Deepwater reservoir algal bloom monitoring and early warning method and system

Abstract

The invention discloses a deepwater reservoir algal bloom monitoring and early warning method and system. The method comprises the following steps: calculating a shielding area of a reservoir in a target time area; calculating the real-time temperature of the surface layer according to the temperature in the time region; calculating the irradiation depth according to the illumination intensity; generating a water bloom early warning coefficient according to the irradiation depth and the surface layer temperature; and comparing the water bloom early warning coefficient with a preset coefficient. The system comprises a shielding calculation module, a temperature calculation module, a depth calculation module and an early warning module. According to the invention, the accuracy of early warning of water blooms in the reservoir can be improved. The method can be widely applied to the field of reservoir monitoring.

Description

Technical Field

[0001] The invention relates to the field of reservoir monitoring, and in particular to a deep-water reservoir algae bloom monitoring and early warning method and system. Background Art

[0002] Deepwater reservoirs will experience seasonal water stratification. Thermal stratification affects the vertical exchange of water and the water-sediment interface environment. Thermal stratification hinders the exchange of nutrients between the upper and lower layers of water, thereby affecting the distribution of nutrients, dissolved oxygen, light, etc. in the water, causing changes in water quality and easily leading to the occurrence of algal blooms.

[0003] In summer, deepwater reservoirs will experience water stratification, causing hypoxia in the lower water and accumulation of nitrogen and phosphorus nutrient concentrations. When the thermal stratification phenomenon subsides, the endogenous load in the lower layer may diffuse to the upper layer, which may cause the release of sediment nutrients and increase the risk of eutrophication of the water body. However, the surrounding areas of deepwater reservoirs are affected by the surrounding terrain or weather. For example, the mountains around the reservoir, the dam itself, suspended matter in the water, and clouds block the sunlight. When the sun shines directly, the shadows will be cast on the reservoir, making some areas of the surface of the reservoir without direct light. The thermal stratification phenomenon that occurs in deepwater reservoirs will affect the growth of algae in the upper layer. At this time, when the nutrients of the upper and lower layers of water are exchanged, the monitoring of algal blooms needs to be more precise. Summary of the invention

[0004] In view of this, in order to solve the technical problem that the existing reservoir water bloom monitoring and early warning method does not consider the influence of environmental shadows, thereby resulting in low monitoring accuracy, the present invention proposes a deep-water reservoir water bloom monitoring and early warning method, the method comprising the following steps:

[0005] Obtain edge environment information and internal environment information of the reservoir, obtain the surface image of the reservoir, and calculate the shielded area;

[0006] Calculate the surface temperature of the reservoir by combining the temperature information of the illuminated area of ​​the reservoir and the temperature information of the shaded area of ​​the reservoir and the area of ​​the shaded area;

[0007] Calculate the illumination depth based on the light intensity, where the illumination depth is related to the clarity of the water in the reservoir;

[0008] generating an algal bloom warning coefficient according to the irradiation depth and the surface temperature;

[0009] The water bloom warning coefficient is compared with a preset threshold coefficient to generate a warning signal.

[0010] In some embodiments, the step of obtaining edge environment information and internal environment information of the reservoir, obtaining a surface image of the reservoir, and calculating the shielded area further includes:

[0011] Obtain the edge environment information and internal environment information of the reservoir. The edge environment information refers to the environment around the reservoir, that is, whether there are any obstructions. Obstructions refer to objects that block the light in part of the reservoir at a fixed angle. The internal environment refers to the environment inside the reservoir itself.

[0012] Obtaining the starting image and the ending image of the reservoir within a preset time period respectively through the detection equipment;

[0013] In combination with the environmental information, identifying and marking the occluded areas in the starting image and the ending image;

[0014] The shielding area refers to the area where the shadow of the shielding object falls into the reservoir when the sun shines on the shielding object.

[0015] The starting image and the ending image are overlapped according to the image screen, and the overlapping part of the occlusion area is used as the occlusion area.

