600 Technik, Medizin, angewandte Wissenschaften
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This bachelor thesis addresses the issue of how school resilience can be measured and assessed quantitatively. Schools as social infrastructures have a significant value for society. Yet, on a global scale, they, and therefore the respective community as well, are continuously endangered by a variety of threats such as natural disasters or violence and mental abuse affecting students, parents and school staff. However, these threats differ greatly depending on climatic and geographical conditions as well as on the socio-cultural context of the corresponding community. To strengthen school resilience against potential threats and to ensure education continuity despite the occurrence of these disruptions, a methodology is developed to measure and assess school resilience in conjunction with its specific circumstances. Initially, qualitative and quantitative (composite) indicators are identified and categorised with the help of a Systematic Literature Review and Mayring's Qualitative Content Analysis. These are subsequently developed into a Comprehensive Index for School Resilience (CISR). Building on this, a pre-existing assessment methodology, which uses Likert-Scales arranged in questionnaires to assign quantitative values to the composite indicators, is adapted to operationalise the CISR and by an exemplary application at Europaschule Troisdorf, the methodology is adapted to the socio-cultural conditions in Germany using an expert’s operational and contextual knowledge. The results obtained show that the methodologies and techniques described in current international research can, after an appropriate adaptation, successfully be applied to schools in Germany as well. Nevertheless, by identifying research limitations and errors as well as potential improvements, it is evident that further research and development is needed to provide stakeholders with a decision-making tool to strengthen the resilience of schools in the future, such as an exhaustive supplement to the CISR or the integration of more precise quantification methodologies and techniques.
The purpose of this article is to analyze the specific success factors of start-ups and to examine their phase dependency. Based on a literature study, 13 start-up-specific success factors from three categories (founders, situational occurrence, strategy) are identified and examined for their influence and phase dependency. For this purpose, 54 employees of successful german start-ups are asked how strongly they assess the influence of the respective success factor and in which phase (pre-foundation, foundation, growth) it has the strongest effect. The results show that the hypotheses derived from the theory are confirmed to a very large extent by the study.
Der anthropogene Klimawandel hat neben anhaltenden Dürren und verstärkt auftretenden Extremwetterereignissen auch die Ansiedlung neuer Arten in Deutschland zur Folge. Da die
Landwirtschaft eine kritische Infrastruktur darstellt, ist es notwendig, die potentielle Verbreitung neuer Schädlinge zu untersuchen, um potentielle Gefahren für die Landwirtschaft frühzeitig zu identifizieren. Nur so können rechtzeitig Handlungsbedarfe erkannt sowie Konzepte und Maßnahmen zum Schutz der kritischen Infrastruktur Landwirtschaft entwickelt werden. Es wird daher untersucht, ob Feldheuschrecken im Zuge des Klimawandels eine Gefahr für die deutsche Landwirtschaft darstellen können. Die Arbeit ist somit insbesondere für Akteure aus dem landwirtschaftlichen Sektor und dem Bevölkerungsschutz von Interesse. Betrachtet werden sechs Szenarien, die sich aus der der Kombination der drei Repräsentativen Konzentrationspfaden RCP2.6, RCP4.5 und RCP8.5 sowie den beiden Betrachtungszeiträumen 2021 – 2050 und 2071 – 2100 ergeben. Die entsprechenden Klimadaten werden aus dem Projekt Euro-CORDEX bezogen. Mit der Software CLIMEX wird die mögliche Verbreitung von Calliptamus italicus, Dociostaurus maroccanus und Locusta migratoria für 20 Standorte in Deutschland in den sechs Szenarien modelliert. Mit QGIS wird die betroffene Landwirtschaftsfläche auf Basis der CORINE Landnutzungsdaten ermittelt. Darüber hinaus werden im Juni und Juli 2021 vier Interviews mit Expert:innen der Bereiche Klimawandel/-anpassung, Orthopterologie/Entomologie und Landwirtschaft durchgeführt. Die Untersuchung zeigt, dass C. italicus sich in Deutschland stark verbreiten wird, D. maroccanus und L. migratoria sind nur geringfügig vertreten. Heuschreckenschwärme können potentiell pflanzliche Erzeugnisse auf etwa 10 – 25 % der landwirtschaftlichen Fläche bedrohen, ihr Auftreten ist allerdings unwahrscheinlich. Es ist daher von einem geringen Gefahrenpotential von Feldheuschrecken für die deutsche Landwirtschaft auszugehen. Die Modellierung ist auf klimatische Bedingungen begrenzt. Die berechneten Flächen sind mit Abweichungen behaftet, deren Ursprung ungeklärt ist. Trotz dieser Einschränkungen ist die Arbeit wegweisend für zukünftige Forschung und die Entwicklung von Handlungsstrategien. So wird die Entwicklung von Konzepten zur Prävention und Intervention für den Fall einer Heu- schreckeninvasion empfohlen. Ein aktives Biomonitoring größerer, nicht bewirtschafteter Flächen ist essenziell, um mögliche Massenvermehrungen frühzeitig festzustellen. Zusätzlich sollten Schwarmbildungen im Ausland und mögliche Migrationsrouten nach Deutschland untersucht werden.
