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- KonferenzbeitragWaterFrame® A Software Framework for the Development of WFD-oriented Water Information Systems(Managing Environmental Knowledge, 2006) Schmid, Holger; Usländer, ThomasIn Europe, the development of Environmental Information Systems for the water domain is mainly influenced by the requirements of the European Water Framework Directive (WFD). The WFD is a fundamental rethink of the EU water policy aiming at sharing water data across administrative borders. Its implementation therefore is also a challenge for the supporting WFD-specific information management. As the WFD by itself includes concrete IT recommendations only on a very high-level of data exchange, regional and/or national environmental agencies still have to build or adapt their information systems according to their specific requirements. On this background, the present article introduces the software framework WaterFrame® – designed by Fraunhofer IITB – that supports the development of WFD-oriented water information systems. The selected features described are illustrated by practical examples taken from projects already powered by WaterFrame®. The paper presents the two WaterFrame® installations WAABIS Grundwasser, installed in the German federal state of Baden-Wuerttemberg, and FIS Gewässer (German Free State of Thuringia). The results of using WaterFrame® as a development platform are twofold: On the one hand, development time and costs can be significantly reduced, on the other hand the generated systems are widely integrative, i. e. further development of one of them can be adopted within others with little effort and low costs.
- KonferenzbeitragInformation System for Implementing the European Directive on Environmental Noise in Bavaria(Managing Environmental Knowledge, 2006) Briesen, Marcus; Lukacs, Gergely; Hofmann, Claus; Leibold-Strobl, Thomas; Brand, JĂĽrgenThe European directive relating to the assessment and management of environmental noise prescribes an integrative, comprehensive approach to assessing and reducing environmental noise and its harmful effects. In this paper, the Bavarian implementation of the directive is described. The Bavarian State Agency for Environment Protection is responsible for the implementation of the law. It is setting up a central database, integrating related source data and the result of acoustic calculations and numeric models. The contents, the technical solutions of the data management, the applications and the evaluation scenarios are presented.
- KonferenzbeitragOnline Glossaries in Support of Efficient Risk Communication for Inter- and Transdisciplinary Water Resources Management(Managing Environmental Knowledge, 2006) Kämpf, Charlotte; Müller, Marc; Baake, Ken; Thringer, Jürgen
- KonferenzbeitragECOInformatics Initiative(Managing Environmental Knowledge, 2006) Fitzwater, Larry; Jensen, Stefan; Stanners, David; Sonntag, William
- KonferenzbeitragCatalogue Services Enabling Syntactical and Semantic Interoperability in Environmental Risk Management Architectures(Managing Environmental Knowledge, 2006) Hilbring, Desiree; Usländer, ThomasThis paper is discussing the role of generic catalogue services for environmental risk management architectures based on a two-step architectural approach of the European Integrated Project ORCHESTRA (http://www.euorchestra.org). ORCHESTRA is defining an Open Architecture and Spatial Data Infrastructure for Risk Management based on and extending the relevant ISO, Open Geospatial Consortium (OGC) and W3C Standards. Two important topics are examined: 1) the functional requirements for a catalogue in a service-oriented architecture including possibilities for semantic discovery and query, and 2) the role of current well-known standards like UDDI or the OGC Catalogue Specification. Both of these standards have to be supported to gain acceptance in the respective markets. However, they also comprise constraints and lead to additional requirements for generic catalogue services. As a result, the ORCHESTRA solution approach for a generic abstract specification of a catalogue service is presented. The paper concludes with an outlook that the abstract catalogue service specification will be mapped to several catalogue service implementations based on W3C Web Services and including concepts of the Semantic Web that will be demonstrated in multi-national risk management pilots of the ORCHESTRA project.
- KonferenzbeitragSolving Waste Management Data Uncertainties Case Study of South Moravian Region(Managing Environmental Knowledge, 2006) Hejc, Michal; Hrebicek, JiriImprecision of input data is an important characteristic feature of environmental monitoring. When making evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal mistake. The main task of information and communication technology (ICT) is to deal with the primary data uncertainty and thus to reduce the risk of mistake. At present new approaches and methodologies to handle data uncertainty are explored as opposite to standard. This paper presents comparison of such new approach against standard one in the case study of the assessment of waste management indicators in the South Moravian Region of the Czech Republic. The new approach brings more modular way of dealing with uncertainty and is supposed to bring better results and less workload then standard approach.
- KonferenzbeitragA Data Mining Tool for the Analysis of Epidemiological Data(Managing Environmental Knowledge, 2006) Vlachogiannis, Diamando; Sfetsos, AthanasiosThe present paper introduces an integrated approach based on statistical analysis coupled with data mining to analyse epidemiological data. Initially, the statistical properties of the data are analysed. The causality of the exogenous variables (e.g. meteorological and air quality) on the epidemiological data through the Granger causality test is estimated in an attempt to identify those variables that explain major variations. Those variables that are estimated as important are subsequently binned into a finite number of categories as a pre-processing step for the data mining algorithm. The epidemiological and meteorological data are grouped into 5 categories, were as for the air quality parameters the Air Quality Index introduced by U.S. EPA is utilised. Then an algorithm to estimate association rules from the categorised data is developed and applied. The outcomes of the analysis are patterns that relate meteorological and air quality characteristics to specific epidemiological conditions and appear systematically on the examined data set. The application of the developed methodology is performed using data from two major U.S. cities, namely Los Angeles and Pittsburgh.
- KonferenzbeitragFinding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms(Managing Environmental Knowledge, 2006) Pavlovic, Jan; Hrebicek, JiriThis paper will present a new way of finding the optimal solution of energetic remedial process, which comes as a result of optimization of energetic equations. The new artificial computation engine based on genetic algorithms which are commonly used for optimization in general has proved suitable for this problem domain as well. However, we developed solutions describing energetic equations from another point of view. They show the hidden characteristics which are not always easy to specify. Genetic algorithms often demand huge amount of computer time. We had to design a specific type of a distributed service oriented solution to meet the demands of computing and integration to the existing software environment3.
- KonferenzbeitragApplication of a GIS-based Groundwater Vulnerability Assessment in a Participatory Process(Managing Environmental Knowledge, 2006) Berkhoff, Karin
- KonferenzbeitragEnvironmental Modelling with Uncertainty(Managing Environmental Knowledge, 2006) Hrebicek, Jiri; Hejc, MichalThe characteristic feature of current environmental modelling is the complexity and uncertainty of its mathematical representation (uncertainty of formula). Imprecision of its input data is another characteristic feature, where it is not possible to omit influences of primary monitoring (e.g. gaps of data, errors of measuring facilities, human factor, etc). Nowadays, information and communication technology (ICT) capabilities are growing rapidly and applied mathematical software (e.g. computer algebra systems, statistical packages, etc) becomes more powerful to overcome problems with formula complexity and uncertainty. The basic methods how to deal with the data uncertainties are well known and standardized from the last century, but some of their comparisons and recommendations for environmental modelling are not known enough. Paper presents generalized approach and shows universal methodology how to use computer algebra based systems (CAS) for the implementation of mathematical models with formula and data uncertainties. The Checkland’s soft system methodology is modified for its use by CAS in environmental modelling with uncertainty. Various approaches for solving uncertainty with the computer algebra system Maple are presented. The modified model COPERT III with included uncertainty was developed in Maple and some results of the case study for the transport influence and all the related air pollution in the Czech Republic are presented.