摘要
湖泊富营养化和蓝藻水华暴发是当前我国湖泊面临的最重要的环境问题之一。本文分析了内陆湖泊太湖蓝藻监测的主要问题。并详细阐述了蓝藻水华遥感动态监测预警模型的建立,即,采用生物光学模型与气象环境预警模型相结合的方式,辅以图形图像学的模块匹配验证,对蓝藻水华暴发前进行临界状态的灾害等级警示,理论上较单纯监测微囊藻叶绿素a浓度值来实现水华暴发预警更为准确。这样,提前采取相应的技术措施,减少蓝藻水华暴发带来的影响和损失。
As the blue-green algae blooms in the Taihu Lake of China are more and more frequent, they have become a great threat to eco-environment, aquatic breeding industry and human health. In this paper, by summarizing current research conditions about the blue-green algae blooms forecast, with MODIS data and ground collecting data in Taihu Lake in China, the authors use a new concept to construct the blue-green algae blooms prediction model. This concept considers the optical characteristics of the four periods of the blue-green algae blooms and also the effects of the meteorologic environment. The model is hopefully to be used to the forecast and early warning in the future.
出处
《地球信息科学》
CSCD
2008年第2期156-160,共5页
Geo-information Science
基金
地理信息科学江苏省重点实验室开放基金(JK20050303)资助
国家测绘局新农村建设测绘保障服务示范项目:太湖蓝藻水华遥感动态监测预警系统
关键词
蓝藻水华
遥感监测
预警模型
blue-green algae blooms
remote sensing
forecast and early warning
