Method and device for classified detecting density of phytoplankton under water in site

Abstract

A method for classifying underwater original position of polytoplankton by detecting concentration of polytoplankton includes setting a groove at one side of closed pressure box and a light shading cover at external side of said box; erecting LED array formed by parallel-arranged LED with center wavelength of 450nm, 525nm, 570nm 590nm and 620nm in light path at side surface of said groove; dividing polytoplankton to be five light spectrum set as green, blue, brown, red and mixture; measuring 685nm florescent intensity of five different exciting wavelength to calculate out chlorophyll concentration of each light spectrum according to known coefficient.

Description

technical field [0001] The invention belongs to a spectral measurement method and device Background technique [0002] The eutrophication of the water body leads to the excessive proliferation of phytoplankton in the water body, and the excessive phytoplankton depletes the dissolved oxygen in the water body, resulting in the death of a large number of aquatic organisms, and the water body becomes black and smelly. Not only that, some phytoplankton (cyanobacteria, etc.) release a variety of algal toxins into the water body, causing serious harm to human health. At present, the most effective measure to reduce the losses caused by eutrophication of water bodies is to monitor the concentration of phytoplankton in time, grasp the law of algal blooms, and forecast in time to take effective measures. Therefore, the monitoring of phytoplankton concentration has become an important task of the environmental monitoring department. There are mainly three types of detection methods: ...

AI Technical Summary

Problems solved by technology

However, this method is more time-consuming and labor-intensive than the above two methods, and requires very professional inspectors to complete it, so it is difficult to be widely used in environmental monitoring

[0006] In short, the existing methods all need to take samples of the water samples to be tested and then conduct further laboratory analysis. Usually, the detection period is long, the steps are cumbersome and the cost is high, which seriously affects the coverage and frequency of monitoring, and cannot meet the requirements of modern environmental monitoring. Fast, real-time, in-situ requirements

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