Benthic dinoflagellate algal bloom quantitative collection method and system based on artificial matrix

Abstract

The invention relates to the field of benthic dinoflagellate algal bloom quantification, and discloses a benthic dinoflagellate algal bloom quantitative collection method and system based on an artificial matrix, and the method comprises the following steps: placing the artificial matrix in water to realize collection of benthic dinoflagellate algal bloom in water so as to realize quantitative treatment of benthic dinoflagellate. In the collecting process, the artificial matrix is arranged at the optimal ecological niche of dinoflagellate, the monitoring efficiency can be remarkably improved, the screen window is converted into an efficient quantitative tool through strict process control, reliable data support is provided for dynamic research of benthic algal bloom, and important quantitative data is provided for algal bloom early warning, ecological research and environment management.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of benthic dinoflagellate bloom quantification, in particular a benthic dinoflagellate bloom quantification collection method and system based on artificial substrate. BACKGROUND

[0002] Marine benthic dinoflagellates are a group of microalgae that mainly live attached to biological substrates such as seaweed and macroalgae, and non-biological substrates such as dead coral, sand, sediment and plastic waste. Marine benthic dinoflagellates mainly include Prorocentrum, Cochlodinium, Gambierdiscus, Fukuyoella, Kuriella, Proorenzella and Ostreococcus.

[0003] In the past decade, harmful benthic dinoflagellate blooms have occurred more frequently and widely, seriously endangering the safety of marine benthic ecosystems and human health. When Prorocentrum blooms occur, high concentrations of okadaic acid and pinnatoxins accumulate in marine organisms such as shellfish, and the latter are transmitted to humans through the food chain, causing human diarrhetic shellfish poisoning (DSP). DSP can cause people to have symptoms such as diarrhea, nausea, vomiting and abdominal pain. Long-term consumption of seafood contaminated with DSP toxins can increase the risk of lung cancer in humans. Cochlodinium blooms occur more widely and frequently, and produce sea anemone toxins and cochlodinum toxins, which are the most toxic non-protein algal toxins. These toxins can cause allergic reactions in humans through skin contact, and can also form aerosols with air into the human respiratory system, causing respiratory difficulties and allergic reactions. Gambierdiscus produces ciguatoxin or stinging fish toxin, which can cause the most serious non-bacterial human seafood poisoning event, ciguatera fish poisoning (CFP), with about 500,000-5 million people poisoned each year due to consumption of fish contaminated with ciguatoxin. CFP poisoning events mainly occur in tropical and subtropical waters between 30°S and 30°N, of which China is also a high-risk area. In the 14 years from 1994 to 2008, there were 24 reported CFP events, affecting thousands of people. It is generally believed that when the cell density of Gambierdiscus attached to macroalgae is 1000 cells g -1 wet weight (WW), toxins begin to accumulate in fish, so this density can be considered as the threshold of Gambierdiscus bloom. The frequent CFP events around the world suggest the widespread occurrence of Gambierdiscus blooms. In September 2012, a strong Proorenzella robusta bloom occurred in a coastal lagoon in Sydney, Australia, with a density of 1.8 x 10 8 cells L -1 , causing mass fish deaths.

[0004] Currently, the collection method of benthic dinoflagellate is mainly collecting large seaweed and seagrass and other biological matrix, separating the cells on the surface of the matrix, weighing the wet weight or dry weight of the biological matrix, and expressing the cell abundance as cells / g wet weight / dry weight. However, due to the complex three-dimensional structure of the biological matrix, the surface area of the biological matrix with the same weight is greatly different, and it is difficult to accurately quantify the benthic dinoflagellate. In addition, the distribution of the biological matrix is not uniform, and there is no distribution of the biological matrix in some seabed areas but the growth of benthic dinoflagellate, and it is difficult to investigate the benthic dinoflagellate in the sea area. Therefore, we designed a new method for collecting benthic dinoflagellate based on artificial matrix, and quantitatively analyzed the benthic dinoflagellate, that is, a benthic dinoflagellate algal bloom quantitative collection method and system based on artificial matrix are proposed. SUMMARY

[0005] The present application overcomes the shortcomings of the prior art and provides a benthic dinoflagellate algal bloom quantitative collection method and system based on artificial matrix.

