[{"keyword":["Zirkuläres Bauen","Kreislaufwirtschaft","Bauwirtschaft","Nachhaltiges Bauen","Materialkreisläufe","BIM","Building Information Modeling","construction industry","circular economy","sustainability","sustainable construction","circular construction","material cycles"],"extern":"1","file":[{"date_created":"2025-12-08T13:29:50Z","file_size":2396087,"file_id":"13317","relation":"main_file","success":1,"file_name":"Steinkuhl_Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude.pdf","content_type":"application/pdf","creator":"ebs-9xz","access_level":"open_access","date_updated":"2025-12-08T13:29:50Z"}],"supervisor":[{"last_name":"Brandt-Pook","full_name":"Brandt-Pook, Hans","first_name":"Hans"},{"full_name":"Hartel, Peter","last_name":"Hartel","first_name":"Peter"},{"first_name":"Birgit","last_name":"Essling","full_name":"Essling, Birgit"},{"first_name":"Lisa","full_name":"Pusch, Lisa","id":"85026","last_name":"Pusch","orcid":"https://orcid.org/0000-0002-9756-9548"}],"page":"80","abstract":[{"text":"Ressourcenverbrauch, CO2-Fußabdruck und Abfallaufkommen sind zentrale Themen bei der nachhaltigen Entwicklung der Bauwirtschaft. Besonders mit einem Gebäudeabbruch geht ein enormer Ressourcen- und Energieverlust einher. Diese Arbeit fokussiert den Abbruchprozess am Beispiel einer öffentlichen Verwaltung und analysiert die Möglichkeiten dieser, Kreisläufe von Bauteilen und -materialien in der lokalen Bauwirtschaft zu fördern. \r\nZunächst wurde der IST-Prozess für einen Abbruch von Gebäuden am Beispiel des Kreis Lippe aufgenommen und Schwachstellen für die Wiedereinbringung von Bauteilen und -materialien identifiziert. Danach wurden Best Practice Ansätze von öffentlichen Verwaltungen in Deutschland recherchiert und anschließend dies um den europäischen Raum erweitert. Der letzte Teil der Analyse bezieht sich auf das RE-BUILD-OWL Projekt, mit welchem der Kreis Lippe plante eine Vorreiterrolle in zirkulärem Bauen einzunehmen, und wie die Projektergebnisse die Wiedereinbringung von Bauteilen und -materialien im Rückbauprozess positiv beeinflussen können. \r\nEs hat sich gezeigt, dass sich die Best Practice und die Projektergebnisse positiv auf die Schwachstellen des Abbruchprozesses auswirken können. Konkret wurden für den Kreis Lippe vier Handlungsempfehlungen formuliert. 1. Wissensaufbau: Zwar wurde deutlich, dass bei Einzelpersonen großes Fachwissen beseht, ein Austausch zwischen den Mitarbeitenden bestand jedoch nicht ausreichend. Außerdem besteht auch Bedarf an externen Schulungen geschult/ Sensibilisierung. 2. Digitalisierungsstrategie: Langfristig deutet sich im Bausektor ein Wandel zur Nutzung von Building Information Modeling ab. Es wird empfohlen, diesen Wandel im Kreis Lippe vorzubereiten, um die Mitarbeitenden in dem Wandel mitzunehmen und diese Veränderung proaktiv anzugehen. 3. Aktive lokale Marktgestaltung: Der lokale Markt lässt sich durch die Erhöhung der Nachfrage von verfügbaren Sekundärmaterialien und der Erhöhung des Angebotes von verfügbaren Sekundärmaterialien beeinflussen. Wenn zusätzlich innovative Technologien in der Region gefördert werden, lassen sich langfristig Materialkreisläufe entwickeln. 4. Baustoff- und Materialdistribution: Diese Handlungsempfehlung gilt als Teil der Erhöhung des Sekundärmaterialangebots. Um die Angebotserhöhung der Sekundärbauteile und -materialien zu bewerkstelligen, wurden zwei Optionen vorgeschlagen. Zum einen kann die Fremdleistung der Identifizierung und Distribution eingekauft werden, zum anderen ist eine interne Umsetzung mit Aufbau einer Bauteil- und Materialbörse möglich. Wichtig ist in beiden Schritten, dass vor einem Abbruch ein Audit des Gebäudes und eine Klassifizierung der Bauteile und -materialien auf Wiederverwendbarkeit durchgeführt wird. Eine mögliche Umsetzung der Veränderungen wurden in einer beispielhaften SOLL-Prozess-Darstellung skizziert. \r\nDie Ergebnisse dieser Arbeit zeigen das Potenzial sowie konkrete Schritte auf, die der Kreis Lippe hat, um Bauteile und -materialien in einem Kreislauf zu behalten. Die Best Practice Analyse ist nicht spezifisch für den Kreis Lippe durchgeführt worden, weshalb die Ergebnisse zusätzlich für einen allgemein übertragbaren Erkenntnisgewinn zur Verfügung stehen. Auch andere öffentliche Verwaltungen können anhand der Ergebnisse dieser Arbeit Handlungsschritte ableiten. ","lang":"ger"},{"lang":"eng","text":"Resource consumption, carbon footprint and waste generation are key issues in the sustainable development of the construction industry. Demolition of buildings in particular is associated with an enormous loss of resources and energy. This thesis deals with the role of public administrations, in particular with their demolition process, and analyzes the possibilities of these to promote circular economy of building components and materials in the local construction industry.\r\nFirst, the actual process for demolishing buildings was recorded using the example of the Kreis Lippe and weak points for the reuse of components and materials were identified. This was followed by research into best practice in public administration in Germany and then in Europe. Finally, the last part of the analysis refers to RE-BUILD-OWL, a project with which the Kreis Lippe planned to take a pioneering role in circular construction, and how the project results can positively influence the reuse of components and materials in the deconstruction process.\r\nIt was determined that best practice and the project results can have a positive impact on the weak points. Specifically, four recommendations for action were formulated for the Kreis Lippe.  1. building knowledge: Although it became clear that individuals have a great deal of specialist knowledge, there was not enough exchange between the employees. In addition, external training should be provided as well. 2. digitalization strategy: In the long term, there are signs of a shift towards the use of Building Information Modeling in the construction sector. This change should be prepared in the Kreis Lippe in order to take employees along with the change and proactively tackle this change. 3. active local market design: The local market can be influenced by increasing the demand for available secondary materials and by increasing the supply of available secondary materials. If innovative technologies are also promoted in the region, material cycles can be developed in the long term. 4. construction components and material distribution: This recommendation for action is part of increasing the supply of secondary materials. There are two options for increasing the supply of secondary components and materials. On the one hand, the external service of identification and distribution can be purchased; on the other hand, internal implementation with the establishment of a component and material exchange is possible. In both cases, it is important that an audit of the building and a classification of the components and materials for reusability is carried out before demolition. A possible implementation of the changes was outlined in an exemplary target process diagram.\r\nThe results of this work show the potential and concrete steps that the Kreis Lippe has, to keep components and materials in a cycle. The best practice analysis was not carried out specifically for the Kreis Lippe, which is why the results are also available for a generally transferable gain in knowledge. Other public administrations can also derive action steps from the results of this work."}],"department":[{"_id":"DEP1622"}],"year":"2024","user_id":"83781","status":"public","file_date_updated":"2025-12-08T13:29:50Z","date_updated":"2025-12-08T14:06:15Z","doi":"10.25644/rs7s-yc91","type":"master_thesis","publisher":"Hochschule Bielefeld","_id":"12389","oa":"1","title":"Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude","has_accepted_license":"1","ddc":["000"],"author":[{"id":"87756","last_name":"Steinkuhl","full_name":"Steinkuhl, Anika","first_name":"Anika","orcid":"0009-0008-6759-6394"}],"date_created":"2025-01-23T15:21:53Z","language":[{"iso":"ger"}],"publication_status":"accepted","place":"Bielefeld","citation":{"van":"Steinkuhl A. Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude. Bielefeld: Hochschule Bielefeld; 80 p.","ama":"Steinkuhl A. <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Hochschule Bielefeld doi:<a href=\"https://doi.org/10.25644/rs7s-yc91\">10.25644/rs7s-yc91</a>","ieee":"A. Steinkuhl, <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Bielefeld: Hochschule Bielefeld. doi: <a href=\"https://doi.org/10.25644/rs7s-yc91\">10.25644/rs7s-yc91</a>.","chicago":"Steinkuhl, Anika. <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Bielefeld: Hochschule Bielefeld, n.d. <a href=\"https://doi.org/10.25644/rs7s-yc91\">https://doi.org/10.25644/rs7s-yc91</a>.","bjps":"<b>Steinkuhl A</b> (n.d.) <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Bielefeld: Hochschule Bielefeld.