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Local wind speed condition based discrimination method of vertical distribution pattern of Microcystis flos-aquae in the large shallow lake

A technology of vertical distribution and mode discrimination, which is applied to open-air water source surveys, measuring devices, instruments, etc., can solve problems such as high monitoring frequency, fast change speed, and lack of solutions for vertical distribution, so as to improve accuracy and decision-making ability Effect

Inactive Publication Date: 2016-05-25
NANJING INST OF GEOGRAPHY & LIMNOLOGY
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Problems solved by technology

However, due to the rapid change in the space-time range of water bloom cyanobacteria, it is difficult for traditional monitoring methods to achieve such a high monitoring frequency.
The remote sensing method widely used in recent years provides a solution for this kind of monitoring, which can provide remote sensing distribution images twice a day, but it only tracks the horizontal migration of surface bloom cyanobacteria, and there is still no effective solution for the vertical distribution

Method used

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  • Local wind speed condition based discrimination method of vertical distribution pattern of Microcystis flos-aquae in the large shallow lake
  • Local wind speed condition based discrimination method of vertical distribution pattern of Microcystis flos-aquae in the large shallow lake
  • Local wind speed condition based discrimination method of vertical distribution pattern of Microcystis flos-aquae in the large shallow lake

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Embodiment Construction

[0043] The technical solution of the present invention will be described in further detail below through specific examples, but it must be pointed out that the following examples are only used to describe the content of the invention, and do not constitute limitations to the protection scope of the present invention.

[0044] The method of the invention is used to discriminate the vertical distribution pattern of Microcystis blooms in large shallow lakes, and the vertical distribution of Microcystis blooms in waters of Chaohu Lake is quickly determined based on wind speed.

[0045] The above purpose is achieved in this way: by setting up monitoring points in the Microcystis bloom area of ​​Chaohu Lake, collecting layered water samples under different wind speed conditions, using chemical analysis methods and microscopy methods to analyze and determine the proportion of algae biomass in different water layers. The proportion of total biomass, that is, the vertical distribution p...

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Abstract

A local wind speed condition based discrimination method of vertical distribution pattern of Microcystis flos-aquae in the large shallow lake is as below: arranging monitoring points in lake with Microcystis flos-aquae, sampling stratified water under different wind conditions, and determining the proportion of algal biomass in the total biomass in different water layers by chemical analysis and microscopic examination; selecting a regression function using the AICc criteria for screening, and using the proportion as a dependent variable to build a unified function for algae vertical distribution pattern under different wind conditions; extracting the unified function coefficients, using a general additive model to determine contribution and a threshold of wind speed as a main factor, and using an regression analysis to determine the relationship between the unified function coefficients and the wind speed; and after integration, constructing a prediction model of wind speed based vertical distribution pattern of Microcystis flos-aquae. The present invention can obtain the vertical distribution pattern of Microcystis flos-aquae, and provides scientific and technological support for the estimation of the total amount of cyanobacterial bloom and control of cyanobacterial bloom.

Description

technical field [0001] The invention relates to a method for discriminating the distribution of algae blooms in large shallow lakes, in particular to a method for discriminating the vertical distribution mode of microcystis algal blooms based on local wind speed. Background technique [0002] The occurrence of cyanobacterial blooms is often manifested as "suddenness", which is mainly due to the horizontal and vertical migration of cyanobacteria in water bodies. In response to this mobile cyanobacteria bloom, monitoring work usually needs to increase the monitoring frequency to track the changes of bloom cyanobacteria within the scope of time and space. However, due to the rapid change of algal blooms in space and time, traditional monitoring methods are difficult to achieve such a high monitoring frequency. The remote sensing method widely used in recent years provides a solution for this kind of monitoring, which can provide remote sensing distribution images twice a day, ...

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Application Information

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IPC IPC(8): G01C13/00
CPCG01C13/00
Inventor 张民阳振于洋孔繁翔
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY
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