[0006] To achieve the above purpose, the technical scheme adopted by the present application is as follows:

[0007] The present application provides a benthic dinoflagellate algal bloom quantitative collection method based on artificial matrix, comprising the following steps:

[0008] An artificial matrix for quantifying benthic dinoflagellate algal bloom is prepared, and the effective attachment surface area of each artificial matrix is calculated, and the artificial matrix is pretreated;

[0009] The water sample of the target water area is analyzed, and the pretreated fixed artificial matrix is placed in the target pretreated fixed artificial matrix placement position according to the flow state of the target water area;

[0010] The pretreated fixed artificial matrix is deployed in the middle of the target pretreated fixed artificial matrix placement position for collecting benthic dinoflagellate algal bloom, and the collected benthic dinoflagellate algal bloom is quantitatively processed.

[0011] Further, in a preferred embodiment of the present application, the artificial matrix for quantifying benthic dinoflagellate algal bloom is prepared, and the effective attachment surface area of each artificial matrix is calculated, and the artificial matrix is pretreated, specifically:

[0012] Determine the water area where the benthic dinoflagellate algal bloom needs to be quantitatively collected, and mark it as the target water area, and collect the water sample of the target water area to obtain the target water sample;

[0013] Introduce the raw material of the artificial screen window, and based on the raw material of the artificial screen window, a 23cmx18cm artificial matrix is obtained, which is used as the artificial matrix for quantifying the benthic dinoflagellate algal bloom, and is marked as the artificial screen window matrix;

[0014] Introducing a big data network, the artificial screen matrix is subjected to aperture setting, wherein the method for aperture setting of the artificial screen matrix is that, in the big data network, the aperture setting with the highest usage rate in the process of manufacturing the artificial screen matrix based on the raw material quality of the artificial screen is searched, is calibrated as a target aperture setting, and the aperture setting of the artificial screen matrix is adjusted to the target aperture setting;

[0015] Introducing polyvinyl chloride with a width of 2 cm and a thickness of 0.2 cm, which is calibrated as a target matrix fixing material, based on the target matrix fixing material, matrix fixing treatment is performed on the periphery of the artificial screen matrix, and a target fixed artificial matrix is obtained;

[0016] The target fixed artificial matrix is subjected to surface area calculation processing, and the target fixed artificial matrix after surface area calculation is subjected to matrix pretreatment.

[0017] Further, in a preferred embodiment of the present application, the target fixed artificial matrix is subjected to surface area calculation processing, and the target fixed artificial matrix after surface area calculation is subjected to matrix pretreatment, specifically:

[0018] The target fixed artificial matrix is subjected to surface area calculation processing, wherein the surface area of the target fixed artificial matrix includes the surface area of the target matrix fixing material and the surface area of the artificial screen matrix;

[0019] The surface area of the target matrix fixing material is 23 cm x 2 cm + 14 cm x 2 cm + 23 cm x 0.2 cm + 14 cm x 0.2 cm) x 4 = 325.6 cm 2 ;

[0020] The artificial screen matrix is rolled into a cylinder, and the radius of the cylinder is set as r, based on the radius r of the cylinder, the surface area of the cylinder is calculated, and the surface area of the cylinder is combined with the surface area of the target matrix fixing material to obtain the surface area of the target fixed artificial matrix;

[0021] The target fixed artificial matrix is placed in acetone for soaking, and a target fixed artificial matrix soaking standard time is preset, when the soaking time of the target fixed artificial matrix in acetone is equal to the target fixed artificial matrix soaking standard time, the target fixed artificial matrix is rinsed with deionized water, and simultaneously subjected to drying treatment, to obtain a pretreated fixed artificial matrix.

[0022] Further, in a preferred embodiment of the present application, the target water area water sample is subjected to inspection analysis, and the target pretreated fixed artificial matrix placement position is determined in combination with the water flow state of the target water area, specifically:

[0023] A flowmeter is introduced, and the flowmeter is used to detect the turbulent intensity of different points in the target water area in real time, and the water flow direction of different points in the target water area is recorded.

[0024] In combination with the target water area water sample collected in the target water area, the turbidity of the target water area water sample is determined by a turbidimeter, and the dissolved inorganic nitrogen content and the active phosphate content of the target water area water sample are detected by a cadmium column reduction method and a molybdenum-antimony anti-spectrophotometric method, respectively;

[0025] The turbidity, dissolved inorganic nitrogen content and active phosphate content of the target water area water sample are collectively referred to as the state of the target water area water sample;

[0026] Based on a big data network, historical hotspot areas of benthic dinoflagellate algae blooms in the target water area are searched, and the historical hotspot areas of benthic dinoflagellate algae blooms in the target water area are divided into grids to obtain benthic dinoflagellate algae bloom hotspot sub-areas;