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Steinkuhl, Anika</span>: <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Bielefeld : Hochschule Bielefeld","havard":"A. Steinkuhl, Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude, Hochschule Bielefeld, Bielefeld, n.d.","ufg":"<b>Steinkuhl, Anika</b>: Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude, Bielefeld o. J.","chicago-de":"Steinkuhl, Anika. <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Bielefeld: Hochschule Bielefeld. doi:<a href=\"https://doi.org/10.25644/rs7s-yc91\">10.25644/rs7s-yc91</a>, .","short":"A. Steinkuhl, Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude, Hochschule Bielefeld, Bielefeld, n.d.","mla":"Steinkuhl, Anika. <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Hochschule Bielefeld, <a href=\"https://doi.org/10.25644/rs7s-yc91\">https://doi.org/10.25644/rs7s-yc91</a>.","apa":"Steinkuhl, A. (n.d.). <i>Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude</i>. Hochschule Bielefeld. <a href=\"https://doi.org/10.25644/rs7s-yc91\">https://doi.org/10.25644/rs7s-yc91</a>"}},{"publication":"Water resources research : an AGU journal","_id":"12855","isi":"1","intvolume":"        60","author":[{"full_name":"Shikhani, Muhammed","last_name":"Shikhani","first_name":"Muhammed"},{"full_name":"Feldbauer, Johannes","last_name":"Feldbauer","first_name":"Johannes"},{"full_name":"Ladwig, Robert","last_name":"Ladwig","first_name":"Robert"},{"full_name":"Mercado‐Bettín, Daniel","last_name":"Mercado‐Bettín","first_name":"Daniel"},{"first_name":"Tadhg N.","full_name":"Moore, Tadhg N.","last_name":"Moore"},{"full_name":"Gevorgyan, Artur","last_name":"Gevorgyan","first_name":"Artur"},{"first_name":"Amalya","full_name":"Misakyan, Amalya","last_name":"Misakyan"},{"first_name":"Chenxi","full_name":"Mi, Chenxi","last_name":"Mi"},{"first_name":"Martin","full_name":"Schultze, Martin","last_name":"Schultze"},{"first_name":"Bertram","last_name":"Boehrer","full_name":"Boehrer, Bertram"},{"last_name":"Shatwell","id":"86424","full_name":"Shatwell, Tom","first_name":"Tom","orcid":"0000-0002-4520-7916"},{"last_name":"Barfus","full_name":"Barfus, Klemens","first_name":"Klemens"},{"first_name":"Karsten","full_name":"Rinke, Karsten","last_name":"Rinke"}],"publication_identifier":{"issn":["0043-1397"],"eissn":["1944-7973"]},"place":"New York, NY","citation":{"ieee":"M. Shikhani <i>et al.</i>, “Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan,” <i>Water resources research : an AGU journal</i>, vol. 60, no. 11, 2024, doi: <a href=\"https://doi.org/10.1029/2023wr036511\">10.1029/2023wr036511</a>.","van":"Shikhani M, Feldbauer J, Ladwig R, Mercado‐Bettín D, Moore TN, Gevorgyan A, et al. Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan. Water resources research : an AGU journal. 2024;60(11).","ama":"Shikhani M, Feldbauer J, Ladwig R, et al. Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan. <i>Water resources research : an AGU journal</i>. 2024;60(11). doi:<a href=\"https://doi.org/10.1029/2023wr036511\">10.1029/2023wr036511</a>","bjps":"<b>Shikhani M <i>et al.</i></b> (2024) Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan. <i>Water resources research : an AGU journal</i> <b>60</b>.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Shikhani, Muhammed</span> ; <span style=\"font-variant:small-caps;\">Feldbauer, Johannes</span> ; <span style=\"font-variant:small-caps;\">Ladwig, Robert</span> ; <span style=\"font-variant:small-caps;\">Mercado‐Bettín, Daniel</span> ; <span style=\"font-variant:small-caps;\">Moore, Tadhg N.</span> ; <span style=\"font-variant:small-caps;\">Gevorgyan, Artur</span> ; <span style=\"font-variant:small-caps;\">Misakyan, Amalya</span> ; <span style=\"font-variant:small-caps;\">Mi, Chenxi</span> ; u. a.</span>: Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan. In: <i>Water resources research : an AGU journal</i> Bd. 60. New York, NY, American Geophysical Union (AGU) (2024), Nr. 11","chicago":"Shikhani, Muhammed, Johannes Feldbauer, Robert Ladwig, Daniel Mercado‐Bettín, Tadhg N. Moore, Artur Gevorgyan, Amalya Misakyan, et al. “Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan.” <i>Water Resources Research : An AGU Journal</i> 60, no. 11 (2024). <a href=\"https://doi.org/10.1029/2023wr036511\">https://doi.org/10.1029/2023wr036511</a>.","havard":"M. Shikhani, J. Feldbauer, R. Ladwig, D. Mercado‐Bettín, T.N. Moore, A. Gevorgyan, A. Misakyan, C. Mi, M. Schultze, B. Boehrer, T. Shatwell, K. Barfus, K. Rinke, Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan, Water Resources Research : An AGU Journal. 60 (2024).","short":"M. Shikhani, J. Feldbauer, R. Ladwig, D. Mercado‐Bettín, T.N. Moore, A. Gevorgyan, A. Misakyan, C. Mi, M. Schultze, B. Boehrer, T. Shatwell, K. Barfus, K. Rinke, Water Resources Research : An AGU Journal 60 (2024).","mla":"Shikhani, Muhammed, et al. “Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan.” <i>Water Resources Research : An AGU Journal</i>, vol. 60, no. 11, 2024, <a href=\"https://doi.org/10.1029/2023wr036511\">https://doi.org/10.1029/2023wr036511</a>.","apa":"Shikhani, M., Feldbauer, J., Ladwig, R., Mercado‐Bettín, D., Moore, T. N., Gevorgyan, A., Misakyan, A., Mi, C., Schultze, M., Boehrer, B., Shatwell, T., Barfus, K., &#38; Rinke, K. (2024). Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan. <i>Water Resources Research : An AGU Journal</i>, <i>60</i>(11). <a href=\"https://doi.org/10.1029/2023wr036511\">https://doi.org/10.1029/2023wr036511</a>","ufg":"<b>Shikhani, Muhammed u. a.</b>: Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan, in: <i>Water resources research : an AGU journal</i> 60 (2024), H. 11.","chicago-de":"Shikhani, Muhammed, Johannes Feldbauer, Robert Ladwig, Daniel Mercado‐Bettín, Tadhg N. Moore, Artur Gevorgyan, Amalya Misakyan, u. a. 2024. Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan. <i>Water resources research : an AGU journal</i> 60, Nr. 11. doi:<a href=\"https://doi.org/10.1029/2023wr036511\">10.1029/2023wr036511</a>, ."},"date_created":"2025-04-24T06:41:06Z","language":[{"iso":"eng"}],"volume":60,"pmid":"1","publication_status":"published","title":"Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan","year":"2024","user_id":"83781","department":[{"_id":"DEP8000"},{"_id":"DEP8022"}],"status":"public","keyword":["multi model ensemble (MME)","CORDEX","LakeEnsemblR","lake modeling","climate change impacts","variance decomposition"],"abstract":[{"text":"Global warming is shifting the thermal dynamics of lakes, with resulting climatic variability heavily affecting their mixing dynamics. We present a dual ensemble workflow coupling climate models with lake models. We used a large set of simulations across multiple domains, multi‐scenario, and multi GCM‐ RCM combinations from CORDEX data. We forced a set of multiple hydrodynamic lake models by these multiple climate simulations to explore climate change impacts on lakes. We also quantified the contributions from the different models to the overall uncertainty. We employed this workflow to investigate the effects of climate change on Lake Sevan (Armenia). We predicted for the end of the 21st century, under RCP 8.5, a sharp increase in surface temperature  and substantial bottom warming , longer stratification periods (+55 days) and disappearance of ice cover leading to a shift in mixing regime. Increased insufficient cooling during warmer winters points to the vulnerability of Lake Sevan to climate change. Our workflow leverages the strengths of multiple models at several levels of the model chain to provide a more robust projection and at the same time a better uncertainty estimate that accounts for the contributions of the different model levels to overall uncertainty. Although for specific variables, for example, summer bottom temperature, single lake models may perform better, the full ensemble provides a robust estimate of thermal dynamics that has a high transferability so that our workflow can be a blueprint for climate impact studies in other systems.","lang":"eng"}],"type":"scientific_journal_article","publisher":"American Geophysical Union (AGU)","issue":"11","doi":"10.1029/2023wr036511","date_updated":"2025-06-25T13:09:00Z","external_id":{"pmid":["39582854"],"isi":["001370328800001"]},"quality_controlled":"1"},{"series_title":"A+BE (2024)","_id":"12863","citation":{"apa":"Cardinali, M. (2024). <i>Green Health. Examining the role of green space characteristics and their proximity in green space health pathways</i> (Vol. 9). A+BE. <a href=\"https://doi.org/10.71690/ABE.2024.09\">https://doi.org/10.71690/ABE.2024.09</a>","mla":"Cardinali, Marcel. <i>Green Health. Examining the Role of Green Space Characteristics and Their Proximity in Green Space Health Pathways</i>. A+BE, 2024, <a href=\"https://doi.org/10.71690/ABE.2024.09\">https://doi.org/10.71690/ABE.2024.09</a>.","short":"M. Cardinali, Green Health. Examining the Role of Green Space Characteristics and Their Proximity in Green Space Health Pathways, A+BE, Delft, 2024.","chicago-de":"Cardinali, Marcel. 