Data analysis method for greenhouse gas emission flux of aerated water surface

Abstract

The invention discloses a data analysis method for greenhouse gas emission flux on an aerated water surface, and belongs to the technical field of gas detection.The method comprises the steps that a floating static box is arranged on the aerated water surface in a floating mode, and two exhaust ports of the floating static box are communicated with an air inlet of an online gas detector and the atmosphere respectively; the floating static box is used for collecting gas brought by bubbles on the aerated water surface, and the gas online detector is used for detecting the gas in the floating static box; and correcting the data detected by the gas online detector. According to the data analysis method for the aeration water surface greenhouse gas emission flux, detection of the aeration water surface gas emission flux can be achieved, particularly, for sewage treatment plant biochemical pool aeration water surface greenhouse gas emission, through data correction and a special algorithm, deviation can be reduced, and the detection accuracy is improved. The accuracy and the application range of the detection method are improved.

Description

Technical Field

[0001] The present invention relates to the field of gas detection technology, and in particular to a data analysis method for greenhouse gas emission flux from an aerated water surface. Background Art

[0002] Currently, carbon dioxide ( )、Methane( ) and nitrous oxide ( ) are the three most important greenhouse gases. In the sewage treatment system, these three gases are significantly emitted. It is mainly produced by the aerobic respiration of microorganisms that decomposes and utilizes organic matter. Mainly produced during the anaerobic treatment process, The generation of organic matter in municipal sewage treatment plants is relatively complex and occurs in different links. According to the IPCC (Intergovernmental Panel on Climate Change) rules, for municipal sewage treatment plants, organic matter in the influent is mainly of biological origin. Currently, countries generally do not consider the biological origin of municipal sewage treatment plants. To supervise, and have become the two greenhouse gases that the sewage treatment industry is more concerned about. However, many scholars are also studying the Conduct research to identify and quantify fossil sources On the one hand, it serves as basic data for the research and development of energy-saving and low-carbon sewage treatment processes.

[0003] For sewage treatment plants and The IPCC currently recommends the use of emission factor method, which is to take the BOD (biochemical oxygen demand) and total nitrogen removal (in kg) of the sewage plant as the base, and multiply them by Emission factor (in kg- / kg-BOD) and Emission factor (in kg- / kg-TN), it is estimated and The value of the emission factor is the key, and there is no unified standard at present. The IPCC statistical literature data gives the reference range of emission factors for different treatment processes. However, the sewage treatment system is relatively complex and has many influencing factors. Different sewage treatment plants with the same process may also have significant differences in greenhouse gas emissions. Therefore, it is necessary to conduct a survey on a certain number of representative sewage treatment plants at this stage. and The greenhouse gas emissions were measured and summarized and The emission rules of other gases.

[0004] Many research results have found that The discharge is mainly concentrated in the aerobic pool, where the aeration bubbles in the aerobic pool remove the dissolved Bring out, A higher proportion is also discharged from aerobic pools, but The emission in aerobic pools may not be stable and there are many influencing factors. Therefore, for aerated water surfaces represented by aerobic pools in sewage treatment plants, the key to achieving large-scale actual measurements is to develop a simple and fast method for detecting greenhouse gas emission fluxes with high accuracy. Summary of the invention

[0005] The invention discloses a method for detecting and analyzing data of greenhouse gas emission flux from an aerated water surface.

[0006] The technical solution adopted by the present invention to solve the above technical problems is: Based on the above purpose, the present invention discloses a method for detecting and analyzing greenhouse gas emission flux from an aerated water surface, comprising the following steps: The floating static box is floated on the aerated water surface, and the two exhaust ports of the floating static box are connected to the air inlet of the gas online detector and the atmosphere respectively; The floating static box collects gas brought in by bubbles on the aerated water surface, and the gas online detector continuously detects the concentration of one or more gases to be tested in the floating static box, wherein at least one gas has a greater emission flux stability than other gases during the detection period, and the gas with greater emission flux stability and higher concentration is selected as the first gas to be tested; The data detected by the gas online detector is corrected and analyzed to obtain the emission flux of the gas to be tested on the water surface covered by the floating static box.

