DMS model Calibration Using Genetic Algorithm

摘要：

　　Recent researchers suggested Dimethyl sulphide (DMS) flux emission in Arctic Ocean plays an important role for the global warming.A Genetic Algorithm (GA) method was developed and used in calibrating the DMS model parameters in Barents Sea in Arctic Ocean (70-80N,30-35E).Two-step GA calibrations were performed.First step was to calibrate the most sensitive parameters based on Chlorophyll_a (CHL) satellite SeaWIFS 8-day data.DMS model was then calibrated for another 5 most sensitive parameters.The best fitness was as good as -0.76 for CHL calibration in 1998-2002.The GA proved an efficient tool in the multiple-parameter calibration task.Model simulations indicate significant inter-annual variation in the CHL amount leading to significant inter-annual variability in the observed and modeled production of DMS and DMS flux in the study region in Arctic Ocean.

关键词： Genetic Algorithm Arctic Calibration Dimethyl sulphide flux Chlorophyll_a

作者: Bo Qu Albert J. Gabric JiaoJiao Xi

作者单位: School of Science Nantong University Nantong, China School of Environment Griffith University Brisbane, Australia Nantong University Nantong, China

会议类型: 国际会议

会议名称: 7th International Conference on Systems Biology(第7届计算系统生物学国际研讨会)(ISB2013)

会议地点: 安徽黄山

会议语种:英文

页码: 10-14

在线出版日期: 2013-08-22（万方平台首次上网日期，不代表论文的发表时间）