孙昭晨

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

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Research on multi-parameter stepwise coupling inversion method for marine integrated element water quality model based on data-driven and genetic calculation

点击次数:

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.