[0007] In one embodiment, the steps of continuously detecting the concentration of one or more gases to be tested in the floating static box by the gas online detector include: When the concentration of the first gas to be measured in the floating static box increases continuously with the replacement of the gas in the floating static box, a differential relationship 1 can be established as follows: ; Formula (1) in, is the volume of the space enclosed by the floating static box and the water surface, is the total flow of gas in the aeration bubbles covering the water surface of the floating static tank, is the concentration of the first gas to be measured in the floating static box, is the concentration of the first gas to be tested in the bubble, t is the time since the start of the self-test, To detect the concentration of the first gas to be tested in the floating static box at startup; For the differential relationship 1 Integrating the initial conditions, we get Equation 2, as follows: ; Formula (2) Using the output of the gas online detector The data sequence is fitted to equation 2 by computer, and we can get and , and The product of is the emission flux of the first gas to be measured on the water surface covered by the floating static box.

[0008] In one embodiment, the step of correcting the data detected by the gas online detector includes: When the first gas to be tested is introduced into the floating static box, the differential relationship 3 is established as follows: ; Formula (3) in, The concentration of the first gas to be measured in the gas chamber of the gas online detector, that is, the reading of the gas online detector; is the volume of the air chamber, is the sampling flow rate of the gas online detector, that is, the flow rate of gas entering the gas chamber; The value is shown in Formula 2. Substituting it into Formula 3, we can get Formula 4, as follows: ; Formula (4) Formula 4 is a differential equation, Solving the equation for the initial condition gives Equation 5, as follows: ; Formula (5) Formula 6 can be obtained from Formula 2 and Formula 5, as follows: Formula (6) Use formula 6 to measure the output of the gas online detector The data series is corrected. The specific steps are: 1) Use The data sequence is fitted according to formula 2, and we get and ; 2) The obtained , Substituting other known parameters into Equation 6, The data sequence is corrected to obtain data sequence.

[0009] In one embodiment, using Corrected concentration value sequence Use formula 2 to fit again and get the corrected and ,Will and The multiplication of the two is used to obtain the corrected emission flux of the first gas to be measured on the water surface covered by the floating static box.

[0010] In one embodiment, the first gas to be measured is .

[0011] In one embodiment, the emission flux of the second gas to be measured is calculated using the first gas to be measured.

[0012] In one embodiment, the step of calculating the emission flux of the second gas to be measured by using the first gas to be measured includes: The gas online detector can simultaneously detect the concentration of the first gas to be tested and the second gas to be tested, and obtain (n+1) sets of data through continuous detection, as follows: ( ), ; Formula (7) in, For time, ; and The time concentration data of the first gas to be measured and the second gas to be measured; Using the concentration sequence of the first gas to be measured, we can obtain and ; The mth ( ) time interval (i.e. to During the time period, the average concentration of the second gas to be measured in the gas brought into the floating static box by the aeration bubbles is recorded as The average concentration of the second gas to be measured in the gas flowing out of the static box through the two air holes is recorded as , we can get formula 8, as follows: ; Formula (8) According to the material balance, formula 9 can be obtained as follows: ; Formula (9) Substituting equation 9 into equation 8, we can get equation 10, as follows: ; Formula (10) make , then a set of data sequences of n can be obtained, as shown in formula 11: ( ), ; Formula (11) by For weight pair Calculate the weighted average (see formula 12) to obtain the average concentration of the second gas to be tested in the aeration bubble within the total detection time range (T represents the total time). ; If they are the same, you can directly Take the average value; Formula (12) and the aeration flow rate obtained from the first gas to be measured By multiplying them, the emission flux of the second gas to be tested on the water surface covered by the static box during this period can be obtained.

[0013] In one embodiment, when t gradually increases, in Formula 7, will gradually increase and approach , calculate the last number The average value of The deviation should be less than 5%.

[0014] In one embodiment, the second gas to be measured is or .

[0015] In one embodiment, the data analysis method for greenhouse gas emission flux from aerated water surface further comprises: Before the gas online detector detects the gas in the floating static box, the gas in the floating static box is mixed.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The data analysis method of greenhouse gas emission flux from an aerated water surface disclosed in the present invention comprises the following steps: floating a floating static box on an aerated water surface, and connecting two exhaust ports of the floating static box to an air inlet of an online gas detector and the atmosphere respectively; the floating static box collects gas brought in by bubbles on the aerated water surface, and the online gas detector detects the gas in the floating static box; and correcting the data detected by the online gas detector.

