Das Projekt B1 'Allometrie und Raumbesetzung von krautigen und holzigen Pflanzen' ist Teil des Sonderforschungsbereiches 607 Wachstum und Parasitenabwehr und befindet sich bereits in der vierten Phase des seit 1998 laufenden Forschungsprojektes. Bisher wurde im Projekt B1 die Allometrie als Resultat der pflanzeninternen Steuerung der Allokation untersucht. Auf Individuenebene wurden Allometrie und ihre Veränderung für verschiedene Baumarten in verschiedenen ontogenetischen Stadien untersucht. Auf Bestandesebene wurden die self-thinning-Linien von Yoda und Reineke für krautige bzw. holzige Pflanzenbestände analysiert. Bisherige Allometriebestimmungen erbrachten für diese Arten zwar ähnliche Größenordnung aber auch charakteristische Unterschiede, die Ausdruck spezifischer Strategien der Raumbesetzung und -ausbeutung widerspiegeln. Die bisher vereinzelten Auswertungen sollen in Phase IV in eine übergreifende Analyse (versch. Arten, ontogenetische Stadien, Konkurrenzsituationen, Störfaktoren) der Allometrie auf Pflanzen- und Bestandesebene münden.
Die Erkennung von Veränderungen der Landbedeckung der Erdoberfläche auf der Basis von satellitengestützten Fernerkundungsdaten ist seit Jahrzehnten ein sehr aktives Forschungsfeld. Das Ziel des Landschaftsveränderungsdiensts ist es, freie Copernicus-Satellitendaten für eine automatische Ableitung von Landbedeckungsänderungen zu nutzen und diese Informationen regelmäßig für einzelne Landschaftselemente (z.B. für Waldgebiete, Wasserflächen, Landwirtschaftsflächen usw.) über einen Web Service bereitzustellen. Copernicus Daten eignen sich aufgrund der hohen zeitlichen (ca. 3-5 Tage, je nach Sensor) und mittleren räumlichen Auflösung (ab 10m) ideal für eine regelmäßige bundesweite flächendeckende Analyse der Landbedeckung. Um eine hohe Bearbeitungsleistung zu erreichen wird die 'Copernicus Data and Exploitation Platform - Deutschland' (CODE-DE) für die Datenverarbeitung und -analyse genutzt. Es können aktuelle und konsistenteste Informationen über Landdeckungsänderungen abgeleitet werden, um kontinuierlich Geodaten in einer einheitlichen Qualität zu pflegen (siehe Abbildung 1). Andererseits können die gewonnenen Informationen genutzt werden, um statistisch relevante Geoinformationen zur quantitativen Beschreibung der UN-SDG-Indikatoren zu extrahieren. Die 2015 verabschiedete Agenda 2030 mit 17 Entwicklungszielen (SDG) und 169 Unterzielen verknüpft das Prinzip der Nachhaltigkeit mit der ökonomischen, ökologischen und sozialen Entwicklung. Die Umsetzung erfordert einen soliden Überprüfungsmechanismus. Dieser soll durch eine regemäßige nationale Erfassung von ca. 200 definierten UN-SDG-Indikatoren erfolgen, mit dem Ziel Fortschritte zu monitoren und die Politik zu informieren.
The aim of the current research is to identify regional sources and trans-boundary flow leading to the observed salinity of Lake Tiberias (LT) -also known as the Sea of Galilee or Lake Kinneret-, and its surroundings, which is considered the only natural surface fresh water reservoir of the area. The current study will include all sources of brines in the Tiberias Basin (TB) with specific emphasis of the relationship between the brines from the Ha'on and Tiberias Regions (HTR).The tasks will be achieved by a multidisciplinary approach involving: (i) numerical modelling of density-driven flow processes (i.e., coupled heat and dissolution of evaporites), (ii) hydrochemical studies, supplemented by investigations of subsurface structures.(i) Numerical modelling will be carried out by applying the commercial software FEFLOW® (WASY, GmbH) complemented with the open source code OpenGeoSys developed at the UFZ of Leipzig (Wang et al., 2009). The final goal is to build a 3D regional-scale model of density-driven flow that will result in: (1) revealing the different interactions between fresh groundwater and natural salinity sources (2) elucidate the driving mechanisms of natural brines and brackish water body's movements.(ii) Hydrochemical study will include major, minor and, if possible, rare earth elements (REE) as well as isotope studies. The samples will be analysed at the FU Berlin and UFZ Halle laboratories. Geochemical data interpretation and inverse modelling will be supported by PHREEQC. Hydrochemical field investigations will be carried out in Tiberias basin and its enclosing heights, i.e. the Golan, Eastern Galilee and northern Ajloun in order to search for indications of the presence of deep, relic saline groundwater infested by the inferred Ha'on mother-brine. The current approaches will be supplemented by seismic and statistical data analysis as well as GIS software applications for the definition of the subsurface structures. The key research challenges are: building a 3D structural model of selected regions of TB, adapting both structural and hydrochemical data to the numerical requirements of the model; calibrating the 3D regional-scale model with observational data. The results of this work are expected to establish suitable water-management strategies for the exploitation of freshwater from the lake and from the adjacent aquifers while reducing salinization processes induced by both local and regional brines.