[0027] In the big data network, the growth density corresponding to different turbulent intensities and water flow directions under the state of the target water area water sample is searched, and the turbulent intensity and water flow direction corresponding to the highest growth density are selected and marked as the target turbulent intensity and water flow direction;

[0028] According to the target turbulent intensity and water flow direction, the benthic dinoflagellate algae bloom hotspot sub-area corresponding to the highest similarity of the turbulent intensity and water flow direction and the target turbulent intensity and water flow direction is searched and marked as a priority point placement area;

[0029] The topographic state of the priority point placement area is searched in the big data network, and the position of the topographic state of the priority point placement area in the reef area is selected as the placement position of the pretreated fixed artificial substrate, which is defined as the target pretreated fixed artificial substrate placement position.

[0030] Further, in a preferred embodiment of the present application, the pretreated fixed artificial substrate is deployed in the target pretreated fixed artificial substrate placement position for collecting benthic dinoflagellate algae blooms and performing quantitative processing on the collected benthic dinoflagellate algae blooms, specifically:

[0031] The pretreated fixed artificial substrate is deployed in the target pretreated fixed artificial substrate placement position, and a deployment standard time and a maximum linear displacement value are preset;

[0032] If the pretreated fixed artificial substrate is displaced within the deployment standard time, it is monitored whether the displacement value of the pretreated fixed artificial substrate is greater than the maximum linear displacement value;

[0033] If yes, the pretreated fixed artificial substrate is redeployed to ensure that the displacement value of the pretreated fixed artificial substrate is not greater than the maximum linear displacement value within the deployment standard time;

[0034] After the deployment standard time, the pretreated fixed artificial substrate is collected using a sealed self-sealing bag and salvaged onshore to obtain the pretreated fixed artificial substrate with collected benthic dinoflagellate algae blooms.

[0035] The pre-processed fixed artificial substrate with the benthic dinoflagellate algae bloom is transferred to a laboratory, and the pre-processed fixed artificial substrate with the benthic dinoflagellate algae bloom is quantitatively treated in the laboratory.

[0036] Further, in a preferred embodiment of the present application, the pre-processed fixed artificial substrate with the benthic dinoflagellate algae bloom is quantitatively treated, specifically as follows:

[0037] In the laboratory, the pre-processed fixed artificial substrate with the benthic dinoflagellate algae bloom is sampled and treated to obtain a benthic dinoflagellate algae sample.

[0038] The sampling and treatment of the benthic dinoflagellate algae is classified in the water body, and the plankton and impurities in the water body are separated by a 120 μm screen at the same time. The proportion of the benthic dinoflagellate algae sample in the pre-processed fixed artificial substrate with the benthic dinoflagellate algae bloom is calculated and marked as the target sample proportion.

[0039] A centrifuge tube carrying Lugol's reagent is introduced and marked as a target centrifuge tube. The benthic dinoflagellate algae sample is transferred to the target centrifuge tube for benthic dinoflagellate centrifugal treatment. The benthic dinoflagellate after centrifugal treatment is counted in the target centrifuge tube to obtain the abundance of the benthic dinoflagellate algae sample.

[0040] According to the abundance of the benthic dinoflagellate algae sample and the target sample proportion, the benthic dinoflagellate algae bloom is quantitatively treated.

[0041] The second aspect of the present application also provides a benthic dinoflagellate algae bloom quantitative collection system based on an artificial substrate. The benthic dinoflagellate algae bloom quantitative collection system comprises a storage and a processor. The storage stores a benthic dinoflagellate algae bloom quantitative collection method. When the benthic dinoflagellate algae bloom quantitative collection method is executed by the processor, the following steps are realized:

[0042] An artificial substrate for quantitatively treating benthic dinoflagellate algae bloom is prepared, and the effective attachment surface area of each artificial substrate is calculated. The artificial substrate is pretreated.

[0043] The water sample of the target water area is analyzed, and the water flow state of the target water area is determined to determine the placement position of the target pre-processed fixed artificial substrate.

[0044] The pre-processed fixed artificial substrate is deployed in the middle of the target pre-processed fixed artificial substrate placement position to collect the benthic dinoflagellate algae bloom and quantitatively treat the collected benthic dinoflagellate algae bloom.

