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Rapid early warning method for water body algal bloom risk

A water body and risk technology, applied in the direction of instruments, calculations, electrical digital data processing, etc., can solve the problems of complex model parameters and structures, and consume a lot of time, and achieve the effect of fewer parameters, strong timeliness, and simple calculations

Active Publication Date: 2016-03-02
珞珈浩景数字科技(湖北)有限公司
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Problems solved by technology

[0004] The eutrophication ecological dynamic model can better simulate and predict the "three elements" of algal bloom risk assessment in water bodies, and plays an active role in the algal bloom risk assessment, but the calculation of the eutrophic ecological dynamic model requires a large amount of Supported by measured data, the parameters and structure of the model are relatively complex, and the establishment and verification process takes a lot of time

Method used

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  • Rapid early warning method for water body algal bloom risk
  • Rapid early warning method for water body algal bloom risk
  • Rapid early warning method for water body algal bloom risk

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Embodiment Construction

[0038] figure 1 Be the concrete flowchart of the present invention, specifically comprise steps:

[0039] Step 1: Carry out environmental analysis on the water body to obtain the main influencing factors and dominant algae species of water blooms, and build an algal biomass prediction model for dominant algae species based on the main factors affecting the outbreak of water blooms.

[0040] The water body environment analysis is specifically: collecting climate characteristic data, water body pollution source characteristic data, and water body water quality change characteristic data. Change characteristic data include changes in nitrogen content and phosphorus content in water bodies; according to climate characteristic data, water body pollution source characteristic data and water quality change characteristic data, combined with hydrodynamic conditions and biological factors for environmental analysis, determine the main factors affecting the outbreak of algal blooms And...

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Abstract

The invention discloses a method for fast early warning against a water body water bloom risk. The method comprises a first step of constructing an alga biomass prediction model based on environment analysis results; a second step of adopting the alga biomass prediction model to obtain an alga biomass prediction value; a third step of determining an alga biomass water bloom risk threshold of advantageous algae; and a fourth step of comparing the alga biomass prediction value with the alga biomass water bloom risk threshold and judging whether water bloom early warning is sent out. The method is suitable for water environmental quality monitoring, is simple, convenient and rapid, can achieve fast early warning of the water bloom risk and can provide timely and effective technical support for water environment emergency management.

Description

technical field [0001] The invention belongs to the technical field of water environment protection, and in particular relates to a rapid early warning method for algal bloom risks in water bodies. Background technique [0002] With the rapid expansion of urbanization and rapid industrial development, as well as the extensive use of chemical fertilizers and pesticides in agricultural production, a large amount of urban domestic sewage and industrial and agricultural wastewater flow into rivers, rivers, lakes, reservoirs and other water bodies, causing the pollution load of water bodies to continue to increase. As a result, the eutrophication of my country's inland water bodies is becoming more and more serious, and "water blooms" incidents occur frequently. When the occurrence of "Water Bloom" affects the normal functions of water bodies such as drinking, breeding, entertainment, and landscape, the "Water Bloom" event becomes a water pollution accident that affects people's p...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 张万顺彭红吴扬徐艳红
Owner 珞珈浩景数字科技(湖北)有限公司
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