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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Vydáno v:	Journal of hydrology (Amsterdam) Ročník 310; číslo 1; s. 122 - 142
Hlavní autoři:	Ostfeld, Avi, Salomons, Shani
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.08.2005 Elsevier Science
Témata:	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
On-line přístup:	Získat plný text
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