Programme  Poster session 1  abstract 422

Knowledge Technologies in Water Resources Management

Author(s): K. Olsevicova, D. Ponce, P. Mikulecky
Faculty of Informatics and Management University of Hradec Kralove 50003 Hradec Kralove Czech Republic

Keyword(s): water resources management, knowledge management, knowledge-based technologies

Article: abs422_article.pdf
Poster: abs422_poster.pdf
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Session: Poster session 1

management, as any other knowledge intensive activity, to be efficiently applied in everyday practice, needs

knowledge. Knowledge is usually possessed only by a narrow group of specialists (experts in the area, e.g. river

basin dispatchers) who know when, how, and what must be done in order to provide proper water supply, or to

cope with a dramatic consequences of floods. This knowledge, as it happens with experts everywhere, may not be

available whenever it is necessary from various reasons:
• experts need not be always achievable when

• experts can suffer from common human problems, or suddenly their knowledge can be lost because

of their mortality, or retirement,
• experts can differ in their opinions how to solve a particular situation, etc.

of these and other reasons are in favour of the opinion that various knowledge management solutions using proper

knowledge-based tools, which have already proven their usefulness in other areas, could be very beneficial also in

water management.
From the engineering point of view, the experts reasoning about problems and decision

making about suitable solutions is understood as manipulating with specific data, mathematical models of the real

situation, simulations, etc. In water management domain, we can think of mathematical modelling of hydrological

data, mathematical models for optimization and control of reservoirs seen from the hydrological aspects, models of

optimized water management in dry periods, rainfall-runoff terms for outflow forecasting, or elementary models of

pollution effusing in rivers.
In case of inaccessibility, incompleteness, or incorrectness of data as well as in other

situations with high degree of uncertainty, experts still are able to make decisions, while all the classical approaches

fail; neither algorithmic solution nor exact formulae can be used. The obstacles related to the lack of data can be

solved by employing suitable approaches from the area of soft computing. However, these approaches are not

always fully adequate. Then the space for the utilization of the knowledge-based technologies and for knowledge

management opens.
The paper deals with a number of our recent attempts to employ knowledge-based

technologies, and especially some knowledge management approaches in the area of river basin management. In a

number of cases at the Czech watersheds this happens to be knowledge rich but often data poor area. We are

convinced that in many cases better exploitation of knowledge possessed by human experts in the area can

successfully substitute lack of data and help in achieving a more effective management of relevant water


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