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Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing

机译:利用卫星遥感对美国湖泊中国家和区域蓝细菌的发生进行量化

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摘要

Cyanobacterial harmful algal blooms are the most common form of harmful algal blooms in freshwater systems throughout the world. However, in situ sampling of cyanobacteria in inland lakes is limited both spatially and temporally. Satellite data has proven to be an effective tool to monitor cyanobacteria in freshwater lakes across the United States. This study uses data from the European Space Agency Envisat MEdium Resolution Imaging Spectrometer and the Sentinel-3 Ocean and Land Color Instrument to provide a national overview of the percentage of lakes experiencing a cyanobacterial bloom on a weekly basis for 2008-2011, 2017, and 2018. A total of 2321 lakes across the contiguous United States were included in the analysis. We examined four different thresholds to define when a waterbody is classified as experiencing a bloom. Across these four thresholds, we explored variability in bloom percentage with changes in seasonality and lake size. As a validation of algorithm performance, we analyzed the agreement between satellite observations and previously established ecological patterns, although data availability in the wintertime limited these comparisons on a year-round basis. Changes in cyanobacterial bloom percentage at the national scale followed the well-known temporal pattern of freshwater blooms. The percentage of lakes experiencing a bloom increased throughout the year, reached a maximum in fall, and decreased through the winter. Wintertime data, particularly in northern regions, were consistently limited due to snow and ice cover. With the exception of the Southeast and South, regional patterns mimicked patterns found at the national scale. The Southeast and South exhibited an unexpected pattern as cyanobacterial bloom percentage reached a maximum in the winter rather than the summer. Lake Jesup in Florida was used as a case study to validate this observed pattern against field observations of chlorophyll a. Results from this research establish a baseline of annual occurrence of cyanobacterial blooms in inland lakes across the United States. In addition, methods presented in this study can be tailored to fit the specific requirements of an individual system or region.
机译:蓝藻有害藻华是全世界淡水系统中藻藻最常见的形式。然而,内陆湖泊中蓝细菌的原位采样在空间和时间上都受到限制。事实证明,卫星数据是监测整个美国淡水湖中蓝细菌的有效工具。这项研究使用了欧洲航天局Envisat中等分辨率成像光谱仪和Sentinel-3海洋和陆地颜色仪器的数据,提供了2008-2011年,2017年和2017年每周经历蓝藻水华的湖泊百分比的全国概况。 2018年。分析中包括了整个美国附近的​​2321个湖泊。我们检查了四个不同的阈值,以定义何时将水体归类为水华。跨越这四个阈值,我们探索了盛开百分比随季节和湖泊大小变化的变化。为了验证算法的性能,我们分析了卫星观测值与先前建立的生态模式之间的一致性,尽管冬季的数据可用性限制了全年的比较。全国范围内的蓝藻水华百分比的变化遵循着众所周知的淡水水华的时间格局。全年开花的湖泊所占百分比增加,秋天最高,而整个冬季则减少。由于积雪和冰雪,冬季数据,特别是在北部地区,一直受到限制。除东南部和南部外,区域模式模仿了全国范围内的模式。东南和南部表现出出乎意料的模式,因为冬季而不是夏季,蓝藻繁殖率达到最大值。以佛罗里达州的Jesup湖为案例研究,以验证这种观察模式与叶绿素a的野外观察。这项研究的结果确定了美国内陆湖泊中每年发生的蓝藻水华的基线。此外,本研究中提出的方法可以进行调整以适合单个系统或区域的特定要求。

著录项

  • 来源
    《Ecological indicators》 |2020年第4期|105976.1-105976.12|共12页
  • 作者

  • 作者单位

    US EPA Off Res & Dev Natl Exposure Res Lab Washington DC 20460 USA|North Carolina State Univ Ctr Geospatial Analyt Raleigh NC 27695 USA;

    US EPA Off Res & Dev Natl Exposure Res Lab Washington DC 20460 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Remote sensing; Harmful algal blooms; Cyanobacteria; Water quality; Inland waters;

    机译:遥感;有害的藻华;蓝细菌;水质;内陆水域;

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