Schlüsselbegriffe: Landwirtschaftliche Gefahr, Schädling, Klimawandel, Klimawirkung, Heuschrecken, CLIMEX, Species Distribution Model, Expert:inneninterview
Based on the idea of sustainable development, the BioTrade principles and criteria (P&C), based on the idea of sustainable development, have been the essential core guiding the implementation of BioTrade activities since their inception by UNCTAD in 2007. However, after identifying that BioTrade of medicinal plants causes negative impacts on the traditional knowledge related to these plants, the P&C were evaluated in light of the most relevant international agreements that contribute to the safeguarding of this knowledge. The result obtained from the assessment showed that the P&C present many gaps that prevent evaluating the real impact of trade on the traditional knowledge of medicinal plants in Indigenous and local communities. Therefore, in the same framework of the current P&C, the main recommendations contained in the international agreements and the suggestions of specialists in the field have been gathered to create a BioTrade standard that contributes to safeguarding traditional medicinal plant knowledge within a commercial context in any BioTrade initiative where the commercialized product is a sacred or native plant with traditional and cultural value for a community.
Floods are a known natural hazard in Germany, but the amount of precipitation and ensuing high death toll and damages after the events especially from 14 to 15 July 2021 came as a surprise. Almost immediately questions about failure in the early warning chains and the effectiveness of the German response emerged, also internationally. This article presents lessons to learn and argues against a blame culture. The findings are based on comparisons with findings from previous research projects carried out in the Rhein-Erft Kreis and the city of Cologne, as well as on discussions with operational relief forces after the 2021 events. The main disaster aspects of the 2021 flood are related to issuing and understanding warnings, a lack of information and data exchange, unfolding upon a situation of an ongoing pandemic and aggravated further by critical infrastructure failure. Increasing frequencies of flash floods and other extremes due to climate change are just one side of the transformation and challenge, Germany and neighbouring countries are facing. The vulnerability paradox also heavily contributes to it; German society became increasingly vulnerable to failure due to an increased dependency on its infrastructure and emergency system, and the ensuing expectations of the public for a perfect system.
In the literature, many studies outline the advantages of agrivoltaic (APV) systems from different viewpoints: optimized land use, productivity gain in both the energy and water sector, economic benefits, etc. A holistic analysis of an APV system is needed to understand its full advantages. For this purpose, a case study farm size of 0.15 ha has been chosen as a reference farm at a village in Niger, West Africa. Altogether four farming cases are considered. They are traditional rain-fed, irrigated with diesel-powered pumps, irrigated with solar pumps, and the APV system. The APV system is further analyzed under two scenarios: benefits to investors and combined benefits to investors and farmers. An economic feasibility analysis model is developed. Different economic indicators are used to present the results: gross margin, farm profit, benefit-cost ratio, and net present value (NPV). All the economic indicators obtained for the solar-powered irrigation system were positive, whereas all those for the diesel-powered system were negative. Additionally, the diesel system will emit annually about 4005 kg CO2 to irrigate the chosen reference farm. The land equivalent ratio (LER) was obtained at 1.33 and 1.13 for two cases of shading-induced yield loss excluded and included, respectively.