[0045] The technical defects existing in the background art are solved by the present application, and the present application has the following beneficial effects: by placing artificial substrates in water, the benthic dinoflagellate algae bloom in the water is collected, so that the benthic dinoflagellate is quantitatively processed. In the collection process, by ensuring that the artificial substrates are laid in the most suitable ecological niche of the dinoflagellate, the monitoring efficiency can be significantly improved, and by strict process control, the screen window is converted into a high-efficiency quantitative tool, which provides reliable data support for the dynamic research of the benthic algae bloom, and provides important quantitative data for algae bloom warning, ecological research and environmental management. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings of other embodiments can also be obtained by those skilled in the art without creative labor.

[0047] Figure 1 A flowchart of a benthic dinoflagellate algae bloom quantitative collection method based on artificial substrates is shown;

[0048] Figure 2 A flowchart of a method for quantitatively processing the collected benthic dinoflagellate algae bloom is shown;

[0049] Figure 3 A program view of a benthic dinoflagellate algae bloom quantitative collection system based on artificial substrates is shown. DETAILED DESCRIPTION

[0050] In order to more clearly illustrate the above-mentioned purposes, features and advantages of the present application, the present application will be further described in detail below in combination with the drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0051] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, however, the present application can also be implemented in other ways different from those described herein, therefore, the scope of protection of the present application is not limited by the specific embodiments disclosed below.

[0052] Figure 1 A flowchart of a benthic dinoflagellate algae bloom quantitative collection method based on artificial substrates is shown, including the following steps:

[0053] S102: artificial substrates for quantitatively processing benthic dinoflagellate algae bloom are prepared, and the effective attachment surface area of each artificial substrate is calculated, and the artificial substrates are pretreated;

[0054] S104: Perform test analysis on the water sample of the target water area, and determine the placement position of the target pretreated fixed artificial substrate according to the flow state of the target water area;

[0055] S106: Deploy the pretreated fixed artificial substrate in the middle of the target pretreated fixed artificial substrate placement position, for collecting benthic dinoflagellate algae blooms, and performing quantitative treatment on the collected benthic dinoflagellate algae blooms.

[0056] Further, in a preferred embodiment of the present application, the artificial substrate for quantitatively collecting benthic dinoflagellate algae blooms is prepared, and the effective attachment surface area of each artificial substrate is calculated, and the substrate pretreatment is performed on the artificial substrate, specifically:

[0057] Determine the water area where the benthic dinoflagellate algae blooms need to be quantitatively collected, and mark it as the target water area, and perform water sample collection and treatment on the target water area to obtain the target water sample;

[0058] Introduce the raw material of the artificial screen window, and based on the raw material of the artificial screen window, a 23cm×18cm artificial substrate is obtained, which is used as the artificial substrate for quantitatively collecting benthic dinoflagellate algae blooms, and is marked as the artificial screen window substrate;

[0059] Introduce a big data network, and set the aperture of the artificial screen window substrate, wherein the method for setting the aperture of the artificial screen window substrate is to search in the big data network for the aperture setting with the highest usage rate in the process of manufacturing the artificial screen window substrate based on the raw material of the artificial screen window, mark it as the target aperture setting, and adjust the aperture setting of the artificial screen window substrate to the target aperture setting;

[0060] Introduce polyvinyl chloride with a width of 2cm and a thickness of 0.2cm, mark it as the target substrate fixing material, and based on the target substrate fixing material, perform substrate fixing treatment on the periphery of the artificial screen window substrate to obtain the target fixed artificial substrate;

[0061] Perform surface area calculation on the target fixed artificial substrate, and perform substrate pretreatment on the target fixed artificial substrate after surface area calculation.

[0062] It should be noted that the artificial screen window is used to collect benthic dinoflagellate algae blooms in the water area, and the artificial screen window is used as the attachment substrate of benthic dinoflagellate algae, which is an economical and practical choice with high specific surface area. The larger the surface area, the more benthic dinoflagellate algae blooms can be collected at one time. The purpose of collecting the water sample of the target water area is to determine the position where the benthic dinoflagellate algae blooms have a higher distribution density in the water area. The purpose of setting the aperture of the artificial screen window substrate is to maximize the attachment area of the benthic dinoflagellate algae blooms on the artificial screen window substrate and to increase the water flow permeability. The purpose of using polyvinyl chloride is to fix the substrate in a straight state, facilitate the extension of the substrate, and increase the adsorption of benthic dinoflagellate algae blooms.

