Buoy for algae monitoring and early warning in drinking water source area

Abstract

The invention provides a buoy for algae monitoring and early warning in a drinking water source area, which comprises a sampling tube for collecting water samples, a lifting motor for controlling the sampling tube to lift, a peristaltic pump for controlling the sampling tube to collect the water samples, an algae monitoring instrument for monitoring total algae and cell number of microcystis population in the water samples and figuring out the cell density, a data acquisition device for collecting monitored and / or calculated data, a wireless communication module for sending the data to a monitoring center, a solar panel for collecting solar energy and converting the solar energy to electric energy, a battery pack for storing the electric energy for later use, a photovoltaic controller for stabilizing a voltage and charging the battery pack, and a power panel for providing power supply for all power utilization modules. The buoy can perform monitoring by measuring the cell number of the algae, be free of interference of CDOM (colored dissolved organic matter) fluorescence, be suitable for the large concentration range of 103-1010 cells / L, be suitable for water bodies in various different algae cell concentrations and different seasons and greatly improve the accuracy and the applicability in algae monitoring in the drinking water source area.

Description

technical field [0001] The invention relates to the technical field of water environment protection. Specifically, the invention relates to a buoy used for monitoring and early warning of algae in drinking water sources. Background technique [0002] With the rapid development of my country's economy, the ecological environment continues to deteriorate. In recent years, the eutrophication of water bodies in my country has been increasing, and harmful algal blooms caused by excessive algae reproduction continue to occur frequently, which has seriously affected the drinking water safety of residents, aquaculture, and the value of water body landscapes, causing huge economic losses. In 2007, the outbreak of cyanobacteria bloom in Taihu Lake affected the safety of life and drinking water supply in surrounding cities such as Wuxi and Suzhou. Algal blooms frequently occur in large and medium-sized reservoirs that are the main sources of drinking water. From 2000 to 2009 alone, cy...

AI Technical Summary

Problems solved by technology

[0012] 1) Measuring the number of cells by microscopy: the whole process from sample sampling to the result has a large time lag, and timely warning cannot be achieved

In addition, the classification and counting of algae under a microscope requires very professional personnel, and the efficiency of analyzing samples is low (generally speaking, it takes about 2 hours to conduct qualitative and quantitative analysis on a sample at the same time)

[0013] 2) Extraction method to measure chlorophyll content: After sampling, the extraction time of organic solvents such as acetone is longer, and it usually takes 1-2 days to obtain data, and timely warning cannot be achieved

[0014] 3) Measurement of chlorophyll content by on-site fluorescence method: Although the data acquisition is very fast, when the algae density is high (for example, more than 100 μg Chl / L), the fluorescence intensity and the algae biomass are no longer linearly related, and the obtained data has a large error

[0015] 4) Algae pigment fluorescence monitoring buoy: Although unattended and on-site continuous monitoring can be achieved, the interference caused by CDOM fluorescence in water bodies cannot be eliminated. For many water bodies with severe eutrophication, this interference is very large

The algae density is high, especially when the water bloom occurs, because the linear relationship between the fluorescence intensity and the biomass is lost, resulting in a large error in the measurement results

[0016] 5) Wireless video monitoring buoy: The on-site photos transmitted by wireless can only make a very unscientific estimate of the algae in the water body, not a rigorous and reliable quantitative analysis

[0017] 6) Remote sensing measurement of algae biomass: the cost of purchasing satellite remote sensing data is very expensive, and very professional personnel are required to perform inversion to obtain the data

In addition, the current international satellite remote sensing mainly focuses on the ocean field, and the remote sensing grid for the freshwater environment is very large, resulting in low data accuracy

[0018] In summary, the above-mentioned existing technologies such as microscopy, extraction, and on-site fluorescence methods cannot achieve unattended continuous monitoring; remote sensing methods need to purchase data, which is greatly affected by the weather; wireless video monitoring buoys cannot obtain reliable data; and fluorescent monitoring buoys are easily affected by dissolved organic matter and algae density in water

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