Das Wassergütemessnetz 2 (WGMN2) stellt im Rahmen der nationalen und internationalen Meldepflichten aktuelle Daten der interessierten Öffentlichkeit zur Verfügung. Bürger, Schulen und Behörden haben ein reges Interesse an den Daten des WGMN. Deshalb werden die Daten in sechs stationären Gewässergütemessstationen im Zehn-Minuten-Takt aktualisiert. So stehen die erhobenen Parameter in Echtzeit zur Verfügung. Hierbei werden physikalische, hydrologische, meteorologische und biologische Messgrößen erfasst, die eine dynamische Sicht auf die Gewässerbeschaffenheit ermöglichen. Die Messstationen sind an ausgewählten Standorten an der Elbe, Havel, Teltowkanal, Oder und Neiße positioniert. Die Gewässergütemessstationen sind Bestandteil langfristig konzipierter Sanierungsmaßnahmen und dienen dem Nachweis der Gewässergüte und ihrer zeitlichen Veränderung im Rahmen von international abgestimmten Mess- und Untersuchungsprogrammen, der aktuellen Gewässerüberwachung (Warndienste), der Beweissicherung und der Gewinnung von wasserwirtschaftlichen Informationen. Das WGMN trägt dazu bei, dass Auswirkungen von Störfällen bei Industriebetrieben oder von Schiffsunglücken zeitnah ermittelt und zügig Maßnahmen ergriffen werden können. Aber auch kleinere Verunreinigungen wie illegal entsorgtes Altöl vom Auto fallen durch die Messungen schnell auf. Mit der Erkennung von akuten Verschmutzungen und dem Erfassen langfristiger Trends dient das WGMN auch dazu, entsprechende Forderungen der Europäischen Wasserrahmenrichtlinie in Brandenburg umzusetzen. Hier können alle Datensätze abgerufen werden. Derzeit werden die Messwerte im Netz als Grafiken dargestellt.
Das Projekt "European Network on New Sensing Technologies for Air-Pollution Control and Environmental Sustainability (EuNetAir)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: Max-Planck-Institut für Biogeochemie.The main objective of the Action is to develop new sensing technologies for Air Quality Control at integrated and multidisciplinary scale by coordinated research on nanomaterials, sensor-systems, air-quality modelling and standardised methods for supporting environmental sustainability with a special focus on Small and Medium Enterprises. ABSTRACT AND KEYWORDS: This Action will focus on a new detection paradigm based on sensing technologies at low cost for Air Quality Control (AQC) and set up an interdisciplinary top-level coordinated network to define innovative approaches in sensor nanomaterials, gas sensors and devices, wireless sensor-systems, distributed computing, methods, models, standards and protocols for environmental sustainability within the European Research Area (ERA). The state-of-the-art showed that research on innovative sensing technologies for AQC based on advanced chemical sensors and sensor-systems at low-cost, including functional materials and nanotechnologies for eco-sustainability applications, the outdoor/indoor environment control, olfactometry, air-quality modelling, chemical weather forecasting, and related standardisation methods is performed already at the international level, but still needs serious efforts for coordination to boost new sensing paradigms for research and innovation. Only a close multidisciplinary cooperation will ensure cleaner air in Europe and reduced negative effects on human health for future generations in smart cities, efficient management of green buildings at low CO2 emissions, and sustainable economic development. The objective of the Action is to create a cooperative network to explore new sensing technologies for low-cost air-pollution control through field studies and laboratory experiments to transfer the results into preventive real-time control practises and global sustainability for monitoring climate changes and outdoor/indoor energy efficiency. Establishment of such a European network, involving Non-COST key-experts, will enable EU to develop world capabilities in urban sensor technology based on cost-effective nanomaterials and contribute to form a critical mass of researchers suitable for cooperation in science and technology, including training and education, to coordinate outstanding R&D and promote innovation towards industry, and support policy-makers.
Der Hochpräzise Echtzeit Positionierungs-Service SAPOS-HEPS dient der satellitengestützten Positionsbestimmung mit einer Genauigkeit von 1 - 2 cm (Lage) und 2 - 5 cm (Höhe). Der Dienst stellt Beobachtungsdaten (Code und Trägerphase) von vier GNSS-Systemen (GPS, GLONASS, Galileo, BeiDou) zur Verfügung. Die Übertragung erfolgt durch Datenstreaming via Internet (Ntrip).
Der Echtzeit Positionierungs-Service SAPOS-EPS dient der satellitengestützten Positionsbestimmung mit einer Genauigkeit von 0,3 bis 0,8 Meter. Der Dienst stellt Korrekturen und Änderungsraten für die Code-Beobachtungen von GPS- und GLONASS-Satelliten im Format RTCM 2.3 (Radio Technical Commission for Maritime Services) zur Verfügung. Die Übertragung erfolgt durch Datenstreaming via Internet (Ntrip).