[0063] Further, in a preferred embodiment of the present application, the surface area of the target fixed artificial substrate is calculated, and the target fixed artificial substrate after surface area calculation is pretreated, specifically:

[0064] The target fixed artificial substrate is calculated for surface area, wherein the surface area of the target fixed artificial substrate includes the surface area of the target substrate fixing material and the surface area of the artificial screen substrate;

[0065] The surface area of the target substrate fixing material is 23cm*2cm+14cm*2cm+23cm*0.2cm+14cm*0.2cm)*4=325.6cm 2 ;

[0066] The artificial screen substrate is rolled into a cylinder, and the radius of the cylinder is set as r, the surface area of the cylinder is calculated based on the radius r of the cylinder, and the surface area of the cylinder is combined with the surface area of the target substrate fixing material to obtain the surface area of the target fixed artificial substrate;

[0067] The target fixed artificial substrate is placed in acetone for soaking, and a target fixed artificial substrate soaking standard time is preset, when the soaking time of the target fixed artificial substrate in acetone is equal to the target fixed artificial substrate soaking standard time, the target fixed artificial substrate is washed with deionized water, and drying treatment is performed to obtain a pretreated fixed artificial substrate.

[0068] It should be noted that the purpose of calculating the surface area of the target fixed artificial substrate is to quantify the benthic dinoflagellate algae bloom. The surface area of the target fixed artificial substrate includes the surface area of the target substrate fixing material and the surface area of the artificial screen substrate, and the surface area of the target substrate fixing material and the surface area of the artificial screen substrate are calculated respectively. Among them, the artificial screen substrate is rolled into a cylinder, the surface area of the cylinder is calculated and combined with the surface area of the target substrate fixing material to realize the calculation of the surface area of the target fixed artificial substrate. The purpose of pretreating the target fixed artificial substrate is to remove the industrial coating and impurities on the surface of the substrate, and acetone is used to remove the industrial coating and impurities on the surface of the substrate to ensure that the benthic dinoflagellate maintains high purity during the quantitative collection process.

[0069] Further, in a preferred embodiment of the present application, the target water area water sample is analyzed, and the target pretreated fixed artificial substrate placement position is determined in combination with the water flow state of the target water area, specifically:

[0070] A flowmeter is introduced, and the flowmeter is used to detect the turbulent intensity of different points in the target water area in real time, and the water flow direction of different points in the target water area is recorded;

[0071] In combination with the target water area water sample collected in the target water area, the turbidity of the target water area water sample is determined by a turbidimeter, and the dissolved inorganic nitrogen content and active phosphate content of the target water area water sample are detected by cadmium column reduction method and molybdenum-antimony anti-spectrophotometry, respectively;

[0072] The turbidity, dissolved inorganic nitrogen content and active phosphate content of the target water area water sample are collectively referred to as the state of the target water area water sample;

[0073] Based on the big data network, the historical hotspot area of benthic dinoflagellate algae bloom in the target water area is retrieved, and the historical hotspot area of benthic dinoflagellate algae bloom in the target water area is divided into grids to obtain a benthic dinoflagellate algae bloom hotspot sub-area;

[0074] In the big data network, the growth density corresponding to different turbulence intensities and water flow directions under the state of the target water area water sample is retrieved, and the turbulence intensity and water flow direction corresponding to the highest growth density are selected as the target turbulence intensity and water flow direction;

[0075] According to the target turbulence intensity and water flow direction, the benthic dinoflagellate algae bloom hotspot sub-area corresponding to the highest similarity of turbulence intensity and water flow direction to the target turbulence intensity and water flow direction is retrieved, and is defined as the priority placement area;

[0076] The topographic state of the priority placement area is retrieved in the big data network, and the position of the topographic state of the priority placement area in the reef area is selected as the placement position of the pretreatment fixed artificial substrate, which is defined as the target pretreatment fixed artificial substrate placement position.

[0077] It should be noted that the purpose of detecting the turbulence intensity, water flow direction and water sample state of the water flow is to determine the position of the highest benthic dinoflagellate algae bloom density in the target water area. In combination with the historical hotspot area of benthic dinoflagellate algae bloom in the target water area, the positioning range can be further narrowed. The purpose of grid division is to further narrow the positioning range until a placement area is found. Under different turbulence intensities and water flow directions, and under the current water sample state, there is a turbulence intensity and water flow direction with the highest growth density, so as to retrieve the priority placement area, and preferentially select the position of the topographic state in the reef area as the placement position of the pretreatment fixed artificial substrate, because the reef area is a relatively hard topography, which is more suitable for installing and deploying the pretreatment fixed artificial substrate and is not easy to be displaced by water.

