- author = "A. W. Jayawardena and N. Muttil and T. M. K. G. Fernando",
- title = "Rainfall-Runoff Modelling Using Genetic Programming",
- booktitle = "International Congress on Modelling and Simulation, MODSIM 2005",
- year = "2005",
- editor = "Andre Zerger and Robert M. Argent",
- pages = "1841--1847",
- month = dec,
- organisation = "Modelling and Simulation Society of Australia and New Zealand",
- keywords = "genetic algorithms, genetic programming, rainfall-runoff modelling, data-driven models, evolutionary algorithms",
- isbn13 = "0-9758400-2-9",
- annote = "The Pennsylvania State University CiteSeerX Archives",
- bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
- language = "en",
- oai = "oai:CiteSeerX.psu:10.1.1.375.6188",
- rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.6188",
-
URL = "
http://www.mssanz.org.au/modsim05/papers/jayawardena.pdf",
- size = "7 pages",
- abstract = "The problem of accurately determining river flows from rainfall, evaporation and other factors, occupies an important place in hydrology. The rainfall-runoff process is believed to be highly non-linear, time varying, spatially distributed and not easily described by simple models. Practitioners in water resources have embraced data-driven modelling approaches enthusiastically, as they are perceived to overcome some of the difficulties associated with physics-based approaches. Such approaches have proved to be an effective and efficient way to model the rainfall runoff process in situations where enough data on physical characteristics of catchment is not available or when it is essential to predict the flow in the shortest possible time to enable sufficient time for notification and evacuation procedures. In the recent past, an evolutionary based data driven modelling approach, genetic programming (GP) has been used for rainfall-runoff modelling. In this study, GP has been applied for predicting the runoff from three catchments -- a small steeply sloped catchment in Hong Kong (Hok Tau catchment) and two relatively bigger catchments",
-
notes = "https://www.mssanz.org.au/modsim05/
University of Hong Kong",
