太湖蓝藻水华遥感动态监测预警模型的建立

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。

The Modeling for Dynamic Blue-green Algae Blooms Prediction Based on Remote Sensing

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.