Das Projekt "Schwerpunktprogramm (SPP) 1167: Quantitative Niederschlagsvorhersage, Data Assimilation and Ensemble Modelling for the Improvement of Short Range Quantitative Precipitation Forecasts (DAQUA)" wird/wurde gefördert durch: Deutsche Forschungsgemeinschaft. Es wird/wurde ausgeführt durch: Rheinische Friedrich-Wilhelms-Universität Bonn, Meteorologisches Institut.We propose the improvement of short range quantitative precipitation forecasting by regional high resolution weather forecast models. We will combine improved regional ensemble modelling with best member selection based on the most recent remote sensing information, with further broadening and narrowing of the distribution by a new evolutionary approach, followed by improved data assimilation and further forecast integration. The former step will introduce a Monte Carlo technique to invert a highly nonlinear and critically discontinuous microphysical problem in a novel way in cloud and rain assimilation. Physical initialisation techniques, nudging techniques and variational approaches with the most timely available information from remote sensing including Radar reflectivities, cloud parameters, and water vapour content will be employed. With this stacked procedure we expect to substantially reduce the influence of phase errors in the background field, which currently impede the successful assimilation of observations for short range precipitation forecasting by regional numerical weather forecast models. The project will establish an advanced capability for ensemble forecasting in the German research community. Validation efforts will explore and quantify the sources of uncertainty in forecasts especially under convective conditions. The differing requirements for the forecasting System under different meteorological conditions will be explored in the first instance by examining a set of case studies of convective storms in environments with orography of varying degrees of steepness. Some of the case studies will be orientated around the likely location of the field experiment, to aid in planning of the operations and to prepare for real-time forecasting.
Das Projekt "Floating sensorised networked robots for water monitoring (HYDRONET)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: Universitari e di Perfezionamento Sant Anna, Scuola Superiore di Studi.Objective: Water is one of our most precious and valuable resources. It is important to determine how to fairly use, protect and preserve water. New strategies and new technologies are needed to assess the chemical and ecological status of water bodies and to improve the water quality and quantity. The relatively recent progress in micro-electronics and micro-fabrication technologies has allowed a miniaturization of sensors and devices, opening a series of new exciting possibilities for water monitoring. Moreover, robotics and advanced ICTbased technology can dramatically improve detection and prediction of risk/crisis situations, providing new tools for the global management of the water resources. The HydroNet proposal is aimed at designing, developing and testing a new technological platform for improving the monitoring of water bodies based on a network of autonomous, floating and sensorised mini-robots, embedded in an Ambient Intelligence infrastructure. Chemo- and bio-sensors, embedded in the mobile robots will be developed and used for monitoring in real time physical parameters and pollutants in water bodies. Enhanced mathematical models will be developed for simulating the pollutants transport and processes in rivers, lakes and sea. The unmanaged, self-assembling and self-powered wireless infrastructure, with an ever-decreasing cost per unit, will really support decisional bodies and system integrators in managing water bodies resources. The robots and sensors will be part of an Ambient Intelligence platform, which will integrate not only sensors for water monitoring and robot tasks execution, but also communications backhaul systems, databases technologies, knowledge discovery in databases (KDD) processes for extracting and increasing knowledge on water management. Following the computation on stored data, feedback will be sent back to human actors (supervisors, decision makers, industrial people, etc.) and/or artificial actuators, in order to perform actions.
Das Projekt "Improving the verification of non-CO2 greenhouse gas emissions in Europe by the Rn-222 tracer method" wird/wurde gefördert durch: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung. Es wird/wurde ausgeführt durch: Universität Basel, Department Umweltwissenschaften, Humangeographie , Stadt- und Regionalforschung.Non-CO2 greenhouse gases (CH4, N2O, SF6, halocarbons) are responsible for 37 Prozent of the anthropogenic contribution to global warming. Some of these gases (N2O, SF6, chlorinated and brominated halocarbons) are in addition destructive to the stratospheric ozone layer. Regional emission estimates of non-CO2 greenhouse gases are currently much more uncertain than for CO2. Mostly, they are based on 'bottom-up' approaches relying on inventories of known sources and expected emission functions. The 222Rn flux map of Europe produced in the preceding project permits today a more reliable real-world assessment by the 222Rn tracer method, a so-called 'top-down' approach. In previous studies, source strength of 222Rn has been a major uncertainty. Substantial reduction of uncertainty has been achieved so far and further improvements are aimed for in the present project. Future improvements include in particular a better temporal resolution of the 222Rn flux map. Current developments within the EU-driven European Radiological Data Exchange Platform (EURDEP) open the possibility for quasi real-time updates of the European 222Rn source term. The source strength of 222Rn is a key parameter for estimating the source strength of any gas of interest, based on concentration differences observed in the atmospheric boundary layer over time in both, the gas of interest and 222Rn. There are two ways to obtain concentration differences over time. One is during pollution events at otherwise remote 'background' stations. This approach is followed in an associated project at Jungfraujoch (main applicant: Stefan Reimann, EMPA), where we will contribute the 222Rn related parameters. The other approach is to obtain concentration differences during changes in mixing layer height as observed during nocturnal inversions. This aproach will be applied to the measurement of non-CO2 greenhouse gases in the central part of Eastern Europe (Hungary). Emissions from this region just east of the Alpine Ridge are highly uncertain and can not be detected at Jungfraujoch using the first approach.
