基于GA-SVM盐度预报模型的河口水环境决策支持系统  

Estuary Water Environment Decision Support System Based on GA-SVM Salinity Prediction Model

作　　者：方艺辉[1,2] 陈兴伟[2,3] FANG Yi-hui CHEN Xing-wei(Information Management ＆ Engineer Department, Fujian Commerce College, Fuzhou 350012, China College of Geographical Sciences, Fujian Normal University, Fuzhou 350007 , China Cultivation Base of State Key Laboratory Humid Subtropical Mountain Ecology, Fuzhou 350007, China)

机构地区：[1]福建商学院信息管理工程系,福建福州350012 [2]福建师范大学地理科学学院,福建福州350007 [3]湿润亚热带山地生态国家重点实验室培育基地,福建福州350007

出　　处：《福建师范大学学报（自然科学版）》2017年第2期18-24,共7页Journal of Fujian Normal University：Natural Science Edition

基　　金：福建省高校产学合作项目(2015Y4002);福建省教育厅资助项目(JA15731)

摘　　要：为了进一步强化水文模型的模拟和预报能力,结合Web GIS技术,采用B/S三层模式,探讨了框架实现的若干关键技术,构建了一个高效的河口水环境管理决策支持系统框架.以闽江河口盐度预报为例,将前期研发的GA-SVM盐度预报模型以紧密方式集成到系统框架中,开发了基于GA-SVM盐度预报模型的河口水环境决策支持系统.该系统实现了GA-SVM盐度预报模型与系统框架的无缝集成,提高了系统运行效率,方便了用户使用.In order to enhance the simulation and prediction ability of hydrological models further, an efficient framework of the estuary water environment decision support system was estab- lished based on B/S three-tier architecture with Web GIS technology after some key technologies were discussed. Integrating the framework with the GA-SVM salinity prediction model developed previously by tightly integrated development pattern, an estuary water environment decision support system based on GA-SVM salinity prediction model was then established with Min River estuary salinity prediction as an example. The system achieves the seamless integration between GA-SVM salinity prediction model and system framework with better operation efficiency and more convenient for users.

关 键 词：水文模型 盐度预报 河口水环境管理 决策支持系统 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]