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Hyperspectral identification method for algal community structures in water bloom stage

A technology for community structure and identification methods, applied in the measurement of color/spectral characteristics, material analysis by optical means, measurement devices, etc., can solve the problems of complexity, failure, and inability to assess the risk of bloom algal toxins

Active Publication Date: 2020-10-20
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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Problems solved by technology

However, the algae community structure during an algae bloom is often complex, and the remote sensing extraction algorithm for algae blooms based on the quantitative inversion model of chlorophyll α concentration often fails when estimating the biomass of cyanobacteria, green algae, and diatom populations, making it impossible to evaluate algae blooms Potential algae toxin risk

Method used

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  • Hyperspectral identification method for algal community structures in water bloom stage
  • Hyperspectral identification method for algal community structures in water bloom stage

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Embodiment

[0031] Embodiment: In order to judge the algae bloom phenomenon in a certain water area and identify the relative abundance ratio of blue-green-diatom populations during the bloom period, this embodiment provides "a hyperspectral identification method for algae community structure during the bloom period", This can be achieved by installing in-situ digital cameras and ground object spectrometers in selected areas prone to blooms in the waters.

[0032] Specifically, the in-situ digital camera installation requirements: ≥ 5 million pixels, the camera is about 1m away from the water surface, the angle between the shooting direction and the water surface normal is about 40°, and the direction is away from the sun; the ground object spectrometer installation requirements: the spectral range should include 325-1075nm, spectral resolution ≤ 3nm, the probe is about 1.3m away from the water surface, the angle between the direction of the probe and the normal of the water surface is abo...

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Abstract

The invention relates to a hyperspectral identification method for algal community structures in a water bloom stage, and belongs to the field of ecological environment monitoring. Firstly, a water bloom phenomenon is preliminarily judged by adopting a high-definition photo; spectral characteristic differences of reflection spectrum sensitive wavelengths of blue algae, green algae and diatom populations on the water surface are utilized to construct spectral parameters representing algae communities and population diagnosis photosynthetic pigments, the spectral parameters are applied to finaljudgment of a bloom phenomenon and quantitative estimation of algae population characteristics, and finally, extraction of algae community structures in a bloom stage is realized by calculating a relative abundance ratio of blue-green-diatom populations. The method can accurately judge the water bloom phenomenon and identify algal community structures in a water bloom stage.

Description

technical field [0001] The invention relates to a hyperspectral identification method for algae community structure in the water bloom period, which belongs to the field of ecological environment monitoring, and is especially suitable for quantitative estimation of the relative abundance of blue-green-diatom populations in the water bloom period. Background technique [0002] Algal blooms are the accumulation of a large number of algae caused by the explosive proliferation of algae in water bodies. When algal blooms occur in densely populated or ecologically sensitive areas and endanger human and ecological health, they are defined as harmful algal blooms. Cyanobacteria, green algae, and diatoms are the most common algae blooms in inland eutrophic water bodies, especially cyanobacteria blooms are important ecological problems faced by inland lake reservoir management and water resource development and utilization. The harm of algae bloom is mainly manifested as: a large num...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/31G01N21/84
CPCG01N21/31G01N21/84
Inventor 周博天尚明生闪锟马健荣封雷
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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