2024. <i>Green Health. Examining the role of green space characteristics and their proximity in green space health pathways</i>. Bd. 9. A+BE (2024). Delft: A+BE. doi:<a href=\"https://doi.org/10.71690/ABE.2024.09\">10.71690/ABE.2024.09</a>, .","ufg":"<b>Cardinali, Marcel</b>: Green Health. Examining the role of green space characteristics and their proximity in green space health pathways, Bd. 9, Delft 2024 (A+BE (2024)).","havard":"M. Cardinali, Green Health. Examining the role of green space characteristics and their proximity in green space health pathways, A+BE, Delft, 2024.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cardinali, Marcel</span>: <i>Green Health. Examining the role of green space characteristics and their proximity in green space health pathways</i>, <i>A+BE (2024)</i>. Bd. 9. Delft : A+BE, 2024","bjps":"<b>Cardinali M</b> (2024) <i>Green Health. Examining the Role of Green Space Characteristics and Their Proximity in Green Space Health Pathways</i>. Delft: A+BE.","chicago":"Cardinali, Marcel. <i>Green Health. Examining the Role of Green Space Characteristics and Their Proximity in Green Space Health Pathways</i>. Vol. 9. A+BE (2024). Delft: A+BE, 2024. <a href=\"https://doi.org/10.71690/ABE.2024.09\">https://doi.org/10.71690/ABE.2024.09</a>.","ieee":"M. Cardinali, <i>Green Health. Examining the role of green space characteristics and their proximity in green space health pathways</i>, vol. 9. Delft: A+BE, 2024. doi: <a href=\"https://doi.org/10.71690/ABE.2024.09\">10.71690/ABE.2024.09</a>.","van":"Cardinali M. Green Health. Examining the role of green space characteristics and their proximity in green space health pathways. Delft: A+BE; 2024. 312 p. (A+BE (2024); vol. 9).","ama":"Cardinali M. <i>Green Health. Examining the Role of Green Space Characteristics and Their Proximity in Green Space Health Pathways</i>. Vol 9. A+BE; 2024. doi:<a href=\"https://doi.org/10.71690/ABE.2024.09\">10.71690/ABE.2024.09</a>"},"place":"Delft","publication_status":"published","volume":9,"language":[{"iso":"eng"}],"date_created":"2025-04-24T15:30:41Z","author":[{"first_name":"Marcel","id":"58462","last_name":"Cardinali","full_name":"Cardinali, Marcel","orcid":"0000-0002-8841-9345"}],"intvolume":"         9","publication_identifier":{"issn":["2212-3202"],"isbn":["978-94-6366-849-1"]},"ddc":["710"],"has_accepted_license":"1","title":"Green Health. Examining the role of green space characteristics and their proximity in green space health pathways","status":"public","year":"2024","user_id":"83781","department":[{"_id":"DEP1000"},{"_id":"DEP1055"}],"abstract":[{"text":"This doctoral thesis critically examines green space characteristics and their proximity to residents in their ability to help reduce the global disease burden of non-communicable diseases. By dissecting three pivotal pathways of theorized green space health effects through increased physical activity, increased social cohesion, and reduced air pollution, the thesis aims to provide new insights into which green space characteristics drive these relationships and in which distance they occur. To achieve these aims, this thesis develops reporting guidelines for the research field, a QGIS script for automatization of green space indicator development and uses two complementary sources for data collection. It builds on the self-reported data on physical activity, social cohesion, air pollution, health and mental health from the URBiNAT project and its case studies in the four European satellite neighbourhoods Nantes-Nord (France), Porto-Campanhã (Portugal), Sofia-Nadezhda (Bulgaria), and Høje-Taastrup (Denmark) and complements it with a rigorous spatial analysis. This enabled a rigorous sensitivity analysis based on up to 135 structural equation models per pathway. The results of this doctoral research revealed distinct green space characteristics and proximities that drive each pathway, including thresholds where these associations disappear or even change direction. It concludes that interconnected, multi-use green corridors are more beneficial than isolated patches for all space strategies to shift focus from mere ratios to green mobility infrastructures. Although rooted primarily in European contexts and of a cross-sectional nature, the doctoral research provides new evidence for urban planning and public health. It emphasizes the practical implications of how to design green spaces to address health concerns. The results not only resonate with the WHO's Urban Health Research Agenda but also provide tangible recommendations for a healthier human habitat.","lang":"eng"}],"page":"312","supervisor":[{"orcid":"0000-0002-8594-3168","id":"27166","last_name":"Pottgiesser","full_name":"Pottgiesser, Uta","first_name":"Uta"},{"full_name":"van Timmeren, Arjan","last_name":"van Timmeren","first_name":"Arjan"},{"first_name":"Mariëlle","full_name":"Beenackers, Mariëlle","last_name":"Beenackers"}],"keyword":["Health","Green Space","Green Infrastructure","Well-being","Structural Equation Modeling"],"publisher":"A+BE","type":"dissertation","date_updated":"2025-04-25T07:35:13Z","doi":"10.71690/ABE.2024.09","defense_date":"2024-04-22"},{"publication":"Water research : a journal of the International Water Association","_id":"12223","article_number":"118721","publication_identifier":{"issn":["0043-1354"],"eissn":["1879-2448"]},"author":[{"full_name":"Kong, Xiangzhen","last_name":"Kong","first_name":"Xiangzhen"},{"last_name":"Ghaffar","full_name":"Ghaffar, Salman","first_name":"Salman"},{"first_name":"Maria","last_name":"Determann","full_name":"Determann, Maria"},{"last_name":"Friese","full_name":"Friese, Kurt","first_name":"Kurt"},{"full_name":"Jomaa, Seifeddine","last_name":"Jomaa","first_name":"Seifeddine"},{"first_name":"Chenxi","full_name":"Mi, Chenxi","last_name":"Mi"},{"full_name":"Shatwell, Tom","last_name":"Shatwell","id":"86424","first_name":"Tom","orcid":"0000-0002-4520-7916"},{"first_name":"Karsten","last_name":"Rinke","full_name":"Rinke, Karsten"},{"full_name":"Rode, Michael","last_name":"Rode","first_name":"Michael"}],"intvolume":"       221","volume":221,"publication_status":"published","language":[{"iso":"eng"}],"date_created":"2024-12-08T19:52:43Z","citation":{"ufg":"<b>Kong, Xiangzhen u. a.</b>: Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change, in: <i>Water research : a journal of the International Water Association</i> 221 (2022), H. 8.","chicago-de":"Kong, Xiangzhen, Salman Ghaffar, Maria Determann, Kurt Friese, Seifeddine Jomaa, Chenxi Mi, Tom Shatwell, Karsten Rinke und Michael Rode. 2022. Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change. <i>Water research : a journal of the International Water Association</i> 221, Nr. 8. doi:<a href=\"https://doi.org/10.1016/j.watres.2022.118721\">10.1016/j.watres.2022.118721</a>, .","short":"X. Kong, S. Ghaffar, M. Determann, K. Friese, S. Jomaa, C. Mi, T. Shatwell, K. Rinke, M. Rode, Water Research : A Journal of the International Water Association 221 (2022).","mla":"Kong, Xiangzhen, et al. “Reservoir Water Quality Deterioration Due to Deforestation Emphasizes the Indirect Effects of Global Change.” <i>Water Research : A Journal of the International Water Association</i>, vol. 221, no. 8, 118721, 2022, <a href=\"https://doi.org/10.1016/j.watres.2022.118721\">https://doi.org/10.1016/j.watres.2022.118721</a>.","apa":"Kong, X., Ghaffar, S., Determann, M., Friese, K., Jomaa, S., Mi, C., Shatwell, T., Rinke, K., &#38; Rode, M. (2022). Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change. <i>Water Research : A Journal of the International Water Association</i>, <i>221</i>(8), Article 118721. <a href=\"https://doi.org/10.1016/j.watres.2022.118721\">https://doi.org/10.1016/j.watres.2022.118721</a>","havard":"X. Kong, S. Ghaffar, M. Determann, K. Friese, S. Jomaa, C. Mi, T. Shatwell, K. Rinke, M. Rode, Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change, Water Research : A Journal of the International Water Association. 