个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
学科:港口、海岸及近海工程
电子邮箱:sunzc@dlut.edu.cn
Research on multi-parameter stepwise coupling inversion method for marine integrated element water quality model based on data-driven and genetic calculation
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论文类型:期刊论文
发表时间:2017-08-01
发表刊物:INDIAN JOURNAL OF GEO-MARINE SCIENCES
收录刊物:SCIE
卷号:46
期号:8
页面范围:1546-1561
ISSN号:0379-5136
关键字:marine integrated element water quality model; data-driven model; genetic algorithms; multi-parameter matching; stepwise coupling; inversion
摘要: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.