[0016] In some embodiments, the step of calculating the surface temperature of the reservoir specifically includes:

[0017] Measuring the complete surface area of ​​the reservoir and the area of ​​the shielded area within a corresponding period of time to obtain the surface area of ​​the reservoir and the shielded area;

[0018] Using a detector to obtain the temperature of the illuminated area of ​​the reservoir and the temperature of the shielded area;

[0019] The surface temperature of the reservoir is calculated using a preset formula according to the surface area of ​​the reservoir, the shielded area, the temperature of the illuminated area and the temperature of the shielded area.

[0020] The present invention also proposes a deep-water reservoir algae bloom monitoring and early warning system, the system comprising:

[0021] A shielding calculation module is used to obtain environmental information and image information of the reservoir and calculate the shielding area;

[0022] A temperature calculation module, used to calculate the surface temperature of the reservoir by combining the temperature information and the shielding area;

[0023] A depth calculation module is used to calculate the illumination depth according to the light intensity;

[0024] The early warning module is used to generate an algae bloom early warning coefficient according to the irradiation depth and the surface temperature.

[0025] Based on the above scheme, the present invention provides a method and system for monitoring and early warning of water bloom in deep-water reservoirs, which calculates the area of ​​the shielded area of ​​the reservoir, first calculates the real-time surface temperature according to the temperature within the time period, and then calculates the irradiation depth according to the light intensity within the time period, and combines the real-time surface temperature with the irradiation depth to obtain a water bloom warning coefficient, compares the water bloom warning coefficient with a preset coefficient, and obtains a water bloom warning signal according to the comparison result, and warns of the growth of water bloom in the reservoir, thereby accurately analyzing the real-time temperature and light in the reservoir according to the surrounding environment of the reservoir, thereby improving the accuracy of the reservoir water bloom warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of the steps of a deep-water reservoir water bloom monitoring and early warning method of the present invention;

[0027] Figure 2 The invention discloses a structural block diagram of a deep-water reservoir water bloom monitoring and early warning system. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] It should be noted that, for the convenience of description, only the parts related to the relevant invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0030] It should be understood that the "system", "device", "unit" and / or "module" used in this application is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the word can be replaced by other expressions.

[0031] As shown in this application and claims, unless the context clearly indicates an exception, the words "a", "an", "a kind" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements. The elements defined by the sentence "includes a..." do not exclude the existence of other identical elements in the process, method, commodity or device that includes the elements.

[0032] In the description of the embodiments of the present application, "plurality" means two or more than two. The following terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0033] In addition, flow charts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, the various steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or a certain step or several steps of operations may be removed from these processes.

[0034] Reference Figure 1 , is a flow chart of an optional example of a deep-water reservoir water bloom monitoring and early warning method proposed in the present invention, which can be applied to computer equipment. The water bloom monitoring and early warning method proposed in this embodiment may include but is not limited to the following steps:

[0035] Step S1, obtaining environmental information and image information of the reservoir, and calculating the shielded area;

[0036] Among them, environmental information includes edge environmental information and internal environmental information. Edge environmental information refers to the environment around the reservoir, including whether there are obstructions. Obstructions refer to objects that block the light in part of the reservoir at a fixed angle, including large trees and buildings. The internal environment refers to the environment within the reservoir itself, including the depth of the reservoir and the surface area of ​​the reservoir.

[0037] Step S2, calculating the surface temperature of the reservoir by combining the temperature information and the shielding area;

[0038] Step S3, calculating the irradiation depth according to the light intensity;

[0039] The calculation formula of irradiation depth is as follows:

[0040]

[0041] Among them, ZHi represents the irradiation depth, I represents the limiting light intensity at the irradiation depth ZHi, I0 is the light intensity, K is the attenuation coefficient, and α1 is the first influence coefficient.

[0042] The temperature and light intensity here are both mean values, that is, the temperature is the average temperature in the target time period, and the light intensity is the average light intensity in the target time period;

[0043] Step S4: generating an algal bloom warning coefficient according to the irradiation depth and the surface temperature.

