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Ökologisch orientierte Planung umreisst ein komplexes Geschehen, für das fundiertes (natur)wissenschaftliches Grundverständnis, Kreativität und die Fähigkeit, Planung als Kommunikationsprozess zu gestalten, gleichermaßen notwendig sind. Das Buch gibt einen komprimierten Überblick über die wesentlichen Instrumente und Verfahrensweisen. Für die Erfassung, Analyse, Prognose und Bewertung des Naturhaushalts und des Landschaftsbildes sowie für die Darstellung der Auswirkungen von Raumnutzungen bis hin zur Nachkontrolle stellen die Autoren unterschiedliche Verfahrensweisen und Methoden vor. Für jeden Bereich werden die theoretischen Grundlagen angesprochen, gängige Methodenbausteine erläutert und in ihrer Anwendung auf die Schutzgüter bzw. Raumnutzungen exemplarisch verdeutlicht.
Impacts of agricultural land use on the environment are various and do not contribute to modifications of the ecology of central European landscapes. They do not only cause a progressive reduction of the number of plant ans animal specis typical for central Europe. Ever since the increasing intensification of farming, from the application of large amounts of fertilizers and pesticides to the use of increasingly larger machinery and progressive specialization there has also been an increase of other, hitherto little noticed environmental impacts. Heavy machinery and cultivation during disadvantageous weather will provoke soil compaction. Unvarying crop rotation systems and plouging of terrain too steep for it will increase water erosion. Due to groundwater lowering former peat lands are increasingly prone to desiccation and thus extremely susceptible to wind erosion. High rates of fertilizer application contiuously increase the risk of nitrate eluviation into the groundwater. These hazards are explained and measures of reduction are shown. The latter are indeed compatible with the aims of intensive farming but with less negative consequences for the environment. Above all they make sure that future generations will be able to continue farming the agricultural lands of central Europe that have been under cultivation for thousands of years.
RailChain
(2023)
The RailChain project designed, implemented, and experimentally evaluated a juridical recorder that is based on a distributed consensus protocol. That juridical blockchain recorder has been realized as distributed ledger on board the advanced TrainLab (ICE-TD 605 017) of Deutsche Bahn.
For the project, a consortium consisting of DB Systel, Siemens, Siemens Mobility, the Hasso Plattner Institute for Digital Engineering, Technische Universität Braunschweig, TÜV Rheinland InterTraffic, and Spherity has been formed. These partners not only concentrated competencies in railway operation, computer science, regulation, and approval, but also combined experiences from industry, research from academia, and enthusiasm from startups.
Distributed ledger technologies (DLTs) define distributed databases and express a digital protocol for transactions between business partners without the need for a trusted intermediary. The implementation of a blockchain with real-time requirements for the local network of a railway system (e.g., interlocking or train) allows to log data in the distributed system verifiably in real-time. For this, railway-specific assumptions can be leveraged to make modifications to standard blockchains protocols.
EULYNX and OCORA (Open CCS On-board Reference Architecture) are parts of a future European reference architecture for control command and signalling (CCS, Reference CCS Architecture – RCA). Both architectural concepts outline heterogeneous IT systems with components from multiple manufacturers. Such systems introduce novel challenges for the approved and safety-relevant CCS of railways which were considered neither for road-side nor for on-board systems so far. Logging implementations, such as the common juridical recorder on vehicles, can no longer be realized as a central component of a single manufacturer. All centralized approaches are in question.
The research project RailChain is funded by the mFUND program and gives practical evidence that distributed consensus protocols are a proper means to immutably (for legal purposes) store state information of many system components from multiple manufacturers. The results of RailChain have been published, prototypically implemented, and experimentally evaluated in large-scale field tests on the advanced TrainLab. At the same time, the project showed how RailChain can be integrated into the road-side and on-board architecture given by OCORA and EULYNX.
Logged data can now be analysed sooner and also their trustworthiness is being increased. This enables, e.g., auditable predictive maintenance, because it is ensured that data is authentic and unmodified at any point in time.
Large-scale flood risk assessments are crucial for decision making, especially with respect to new flood defense schemes, adaptation planning and estimating insurance premiums. We apply the process-based Regional Flood Model (RFM) to simulate a 5000-year flood event catalog for all major catchments in Germany and derive risk curves based on the losses per economic sector. The RFM uses a continuous process simulation including a multisite, multivariate weather generator, a hydrological model considering heterogeneous catchment processes, a coupled 1D-2D hydrodynamic model considering dike overtopping and hinterland storage, spatially explicit sector-wise exposure data and empirical multi-variable loss models calibrated for Germany. For all components, uncertainties in the data and models are estimated. We estimate the median Expected Annual Damage (EAD) and Value at Risk at 99.5% confidence for Germany to be euro0.529 bn and euro8.865 bn, respectively. The commercial sector dominates by making about 60% of the total risk, followed by the residential sector. The agriculture sector gets affected by small return period floods and only contributes to less than 3% to the total risk. The overall EAD is comparable to other large-scale estimates. However, the estimation of losses for specific return periods is substantially improved. The spatial consistency of the risk estimates avoids the large overestimation of losses for rare events that is common in other large-scale assessments with homogeneous return periods. Thus, the process-based, spatially consistent flood risk assessment by RFM is an important step forward and will serve as a benchmark for future German-wide flood risk assessments.