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Indexed by:期刊论文
Date of Publication:2017-08-01
Journal:INDIAN JOURNAL OF GEO-MARINE SCIENCES
Included Journals:SCIE
Volume:46
Issue:8
Page Number:1546-1561
ISSN No.:0379-5136
Key Words:marine integrated element water quality model; data-driven model; genetic algorithms; multi-parameter matching; stepwise coupling; inversion
Abstract:In this method, there are two inversion phases step by step, namely, preliminary inversion and precise inversion. Preliminary inversion is implemented by coupling data-driven model with Marine Integrated Element Water Quality Model (MIEWQM), to determine the relationship between the multi-parameter and the pollution concentration values in gauge stations. Field data are inputted the relationship to obtain the initial values of multi-parameter matching. MIEWQM is embedded into Genetic Algorithms (GAs) to search global multi-parameter optimal values in the precise inversion. Preliminary inversion provides the initial values of multi-parameter matching to the precise inversion for shortening the value-taking range of population in GAs. Case studies in Bohai Bay, China. An "identical twin experiment" method and a practical application with Dissolved Inorganic Nitrogen (DIN) are used to verify the present method.