221 (2022).","chicago":"Kong, Xiangzhen, Salman Ghaffar, Maria Determann, Kurt Friese, Seifeddine Jomaa, Chenxi Mi, Tom Shatwell, Karsten Rinke, and Michael Rode. “Reservoir Water Quality Deterioration Due to Deforestation Emphasizes the Indirect Effects of Global Change.” <i>Water Research : A Journal of the International Water Association</i> 221, no. 8 (2022). <a href=\"https://doi.org/10.1016/j.watres.2022.118721\">https://doi.org/10.1016/j.watres.2022.118721</a>.","bjps":"<b>Kong X <i>et al.</i></b> (2022) Reservoir Water Quality Deterioration Due to Deforestation Emphasizes the Indirect Effects of Global Change. <i>Water research : a journal of the International Water Association</i> <b>221</b>.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Kong, Xiangzhen</span> ; <span style=\"font-variant:small-caps;\">Ghaffar, Salman</span> ; <span style=\"font-variant:small-caps;\">Determann, Maria</span> ; <span style=\"font-variant:small-caps;\">Friese, Kurt</span> ; <span style=\"font-variant:small-caps;\">Jomaa, Seifeddine</span> ; <span style=\"font-variant:small-caps;\">Mi, Chenxi</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span> ; <span style=\"font-variant:small-caps;\">Rinke, Karsten</span> ; u. a.</span>: Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change. In: <i>Water research : a journal of the International Water Association</i> Bd. 221. Amsterdam, Elsevier BV (2022), Nr. 8","ama":"Kong X, Ghaffar S, Determann M, et al. Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change. <i>Water research : a journal of the International Water Association</i>. 2022;221(8). doi:<a href=\"https://doi.org/10.1016/j.watres.2022.118721\">10.1016/j.watres.2022.118721</a>","van":"Kong X, Ghaffar S, Determann M, Friese K, Jomaa S, Mi C, et al. Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change. Water research : a journal of the International Water Association. 2022;221(8).","ieee":"X. Kong <i>et al.</i>, “Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change,” <i>Water research : a journal of the International Water Association</i>, vol. 221, no. 8, Art. no. 118721, 2022, doi: <a href=\"https://doi.org/10.1016/j.watres.2022.118721\">10.1016/j.watres.2022.118721</a>."},"place":"Amsterdam","title":"Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change","department":[{"_id":"DEP8022"}],"year":"2022","user_id":"83781","status":"public","keyword":["Deforestation","Climate change","Temperate regions","Reservoir","Eutrophication","Process-based modeling"],"extern":"1","abstract":[{"text":"Deforestation is currently a widespread phenomenon and a growing environmental concern in the era of rapid climate change. In temperate regions, it is challenging to quantify the impacts of deforestation on the catchment dynamics and downstream aquatic ecosystems such as reservoirs and disentangle these from direct climate change impacts, let alone project future changes to inform management. Here, we tackled this issue by investigating a unique catchment-reservoir system with two reservoirs in distinct trophic states (meso‑ and eutrophic), both of which drain into the largest drinking water reservoir in Germany. Due to the prolonged droughts in 2015–2018, the catchment of the mesotrophic reservoir lost an unprecedented area of forest (exponential increase since 2015 and ca. 17.1% loss in 2020 alone). We coupled catchment nutrient exports (HYPE) and reservoir ecosystem dynamics (GOTM-WET) models using a process-based modeling approach. The coupled model was validated with datasets spanning periods of rapid deforestation, which makes our future projections highly robust. Results show that in a short-term time scale (by 2035), increasing nutrient flux from the catchment due to vast deforestation (80% loss) can turn the mesotrophic reservoir into a eutrophic state as its counterpart. Our results emphasize the more prominent impacts of deforestation than the direct impact of climate warming in impairment of water quality and ecological services to downstream aquatic ecosystems. Therefore, we propose to evaluate the impact of climate change on temperate reservoirs by incorporating a time scale-dependent context, highlighting the indirect impact of deforestation in the short-term scale. In the long-term scale (e.g. to 2100), a guiding hypothesis for future research may be that indirect effects (e.g., as mediated by catchment dynamics) are as important as the direct effects of climate warming on aquatic ecosystems.","lang":"eng"}],"type":"scientific_journal_article","publisher":"Elsevier BV","issue":"8","quality_controlled":"1","doi":"10.1016/j.watres.2022.118721","date_updated":"2024-12-11T13:11:19Z"},{"title":"Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle","citation":{"havard":"S. Geng, T. Schulte, J. Maas, Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle, Applied Sciences. 12 (2022).","chicago-de":"Geng, Stefan, Thomas Schulte und Jürgen Maas. 2022. Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle. <i>Applied Sciences</i> 12, Nr. 6. doi:<a href=\"https://doi.org/10.3390/app12062905\">10.3390/app12062905</a>, .","ufg":"<b>Geng, Stefan/Schulte, Thomas/Maas, Jürgen</b>: Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle, in: <i>Applied Sciences</i> 12 (2022), H. 6.","apa":"Geng, S., Schulte, T., &#38; Maas, J. (2022). Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle. <i>Applied Sciences</i>, <i>12</i>(6), Article 2905. <a href=\"https://doi.org/10.3390/app12062905\">https://doi.org/10.3390/app12062905</a>","mla":"Geng, Stefan, et al. “Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle.” <i>Applied Sciences</i>, vol. 12, no. 6, 2905, 2022, <a href=\"https://doi.org/10.3390/app12062905\">https://doi.org/10.3390/app12062905</a>.","short":"S. Geng, T. Schulte, J. Maas, Applied Sciences 12 (2022).","van":"Geng S, Schulte T, Maas J. Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle. Applied Sciences. 2022;12(6).","ama":"Geng S, Schulte T, Maas J. Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle. <i>Applied Sciences</i>. 2022;12(6). doi:<a href=\"https://doi.org/10.3390/app12062905\">10.3390/app12062905</a>","ieee":"S. Geng, T. Schulte, and J. Maas, “Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle,” <i>Applied Sciences</i>, vol. 12, no. 6, Art. no. 2905, 2022, doi: <a href=\"https://doi.org/10.3390/app12062905\">10.3390/app12062905</a>.","chicago":"Geng, Stefan, Thomas Schulte, and Jürgen Maas. “Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle.” <i>Applied Sciences</i> 12, no. 6 (2022). <a href=\"https://doi.org/10.3390/app12062905\">https://doi.org/10.3390/app12062905</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Geng, Stefan</span> ; <span style=\"font-variant:small-caps;\">Schulte, Thomas</span> ; <span style=\"font-variant:small-caps;\">Maas, Jürgen</span>: Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle. In: <i>Applied Sciences</i> Bd. 12. Basel, MDPI AG (2022), Nr. 6","bjps":"<b>Geng S, Schulte T and Maas J</b> (2022) Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle. <i>Applied Sciences</i> <b>12</b>."},"place":"Basel","publication_status":"published","volume":12,"date_created":"2025-04-17T06:46:05Z","language":[{"iso":"eng"}],"intvolume":"        12","author":[{"first_name":"Stefan","full_name":"Geng, Stefan","last_name":"Geng","id":"43696"},{"full_name":"Schulte, Thomas","last_name":"Schulte","id":"46242","first_name":"Thomas"},{"full_name":"Maas, Jürgen","id":"1827","last_name":"Maas","first_name":"Jürgen"}],"isi":"1","publication_identifier":{"eissn":["2076-3417"]},"article_number":"2905","_id":"12814","publication":"Applied Sciences","doi":"10.3390/app12062905","date_updated":"2025-06-26T13:30:48Z","external_id":{"isi":["000776925600001"]},"issue":"6","publisher":"MDPI AG","type":"scientific_journal_article","abstract":[{"text":"Plug-in hybrid electric vehicles (PHEVs) are developed to reduce fuel consumption and the emission of carbon dioxide. Common powertrain configurations of PHEVs (i.e., the configuration of the combustion engine, electric motor, and transmission) can be operated either in series, parallel, or power split hybrid mode, whereas powertrain configurations with multimode transmissions enable switching between those modes during vehicle operation. Hence, depending on the current operation state of the vehicle, the most appropriate mode in terms efficiency can be selected. This, however, requires an operating strategy, which controls the mode selection as well as the torque distribution between the combustion engine and electric motor with the aim of optimal battery depletion and minimal fuel consumption. A well-known approach is the equivalent consumption minimization strategy (ECMS). It can be applied by using optimizations based on a prediction of the future driving behavior. Since the outcome of the ECMS depends on the quality of this prediction, it is crucial to know how accurate the predictions must be in order to obtain acceptable results. In this contribution, various prediction methods and real-time capable ECMS implementations are analyzed and compared in terms of the achievable fuel economy. The basis for the analysis is a holistic model of a state-of-the-art PHEV powertrain configuration, comprising the multimode transmission, corresponding powertrain components, and representative real-world driving data.","lang":"eng"}],"keyword":["PHEV","ECMS","multimode transmission","optimization","powertrain modeling"],"status":"public","year":"2022","user_id":"83781","department":[{"_id":"DEP6020"}]},{"language":[{"iso":"eng"}],"date_created":"2024-12-08T20:18:32Z","volume":143,"publication_status":"published","citation":{"bjps":"<b>Moore TN <i>et al.