[0078] Figure 2 A flow chart of a method for quantitatively processing the collected benthic dinoflagellate algae bloom is shown, which includes the following steps:

[0079] S202: Deploying a pretreatment fixed artificial substrate in the target pretreatment fixed artificial substrate placement position for collecting benthic dinoflagellate algae bloom and quantitatively processing the collected benthic dinoflagellate algae bloom;

[0080] S204: quantitatively processing the pre-treated fixed artificial substrate with the collected benthic dinoflagellate algae bloom.

[0081] Further, in a preferred embodiment of the present application, the pre-treated fixed artificial substrate is deployed in the target pre-treated fixed artificial substrate placement position for collecting benthic dinoflagellate algae bloom, and the collected benthic dinoflagellate algae bloom is quantitatively processed, specifically:

[0082] The pre-treated fixed artificial substrate is deployed in the target pre-treated fixed artificial substrate placement position, and a deployment standard time and a maximum linear displacement value are preset;

[0083] If the pre-treated fixed artificial substrate is displaced within the deployment standard time, it is monitored whether the displacement value of the pre-treated fixed artificial substrate is greater than the maximum linear displacement value;

[0084] If yes, the pre-treated fixed artificial substrate is redeployed to ensure that the displacement value of the pre-treated fixed artificial substrate is not greater than the maximum linear displacement value within the deployment standard time;

[0085] After the deployment standard time, the pre-treated fixed artificial substrate is collected using a sealed self-sealing bag and salvaged onshore to obtain the pre-treated fixed artificial substrate with the collected benthic dinoflagellate algae bloom;

[0086] The pre-treated fixed artificial substrate with the collected benthic dinoflagellate algae bloom is transferred to the laboratory, and the pre-treated fixed artificial substrate with the collected benthic dinoflagellate algae bloom is quantitatively processed in the laboratory.

[0087] It should be noted that it is necessary to determine whether the pre-treated fixed artificial substrate is displaced after being deployed, and whether the displacement value is large. If the displacement value is large, the pre-treated fixed artificial substrate needs to be redeployed to place the pre-treated fixed artificial substrate in a position with less benthic dinoflagellate algae bloom, resulting in less collection and affecting the effect of quantitative collection. After being collected, the pre-treated fixed artificial substrate needs to be collected using a sealed self-sealing bag and salvaged onshore, which causes the loss of benthic dinoflagellate algae bloom.

[0088] Further, in a preferred embodiment of the present application, the pre-treated fixed artificial substrate with the collected benthic dinoflagellate algae bloom is quantitatively processed, specifically:

[0089] In the laboratory, the pre-treated fixed artificial substrate with the collected benthic dinoflagellate algae bloom is sampled and processed to obtain a benthic dinoflagellate algae bloom sample;

[0090] The benthic dinoflagellate bloom sampling processing is to classify the benthic dinoflagellate bloom in the water body, separate the plankton and impurities in the water body through a 120-micron screen, and calculate the proportion of the benthic dinoflagellate bloom sample in the benthic dinoflagellate bloom on the pretreated fixed artificial substrate on which the benthic dinoflagellate bloom is collected.

[0091] The centrifuge tube carrying the Lugol reagent is introduced, and the target centrifuge tube is calibrated, the benthic dinoflagellate bloom sample is transferred into the target centrifuge tube for benthic dinoflagellate centrifugal processing, and the cell count of the benthic dinoflagellate in the target centrifuge tube after centrifugal processing is obtained, so as to obtain the benthic dinoflagellate bloom sample abundance.

[0092] According to the benthic dinoflagellate bloom sample abundance and the target sample proportion, the quantitative processing of the benthic dinoflagellate bloom is realized.

[0093] It should be noted that the artificial substrate sample collected by using the self-sealing bag is quickly processed in the laboratory, and the sampling processing can be quantitatively collected in the fastest efficiency through the comparison mode. The purpose of separating the plankton and impurities in the water body through the screen is to improve the sampling accuracy, and the cell count of the benthic dinoflagellate through the microscope, and the cell abundance is expressed as cells / 100cm -2 . The benthic dinoflagellate abundance (x) is expressed by the following formula:

[0094]

[0095] Wherein, x is the cell abundance of the benthic dinoflagellate, the unit is cells / 100cm -2 , a is the cell density of the microscopic counting, the unit is cells / mL, b is the sample volume after being fixed by the Lugol reagent, the unit is mL, and Ascr is the target fixed artificial substrate surface area.

