Knowledge-based system on water-resource management in coastal waters

K. W. Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Computers which are used conventionally in numerical models for problem-solving and fast number-crunching are not user-friendly and lack knowledge transfer in model interpretation. Recent advances in artificial intelligence make it possible to systemise the experience and decision-making procedures of human experts. This paper describes the development of a prototype knowledge-based system (an advanced technique of artificial intelligence) as a knowledge-transfer tool for water-resource planning and management in coastal waters. The system can (a) run on a desktop computer and (b) act as a design aid, to assist in numerical modelling to simulate flow and/or water quality. Using the application in Hong Kong coastal waters, it was verified that the prototype system had the capability to undertake the reasoning process to select the model and associated parameters, equivalent to a human expert.
Original languageEnglish
Pages (from-to)25-28
Number of pages4
JournalWater and Environment Journal
Volume18
Issue number1
DOIs
Publication statusPublished - 1 Jan 2004

Keywords

  • Artificial intelligence
  • Coastal waters
  • Knowledge transfer
  • Knowledge-based system
  • Water-resources management

ASJC Scopus subject areas

  • Environmental Engineering
  • Water Science and Technology
  • Pollution
  • Management, Monitoring, Policy and Law

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