水华预警模型研究进展  

Research on Early Warning Model of Algal Bloom

作　　者：郭静[1] 王炳 马千里[1] 陈凡[1,3] 苟婷[1,4] 

机构地区：[1]环境保护部华南环境科学研究所,广东广州510065 [2]山东省青州市美陵污水净化有限公司,山东潍坊262501 [3]长沙理工大学,湖南长沙410004 [4]兰州交通大学,甘肃兰州730070

出　　处：《广东化工》2013年第20期15-15,11,共2页Guangdong Chemical Industry

基　　金：国家科技重大专项(2009ZX07211-009-05);中央级公益性科研院所基本科研业务费专项资金(PM-zx021-201212-012)

摘　　要：对水华进行及时与准确的预测具有重要意义,水华预警模型是研究水华变化过程较为有利的工具。文章着重介绍了三类水华预警模型:机理模型、数据驱动模型、遥感预警模型。对这三类模型的建立思路和应用实例进行了概况和描述,总结对比各类模型的优缺点,分析现有水华模型的不足,并对水华模型的发展方向做出展望。Early Warning model of algal bloom is a powerful tool to research the dynamic of algal during the bloom. There are three basic models to simulate the algal bloom generally, that is, the mechanism model, data-driven model, remote sensing bloom model. The paper discussed the basic thesis, the distinctive advantage and disadvantage of the three types of model by analyzing the application of these models in different lakes and rivers. The developing trend of early warning model of algal was also discussed.

关 键 词：水华 机理模型 数据驱动 遥感预警 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]