</i></b> (2021) LakeEnsemblR: An R Package That Facilitates Ensemble Modelling of Lakes. <i>Environmental modelling &#38; software with environment data news</i> <b>143</b>.","short":"T.N. Moore, J.P. Mesman, R. Ladwig, J. Feldbauer, F. Olsson, R.M. Pilla, T. Shatwell, J.J. Venkiteswaran, A.D. Delany, H. Dugan, K.C. Rose, J.S. Read, Environmental Modelling &#38; Software with Environment Data News 143 (2021).","apa":"Moore, T. N., Mesman, J. P., Ladwig, R., Feldbauer, J., Olsson, F., Pilla, R. M., Shatwell, T., Venkiteswaran, J. J., Delany, A. D., Dugan, H., Rose, K. C., &#38; Read, J. S. (2021). LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. <i>Environmental Modelling &#38; Software with Environment Data News</i>, <i>143</i>, Article 105101. <a href=\"https://doi.org/10.1016/j.envsoft.2021.105101\">https://doi.org/10.1016/j.envsoft.2021.105101</a>","mla":"Moore, Tadhg N., et al. “LakeEnsemblR: An R Package That Facilitates Ensemble Modelling of Lakes.” <i>Environmental Modelling &#38; Software with Environment Data News</i>, vol. 143, 105101, 2021, <a href=\"https://doi.org/10.1016/j.envsoft.2021.105101\">https://doi.org/10.1016/j.envsoft.2021.105101</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Moore, Tadhg N.</span> ; <span style=\"font-variant:small-caps;\">Mesman, Jorrit P.</span> ; <span style=\"font-variant:small-caps;\">Ladwig, Robert</span> ; <span style=\"font-variant:small-caps;\">Feldbauer, Johannes</span> ; <span style=\"font-variant:small-caps;\">Olsson, Freya</span> ; <span style=\"font-variant:small-caps;\">Pilla, Rachel M.</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span> ; <span style=\"font-variant:small-caps;\">Venkiteswaran, Jason J.</span> ; u. a.</span>: LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. In: <i>Environmental modelling &#38; software with environment data news</i> Bd. 143, Elsevier BV (2021)","ufg":"<b>Moore, Tadhg N. u. a.</b>: LakeEnsemblR: An R package that facilitates ensemble modelling of lakes, in: <i>Environmental modelling &#38; software with environment data news</i> 143 (2021).","chicago":"Moore, Tadhg N., Jorrit P. Mesman, Robert Ladwig, Johannes Feldbauer, Freya Olsson, Rachel M. Pilla, Tom Shatwell, et al. “LakeEnsemblR: An R Package That Facilitates Ensemble Modelling of Lakes.” <i>Environmental Modelling &#38; Software with Environment Data News</i> 143 (2021). <a href=\"https://doi.org/10.1016/j.envsoft.2021.105101\">https://doi.org/10.1016/j.envsoft.2021.105101</a>.","chicago-de":"Moore, Tadhg N., Jorrit P. Mesman, Robert Ladwig, Johannes Feldbauer, Freya Olsson, Rachel M. Pilla, Tom Shatwell, u. a. 2021. LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. <i>Environmental modelling &#38; software with environment data news</i> 143. doi:<a href=\"https://doi.org/10.1016/j.envsoft.2021.105101\">10.1016/j.envsoft.2021.105101</a>, .","havard":"T.N. Moore, J.P. Mesman, R. Ladwig, J. Feldbauer, F. Olsson, R.M. Pilla, T. Shatwell, J.J. Venkiteswaran, A.D. Delany, H. Dugan, K.C. Rose, J.S. Read, LakeEnsemblR: An R package that facilitates ensemble modelling of lakes, Environmental Modelling &#38; Software with Environment Data News. 143 (2021).","ieee":"T. N. Moore <i>et al.</i>, “LakeEnsemblR: An R package that facilitates ensemble modelling of lakes,” <i>Environmental modelling &#38; software with environment data news</i>, vol. 143, Art. no. 105101, 2021, doi: <a href=\"https://doi.org/10.1016/j.envsoft.2021.105101\">10.1016/j.envsoft.2021.105101</a>.","ama":"Moore TN, Mesman JP, Ladwig R, et al. LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. <i>Environmental modelling &#38; software with environment data news</i>. 2021;143. doi:<a href=\"https://doi.org/10.1016/j.envsoft.2021.105101\">10.1016/j.envsoft.2021.105101</a>","van":"Moore TN, Mesman JP, Ladwig R, Feldbauer J, Olsson F, Pilla RM, et al. LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. Environmental modelling &#38; software with environment data news. 2021;143."},"publication_identifier":{"eissn":["1873-6726"],"issn":["1364-8152"]},"author":[{"full_name":"Moore, Tadhg N.","last_name":"Moore","first_name":"Tadhg N."},{"full_name":"Mesman, Jorrit P.","last_name":"Mesman","first_name":"Jorrit P."},{"full_name":"Ladwig, Robert","last_name":"Ladwig","first_name":"Robert"},{"last_name":"Feldbauer","full_name":"Feldbauer, Johannes","first_name":"Johannes"},{"full_name":"Olsson, Freya","last_name":"Olsson","first_name":"Freya"},{"first_name":"Rachel M.","last_name":"Pilla","full_name":"Pilla, Rachel M."},{"first_name":"Tom","id":"86424","last_name":"Shatwell","full_name":"Shatwell, Tom","orcid":"0000-0002-4520-7916"},{"last_name":"Venkiteswaran","full_name":"Venkiteswaran, Jason J.","first_name":"Jason J."},{"last_name":"Delany","full_name":"Delany, Austin D.","first_name":"Austin D."},{"first_name":"Hilary","full_name":"Dugan, Hilary","last_name":"Dugan"},{"first_name":"Kevin C.","full_name":"Rose, Kevin C.","last_name":"Rose"},{"last_name":"Read","full_name":"Read, Jordan S.","first_name":"Jordan S."}],"intvolume":"       143","title":"LakeEnsemblR: An R package that facilitates ensemble modelling of lakes","main_file_link":[{"url":"https://doi.org/10.1016/j.envsoft.2021.105101"}],"publication":"Environmental modelling & software with environment data news","article_number":"105101","_id":"12230","publisher":"Elsevier BV","type":"scientific_journal_article","quality_controlled":"1","doi":"10.1016/j.envsoft.2021.105101","date_updated":"2024-12-09T11:27:54Z","status":"public","department":[{"_id":"DEP8022"}],"user_id":"83781","year":"2021","abstract":[{"lang":"eng","text":"Model ensembles have several benefits compared to single-model applications but are not frequently used within the lake modelling community. Setting up and running multiple lake models can be challenging and time consuming, despite the many similarities between the existing models (forcing data, hypsograph, etc.). Here we present an R package, LakeEnsemblR, that facilitates running ensembles of five different vertical one-dimensional hydrodynamic lake models (FLake, GLM, GOTM, Simstrat, MyLake). The package requires input in a standardised format and a single configuration file. LakeEnsemblR formats these files to the input required by each model, and provides functions to run and calibrate the models. The outputs of the different models are compiled into a single file, and several post-processing operations are supported. LakeEnsemblR's workflow standardisation can simplify model benchmarking and uncertainty quantification, and improve collaborations between scientists. We showcase the successful application of LakeEnsemblR for two different lakes."}],"keyword":["Ensemble modeling","Vertical one-dimensional lake model","R package","Calibration","Thermal structure","Hydrodynamics"],"extern":"1"},{"editor":[{"first_name":"Jessica","id":"45672","last_name":"Rubart","full_name":"Rubart, Jessica"},{"last_name":"Atzenbeck","full_name":"Atzenbeck, Claus","first_name":"Claus"}],"publisher":"ACM Press","type":"conference_editor_article","external_id":{"isi":["001345025900002"]},"quality_controlled":"1","date_updated":"2025-06-26T13:23:09Z","doi":"10.1145/3468143.3483927","status":"public","department":[{"_id":"DEP8008"},{"_id":"DEP8000"}],"year":"2021","user_id":"83781","conference":{"location":"Virtual Event, Ireland","name":"4th Workshop on Human Factors in Hypertext (HUMAN)","start_date":"2021-08-30","end_date":"2021-09-02"},"page":"3-10","abstract":[{"text":"Gamification is a widely used way of increasing motivation and fun in the use of systems that are not games. By outlining critical aspects in developing gamified systems, we adapted the modelling technique event storming in the context of a special case study where a gamified, collaborative platform was developed. For this purpose, the relationship of event storming and spatial hypertext has been worked out and an event storming extension has been introduced based on spatial hypertext principles. With respect to the case study and further insights in the academic context, we discuss how the emerging nature of event storming could benefit from a specialized spatial hypertext tool.","lang":"eng"}],"keyword":["Spatial Hypertext","Gamification","Event Storming","System Modeling","Collaborative Modeling","Gamified System"],"publication_status":"published","language":[{"iso":"eng"}],"date_created":"2022-05-31T09:21:00Z","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Grimm, Valentin</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span> ; <span style=\"font-variant:small-caps;\">Rubart, J.