This investigation attempts to understand the eco‐hydrology of, and accordingly suggest an option to manage floodwater for agriculture in, the understudied and data‐sparse ephemeral Baraka River Basin within the hyper‐arid region of Sudan. Reference is made to the major feature of the basin, that is, the Toker Delta spate irrigation scheme. A point‐to‐pixel comparison of gridded and ground‐based data sets is performed to enhance the estimates of rainfall. Analysis of remotely sensed land use/cover data is performed. The results show a significant reduction of the grassland and barren areas explained by a significant expansion of the cropland and open shrubland (invasive mesquite trees) areas in the delta. The cotton sown area is highly dependent on the flooded area and the discharge volume in the delta. However, the area of this major crop has declined since the early 1990s in favour of cultivation of more profitable food crops. Expansion of mesquite in the delta is problematic, taking hold under increased floodwater, and can only be manged by clearance to provide crop cultivation area. There is a great potential for floodwater harvesting during the rainfall season (June to September). A total seasonal runoff volume of around 4.6 and 10.8 billion cubic metres is estimated at 90 and 50% probabilities of exceedance (reliabilities), respectively. Rather than leaving the runoff generated from rainfall events to pass to the Red Sea or be consumed by mesquite trees, a location for runoff harvesting structure in a highly suitable area is proposed. Such a structure will support any policy shifts towards planning and managing the basin water resources for use in irrigating the agricultural scheme.
Water shortage and a rising water demand are prevalent issues on the political agenda worldwide. Available water resources must not only be provided to ensure a domestic and drinking water supply for a steadily increasing population but also for the growing industrial and agricultural sectors. This work outlines how the use of the innovative vacuum multi‐effect membrane distillation contributes to improve the water management efficiency in the following key industry sectors: desalination, drinking water and beverage industry, pharmaceutical, agro and chemical as well as oil and gas industry.
Wärme‐ und Kältespeicher von Gebäuden beruhen auf verschiedenen Konzepten der Wärmeübertragung. Bei thermischen Hybridspeichern befindet sich das Phasen-wechselmaterial (PCM) makroverkapselt in PCM‐Objekten, die im Speicherbehälter positioniert sind und vom Wärmeträgerfluid umströmt werden. Die experimentellen Untersuchungen widmen sich den Belade‐ und Entladeeigenschaften des in Kugeln makroverkapselten PCM. Es wird gezeigt, dass die spezifische Wärmeübertragungs-leistung eines Hybridspeichers unmittelbar von der Größe der Kugeln als auch von der spezifischen Wärmeleitfähigkeit des PCM abhängt.
Eine gängige Form der Qualitätskontrolle von Quellcode sind Code Reviews. Der Fokus von Code Reviews liegt allerdings oft auf syntaktischer Analyse, wodurch weniger Zeit für eine semantische Überprüfung bleibt und zusätzliche Kosten verursacht werden. Code Reviews lassen sich zwar teilweise durch "Linter" automatisieren, dennoch können sie nur syntaktische Fehlermuster identifizieren, welche vorher definiert wurden. Zudem kann ein Linter nur darauf hinweisen, dass möglicherweise ein Fehler vorliegt, da die Fehler nicht durch logische Inferenz ermittelt werden. Die vorliegende Arbeit prüft, ob ein Deep Learning Modell den regelbasierten Ansatz von Lintern ablösen und die semantische Ebene erschließen kann. Dazu wurde eine Stichprobe von Java Methoden zusammengestellt und im Anschluss mit einem Supervised Learning Ansatz binär klassifiziert. Da die Analyse von Quellcode der Textanalyse stark ähnelt wird ein gängiger Ansatz für Textklassifikation verwendet. Dadurch kann gezeigt werden, dass eine Präzision von 85% bei der Erkennung von Quellcodeproblemen durch Deep Learning möglich ist.