@misc{HerrmannJahnkeJennetal., author = {Herrmann, Frank and Jahnke, Christoph and Jenn, Florian and Kunkel, Ralf and Voigt, Hans-J{\"u}rgen and Voigt, Jens and Wendland, Frank}, title = {Groundwater recharge rates for regional groundwater modelling: a case study using GROWA in the Lower Rhine lignite mining area, Germany}, abstract = {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.}, language = {en} } @misc{WendlandBertholdFritscheetal., author = {Wendland, Frank and Berthold, Georg and Fritsche, Johann-Gerhard and Herrmann, Frank and Kunkel, Ralf and Voigt, Hans-J{\"u}rgen and Vereecken, Harry}, title = {A conceptual hydrogeological model for evaluating residence times in Hessen}, language = {en} } @misc{HerrmannKeulerWoltersetal., author = {Herrmann, Frank and Keuler, Klaus and Wolters, Tim and Bergmann, Sabine and Eisele, Michael and Wendland, Frank}, title = {Mit der Modellkette RCP-GCM-RCM-mGROWA projizierte Grundwasserneubildung als Datenbasis f{\"u}r zuk{\"u}nftiges Grundwassermanagement in Nordrhein-Westfalen}, series = {Grundwasser}, volume = {26}, journal = {Grundwasser}, number = {1}, issn = {1430-483X}, doi = {10.1007/s00767-020-00471-x}, pages = {17 -- 31}, abstract = {Mit einem Multi-Modell-Ensemble wurde analysiert, wie sich der Klimawandel auf den Grundwasserhaushalt in Nordrhein-Westfalen (NRW) auswirkt. Hierzu wurden Projektionen der zuk{\"u}nftigen Grundwasserneubildung f{\"u}r insgesamt 36 Mitglieder der Modellkette RCP-GCM-RCM-mGROWA, bestehend aus 3 RCP-Szenarien zuk{\"u}nftiger globaler Erw{\"a}rmung, 6 globalen und 5 dynamischen regionalen Klimamodellen sowie dem Wasserhaushaltsmodell mGROWA, vorgenommen. Mit dem Ensemble wurden f{\"u}r die hydrogeologischen Großr{\"a}ume NRWs nur teilweise signifikante {\"A}nderungen der j{\"a}hrlichen Grundwasserneubildung in den Perioden 2011-2040, 2041-2070 und 2071-2100 projiziert. Ein Robustheitstest mit zwei Kriterien ({\"U}bereinstimmung und Signifikanz der {\"A}nderungssignale) liefert keine belastbare Begr{\"u}ndung daf{\"u}r, dass sich die Grundwasserneubildung bis 2100 systematisch und signifikant {\"a}ndern 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 {\"U}bergangszone, in der eine Zunahme der Winterniederschl{\"a}ge die Wirkung der Erw{\"a}rmung auf die Grundwasserneubildung wahrscheinlich kompensiert.}, language = {de} } @phdthesis{Herrmann, author = {Herrmann, Frank}, title = {Entwicklung einer Methodik zur großr{\"a}umigen Modellierung von Grundwasserdruckfl{\"a}chen am Beispiel der Grundwasserleiter des Bundeslandes Hessen}, language = {de} } @misc{EisenhauerFrankWeigeltetal., author = {Eisenhauer, Nico and Frank, Karin and Weigelt, Alexandra and Bartkowski, Bartosz and Beugnon, R{\´e}my and Liebal, Katja and Mahecha, Miguel and Quaas, Martin and Al-Halbouni, Djamil and Bastos, Ana and Bohn, Friedrich J. and Brito, Mariana Madruga de and Denzler, Joachim and Feilhauer, Hannes and Fischer, Rico and Fritsche, Immo and Guimaraes-Steinicke, Claudia and H{\"a}nsel, Martin and Haun, Daniel B. M. and Herrmann, Hartmut and Huth, Andreas and Kalesse-Los, Heike and Koetter, Michael and Kolleck, Nina and Krause, Melanie and Kretschmer, Marlene and Leit{\~a}o, Pedro J. and Masson, Torsten and Mora, Karin and M{\"u}ller, Birgit and Peng, Jian and P{\"o}hlker, Mira L. and Ratzke, Leonie and Reichstein, Markus and Richter, Solveig and R{\"u}ger, Nadja and S{\´a}nchez-Parra, Beatriz and Shadaydeh, Maha and Sippel, Sebastian and Tegen, Ina and Thr{\"a}n, Daniela and Umlauft, Josefine and Wendisch, Manfred and Wolf, Kevin and Wirth, Christian and Zacher, Hannes and Zaehle, S{\"o}nke and Quaas, Johannes}, title = {A belowground perspective on the nexus between biodiversity change, climate change, and human well-being}, series = {Journal of Sustainable Agriculture and Environment}, volume = {3}, journal = {Journal of Sustainable Agriculture and Environment}, number = {2}, publisher = {Wiley}, issn = {2767-035X}, doi = {10.1002/sae2.12108}, pages = {12}, abstract = {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.}, language = {en} } @misc{LeithoffDilgerDuckhornetal., author = {Leithoff, Ruben and Dilger, Nikolas and Duckhorn, Frank and Blume, Stefan and Lembcke, Dario and Tsch{\"o}pe, Constanze and Herrmann, Christoph and Dr{\"o}der, Klaus}, title = {Inline monitoring of battery electrode lamination processes based on acoustic measurements}, series = {Batteries}, volume = {7}, journal = {Batteries}, number = {1}, publisher = {MDPI AG}, address = {Basel}, issn = {2313-0105}, doi = {10.3390/batteries7010019}, pages = {1 -- 21}, abstract = {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.}, language = {en} }