[0017] The data analysis method for greenhouse gas emission flux from aerated water surface disclosed in the present invention can detect the emission flux of aerated water surface gas, and by correcting the data, the deviation can be reduced, thereby effectively avoiding the situation where the exponential curve trend at the starting point does not match. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram showing a data analysis method for greenhouse gas emission flux from an aerated water surface disclosed in an embodiment of the present invention in Example 1; Figure 2 The figure shows the value before correction in Example 1. Schematic diagram of concentration curve; Figure 3 The modified example 1 is shown. Schematic diagram of concentration curve; Figure 4 A schematic diagram showing a method for analyzing data of greenhouse gas emission flux from an aerated water surface disclosed in an embodiment of the present invention in Example 2; Figure 5 The method of patent 2022105348805 is used to detect the Schematic diagram of a concentration curve with fluctuations in concentration and large deviations from the exponential curve; Figure 6 The method of patent 2022105348805 is used to detect the Schematic diagram of the concentration curve with a large deviation from the exponential curve due to instantaneous concentrated emission. DETAILED DESCRIPTION

[0019] In order to make the technical personnel in the technical field to which the present application belongs to understand the present application more clearly, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings 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 the field without creative work are within the scope of protection of the present application.

[0020] In addition, the present application may repeat reference numbers and / or reference letters in different examples, and such repetition is for the purpose of simplicity and clarity, and does not in itself indicate the relationship between the various embodiments and / or settings discussed. In addition, the present application provides various specific examples of processes and materials, but those of ordinary skill in the art may recognize the application of other processes and / or the use of other materials.

[0021] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0022] The present invention is further described in detail below through specific implementation examples in conjunction with the accompanying drawings.

[0023] Embodiment 1: Generally speaking, the concentration curve obtained by the method described in Patent 2022105348805 is an exponential curve with an upward convex shape, that is, the concentration curve is steeper at the beginning of the detection (i.e., the gas concentration increases faster), and then approaches a fixed value (i.e., the gas concentration in the aeration bubble). The accuracy of the concentration data in the initial stage is the most important, and has a greater impact on the aeration flow obtained by the fitting method.

[0024] For the aeration water surface of the aerobic tank in the sewage treatment plant, the aeration bubbles The concentration fluctuation is small (the fluctuation of the concentration value described in this patent refers to the fluctuation within a short period of time, such as 30 minutes). The method described in Patent 2022105348805 can be used to measure the concentration in the static box. The concentration curve is as follows Figure 2 As shown, however, the concentration curve obtained by the method described in Patent 2022105348805 will show a trend that is inconsistent with the exponential curve at the starting point, that is, it is concave in the initial short period of time. This anomaly will cause the aeration flow rate Q obtained by fitting to be too low. In addition, the initial concentration obtained by substituting the fitting result into formula (2) is It may also be lower or even negative, which is inconsistent with reality.

[0025] To this end, the present application discloses a data analysis method for greenhouse gas emission flux from aerated water surfaces. The method combines a floating static box with a gas online detector and corrects the data to achieve high-precision measurement and data analysis of greenhouse gas emission flux from aerated water surfaces, thereby avoiding the situation where the concentration curve does not conform to the exponential curve trend at the starting point.

[0026] See also Figures 1 to 3 The embodiment of the present invention discloses a data analysis method for greenhouse gas emission flux of aerated water surface, comprising the following steps: S1: float a floating static box on the aerated water surface, and connect two exhaust ports of the floating static box to the air inlet of the gas online detector and the atmosphere respectively.

[0027] S2: The floating static box collects gas brought in by bubbles on the aerated water surface. Before the gas online detector detects the gas in the floating static box, the gas in the floating static box is mixed by a fan or other device. Then, the gas online detector continuously detects the concentration of one or more gases to be tested in the floating static box. Among them, the emission flux stability of at least one gas during the detection period is greater than that of other gases. The gas with large emission flux stability and higher concentration is selected as the first gas to be tested.