The COMTES project has as goal to develop and demonstrate three novel systems for compact seasonal storage of solar thermal energy. These systems will contribute to the EU 20-20-20 targets by covering a larger share of the domestic energy demand with solar thermal energy. Main objective of COMTES is to develop and demonstrate systems for seasonal storage that are significantly better than water based systems. The three technologies are covered in COMTES by three parallel development lines: solid sorption, liquid sorption and supercooling PCM. Strength of this approach is the collaboration of three development groups in activities that pertain to the analyses, methods and techniques that concern all technologies, without risking the exchange of confidential material. In this way, the development is much more effective than in three separate projects. The project starts with a definition of system boundary conditions and target applications. Next comes the investigation of the best available storage materials. Detailed numerical modelling of the physical processes, backed by experimental validations, will lead to optimum component design. Full-scale prototypes are simulated, constructed and tested in the laboratory in order to optimize process design. One year of fully monitored operation in demonstration buildings is followed by an integrated evaluation of the systems and their potential. When deemed successful, the involved industry partners will pick up the developed storage concepts and bring them further to a commercial level. The COMTES project is a cooperation of key scientific institutions active in the above mentioned heat storage technologies. For the first time, all relevant research disciplines are covered in an international effort. For each development line, a top-Ieading industry partner contributes its know-how and experience, providing the basis for further industrial development and exploitation of project results.
The proposed RTN adopts a unified approach to a unique sainfoin (Onobrychis viciifolia) collection. It will provide excellent training for young researchers in evaluating traditional resources and developing novel strategies for sustainable agriculture. This is timely because of the pending CAP reforms. The RTN will offer multisectorial and multidisciplinary training at 12 first-class research institutions and 3 SMEs in 11 countries. It is based on a structured combination of research and training activities to ensure that the young researchers will achieve optimal development of professional skills for their future careers . The young researchers will greatly benefit from the vast expertise in a wide range of disciplines amongst the partners: agronomy, plant breeding, seed production and marketing, animal nutrition, veterinary science, chemical analysis, biochemistry, genetics and molecular biology. The scientific approach will develop a scientific and technical basis for animal feeding systems based on lower chemical inputs by re-popularising traditional fodder legumes for more efficient, animal- and environment-friendly farming systems. Sainfoin will be a showcase for an excellent fodder legume, which was widely grown in Europe before the use of commercial fertilisers and synthetic drugs. Currently, a considerable amount of research occurs on sainfoin but includes only a few cultivars. This prevents exploitation of its full genetic potential. The unique collection already available within this network and a concerted evaluation will lay the foundation for exploiting the full potential of this traditional forage crop in contemporary cultivation systems. Training will consist of extensive scientific education on a local and network-wide basis and include complementary skills, e.g. foreign languages, personal, social and inter-cultural skills (management skills and soft skills). The proposed RTN adopts a unified approach to a unique sainfoin (Onobrychis viciifolia) collection. It will provide excellent training for young researchers in evaluating traditional resources and developing novel strategies for sustainable agriculture. This is timely because of the pending CAP reforms. The RTN will offer multisectorial and multidisciplinary training at 12 first-class research institutions and 3 SMEs in 11 countries. It is based on a structured combination of research and training activities to ensure that the young researchers will achieve optimal development of professional skills for their future careers . The young researchers will greatly benefit from the vast expertise in a wide range of disciplines amongst the partners: agronomy, plant breeding, seed production and marketing, animal nutrition, veterinary science, chemical analysis, biochemistry, genetics and molecular biology...
The major problems regarding biomass combustion are still the NOx and CO emissions, especially when the fuel becomes more diverse (high peaks during transients). The continuously changing fuel composition, the non-linearity of the process and the multi variability of the process makes it difficult to decrease the emissions further. Therefore classical control strategies are no longer effective. In order to improve the actual process control system, advanced control technologies based upon process models are needed. To achieve this goal static models have to be integrated with dynamic models. At present, no satisfying tools are available to describe the NOx formation in the fuel layer and the gas phase. Therefore, an extensive study on fuel layer and gas phase NOx formation mechanisms will be performed. The developed mechanisms will be integrated in a CFD combustion model and a static fuel layer model in order to be able to minimise the CO and NOx emission. Based upon experimental work and plant data, a new grate will be designed. A dynamic furnace model is developed for biomass combustion. Special measurements techniques will be used to gather actual plant data (2 plants, diverse fuels) to validate the models. The stochastic characteristics of the fuel will be revealed, which is used together with the dynamic model to investigate the disturbance rejection capacity of the plant. All information will be used to develop new control concepts and to design new combustion systems also from a dynamic point of view. These will be tested in an installation. The environmental survey of the influence of the proposed technology, a market analysis, information dissemination and exploitation strategies will be carried out.
