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空间分布频率分析法在太湖水华遥感监测中的应用
Study on the Spatial Distribution Frequency Analysis Method of Monitoring Water Bloom with Remote Sensing Data in Tai Lake
投稿时间:2013-09-09  最后修改时间:2013-10-21
DOI:
中文关键词:  空间分布  频率分析  太湖  水华  遥感
英文关键词:spatial distribution  frequency analysis  Tai Lake  water bloom  remote sensing
基金项目:“十二五”水专项“太湖流域(江苏)水生态监控系统建设与业务化运行示范项目”(2012ZX07506-003)
作者单位
姜晟 江苏省环境监测中心, 江苏 南京 210036 
李旭文 江苏省环境监测中心, 江苏 南京 210036 
牛志春 江苏省环境监测中心, 江苏 南京 210036 
金焰 江苏省环境监测中心, 江苏 南京 210036 
茅晶晶 江苏省生态环境监控中心, 江苏 南京 210036 
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中文摘要:
      以2009—2012年MODIS遥感影像为主要数据源,提出了基于中长时间尺度多时相数据的空间分布频率指数(SDFI)与计算方法,通过分析比较4年太湖水华SDFI计算结果,并结合同期湖体浮标自动监测数据,发现太湖西部沿岸水华暴发频率和营养盐浓度最高,梅梁湖和竺山湖次之,应当作为下一阶段太湖水环境监控治理的重点区域。
英文摘要:
      Based on the MODIS data sources from 2009 to 2012, a new index called as Spatial Distribution Frequency Index had been introduced with the calculation methods using mid-long time-scale data. By comparing with the results of SDFI and buoy automatic monitoring data in the past four years in Tai Lake, a conclusion was reached that frequency of water bloom occurrence and nutrient concentrations level were both highest in west coast of Tai Lake, and followed by the Meiliang Lake and Zhushan Lake. It was suggested that the monitoring and governance works should be focus on these areas for the next step.
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