Das Projekt "FP6-SUSTDEV, Integrated Observations from Near Shore Sources of Tsunamis: Towards an Early Warning System (NEAREST)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: Stiftung Alfred-Wegener-Institut für Polar- und Meeresforschung e.V. in der Helmholtz-Gemeinschaft (AWI).NEAREST is addressed to the identification and characterisation of large potential tsunami sources located near shore in the Gulf of Cadiz; the improvement of near real-time detection of signals by a multiparameter seafloor observatory for the characterisation of potential tsunamigenic sources to be used in the development of an Early Warning System (EWS) Prototype; the improvement of integrated numerical models enabling more accurate scenarios of tsunami impact and the production of accurate inundation maps in selected areas of the Algarve (SW Portugal), highly hit by the 1755 tsunamis. In this area, highly populated and prone to devastating earthquakes and tsunamis, excellent geological/geophysical knowledge has already been acquired in the last decade. The methodological approach will be based on the cross-checking of multiparameter time series acquired on land by seismic and tide gauge stations, on the seafloor and in the water column by broad band Ocean Bottom Seismometers and a multiparameter deep-sea platform this latter equipped with real-time communication to an onshore warning centre. Land and sea data will be integrated to be used in a prototype of EWS. NEAREST will search for sedimentological evidences of tsunamis records to improve or knowledge on the recurrence time for extreme events and will try to measure the key parameters for the comprehension of the tsunami generation mechanisms. The proposed method can be extended to other near-shore potential tsunamigenic sources, as for instance the Central Mediterranean (Western Ionian Sea), Aegean Arc and Marmara Sea. Prime Contractor: Consiglio Nazionale delle Ricerche CNR; Roma; Italy.
Das Projekt "FP6-SUSTDEV, SEismic and tsunami risk Assessment and mitigation scenarios in the western HELLenic ARC (SEAHELLARC)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: GEOPRO Gesellschaft für geophysikalische Untersuchungen mbH.The western part of the Hellenic Arc, between Pirgos and Pylos, western Peloponnese, has been repeatedly affected by large magnitude earthquakes that have caused severe destruction and human loss. Some of the largest regional tsunamis in the Mediterranean Sea have also been reported in association with large earthquakes, affecting remote coastal areas, whereas many other earthquakes have caused local but strong tsunami waves. This part of Greece, with its extensive coastal zones, is economically important for its touristic and agriculture activities. Despite the significant progress in construction and earthquake engineering standards, the population growth and extensive urbanization have caused the risk from earthquakes to increase significantly during the recent years. Also a large number of the existing buildings were constructed before the introduction of Greece's first building code of 1959, and are therefore very vulnerable. This situation requires urgent solutions for an effective risk management and mitigation plan. AIM of this proposal is to establish a real-time on/offshore network for simultaneous seismic and tsunami observations in the coastal zones of western Peloponnese. We will consider onshore/offshore observations and integrate offshore real-time data transmission stations in the permanent seismograph network of Greece. Such technology is still missing in Greece or elsewhere in the Mediterranean countries. By observing seismicity in real-time, early warning scenarios will be considered and their possible application will be proposed to local authorities. As a final step, we will provide a pilot study for Pylos and create a GIS database for seismic and tsunami risk and mitigation scenarios. Prime Contractor: Hellenic Centre for Marine Research; Anavissos; Greece.
Das Projekt "FP6-SUSTDEV, Tsunami Risk ANd Strategies For the European Region (TRANSFER)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum.The project main goal is to contribute to our understanding of tsunami processes in the Euro-Mediterranean region, to the tsunami hazard and risk assessment and to identifying the best strategies for reduction of tsunami risk. Focus will be posed on the gaps and needs for the implementation of an efficient tsunami early warning system (TEWS) in the Euro- Mediterranean area, which is a high-priority task in consideration that no tsunami early warning system is today in place in the Euro-Mediterranean countries. The main items addressed by the project may be summarised as follows. The present Europe tsunami catalogue will be improved and updated, and integrated into a world-wide catalogue (WP1). A systematic attempt will be made to identify and to characterise the tsunamigenic seismic (WP2) and non-seismic (WP3) sources throughout the Euro-Mediterranean region. An analysis of the present-day earth observing and monitoring (seismic, geodetic and marine) systems and data processing methods will be carried out in order to identify possible adjustments required for the development of a TEWS, with focus on new algorithms suited for real-time detection of tsunami sources and tsunamis (WP4). The numerical models currently used for tsunami simulations will be improved mainly to better handle the generation process and the tsunami impact at the coast (WP5). The project Consortium has selected ten test areas in different countries. Here innovative probabilistic and statistical approaches for tsunami hazard assessment (WP6), up-to-date and new methods to compute inundation maps (WP7) will be applied. Here tsunami scenario approaches will be envisaged; vulnerability and risk will be assessed; prevention and mitigation measures will be defined also by the advise of end users that are organised in an End User Group (WP8). Dissemination of data, techniques and products will be a priority of the project (WP9). Prime Contractor: Alma Mater Studiorum-Universita di Bologna; Bologna, Italy.