[0096] As Figure 3 shown, the second aspect of the present application also provides a benthic dinoflagellate bloom quantitative collection system based on an artificial substrate, which comprises a memory 31 and a processor 32, the memory 31 stores a benthic dinoflagellate bloom quantitative collection method, and the benthic dinoflagellate bloom quantitative collection method is executed by the processor 32 to realize the following steps:

[0097] The artificial substrate for quantifying the benthic dinoflagellate bloom is prepared, and the effective attachment surface area of each artificial substrate is calculated, and the artificial substrate is pretreated;

[0098] The target water area water sample is analyzed, and the target pretreated fixed artificial substrate placement position is determined in combination with the water flow state of the target water area;

[0099] The pre-treatment fixed artificial substrate is disposed in the middle of the target pre-treatment fixed artificial substrate placement position, used for collecting benthic dinoflagellate algae blooms, and performing quantitative treatment on the collected benthic dinoflagellate algae blooms.

[0100] The above merely illustrates the specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for quantitative collection of artificial substrate-based benthic dinoflagellate blooms, characterized by, It comprises the following steps: An artificial substrate for quantifying benthic dinoflagellate algae blooms is prepared, and the effective attachment surface area of each artificial substrate is calculated, and the artificial substrate is pretreated; The water sample of the target water area is tested and analyzed, and the target pretreated fixed artificial substrate placement position is determined according to the flow state of the target water area; The pretreated fixed artificial substrate is deployed in the middle of the target pretreated fixed artificial substrate placement position for collecting benthic dinoflagellate algae blooms, and the collected benthic dinoflagellate algae blooms are quantitatively processed.

2. The artificial substrate-based quantitative collection method of benthic dinoflagellate blooms according to claim 1, characterized in that, The artificial substrate for quantifying benthic dinoflagellate algae blooms is prepared, and the effective attachment surface area of each artificial substrate is calculated, and the artificial substrate is pretreated, specifically: Determine the water area where the benthic dinoflagellate algae blooms need to be quantitatively collected, and mark it as the target water area. The water sample of the target water area is collected and processed to obtain the target water sample. The raw material of the artificial screen window is introduced, and based on the raw material of the artificial screen window, a 23cm×18cm artificial substrate is obtained, which is used as the artificial substrate for quantifying benthic dinoflagellate algae blooms, and is marked as the artificial screen window substrate. Introduce big data network, set the aperture of the artificial screen window substrate, wherein the method for setting the aperture of the artificial screen window substrate is to search in the big data network for the aperture setting with the highest usage rate during the production of the artificial screen window substrate based on the raw material of the artificial screen window, mark it as the target aperture setting, and adjust the aperture setting of the artificial screen window substrate to the target aperture setting. Introduce polyvinyl chloride with a width of 2cm and a thickness of 0.2cm, mark it as the target substrate fixing material, and based on the target substrate fixing material, perform substrate fixing treatment on the periphery of the artificial screen window substrate to obtain the target fixed artificial substrate. The surface area of the target fixed artificial substrate is calculated, and the target fixed artificial substrate after surface area calculation is pretreated.

3. The artificial substrate-based quantitative collection method of benthic dinoflagellate blooms according to claim 2, characterized in that, The surface area of the target fixed artificial substrate is calculated, and the target fixed artificial substrate after surface area calculation is pretreated. The surface area of the target fixed artificial substrate is calculated, wherein the surface area of the target fixed artificial substrate includes the surface area of the target substrate fixing material and the surface area of the artificial screen window substrate; The surface area of the target substrate fixation material is 23 cm x 2 cm + 14 cm x 2 cm + 23 cm x 0.2 cm + 14 cm x 0.2 cm) x 4 = 325.6 cm 2 ; The artificial screen window substrate is rolled into a cylinder, and the radius of the cylinder is set as r. Based on the radius r of the cylinder, the surface area of the cylinder is calculated, and the surface area of the cylinder is combined with the surface area of the target substrate fixing material to obtain the surface area of the target fixed artificial substrate. The target fixed artificial substrate is placed in acetone for soaking, and a target fixed artificial substrate soaking standard time is preset. When the soaking time of the target fixed artificial substrate in acetone is equal to the target fixed artificial substrate soaking standard time, the target fixed artificial substrate is rinsed with deionized water, and dried to obtain the pretreated fixed artificial substrate.

