Prediction of inflows from dam catchment using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Atiquzzaman:2016:IJHST,
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title = "Prediction of inflows from dam catchment using genetic
programming",
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author = "Md Atiquzzaman and Jaya Kandasamy",
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journal = "International Journal of Hydrology Science and
Technology",
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year = "2016",
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month = mar # "~28",
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volume = "6",
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number = "2",
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pages = "103--117",
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keywords = "genetic algorithms, genetic programming, MIKE11-NAM,
hydroinformatics, climate scenarios, forecasting,
hydrology, rainfall prediction, inflows, inflow
prediction, catchment runoff, dam catchment, water
management, water resources, Australia, flow
simulation",
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publisher = "Inderscience Publishers",
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ISSN = "2042-7816",
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bibsource = "OAI-PMH server at www.inderscience.com",
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language = "eng",
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rights = "Inderscience Copyright",
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URL = "http://www.inderscience.com/link.php?id=75560",
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DOI = "doi:10.1504/IJHST.2016.075560",
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abstract = "Application of hydroinformatics tools for managing
water resources is common in the water industry. Over
the last few decades, several hydroinformatics tools
including genetic programming (GP) have been developed
and applied in hydrology. GP has been successfully
applied for calibration of numerous event-based
rainfall and runoff models. However, applying GP to
predict long-term time series for the management of
water resources is limited. This study demonstrates
GP's application in long-term prediction of catchment
runoff concerning a dam located in Oberon, New South
Wales, Australia. The calibration showed excellent
agreement between the observed and simulated flows
recorded over 30 years. The model was then applied for
the assessment of catchment yields for a future 100
years flows based on two assumed climatic scenarios.",
- }
Genetic Programming entries for
Md Atiquzzaman
Jaya Kandasamy
Citations