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Conceptual patterns for water resources information systems
Keywords:
analysis patterns, conceptual model, waterAbstract
Water Resources Information Systems (WRIS) present different types of problems during the data storage and analysis phases, related with the complex nature of the environmental data spacio-temporal phenomena. There are many questions to deal with, such as geographic representation of environmental variables, large time- series management,measurements and observations related with different hydrologic phenomena recording and the integration of simulations models to information systems. Conceptual models allow us to understand and simplify problems in a specific domain. These problems can be expressed through analysis patterns, which reflect conceptual structures of an application domain speeding up the development of the abstract analysis model. This model will be able to capture the main requirements from real world problems. This type of patterns, are used in the present paper to define conceptual microarchitectures that allow the appropriate representation of environmental information in WRIS. Accordingly, the physic domain environmental objects are initially identified and an architecture style is defined, allowing this way the integration of WRIS with another interacting systems. The representation of the hydrological phenomena spatial component, is made by means of the conceptual Framework GeoFrame specialization.
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References
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[2] Appleton B., Patterns and Software: Essential Concepts and Terminology. Página Web: www.enteract.com/~bradapp/, 2000
[3] Beven K., Rainfall-Runoff Modelling. Wiley, 2000
[4] Blind M., Adrichem B., Generic Framework Water: An open modelling system for efficient model linking in integrated water management - current status Paper presented at the 4th International Eurosim 2001 congress “Shaping Future with Simulation”.
[5] Booch G., Jacobson I., Rumbaugh J., The Unified Modeling Language Addison-Wesley Publications, 1998
[6] Buschmann, F.; Meunier, R.; Rohnert, H.; Sommerlad, P. and Stal, M., Pattern-Oriented Software Architecture: A system of patterns. New York: John Wiley & Sons, 1996.
[7] Fedra K., Integrated Environmental Information Systems: from data to information. In: N.B. Harmancioglu, M.N. Alpaslan, S.D.Ozkul, and V.P. Singh [eds.]: Integrated Approach to Environmental Data Management Systems, 367-378. Kluwer, Dordrecht., 1997
[8] Fowler, M., Analysis patterns: reusable object models. Menlo Park: Addison Wesley Longman, 1997
[9] Fowler M., Patterns for things that change with time. Fowler Web Page, 2001
[10] Gamma E. H., Design Patterns. Elements of Reusable OO Software Addison-Wesley, 1997
[11] Gordillo S. Tesis de Magister en Ingeniería de Software, UNLP. Modelización de campos continuos en Sistemas de Información Geográfica, 1998
[12] Günther O., Environmental Information Systems. Springer-Verlag, Berlín, Germany, 1998
[13] Jacobson I., Booch G., Rumbaugh J. The Unified Software Development Process Addison-Wesley Publications, 1999
[14] Lisboa J., Iochpe C., Beard K., Applying Analysis Patterns in the GIS Domain Presented at the 10th Colloquium of the Spatial Information Research Centre, University of Otago, New Zealand, November 1998.
[15] Lisboa J., Iochpe C Specifying Analysis Patterns for Geographic Databases on the basis of a conceptual framework., 2000
[16] Monroe R., Kompanek D., Melton R. and Garlan D. Stylized Architecture, Design Patterns, and Objects, 1996
[17] Souza C. A framework for cooperating diagrams editor based in anotation. Unicamp 1998. Master Thesis.
[18] Urciuolo A., Iturraspe R. Microarquitecturas de Diseño OO para Modelos hidrológicos. Jornadas Universitarias de Informática, Congreso del Nuevo Cuyo, Octubre de 2001, San Juan.
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Published
2003-04-01
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How to Cite
[1]
“Conceptual patterns for water resources information systems”, JCS&T, vol. 3, no. 01, pp. p. 20–26, Apr. 2003, Accessed: Feb. 07, 2026. [Online]. Available: https://journal.info.unlp.edu.ar/JCST/article/view/948