[0044] The calculation formula of the water bloom warning coefficient is as follows:

[0045]

[0046] Among them, TX represents the water temperature at the lower end of the reservoir, the lower end of the reservoir refers to the position below the irradiation depth Zhi, Vz represents the total volume of the reservoir, and β1 and β2 represent different proportional coefficients.

[0047] Step S5: compare the algal bloom warning coefficient with a preset threshold coefficient to generate a warning signal.

[0048] In some feasible embodiments, the step S1 specifically includes:

[0049] S1.1. Obtain environmental information of the reservoir;

[0050] S1.2. Set the unit detection time, set the start and end points of the time according to the unit detection time, and divide the day into several time zones according to the unit detection time. Select a time zone as the target time zone, and obtain the start image and end image of the target time zone through the detection device;

[0051] The detection time is set to 1 hour. The specific time at this time is 9 o'clock, so 9 o'clock is used as the starting point and 10 o'clock is used as the end point; the area between 9 o'clock and 10 o'clock is marked as the time area; the detection device in this embodiment is an image acquisition device, specifically a camera.

[0052] S1.3, respectively identifying and marking the occluded areas in the start image and the end image, where the occluded area refers to the area where the shadow of the occluded object falls into the reservoir when the sun shines on the occluded object;

[0053] S1.4. Overlap the start image and the end image according to the image screen. At this time, the occluded area in the start image and the occluded area in the end image will also overlap. The overlapping area is marked as the occluded area.

[0054] Since the position of the sun changes at different times, the occluded areas in the start image and the end image will change with the change of the sun's position, so there is a difference in the occluded areas between the start image and the end image;

[0055] In some feasible embodiments, the step S2 specifically includes:

[0056] S2.1. Measure the surface area of ​​the reservoir and the area of ​​the shielded area to obtain the surface area of ​​the reservoir and the shielded area;

[0057] The surface area of ​​the reservoir refers to the complete area of ​​the reservoir surface. The shielded area is measured by using an image measurement and analysis method combined with a professional tool for area measurement. The professional tool in this embodiment is ImageJ software, and its specific area measurement method is a prior art, which will not be described in detail here.

[0058] S2.2, obtaining the temperature of the illuminated area and the temperature of the shaded area of ​​the reservoir;

[0059] S2.3. Calculate the surface temperature of the reservoir according to the surface area of ​​the reservoir, the shielded area, the temperature of the illuminated area and the temperature of the shielded area.

[0060] The calculation formula of the surface temperature of the reservoir is as follows:

[0061]

[0062] S gi =S q -S zi

[0063] Among them, T si represents the real-time surface temperature of the reservoir in time period i, S q Represents the surface area of ​​the reservoir, S gi represents the area of ​​the illuminated area in time period i, S zi represents the shielding area in time period i, T 1i represents the temperature of the illuminated area during time period i, T 2i The temperature of the shielded area in time period i, α1 represents the first influence coefficient.

[0064] In some embodiments, the step S5 specifically includes:

[0065] The water bloom warning coefficient of the target time period i is compared with the preset coefficient X1. When the water bloom warning coefficient is greater than or equal to the preset coefficient X1, a water bloom warning signal is generated and transmitted to the equipment terminal of the relevant management personnel. The equipment terminal generates sound and light reminder information from the water bloom warning signal to remind the management personnel to further confirm the water bloom warning signal. Conversely, when the water bloom warning coefficient is less than the preset coefficient X1, it indicates that the water bloom detection is normal and the preset coefficient X1 is the threshold.

[0066] like Figure 2 As shown, a deep-water reservoir algal bloom monitoring and early warning system comprises:

[0067] A shielding calculation module is used to obtain environmental information and image information of the reservoir and calculate the shielding area;

[0068] A temperature calculation module, used to calculate the surface temperature of the reservoir by combining the temperature information and the shielding area;

[0069] A depth calculation module is used to calculate the illumination depth according to the light intensity;

[0070] The early warning module is used to generate an algae bloom early warning coefficient according to the irradiation depth and the surface temperature.

