Knowledge-based approaches for river basin management

Abstract

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.

Reasoning about river basins: WaWO+ revisited

“…As indicated by Mikulecký et al [46] this knowledge, as it happens with experts everywhere, may not be available when necessary for many reasons, as follows:…”

“…Moreover, several authors proposed ontologies for specific representation issues in RB scenarios such as [43], who presented a generic ontology for conceptual design of treatment of flow sheets, [46] pointed out the need of an IoT approach to deal with the problem, [18] studied an activated sludge facility and a stabilization lagoon, [60] approached on the instrumentation and control of the treatment plants, [64] focused on different aspects of the Upper Ems River Basin, and [9] developed an argumentation-based framework for managing industrial wastewater discharges.…”

“…In the IoT, new water management services will be deployed [46]. For example, storm water management and smart grid water will see growth.…”

Ambient Intelligence in Water Management

“…In our earlier papers [15], [16], [17] and [18] we started with some contemplations related towards possibilities of using ambient intelligence approaches in water management. In this paper we intend to go further on with the ideas how ambient intelligence used in "large-scale" throughout the open natural environment could be beneficial in solving water management related problems.…”

Knowledge Representation and Validation in a Decision Support System: Introducing a Variability Modelling Technique

“…The aim of knowledge representation is to facilitate effective knowledge management which concerns expressive representation and efficiency of reasoning in human [15]. Related works on this area are summarized as follows: Haas [10] investigated the feasibility of developing an overarching knowledge representation for Bureau of Labor Statistics information that captured its semantics, including concepts, terminology, actions, sources, and other metadata, in a uniformly applicable way.…”