[0028] The steps of continuously detecting the concentration of one or more gases to be tested in the floating static box by the gas online detector include: After the floating static box is placed on the water surface, as the aeration bubbles containing the first gas to be measured continuously flow in, the air in the floating static box is gradually replaced. When the concentration of the first gas to be measured in the floating static box continuously increases with the replacement of the gas in the floating static box, a differential relationship 1 is established, as follows; ; Formula (1) in, is the volume of the space enclosed by the floating static box and the water surface, is the total flow of gas in the aeration bubbles covering the water surface of the floating static tank, is the concentration of the first gas to be measured in the floating static box, is the concentration of the first gas to be tested in the bubble, t is the time since the start of the self-test, To detect the concentration of the first gas to be tested in the floating static box at startup; For the differential relationship 1 Integrating the initial conditions, we obtain Relation 2, as follows: ; Formula (2) Using the output of the gas online detector The data sequence is fitted to equation 2 by computer, and we can get and , and The product of is the emission flux of the first gas to be measured on the water surface covered by the floating static box.

[0029] S3: Correcting and analyzing the data detected by the gas online detector to obtain the emission flux of the gas to be tested on the water surface covered by the floating static box.

[0030] The step of correcting the data detected by the gas online detector comprises: There is an air chamber in the gas online detector. When starting the test, the gas online detector uses an air pump to extract the gas in the floating static box into the gas chamber of the gas online detector. Since the volume of the air chamber is small, it can be approximately considered that the gas in the air chamber is in a fully mixed state. When the first gas to be tested is introduced into the floating static box, the differential relationship 3 is established as follows: ; Formula (3) in, The concentration of the first gas to be measured in the gas chamber of the gas online detector, that is, the reading of the gas online detector; is the volume of the air chamber, It is the sampling flow rate of the gas online detector, that is, the flow rate of gas entering the gas chamber.

[0031] The numerical value is shown in Formula 2. Substituting Formula 2 into Formula 3 gives Formula 4, as follows: ; Formula (4) Formula 4 is a differential equation, Solving the equation for the initial conditions and transforming it yields Equation 5, as follows: Formula (5) Formula 6 can be obtained from Formula 2 and Formula 5, as follows: Formula (6) Use formula 6 to measure the output of the gas online detector The data sequence can be corrected to reduce the error caused by the volume of the gas chamber, and the actual concentration of the first gas to be measured in the static box at the corresponding time can be obtained more accurately. .

[0032] The specific steps are: 1) First use The data sequence is fitted according to formula 2, and we get and According to practical operation experience and theoretical analysis, the and There is a small deviation from the true value; 2) The obtained , Substituting other known parameters into Equation 6, The data sequence is corrected to obtain data sequence.

[0033] 3) Use Corrected concentration value sequence Use formula 2 to fit again and get the corrected and ,Will and The multiplication of the two is used to obtain the corrected emission flux of the first gas to be measured on the water surface covered by the floating static box.

[0034] The concentration value output by the data analysis method of online aeration water surface greenhouse gas emission flux using formula 6 The sequence is corrected.

[0035] The data analysis method for greenhouse gas emission flux from aerated water surface disclosed in the present application can detect the emission flux of aerated water surface gas, and by correcting the data, the deviation can be reduced, thereby effectively avoiding the situation where the exponential curve trend at the starting point does not match.

[0036] In one embodiment, when the exhaust port of the gas online detector and the floating static box are both connected to the outside, the position of the floating static box for connecting to the gas online detector is spaced from the position of the floating static box for connecting to the outside. Moreover, the sum of the gas flow rate delivered from the floating static box to the gas online detector and the gas flow rate discharged from the floating static box to the outside is the gas flow rate brought into the floating static box by the bubbles on the aerated water surface.

[0037] It should be noted that, for the detection of greenhouse gas flux on aerated water surface, the present invention establishes a mathematical model with the concentration ρ of the gas to be measured and the total gas flow Q as main parameters, and uses the continuously detected data to fit the above parameters to obtain the emission flux of the gas to be measured.

