Use of meta-heuristic techniques in rainfall-runoffmodelling

Kwok Wing Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

92 Citations (Scopus)


Each year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runoffmodeling is a growing field of endeavor in water resources management. These techniques can be used to calibrate data-driven rainfall-runoffmodels to improve forecasting accuracies. This Special Issue of the journal Water is designed to fill the analytical void by including papers concerning advances in the contemporary use of meta-heuristic techniques in rainfall-runoffmodeling. The information and analyses can contribute to the development and implementation of effective hydrological predictions, and thus, of appropriate precautionary measures.
Original languageEnglish
Article number186
JournalWater (Switzerland)
Issue number3
Publication statusPublished - 1 Jan 2017


  • Data-driven
  • Flood
  • Meta-heuristic
  • Modeling
  • Prediction
  • Rainfall-runoff

ASJC Scopus subject areas

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology


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