A hybrid genetic—instance based learning algorithm for CE-QUAL-W2 calibration

This paper presents a calibration model for CE-QUAL-W2. CE-QUAL-W2 is a two-dimensional (2D) longitudinal/vertical hydrodynamic and water quality model for surface water bodies, modeling eutrophication processes such as temperature–nutrient–algae–dissolved oxygen–organic matter and sediment relation...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) Jg. 310; H. 1; S. 122 - 142
Hauptverfasser:	Ostfeld, Avi, Salomons, Shani
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.08.2005 Elsevier Science
Schlagworte:	algae algae and seaweeds algorithms Calibration CE-QUAL-W2 CE-QUAL-W2 model dissolved oxygen Earth sciences Earth, ocean, space eutrophication Exact sciences and technology floodplains Genetic algorithm genetic algorithms Geochemistry hydrologic models Hydrology Hydrology. Hydrogeology Instance based learning Lower Columbia Slough Mineralogy nutrients Oregon organic matter sediment deposition Silicates Simulation surface water Water geochemistry Water quality water temperature Oregon United States Instance based learning Calibration Simulation CE-QUAL-W2 Genetic algorithm Water quality algorithms models sensitivity analysis eutrophication Plantae algae hydrodynamics digital simulation case studies North America nutrients surface water hydrochemistry water quality organic materials temperature two-dimensional models calibration oxygen Thallophyta
ISSN:	0022-1694, 1879-2707
Online-Zugang:	Volltext
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