The current use of Life Cycle Inventories (LCI) for energy system modelling and planning is limited by two main factors: lack of harmonisation and transparency in the methodology used in LCA studies lack of updated public database on emerging technologies, in particular on new and decentralised renewable electricity generation systems. The general objective of the project is to overcome these limitations. More specifically the goal is to provide potential users with a coherent methodological framework, including application-dependent methodological guidelines and data format requirements related to the quantification of environmental impacts from new and decentralised power systems in Europe based on a life cycle approach, a harmonised set of public, coherent, transparent and updated LCI data on new and decentralised power systems, in a format which will make them comparable to existing data of other energy technologies, easily adaptable to local conditions and technological improvement and up-datable. Project results will increase the credibility, diffusion and exploitation of LCI as a support tool for energy-environment-economy modelling (like ExternE), energy planning as well as for other uses. The work is subdivided in four workpackages plus a general workpackage for the project management.
GLORIA combines a Michelson interferometer with a detector array of 128 x 128 pixels and will be the first 2D infrared limb imaging spectrometer worldwide. It is designed for HALO and will measure the distribution of temperature and a considerable number of trace constituents along with cloud mapping with unprecedented spatial resolution in the free troposphere and lower stratosphere. It is an essential contribution to the HALO demo missions TACTS, POLSTRACC, and CIRRUS-RS. Imaging Fourier transform spectrometers impose a number of challenges with respect to instrument calibration / characterisation and for algorithm development. The work of the first proposal focused on characterisation and modeling of the instrument and on the development of methods and algorithms which are capable of generating calibrated spectra with high accuracy. Accurately calibrated spectra are a prerequisite for the retrieval of atmospheric parameters and the scientific data exploitation. Within this renewal proposal the developed characterisation methods will be applied to the instrument in flight configuration, and the new algorithms will be used to generate highly accurate calibrated spectra from the raw interferograms measured during the HALO demo missions. The work will be completed by a thorough error analysis for the calibrated spectra. Finally, instrument settings, calibration scenario and data processing shall be optimised with respect to data quality. This proposal contributes to the development of high technology sensors and instruments for the use on HALO.
The European project initiative TRUST will produce knowledge and guidance to support TRansitions to Urban Water Services of Tomorrow, enabling communities to achieve sustainable, low-carbon water futures without compromising service quality. We deliver this ambition through close collaboration with problem owners in ten participating pilot city regions under changing and challenging conditions in Europe and Africa. Our work provides research driven innovations in governance, modelling concepts, technologies, decision support tools, and novel approaches to integrated water, energy, and infrastructure asset management. An extended understanding of the performance of contemporary urban water services will allow detailed exploration of transition pathways. Urban water cycle analysis will include use of an innovative systems metabolism model, derivation of key performance indicators, risk assessment, as well as broad stakeholder involvement and an analysis of public perceptions and governance modes. A number of emerging technologies in water supply, waste and storm water treatment and disposal, in water demand management and in the exploitation of alternative water sources will be analysed in terms of their cost-effectiveness, performance, safety and sustainability. Cross-cutting issues include innovations in urban asset management and water-energy nexus strengthening. The most promising interventions will be demonstrated and legitimised in the urban water systems of the ten participating pilot city regions. TRUST outcomes will be incorporated into planning guidelines and decision support tools, will be subject to life-cycle assessment, and be shaped by regulatory considerations as well as potential environmental, economic and social impacts. Outputs from the project will catalyse transformation change in both the form and management of urban water services and give utilities increased confidence to specify innovative solutions to a range of pressing challenges.
ARROWS proposes to adapt and develop low cost autonomous underwater vehicle technologies to significantly reduce the cost of archaeological operations, covering the full extent of archaeological campaign. Benefiting from the significant investments already made for military security and offshore oil and gas applications, the project aims to demonstrate an illustrative portfolio of mapping, diagnosis and excavation tasks. ARROWS approach is to identify the archaeologists requirements in all phases of the campaign, identify problems and propose technological solutions with the technological readiness levels that predict their maturation for exploitation within 3-5 years. The individual technologies are then developed during the course of the project using agile development method comprising rapid cycles of testing and comparison against the end user requirements. To ensure the wide exploitability of the results the requirements are defined and the solutions are tested in two historically significant but environmentally very different contexts, in The Mediterranean Sea and in The Baltic Sea. Both immediate, low risk and long term, high risk developments will be pursued. In particular: - Fast a low cost horizontal surveys of large areas using customised AUVs with multimodal sensing. - Fast and low cost semi-automated data analysing tools for site and object relocation - High quality maps from better image reconstruction methods and better localization abilities of AUVs. - Shipwreck penetration and internal mapping using small low cost vehicles localising using fixed pingers. - Soft excavation tool for diagnosis and excavation of fragile objects. - Mixed reality environments for virtual exploration of archaeological sites. - Monitoring of changes via back-to-the-site missions. The ARROWS consortium comprises expertise from underwater archaeology, underwater engineering, robotics, image processing and recognition from academia and industry.
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