</span> ; <span style=\"font-variant:small-caps;\">Atzenbeck, C.</span> (Hrsg.): <i>Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext</i> : ACM Press, 2021","bjps":"<b>Grimm V and Rubart J</b> (2021) <i>Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext</i>, Rubart J and Atzenbeck C (eds). ACM Press.","chicago":"Grimm, Valentin, and Jessica Rubart. <i>Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext</i>. Edited by Jessica Rubart and Claus Atzenbeck. <i>Proceedings of the 4th International Workshop on Human Factors in Hypertext (HUMAN’21)</i>. ACM Press, 2021. <a href=\"https://doi.org/10.1145/3468143.3483927\">https://doi.org/10.1145/3468143.3483927</a>.","ieee":"V. Grimm and J. Rubart, <i>Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext</i>. ACM Press, 2021, pp. 3–10. doi: <a href=\"https://doi.org/10.1145/3468143.3483927\">10.1145/3468143.3483927</a>.","van":"Grimm V, Rubart J. Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext. Rubart J, Atzenbeck C, editors. Proceedings of the 4th international Workshop on Human Factors in Hypertext (HUMAN’21). ACM Press; 2021.","ama":"Grimm V, Rubart J. <i>Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext</i>. (Rubart J, Atzenbeck C, eds.). ACM Press; 2021:3-10. doi:<a href=\"https://doi.org/10.1145/3468143.3483927\">10.1145/3468143.3483927</a>","mla":"Grimm, Valentin, and Jessica Rubart. “Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext.” <i>Proceedings of the 4th International Workshop on Human Factors in Hypertext (HUMAN’21)</i>, edited by Jessica Rubart and Claus Atzenbeck, ACM Press, 2021, pp. 3–10, <a href=\"https://doi.org/10.1145/3468143.3483927\">https://doi.org/10.1145/3468143.3483927</a>.","apa":"Grimm, V., &#38; Rubart, J. (2021). Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext. In J. Rubart &#38; C. Atzenbeck (Eds.), <i>Proceedings of the 4th international Workshop on Human Factors in Hypertext (HUMAN’21)</i> (pp. 3–10). ACM Press. <a href=\"https://doi.org/10.1145/3468143.3483927\">https://doi.org/10.1145/3468143.3483927</a>","short":"V. Grimm, J. Rubart, Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext, ACM Press, 2021.","chicago-de":"Grimm, Valentin und Jessica Rubart. 2021. <i>Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext</i>. Hg. von Jessica Rubart und Claus Atzenbeck. <i>Proceedings of the 4th international Workshop on Human Factors in Hypertext (HUMAN’21)</i>. ACM Press. doi:<a href=\"https://doi.org/10.1145/3468143.3483927\">10.1145/3468143.3483927</a>, .","ufg":"<b>Grimm, Valentin/Rubart, Jessica</b>: Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext, hg. von Rubart, Jessica/Atzenbeck, Claus, o. O. 2021.","havard":"V. Grimm, J. Rubart, Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext, ACM Press, 2021."},"publication_identifier":{"isbn":["978-1-4503-8560-2"]},"author":[{"first_name":"Valentin","id":"74000","last_name":"Grimm","full_name":"Grimm, Valentin"},{"id":"45672","last_name":"Rubart","full_name":"Rubart, Jessica","first_name":"Jessica"}],"isi":"1","title":"Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext","main_file_link":[{"url":"https://dl.acm.org/doi/10.1145/3468143.3483927"}],"publication":"Proceedings of the 4th international Workshop on Human Factors in Hypertext (HUMAN’21)","_id":"8326"},{"main_file_link":[{"url":"https://doi.org/10.1016/j.watres.2020.116681"}],"title":"Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling","author":[{"last_name":"Kong","full_name":"Kong, Xiangzhen","first_name":"Xiangzhen"},{"first_name":"Michael","full_name":"Seewald, Michael","last_name":"Seewald"},{"first_name":"Tallent","last_name":"Dadi","full_name":"Dadi, Tallent"},{"first_name":"Kurt","last_name":"Friese","full_name":"Friese, Kurt"},{"first_name":"Chenxi","full_name":"Mi, Chenxi","last_name":"Mi"},{"first_name":"Bertram","full_name":"Boehrer, Bertram","last_name":"Boehrer"},{"last_name":"Schultze","full_name":"Schultze, Martin","first_name":"Martin"},{"full_name":"Rinke, Karsten","last_name":"Rinke","first_name":"Karsten"},{"id":"86424","last_name":"Shatwell","full_name":"Shatwell, Tom","first_name":"Tom","orcid":"0000-0002-4520-7916"}],"intvolume":"       190","publication_identifier":{"eissn":["1879-2448"],"issn":["0043-1354"]},"place":"Amsterdam","citation":{"bjps":"<b>Kong X <i>et al.</i></b> (2020) Unravelling Winter Diatom Blooms in Temperate Lakes Using High Frequency Data and Ecological Modeling. <i>Water research : a journal of the International Water Association</i> <b>190</b>.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Kong, Xiangzhen</span> ; <span style=\"font-variant:small-caps;\">Seewald, Michael</span> ; <span style=\"font-variant:small-caps;\">Dadi, Tallent</span> ; <span style=\"font-variant:small-caps;\">Friese, Kurt</span> ; <span style=\"font-variant:small-caps;\">Mi, Chenxi</span> ; <span style=\"font-variant:small-caps;\">Boehrer, Bertram</span> ; <span style=\"font-variant:small-caps;\">Schultze, Martin</span> ; <span style=\"font-variant:small-caps;\">Rinke, Karsten</span> ; u. a.</span>: Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. In: <i>Water research : a journal of the International Water Association</i> Bd. 190. Amsterdam, Elsevier BV (2020)","chicago":"Kong, Xiangzhen, Michael Seewald, Tallent Dadi, Kurt Friese, Chenxi Mi, Bertram Boehrer, Martin Schultze, Karsten Rinke, and Tom Shatwell. “Unravelling Winter Diatom Blooms in Temperate Lakes Using High Frequency Data and Ecological Modeling.” <i>Water Research : A Journal of the International Water Association</i> 190 (2020). <a href=\"https://doi.org/10.1016/j.watres.2020.116681\">https://doi.org/10.1016/j.watres.2020.116681</a>.","ieee":"X. Kong <i>et al.</i>, “Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling,” <i>Water research : a journal of the International Water Association</i>, vol. 190, Art. no. 116681, 2020, doi: <a href=\"https://doi.org/10.1016/j.watres.2020.116681\">10.1016/j.watres.2020.116681</a>.","ama":"Kong X, Seewald M, Dadi T, et al. Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. <i>Water research : a journal of the International Water Association</i>. 2020;190. doi:<a href=\"https://doi.org/10.1016/j.watres.2020.116681\">10.1016/j.watres.2020.116681</a>","van":"Kong X, Seewald M, Dadi T, Friese K, Mi C, Boehrer B, et al. Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. Water research : a journal of the International Water Association. 2020;190.","short":"X. Kong, M. Seewald, T. Dadi, K. Friese, C. Mi, B. Boehrer, M. Schultze, K. Rinke, T. Shatwell, Water Research : A Journal of the International Water Association 190 (2020).","mla":"Kong, Xiangzhen, et al. “Unravelling Winter Diatom Blooms in Temperate Lakes Using High Frequency Data and Ecological Modeling.” <i>Water Research : A Journal of the International Water Association</i>, vol. 190, 116681, 2020, <a href=\"https://doi.org/10.1016/j.watres.2020.116681\">https://doi.org/10.1016/j.watres.2020.116681</a>.","apa":"Kong, X., Seewald, M., Dadi, T., Friese, K., Mi, C., Boehrer, B., Schultze, M., Rinke, K., &#38; Shatwell, T. (2020). Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. <i>Water Research : A Journal of the International Water Association</i>, <i>190</i>, Article 116681. <a href=\"https://doi.org/10.1016/j.watres.2020.116681\">https://doi.org/10.1016/j.watres.2020.116681</a>","ufg":"<b>Kong, Xiangzhen u. a.</b>: Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling, in: <i>Water research : a journal of the International Water Association</i> 190 (2020).","chicago-de":"Kong, Xiangzhen, Michael Seewald, Tallent Dadi, Kurt Friese, Chenxi Mi, Bertram Boehrer, Martin Schultze, Karsten Rinke und Tom Shatwell. 2020. Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. <i>Water research : a journal of the International Water Association</i> 190. doi:<a href=\"https://doi.org/10.1016/j.watres.2020.116681\">10.1016/j.watres.2020.116681</a>, .","havard":"X. Kong, M. Seewald, T. Dadi, K. Friese, C. Mi, B. Boehrer, M. Schultze, K. Rinke, T. Shatwell, Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling, Water Research : A Journal of the International Water Association. 190 (2020)."},"language":[{"iso":"eng"}],"date_created":"2024-12-08T20:19:54Z","volume":190,"publication_status":"published","_id":"12231","article_number":"116681","publication":"Water research : a journal of the International Water Association","doi":"10.1016/j.watres.2020.116681","date_updated":"2024-12-09T11:24:12Z","quality_controlled":"1","type":"scientific_journal_article","publisher":"Elsevier BV","extern":"1","keyword":["Winter diatom bloom","High frequency monitoring","Lake modeling","Light limitation","Temperature"],"abstract":[{"text":"In temperate lakes, it is generally assumed that light rather than temperature constrains phytoplankton growth in winter. Rapid winter warming and increasing observations of winter blooms warrant more investigation of these controls. We investigated the mechanisms regulating a massive winter diatom bloom in a temperate lake. High frequency data and process-based lake modeling demonstrated that phytoplankton growth in winter was dually controlled by light and temperature, rather than by light alone. Water temperature played a further indirect role in initiating the bloom through ice-thaw, which increased light exposure. The bloom was ultimately terminated by silicon limitation and sedimentation. These mechanisms differ from those typically responsible for spring diatom blooms and contributed to the high peak biomass. Our findings show that phytoplankton growth in winter is more sensitive to temperature, and consequently to climate change, than previously assumed. This has implications for nutrient cycling and seasonal succession of lake phytoplankton communities. The present study exemplifies the strength in integrating data analysis with different temporal resolutions and lake modeling. The new lake ecological model serves as an effective tool in analyzing and predicting winter phytoplankton dynamics for temperate lakes.","lang":"eng"}],"user_id":"83781","year":"2020","department":[{"_id":"DEP8022"}],"status":"public"},{"has_accepted_license":"1","title":"IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\& Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4","place":"Lemgo","citation":{"ufg":"<b>Schrewe, Manuela (2018)</b>: IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4, Lemgo.","chicago-de":"Schrewe, Manuela. 2018. <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","short":"M. Schrewe, IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4, Hochschule Ostwestfalen-Lippe, Lemgo, 2018.","mla":"Schrewe, Manuela. <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Hochschule Ostwestfalen-Lippe, 2018.","apa":"Schrewe, M. (2018). <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","havard":"M. Schrewe, IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4, Hochschule Ostwestfalen-Lippe, Lemgo, 2018.","chicago":"Schrewe, Manuela. <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Lemgo: Hochschule Ostwestfalen-Lippe, 2018.","bjps":"<b>Schrewe M</b> (2018) <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Schrewe, Manuela</span>: <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Lemgo : Hochschule Ostwestfalen-Lippe, 2018","ama":"Schrewe M. <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Lemgo: Hochschule Ostwestfalen-Lippe; 2018.","van":"Schrewe M. IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4. Lemgo: Hochschule Ostwestfalen-Lippe; 2018. 81 p.","ieee":"M. Schrewe, <i>IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \\&#38; Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4</i>. Lemgo: Hochschule Ostwestfalen-Lippe, 2018."},"date_created":"2019-03-12T12:15:56Z","language":[{"iso":"ger"}],"publication_status":"published","author":[{"full_name":"Schrewe, Manuela","last_name":"Schrewe","id":"55575","first_name":"Manuela"}],"ddc":["770"],"_id":"705","date_updated":"2023-03-15T13:50:09Z","file_date_updated":"2019-03-18T13:13:11Z","publisher":"Hochschule Ostwestfalen-Lippe","type":"bachelor_thesis","supervisor":[{"full_name":"Kaboth, Peter","last_name":"Kaboth","id":"11179","first_name":"Peter"},{"first_name":"Martin","full_name":"Engeleit, Martin","last_name":"Engeleit","id":"51995"}],"page":"81","file":[{"date_created":"2019-03-12T12:17:40Z","file_size":12589200,"file_id":"706","creator":"czr-e2t","access_level":"closed","date_updated":"2019-03-18T13:13:11Z","relation":"main_file","content_type":"application/pdf","file_name":"IJÓMA_BA_Ausarbeitung_Schrewe.pdf"}],"keyword":["3D Modeling","Character Design","Concept Art","Spiel","Unreal Engine 4"],"status":"public","year":2018,"user_id":"74004","department":[{"_id":"DEP2001"}]},{"date_updated":"2024-03-22T13:19:02Z","issue":"1","related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","relation":"contains"}]},"editor":[{"first_name":"Elio","last_name":"Padoano","full_name":"Padoano, Elio"},{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer","id":"14290"}],"type":"conference","conference":{"name":"7th International Conference on Production Engineering and Management","end_date":"2017-09-29","start_date":"2017-09-28","location":"Pordenone, Italy"},"page":"3-12","abstract":[{"lang":"eng","text":"Additive Manufacturing (AM) is increasingly used to design new products. This is possible due to the further development of the AM-processes and materials. The lack of quality assurance of AM built parts is a key technological barrier that prevents manufacturers from adopting. The quality of an additive manufactured part is influenced by more than 50 parameters, which make process control difficult. Current research deals with using real time monitoring of the melt pool as feedback control for laser power. This paper illustrates challenges and opportunities of applying statistical predictive modeling and unsupervised learning to control additive manufacturing. In particular, an approach how to build a feedforward controller will be discussed."}],"keyword":["Additive manufacturing","Process control","Predictive modeling","Predictive control"],"status":"public","department":[{"_id":"DEP1306"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"user_id":"83781","year":"2017","title":"Quality Control of Additive Manufacturing Using Statistical Prediction Models","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","open_access":"1"}],"date_created":"2019-02-18T11:34:36Z","language":[{"iso":"eng"}],"volume":2017,"publication_status":"published","place":"Lemgo","citation":{"chicago":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.” In <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>, edited by Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 2017:3–12.   Publication Series in Direct Digital Manufacturing . Lemgo, 2017.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Ahlemeyer-Stubbe, Andrea</span>: Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> ; <span style=\"font-variant:small-caps;\">Hochschule Ostwestfalen-Lippe</span> (Hrsg.): <i>  Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i>, <i>  Publication series in direct digital manufacturing </i>. Bd. 2017. Lemgo, 2017, S. 3–12","bjps":"<b>Scheideler E and Ahlemeyer-Stubbe A</b> (2017) Quality Control of Additive Manufacturing Using Statistical Prediction Models. In Padoano E et al. (eds), <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>, vol. 2017. Lemgo, pp. 3–12.","ama":"Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>. Vol 2017.   Publication series in direct digital manufacturing . ; 2017:3-12.","van":"Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors.   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy . Lemgo; 2017. p. 3–12. (  Publication series in direct digital manufacturing ; vol. 2017).","ieee":"E. Scheideler and A. Ahlemeyer-Stubbe, “Quality Control of Additive Manufacturing Using Statistical Prediction Models,” in <i>  Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i>, Pordenone, Italy, 2017, vol. 2017, no. 1, pp. 3–12.","chicago-de":"Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2017. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: <i>  Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i>, hg. von Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 2017:3–12.   Publication series in direct digital manufacturing . Lemgo.","ufg":"<b>Scheideler, Eva/Ahlemeyer-Stubbe, Andrea</b>: Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: <i>Padoano, Elio u. a. (Hgg.)