[0071] The contents of the above method embodiments are all applicable to the present system embodiments. The functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0072] A deep-water reservoir algae bloom monitoring and early warning device:

[0073] at least one processor;

[0074] at least one memory for storing at least one program;

[0075] When the at least one program is executed by the at least one processor, the at least one processor implements the deep-water reservoir algae bloom monitoring and early warning method as described above.

[0076] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0077] A storage medium stores instructions executable by a processor, wherein the instructions executable by the processor are used to implement the above-mentioned deep-water reservoir water bloom monitoring and early warning method when executed by the processor.

[0078] The contents of the above method embodiments are all applicable to the present storage medium embodiments. The functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0079] The above is a specific description of the preferred implementation of the present invention, but the invention is not limited to the embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A deep-water reservoir algal bloom monitoring and early warning method, characterized in that: The following steps are involved: Obtain environmental information and image information of the reservoir and calculate the shielded area; Calculate the surface temperature of the reservoir by combining the temperature information and the shielded area; Calculate the irradiation depth based on the light intensity; An algal bloom warning coefficient is generated according to the irradiation depth and the surface temperature.

2. A deep-water reservoir algae bloom monitoring and early warning method according to claim 1, characterized in that: The step of obtaining the environmental information and image information of the reservoir and calculating the shielded area specifically includes: Obtain environmental information about the reservoir; Obtain the starting image and ending image of the reservoir within the time period; In combination with the environmental information, identifying and marking the occluded areas in the starting image and the ending image; The starting image and the ending image are overlapped according to the image screen to obtain a masked area.

3. A deep-water reservoir algae bloom monitoring and early warning method according to claim 1, characterized in that: The step of combining the temperature information and the shielding area to calculate the surface temperature of the reservoir specifically includes: Measuring the surface area of ​​the reservoir and the area of ​​the shielded area to obtain the surface area of ​​the reservoir and the shielded area; Obtaining the temperature of the illuminated area of ​​the reservoir and the temperature of the shaded area; The surface temperature of the reservoir is calculated according to the surface area of ​​the reservoir, the shaded area, the temperature of the illuminated area and the temperature of the shaded area.

4. A deep-water reservoir algae bloom monitoring and early warning method according to claim 1, characterized in that: The calculation formula of the surface temperature of the reservoir is as follows: S gi =S q -S zi Among them, T si represents the real-time surface temperature of the reservoir in time period i, S q Represents the surface area of ​​the reservoir, S gi represents the area of ​​the illuminated area in time period i, S zi represents the shielding area in time period i, T 1i represents the temperature of the illuminated area during time period i, T 2i The temperature of the shielded area in time period i, α1 represents the first influence coefficient.

5. A deep-water reservoir algae bloom monitoring and early warning method according to claim 4, characterized in that: The calculation formula of the irradiation depth is as follows: Among them, ZHi represents the irradiation depth, I represents the limiting light intensity at the irradiation depth ZHi, I0 is the light intensity, K is the attenuation coefficient, and α1 is the first influence coefficient.

6. A deep-water reservoir algae bloom monitoring and early warning method according to claim 5, characterized in that: The calculation formula of the water bloom warning coefficient is as follows: Among them, TX represents the water temperature at the lower end of the reservoir, Vz represents the total volume of the reservoir, and β1 and β2 represent different proportional coefficients.

7. A deep-water reservoir algae bloom monitoring and early warning method according to claim 1, characterized in that: Also includes: The water bloom warning coefficient is compared with a preset threshold coefficient to generate a warning signal.

8. A deep-water reservoir algal bloom monitoring and early warning system, characterized in that: include: A shielding calculation module is used to obtain environmental information and image information of the reservoir and calculate the shielding area; A temperature calculation module, used to calculate the surface temperature of the reservoir by combining the temperature information and the shielding area; A depth calculation module is used to calculate the illumination depth according to the light intensity; The early warning module is used to generate an algae bloom early warning coefficient according to the irradiation depth and the surface temperature.

9. A deep-water reservoir algae bloom monitoring and early warning device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the deep-water reservoir algal bloom monitoring and early warning method as described in any one of claims 1 to 7.

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