4. The artificial substrate-based quantitative collection method of benthic dinoflagellate blooms according to claim 1, characterized in that, The water sample of the target water area is tested and analyzed, and the target pretreated fixed artificial substrate placement position is determined according to the flow state of the target water area, specifically: Introduce a flow velocity meter, and detect the turbulent intensity of different points in the target water area in real time through the flow velocity meter, and record the water flow direction of different points in the target water area; Combine the target water area water sample collected in the target water area, measure the turbidity of the target water area water sample by turbidimeter, and simultaneously detect the dissolved inorganic nitrogen content and active phosphate content of the target water area water sample by cadmium column reduction method and molybdenum antimony anti-spectrophotometric method respectively; The turbidity, dissolved inorganic nitrogen content and active phosphate content of the target water area water sample are collectively referred to as the state of the target water area water sample; Based on the big data network, the historical hotspot area of benthic dinoflagellate algae bloom in the target water area is retrieved, and the historical hotspot area of benthic dinoflagellate algae bloom in the target water area is divided into grids to obtain a benthic dinoflagellate algae bloom hotspot sub-area; In the big data network, the growth density corresponding to different turbulent intensity and water flow direction under the state of the target water area water sample is retrieved, and the turbulent intensity and water flow direction corresponding to the highest growth density are selected as the target turbulent intensity and water flow direction; According to the target turbulent intensity and water flow direction, the benthic dinoflagellate algae bloom hotspot sub-area corresponding to the highest similarity of turbulent intensity and water flow direction and target turbulent intensity and water flow direction is retrieved, and is defined as the priority distribution area; In the big data network, the terrain state of the priority distribution area is retrieved, and the position of the terrain state in the priority distribution area is selected as the placement position of the pretreated fixed artificial substrate, which is defined as the target pretreated fixed artificial substrate placement position.

5. The artificial substrate-based quantitative collection method of benthic dinoflagellate blooms according to claim 1, characterized in that, The pretreated fixed artificial substrate is deployed in the target pretreated fixed artificial substrate placement position for collecting benthic dinoflagellate algae bloom, and the collected benthic dinoflagellate algae bloom is quantitatively processed, specifically: The pretreated fixed artificial substrate is deployed in the target pretreated fixed artificial substrate placement position, and a deployment standard time and a maximum linear displacement value are preset; If the pretreated fixed artificial substrate exists displacement within the deployment standard time, whether the displacement value of the pretreated fixed artificial substrate is greater than the maximum linear displacement value is monitored; If yes, the pretreated fixed artificial substrate is redeployed to ensure that the displacement value of the pretreated fixed artificial substrate is not greater than the maximum linear displacement value within the deployment standard time; After the deployment standard time, the pretreated fixed artificial substrate is collected and salvaged on shore using a sealed self-sealing bag to obtain the pretreated fixed artificial substrate with collected benthic dinoflagellate algae bloom; The pretreated fixed artificial substrate with collected benthic dinoflagellate algae bloom is transferred to the laboratory, and the pretreated fixed artificial substrate with collected benthic dinoflagellate algae bloom is subjected to benthic dinoflagellate algae bloom quantitative processing in the laboratory.

6. The artificial substrate-based quantitative collection method of benthic dinoflagellate blooms according to claim 5, characterized in that, The pretreated fixed artificial substrate with collected benthic dinoflagellate algae bloom is subjected to benthic dinoflagellate algae bloom quantitative processing, specifically: In the laboratory, the pretreated fixed artificial substrate with collected benthic dinoflagellate algae bloom is subjected to benthic dinoflagellate algae bloom sampling processing to obtain a benthic dinoflagellate algae bloom sample; The benthic dinoflagellate bloom sampling processing is classifying the benthic dinoflagellate bloom in the water body, separating the plankton and impurities in the water body through a 120-micron screen, and calculating the proportion of the benthic dinoflagellate bloom sample in the pretreated fixed artificial substrate on which the benthic dinoflagellate bloom is collected. The centrifuge tube carrying Lugol's reagent is introduced, and the target centrifuge tube is calibrated. The benthic dinoflagellate bloom sample is transferred into the target centrifuge tube for benthic dinoflagellate centrifugal processing, and the cell count of the benthic dinoflagellate in the target centrifuge tube after centrifugal processing is obtained to obtain the benthic dinoflagellate bloom sample abundance. According to the benthic dinoflagellate bloom sample abundance and the target sample proportion, the quantitative processing of the benthic dinoflagellate bloom is realized.

7. A quantitative collection system of benthic dinoflagellate blooms based on artificial substrates, characterized by, The benthic dinoflagellate bloom quantitative collection system comprises a storage and a processor. The storage stores a benthic dinoflagellate bloom quantitative collection method program. When the benthic dinoflagellate bloom quantitative collection method program is executed by the processor, the benthic dinoflagellate bloom quantitative collection method steps of any one of claims 1-6 are realized.

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