Risk response for urban water supply network using case-based reasoning during a natural disaster

Risk response is a pivotal part of critical infrastructure protection, especially in a natural disaster situation. Historical cases are deemed the most effective resources to support emergency decisionmaking on time-limited response strategy plan, but research on this issue is still relatively scarce. This paper uses the case-based reasoning (CBR) method to analyze the response to risks connected with urban water supply network (UWSN). It puts forward a pragmatic method considering the natural disaster situation. The innovation focuses on three key parts. Firstly, ontology model is employed to represent domain and response knowledge including disaster scenario features, UWSN risks and response strategies. Secondly, a two-step case retrieval method is used to match disaster scenarios in order to generate available case set and then obtain similar case set by risk matching. Thirdly, based on the differences between scenarios, inappropriate risk response strategies in the similar case set are adjusted in order to generate practical response strategy plan. Finally, an urban case study shows that the proposed method is capable of extending the CBR method to risk response in UWSN.