Method for forecasting blue-green algae water bloom in large-scale shallow lake within 72 hours

Abstract

The invention discloses a method for forecasting blue-green algae water bloom in a large-scale shallow lake within 72 hours. The method comprises the following steps of: building a content forecasting model of chlorophyll a in a water body and a probability forecasting model of water bloom generation according to an in-situ growth rate and drift rate parameters of blue-green algae; analyzing instant content of the chlorophyll a in a monitoring water area; distributing and acquiring meteorological information data in a monitoring period; inputting the built models; and outputting a predicted value of the concentration of the chlorophyll a in the monitoring water area in the next 72 hours and the water area and the probability of water bloom generation. The method disclosed by the invention has the advantages of strong operability, easily acquired parameters used for forecasting and high timeliness, and can be used for rapidly and accurately predicting breakout of the blue-green algae water bloom and forecasting the blue-green algae water bloom in a waterhead site and a vital landscape water area.

Description

technical field [0001] The invention relates to a method for monitoring and forecasting cyanobacteria blooms in short time scales in water areas such as lakes and reservoirs, in particular to a method for predicting 72-hour cyanobacteria blooms in large shallow lakes. Background technique [0002] Cyanobacteria blooms are an environmental problem faced by many countries around the world. In many nutrient-rich lakes or reservoirs, cyanobacteria accumulate in local lakes or reservoir areas and decompose at high temperatures, forming foul odors; especially when cyanobacteria take water from water sources When there is a large amount of accumulation near the mouth, it may cause the deterioration of the water quality of the water source and endanger the safety of water supply. [0003] At present, there is still a lack of effective governance means to completely eliminate this environmental problem, and cyanobacteria blooms will still appear in many lakes and reservoirs in large ...

AI Technical Summary

Problems solved by technology

At present, there are instruments for rapid monitoring of cytochrome in water bodies, but these instruments often have large errors when applied to water bodies with high algae density, and bring large errors to the prediction results when used for cyanobacteria monitoring

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