</i>:   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , Bd. 2017, Lemgo 2017 (  Publication series in direct digital manufacturing ),  S. 3–12.","mla":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.” <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>, edited by Elio Padoano et al., vol. 2017, no. 1, 2017, pp. 3–12.","apa":"Scheideler, E., &#38; Ahlemeyer-Stubbe, A. (2017). Quality Control of Additive Manufacturing Using Statistical Prediction Models. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, &#38; Hochschule Ostwestfalen-Lippe (Eds.), <i>  Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i> (Vol. 2017, Issue 1, pp. 3–12).","short":"E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017, pp. 3–12.","havard":"E. Scheideler, A. Ahlemeyer-Stubbe, Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017: pp. 3–12."},"publication_identifier":{"isbn":["978-3-946856-01-6"]},"intvolume":"      2017","author":[{"first_name":"Eva","full_name":"Scheideler, Eva","id":"61522","last_name":"Scheideler"},{"last_name":"Ahlemeyer-Stubbe","full_name":"Ahlemeyer-Stubbe, Andrea","first_name":"Andrea"}],"oa":"1","_id":"580","publication":"\t Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy ","series_title":"\t Publication series in direct digital manufacturing "},{"publisher":"Elsevier BV","type":"scientific_journal_article","date_updated":"2024-12-09T10:04:30Z","doi":"10.1016/j.earscirev.2016.08.008","quality_controlled":"1","status":"public","user_id":"83781","year":"2016","department":[{"_id":"DEP8022"}],"abstract":[{"lang":"eng","text":"Hutchinson and Löffler's (1956) classification of lakes based on the seasonal thermal mixing regime has become a cornerstone of any analysis of lakes as elements of the earth surface. Until now however the lake classification has lacked a physically sound quantitative criterion distinguishing between two fundamental lake types: thermally stratified during a large portion of the year (mono- and dimictic) and predominantly mixed to the bottom (polymictic). Using the mechanistic balance between potential and kinetic energy we review the different formulations of the Richardson number to derive a generalized scaling for seasonal stratification in a closed lake basin. The scaling parameter is the critical mean basin depth, Hcrit, that delineates lakes that mix regularly from those that stratify seasonally based on lake water transparency, lake length, and an annual mean estimate for the Monin-Obukhov length. We validate the scaling on available data of lakes worldwide using logistic regression. The scaling criterion consistently described the mixing regime significantly better than either the conventional unbounded basin scaling or a simple depth threshold. Thus, the generalized scaling is universal for freshwater lakes and allows the seasonal mixing regime to be estimated without numerically solving the heat transport equations."}],"page":"179-190","extern":"1","keyword":["Richardson number","Lake classification","Seasonal stratification","Dimixis","Polymixis","Water transparency","Lake databases","Lake modeling","Secchi depth"],"citation":{"van":"Kirillin G, Shatwell T. Generalized scaling of seasonal thermal stratification in lakes. Earth-Science Reviews. 2016;161:179–90.","ama":"Kirillin G, Shatwell T. Generalized scaling of seasonal thermal stratification in lakes. <i>Earth-Science Reviews</i>. 2016;161:179-190. doi:<a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">10.1016/j.earscirev.2016.08.008</a>","ieee":"G. Kirillin and T. Shatwell, “Generalized scaling of seasonal thermal stratification in lakes,” <i>Earth-Science Reviews</i>, vol. 161, pp. 179–190, 2016, doi: <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">10.1016/j.earscirev.2016.08.008</a>.","chicago":"Kirillin, G., and Tom Shatwell. “Generalized Scaling of Seasonal Thermal Stratification in Lakes.” <i>Earth-Science Reviews</i> 161 (2016): 179–90. <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">https://doi.org/10.1016/j.earscirev.2016.08.008</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Kirillin, G.</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span>: Generalized scaling of seasonal thermal stratification in lakes. In: <i>Earth-Science Reviews</i> Bd. 161, Elsevier BV (2016), S. 179–190","bjps":"<b>Kirillin G and Shatwell T</b> (2016) Generalized Scaling of Seasonal Thermal Stratification in Lakes. <i>Earth-Science Reviews</i> <b>161</b>, 179–190.","havard":"G. Kirillin, T. Shatwell, Generalized scaling of seasonal thermal stratification in lakes, Earth-Science Reviews. 161 (2016) 179–190.","chicago-de":"Kirillin, G. und Tom Shatwell. 2016. Generalized scaling of seasonal thermal stratification in lakes. <i>Earth-Science Reviews</i> 161: 179–190. doi:<a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">10.1016/j.earscirev.2016.08.008</a>, .","ufg":"<b>Kirillin, G./Shatwell, Tom</b>: Generalized scaling of seasonal thermal stratification in lakes, in: <i>Earth-Science Reviews</i> 161 (2016),  S. 179–190.","apa":"Kirillin, G., &#38; Shatwell, T. (2016). Generalized scaling of seasonal thermal stratification in lakes. <i>Earth-Science Reviews</i>, <i>161</i>, 179–190. <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">https://doi.org/10.1016/j.earscirev.2016.08.008</a>","mla":"Kirillin, G., and Tom Shatwell. “Generalized Scaling of Seasonal Thermal Stratification in Lakes.” <i>Earth-Science Reviews</i>, vol. 161, 2016, pp. 179–90, <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">https://doi.org/10.1016/j.earscirev.2016.08.008</a>.","short":"G. Kirillin, T. Shatwell, Earth-Science Reviews 161 (2016) 179–190."},"language":[{"iso":"eng"}],"date_created":"2024-12-08T20:35:50Z","volume":161,"publication_status":"published","intvolume":"       161","author":[{"last_name":"Kirillin","full_name":"Kirillin, G.","first_name":"G."},{"first_name":"Tom","last_name":"Shatwell","id":"86424","full_name":"Shatwell, Tom","orcid":"0000-0002-4520-7916"}],"publication_identifier":{"issn":["0012-8252"]},"main_file_link":[{"url":"https://doi.org/10.1016/j.earscirev.2016.08.008"}],"title":"Generalized scaling of seasonal thermal stratification in lakes","publication":"Earth-Science Reviews","_id":"12242"},{"publication":"Animal Cell Biotechnology","series_title":"Methods in Molecular Biology ","_id":"2394","date_created":"2020-05-19T14:45:43Z","language":[{"iso":"eng"}],"volume":1104,"publication_status":"published","place":"Totowa, NJ","citation":{"ieee":"B. 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A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. 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Seed Train Optimization for Cell Culture. In: <i>Animal Cell Biotechnology - Methods and Protocols</i>, hg. von Ralf Pörtner, 1104:355–367. 3. Aufl. Methods in Molecular Biology. Totowa, NJ: Humana Press. doi:<a href=\"https://doi.org/10.1007/978-1-62703-733-4_22\">10.1007/978-1-62703-733-4_22</a>, .","chicago":"Frahm, Björn. “Seed Train Optimization for Cell Culture.” In <i>Animal Cell Biotechnology - Methods and Protocols</i>, edited by Ralf Pörtner, 3rd ed., 1104:355–67. Methods in Molecular Biology. Totowa, NJ: Humana Press, 2013. <a href=\"https://doi.org/10.1007/978-1-62703-733-4_22\">https://doi.org/10.1007/978-1-62703-733-4_22</a>.","short":"B. Frahm, in: R. Pörtner (Ed.), Animal Cell Biotechnology - Methods and Protocols, 3rd ed., Humana Press, Totowa, NJ, 2013, pp. 355–367.","bjps":"<b>Frahm B</b> (2013) Seed Train Optimization for Cell Culture. In Pörtner R (ed.), <i>Animal Cell Biotechnology - Methods and Protocols</i>, 3rd ed., vol. 1104. 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Totowa, NJ : Humana Press, 2013, S. 355–367","ama":"Frahm B. Seed Train Optimization for Cell Culture. In: Pörtner R, ed. <i>Animal Cell Biotechnology - Methods and Protocols</i>. Vol 1104. 3rd ed. Methods in Molecular Biology. Humana Press; 2013:355-367. doi:<a href=\"https://doi.org/10.1007/978-1-62703-733-4_22\">10.1007/978-1-62703-733-4_22</a>","van":"Frahm B. Seed Train Optimization for Cell Culture. In: Pörtner R, editor. Animal Cell Biotechnology - Methods and Protocols. 3rd ed. Totowa, NJ: Humana Press; 2013. p. 355–67. (Methods in Molecular Biology; vol. 1104).","havard":"B. Frahm, Seed Train Optimization for Cell Culture, in: R. Pörtner (Ed.), Animal Cell Biotechnology - Methods and Protocols, 3rd ed., Humana Press, Totowa, NJ, 2013: pp. 355–367.","ieee":"B. Frahm, “Seed Train Optimization for Cell Culture,” in <i>Animal Cell Biotechnology - Methods and Protocols</i>, 3rd ed., vol. 1104, R. Pörtner, Ed. 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A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines."}],"department":[{"_id":"DEP4000"}],"user_id":"83781","year":"2013","status":"public"}]