黄河三角洲近海水体含沙量遥感信息模型研究  

Research on remote sensing information model for sediment concentration of silt content water of the Yellow River Delta adjacent sea areas

作　　者：樊彦国[1] 李瑞华[1] 侯春玲[1] 张磊[1] 

机构地区：[1]中国石油大学(华东)地球资源与信息学院,山东青岛266555

出　　处：《海洋科学》2009年第8期36-39,共4页Marine Sciences

基　　金：山东省科技攻关项目(2008GG10009018)

摘　　要：简要分析了影响黄河三角洲飞雁滩海域海水含沙量的基本因素,如:风浪、潮汐、含沙量、海水的光谱反射率等,依据相似性准则,采用量纲比法则建立了含沙量的地理模型。在分析现有模型的基础上建立了含沙水体的光谱反射率和含沙量关系的遥感信息模型,这为评估该海域的海岸蚀退提供了重要依据。Through a brief analysis of the basic factors of impacting sediment concentration in the Yellow River Delta Feiyantan sea areas, such as waves, tides, sediment concentration, the spectral reflectance of seawater and so on, a geographical model of sediment concentration was built by using dimension ratio rule and based on similarity criterion. Through analyzing existing models, a remote sensing information model of the relation between silt content water＇s spectral reflectance and sediment concentration was built. It provides an important basis to assess the coastal erosion in the sea areas.

关 键 词：黄河三角洲 含沙量 模型 量纲比 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]