HESSD Hydrology and Earth System Sciences Discussions HESSD Hydrol. Earth Syst. Sci. Discuss. 1812-2116 Göttingen, Germany 10.5194/hessd-4-1999-2007 Knowledge-based approaches for river basin management Mikulecký P. 1 Olševičová K. 1 Ponce D. 1 Faculty of Informatics and Management, University of Hradec Králové, Rokitanského 62, Hradec Králové 500 03, Czech Republic 29 06 2007 4 3 1999 2033 Copyright: © 2007 P. Mikulecký et al. 2007 This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic License. To view a copy of this licence, visit https://creativecommons.org/licenses/by-nc-sa/2.5/ This article is available from https://hess.copernicus.org/preprints/4/1999/2007/hessd-4-1999-2007.html The full text article is available as a PDF file from https://hess.copernicus.org/preprints/4/1999/2007/hessd-4-1999-2007.pdf

Rare attempts to use knowledge technologies and other relevant approaches are found in the river basin management. Some applications of expert systems as well as utilization of soft computing techniques (as neural networks or genetic algorithms) are known in an experimental level. Knowledge management approaches still have not been used at all. In this paper we discuss knowledge-based approaches in the river basin management as a difficult yet important direction which could be proven to be helpful. We summarize the research done in the scope of the AQUIN project, one of first Czech knowledge management projects in the river basin management. The project was initiated by the water management company in Pilsen, where dispatchers make decisions about manipulations on the reservoir Nýrsko, the strategic source of drinking water for inhabitants of Pilsen. The project aim was to support dispatchers' decision making under a high degree of uncertainty or data shortage. The research is continued in the scope of a new project AQUINpro, planned for the period of 2006 to 2008.

 References Alonso-Betanzos, A., Fontenla-Romero, O., Guijarro-Berdiñas, B., Hernández-Pereira, E., Paz Andrade, M. I., Jiménez, E., Legido Soto, J. L., and Carbalas, T.: An intelligent system for forest fire risk prediction and fire fighting management in Galicia, Expert Systems with Applications, 25, 545–554, 2003. Arrue, B. C., Ollero, A., and Martinez de Dios, J. R.: An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection, IEEE Intelligent Systems, 64–73, 2000. Baeza, J., Gabriel, D., and Lafuente, J.: An expert supervisory system for a pilot waste water treatment plant, in: Proc. of ECAI 98 W7 Binding Environmental Sciences and Artificial Intelligence, 25–37, 1998. Bukowitz, W. and Williams, R.: The Knowledge Management Fieldbook. Prentice Hall, London, 2000. CHI (Czech Hydrometeorological Institute) website http://www.chmu.cz/, 2007. CLIPS website http://www.ghg.net/clips/CLIPS.html, 2007. Comas, J., Rodríguez-Roda, I., Sánchez-Marré, M., Cortés, U., Freixó, A., Arráez, J., and Poch, M.: A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information, Water Res., 37, 2377–2387, 2003. CommonKADS website http://www.commonkads.uva.nl/, 2007. Cortés, U., Sánchez-Marré, M., and Ceccaroni, L.: Artificial Intelligence and Environmental Decision Support Systems, Applied Intelligence, 13, 77–91, 2000. Dalkir, K.: Knowledge Management in Theory and Practice. Elsevier, Amsterdam, 2005. Davenport, T. and Prusak, L.: Working Knowledge: How Organizations Manage What They Know. Harvard Business School Press, Boston, 1998. Gensym website http://www.gensym.com, 2007. Gómez-Pérez, A.: From Knowledge Based Systems to Knowledge Sharing Technology: Evaluation and Assessment. Technical Report KSL 93-04, Knowledge Systems Laboratory, Stanford University, 1993. Gruber, T. R.: Toward Principles for Design of Ontologies used for Knowledge Sharing. Technical Report KSL 94-73, Knowledge Systems Laboratory, Stanford University, 1994. Jackson, P.: Introduction to Expert Systems. Addison-Wesley, 1999. KADS22 website http://hcs.science.uva.nl/projects/kads22/, 2007. McElroy, M.: The New Knowledge Management: Complexity, Learning and Sustainable Innovation. Butterworth – Heinemann, Boston, 2003. Meyer, M. and Zack, M.: The design and implementation of information products, Sloan Management Review, 37(3), 43–59, 1996 Mikuleck\'y, P., Ponce, D., and Toman, M.: A knowledge-based decision support system for river basin management, in: River Basin Management II, edited by: Brebbia, C. A., WIT Press, Southampton, 177–185, 2003a. Mikuleck\'y, P., Ponce, D., and Toman, M.:A knowledge-based solution for river water resources management, in: Water Resources Management II, edited by: Brebbia, C. A., Press, Southampton, 451–458, 2003b. Mikuleck\'y, P.: On the Way to Knowledge-Based Water Management. In: Hydrology: Science and Practice for the 21st Century, edited by: Webb, B., Acreman, M., Maksimovic, C., Smithers, H., and Kirby, C., II, 434–438. London, British Hydrological Society, 2004. Mundo, M., Martínez, P., Mireles, V., and Zazueta, F.: Expert systems for water management in irrigation districts. In: Applications of Artificial Intelligence in Engineering X. Computational Mechanics Publications 1995, Southampton, ISBN 1 85312 316 1, 1995. Nacházel, K. and Toman, M.: The genetic algorithm and its application to optimize energy utilization of a water reservoir, in: Applications of Artificial Intelligence in Engineering X, edited by: Adey, R., Computational Mechanics Publ., 253–260, 1995. Nacházel, K. and Toman, M.: The neural networks and their applications to optimize energy production of hydropower plants system, in: Applications of Artificial Intelligence in Engineering XI, edited by: Adey, R. A., Rzevski, G., and Teti, R., Computational Mechanics Publ., Southampton, 234–249, 1997. Ol\vsevičová, K. and Ponce, D.: Knowledge analysis of the systems for water reservoir management. In: Hydrology: Science and Practice for the 21st Century, edited by: Webb, B., Acreman, M., Maksimovic, C., Smithers, H., and Kirby, C., II, London, British Hydrological Society, 2004. Protégé website, http://protege.stanford.edu/ 2007. Schreiber, G., Akkermans, H., Anjewierden, et al.: Knowledge Engineering and Management: The CommonKADS Methodology. MIT Press, 2002. Toman, M. and Sedláček, Z.: Expertní systém a jeho aplikace p\vri \vr\'izen\'i slo\vzité vodohospodá\vrské soustavy. Prezentace expertn\'iho systému pro dispečerské \vr\'izen\'i vodohospodá\vrské soustavy Povod\'i Odry. (in Czech) Workshop 96, Fakulta stavebn\'i \vCVUT, Intern\'i grant č. 2027, Praha, 1996. Wenger, E., McDermott, R., and Snyder, W.: Cultivating Communities of Practice. Harvard Business School Press, Boston, 2002. Wetteronline website http://www.wetteronline.de/, 2007. Wiig, K.: Knowledge Management Foundation. Schema Press, Arlington, 1993.