利用Himawari-8高频次监测太湖蓝藻水华动态
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国家高技术研究发展计划"863"项目(2012AA120903)和中国气象局2015年专业气象服务"高分卫星蓝藻水华监测"子课题联合资助.


Application of Himawari-8 data with high-frequency observation for Cyanobacteria bloom dynamically monitoring in Lake Taihu
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    摘要:

    新一代静止气象卫星Himawari-8以其10 min/次的高观测频次,为连续动态监测蓝藻水华提供了有力的数据支持.基于太湖实地光谱测量资料,提出Himawari-8卫星资料太湖蓝藻水华动态监测方法.以2015年10月2日蓝藻水华发生过程为例,利用连续、多时次Himawari-8资料,动态监测了太湖蓝藻水华的发展变化,分析蓝藻水华的出现、发展和消失,计算蓝藻水华强度的动态变化,认识蓝藻水华程度及变化特征,估算蓝藻水华的动态变化速度.上述分析为研究蓝藻水华的生长消亡过程提供了支持.进一步探讨蓝藻水华动态变化与气象要素的关系,发现在相同的温湿条件下,风场对蓝藻水华的形成、运动和消失有直接的驱动作用.

    Abstract:

    Himawari-8 as a new generation geostationary meteorological satellite can provide the observation data for dynamically monitoring of Cyanobacteria bloom,with high time resolution at an interval per 10 minutes.According to the spectrum measuring data of Lake Taihu area,a method using the Himawari-8 data was proposed for dynamically monitoring of the Cyanobacteria bloom.In this paper,the outbreak processes of Cyanobacteria bloom on October 2nd,2015 were monitored continuously including the Cya-nobacteria bloom's appearing,increasing and disappearing.The dynamic changes of the intensity and speed of Cyanobacteria bloom were calculated,and the extent and variation were analyzed.All the analysis provided useful information for studying the growth and death of Cyanobacteria bloom.Furthermore,this paper discussed the relation between Cyanobacteria bloom's dynamic changes and meteorological elements of temperature and humidity under the same conditions.Results showed that wind is a direct driving effect on appearing,increasing and disappearing of the Cyanobacteria blooms.

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王萌,郑伟,刘诚.利用Himawari-8高频次监测太湖蓝藻水华动态.湖泊科学,2017,29(5):1043-1053. DOI:10.18307/2017.0502

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  • 收稿日期:2016-06-01
  • 最后修改日期:2016-11-22
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  • 在线发布日期: 2017-08-09
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