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Early warning systems for floods and storm surges currently are based exclusively on water level fore-casts. Other loads such as wind, waves, currents or heavy rainfalls as well as the resistance of the flood protection structure itself (e. g. dikes, flood protection walls) are not considered. If they occur simultaneously, the flood protection stru...
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... Sämtliche relevante Daten (z. B. räumliche Sensordaten, numerische Vorhersagen etc.) sind in eine Sensor-und Geodateninfrastruktur (SSDI) integriert, die den Zugriff auf alle Daten ermöglicht (Becker et al. 2016, Krebs et al. 2017, Herle et al. 2018. ...
Today’s available flood- respectively storm surge warning systems for the German North Sea coast consist exclusively of water level forecasts. Other hydrodynamic loads caused by wind waves and local currents as well as the resistance of the flood protection structure itself (e. g. coastal dikes, flood protection walls etc.) are not taken into account. Therefore, a prototype for an operational now- and forecast system (in the following called pre-operational forecast system) for waves and wave induced hydrodynamic loads is set up that consists of available field measurements and data from numerical wave simulations in the German Bight. A hybrid model approach is used for the forecast of hydrodynamic loads on sea dikes. The approach combines numerical results from the phase integrated spectral wave forecast model (SWAN) and empirical approaches (e. g. EurOtop) as well as field measurements for the now- and forecast of average wave run-up heights at a sea dike on the North Frisian Island of Pellworm. The operational system is demonstrated exemplarily for the forecast of selected storm surges during the past decade (e. g. “XAVER”, 5 6th December 2013) and the forecast quality is assessed on the basis of available field measurements. The RMSE (root mean square error) of the average wave run-up heights (Ru2%) at the dike ranges between 3 % and 7 % (0,16−0,34 m) and corresponds to the uncertainty of the calculated average wave run-up heights based on measured local wave parameters.
... deformation, soil temperature and humidity inside the dike) and numerical model data (e.g. forecasts of local water levels and waves) into a sensor and spatial data infrastructure (SSDI) which enables open access to all relevant data (Becker et al., 2016). The system will be used to generate in time warnings and provide reliable and robust realtime data for decision makers that are available within a GeoPortal to support disaster prevention and management. ...
... In the following sections of this paper, the operational forecast of waves and wave run-up as one part of the early warning system is exemplarily shown and discussed. For more details about the sensor-and risk based early warning system and the integration of all relevant data, the reader is referred to Becker et al. (2016) and Krebs et al. (2017). ...
... deformation, soil temperature and humidity inside the dike) and numerical model data (e.g. forecasts of local water levels and waves) into a sensor and spatial data infrastructure (SSDI) which enables open access to all relevant data (Becker et al., 2016). ...
The knowledge of the wave-induced hydrodynamic loads on coastal dikes including their temporal and spatial resolution on the dike in combination with actual water levels is of crucial importance of any risk-based early warning system. As a basis for the assessment of the wave-induced hydrodynamic loads, an operational wave now- and forecast system is set up that consists of i) available field measurements from the federal and local authorities and ii) data from numerical simulation of waves in the German Bight using the SWAN wave model. In this study, results of the hindcast of deep water wave conditions during the winter storm on 5–6 December, 2013 (German name ‘Xaver’) are shown and compared with available measurements. Moreover field measurements of wave run-up from the local authorities at a sea dike on the German North Sea Island of Pellworm are presented and compared against calculated wave run-up using the EurOtop (2016) approach.
... Such geoportals are i.e. Geothermie in NRW 5 , GEOportal.NRW 6 and the geoportal used for the SDI of EarlyDike (Becker et al., 2016). Increasingly, they are implemented in an INSPIRE compliant manner. ...
The exploitation of shallow geothermal energy is challenging
with respect to planning, dimensioning and
approval procedures. All of these processes, as well
as the achievable prediction accuracy, significantly depend
on the data consistency. To reduce the complexity,
all necessary data should be gathered in one
database, serving as a tool in which the prementioned
processes can be performed. This paper presents
the geothermal information system GeTIS. It provides
geothermal-related information that is needed
by house owners, engineers and public authorities.
Furthermore, it provides 3D subsurface and building
performance simulations up to city district scale
as well as plug-ins for the simulation tool FEFLOW.
The used methods and standards are described and
preliminary results of a practice-orientated dimensioning
of a geothermal plant are presented.
Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling, acquiring, sharing, managing, exploring, analyzing, synthesizing, visualizing, and evaluating data on spatio-temporal phenomena related to the Earth. As an interdisciplinary scientific discipline, it focuses on developing and adapting information technologies to understand processes on the Earth and human-place interactions, to detect and predict trends and patterns in the observed data, and to support decision making. The authors – members of DGK, the Geoinformatics division, as part of the Committee on Geodesy of the Bavarian Academy of Sciences and Humanities, representing geodetic research and university teaching in Germany – have prepared this paper as a means to point out future research questions and directions in geospatial information science. For the different facets of geospatial information science, the state of art is presented and underlined with mostly own case studies. The paper thus illustrates which contributions the German GI community makes and which research perspectives arise in geospatial information science. The paper further demonstrates that GI science, with its expertise in data acquisition and interpretation, information modeling and management, integration, decision support, visualization, and dissemination, can help solve many of the grand challenges facing society today and in the future.
