 - Leithoff, Ruben A1 - Dilger, Nikolas A1 - Duckhorn, Frank A1 - Blume, Stefan A1 - Lembcke, Dario A1 - Tschöpe, Constanze A1 - Herrmann, Christoph A1 - Dröder, Klaus T1 - Inline monitoring of battery electrode lamination processes based on acoustic measurements T2 - Batteries N2 - Due to the energy transition and the growth of electromobility, the demand for lithium-ion batteries has increased in recent years. Great demands are being placed on the quality of battery cells and their electrochemical properties. Therefore, the understanding of interactions between products and processes and the implementation of quality management measures are essential factors that requires inline capable process monitoring. In battery cell lamination processes, a typical problem source of quality issues can be seen in missing or misaligned components (anodes, cathodes and separators). An automatic detection of missing or misaligned components, however, has not been established thus far. In this study, acoustic measurements to detect components in battery cell lamination were applied. Although the use of acoustic measurement methods for process monitoring has already proven its usefulness in various fields of application, it has not yet been applied to battery cell production. While laminating battery electrodes and separators, acoustic emissions were recorded. Signal analysis and machine learning techniques were used to acoustically distinguish the individual components that have been processed. This way, the detection of components with a balanced accuracy of up to 83% was possible, proving the feasibility of the concept as an inline capable monitoring system. Y1 - 2021 U6 - https://doi.org/10.3390/batteries7010019 SN - 2313-0105 VL - 7 IS - 1 SP - 1 EP - 21 PB - MDPI AG CY - Basel ER -