摘要
通过使用FABM框架将水动力模型FVCOM与生态模型ERSEM进行耦合,构建了一个新的适用于近岸复杂地形并完整描述了低营养级生态系统的物理-生物地球化学耦合模型:FVCOM-FABMERSEM.基于该耦合模型分别建立了垂向一维模型和长江口三维模型.使用欧洲L4站的多年观测资料对垂向一维模型(1DV)进行验证,验证结果良好.使用长江口三维模型模拟长江口及其附近海域2013-2016年的历史过程,经与营养盐和Chl-a观测数据校验,并利用MODIS卫星遥感的海洋表层Chl-a分布数据对春季藻类暴发的空间分布进行了验证,证明建立的耦合模型能正确刻画长江口区域的温度、盐度、硝酸盐、磷酸盐、Chl-a等物理和生物地球化学过程.同时,使用模型对长江口锋面区域的特征进行了再现,并讨论了盐度锋、泥沙锋、营养盐锋和叶绿素锋相伴产生与相互作用的关系.
By combining the hydrodynamic model FVCOM with the biological model ERSEM,based on FABM,this paper develops a new physical-biogeochemical model:FVCOM-FABM-ERSEM.The combined model is suitable for application to coastal areas and is one of the most comprehensive ecosystem models for the lower trophic levels of the marine food-web.Using the combined model,a one-dimensional vertical(1 DV)model and a three-dimensional Changjiang Estuary model were established.The results of the 1 DV model were consistent with observation data from the European L4 Station.This paper also simulates the physical and biogeochemical processes of Changjiang Estuary from 2013 to 2016 with the 3 D Changjiang Estuary model.The distribution of temperature,salinity,nitrate,phosphate,and chlorophyll-a levels were all found to be consistent with observation data from cruises and MODIS data in the spring when algal blooms occur.The characteristics of the front dynamics of Changjiang Estuary were well represented.The relationship between salinity,turbidity,nutrients,and chlorophyll around the plume front was determined through modeling,indicating a significant co-occurrence effect along the front of physical and biological processes.
作者
施沈阳
葛建忠
陈建忠
郑晓琴
丁平兴
SHI Shenyang;GE Jianzhong;CHEN Jianzhong;ZHENG Xiaoqin;DING Pingxing(State Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai 200241,China;East China Sea Forecast Center,State Oceanic Administration,Shanghai 200136,China)
出处
《华东师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2020年第3期55-67,共13页
Journal of East China Normal University(Natural Science)
基金
国家重点研发计划(2016YFA0600903)
国家自然科学基金(41776104)
上海市海洋局科研项目(2018-07)。