[0038] In terms of operation, for the aerated water surface, the exhaust port of the gas online detector and the floating static box are directly connected to the atmosphere. The bubbles on the aerated water surface enter the floating static box, and at the same time, part of the gas in the floating static box is pumped into the gas online detector by the sampling air pump for analysis, and part is discharged from another vent of the floating static box. As mentioned above, the local resistance of the exhaust port of the floating static box is low, that is, the air pressure in the floating static box is basically balanced with the external atmospheric pressure, so that the air pressure in the floating static box is stable. This is equivalent to the mixed gas in the floating static box being continuously replaced by the gas brought in by the aeration bubbles.

[0039] In one embodiment, the corrected concentration value sequence is used to fit the equation 2 again to obtain ,Will and The multiplication of the two is used to obtain the corrected emission flux of the first gas to be measured on the water surface covered by the floating static box.

[0040] In one embodiment, the first gas to be measured is .because The concentration fluctuation is small, so we can first Conduct testing.

[0041] Embodiment 2: When testing greenhouse gases on the aeration water surface of a sewage treatment plant, the bubbles on the aeration water surface and The concentration of The concentration fluctuation is more obvious, and there may even be concentrated emissions in a short period of time of a few seconds. The relationship between concentration and time may appear as follows Figure 5 or Figure 6 Specifically, Figure 5 , Although the data curve is in the form of an exponential curve as a whole, the deviation is large; Figure 6 , may be due to The concentration of increases instantly and significantly, causing a local peak in the data curve. The above situation cannot be calculated according to the method described in patent 2022105348805 Emission flux.

[0042] For this purpose, see Figure 4 The present application discloses a data analysis method for greenhouse gas emission flux of aerated water surface, comprising the following steps: S1: float a floating static box on the aerated water surface, and connect two exhaust ports of the floating static box to the air inlet of the gas online detector and the atmosphere respectively.

[0043] S2: The floating static box collects gas brought in by bubbles on the aerated water surface. Before the gas online detector detects the gas in the floating static box, the gas in the floating static box is mixed by a fan or other device. Then, the gas online detector continuously detects the concentration of one or more gases to be tested in the floating static box. Among them, the emission flux stability of at least one gas during the detection period is greater than that of other gases. The gas with large emission flux stability and higher concentration is selected as the first gas to be tested.

[0044] The steps of continuously detecting the concentration of one or more gases to be tested in the floating static box by the gas online detector include: After the floating static box is placed on the water surface, as the aeration bubbles containing the first gas to be measured continuously flow in, the air in the floating static box is gradually replaced. When the concentration of the first gas to be measured in the floating static box continuously increases with the replacement of the gas in the floating static box, a differential relationship 1 is established, as follows; ; Formula (1) in, is the volume of the space enclosed by the floating static box and the water surface, is the total flow of gas in the aeration bubbles covering the water surface of the floating static tank, is the concentration of the first gas to be measured in the floating static box, is the concentration of the first gas to be tested in the bubble, t is the time since the start of the self-test, To detect the concentration of the first gas to be detected in the floating static box when starting.

[0045] For the differential relationship 1 Integrating the initial conditions, we obtain Relation 2, as follows: ; Formula (2) Using the output of the gas online detector The data sequence is fitted to equation 2 by computer, and we can get and , and The product of is the emission flux of the first gas to be measured on the water surface covered by the floating static box.

[0046] S3: Correcting and analyzing the data detected by the gas online detector to obtain the emission flux of the gas to be tested on the water surface covered by the floating static box.

[0047] The step of correcting the data detected by the gas online detector comprises: The gas online detector has an air chamber. When starting the test, the gas online detector uses an air pump to extract the gas in the floating static box to the gas chamber of the gas online detector. Since the volume of the gas chamber is small, it can be approximately considered that the gas in the gas chamber is in a fully mixed state. For the concentration of the first gas to be tested in the gas chamber, the differential relationship equation 3 can be established with reference to equation 1, as follows: ; Formula (3) in The concentration of the first gas to be measured in the gas chamber of the gas online detector, that is, the reading of the gas online detector; is the volume of the air chamber, It is the sampling flow rate of the gas online detector, that is, the flow rate of gas entering the gas chamber.

[0048] The value is shown in Formula 2. Substituting it into Formula 3, we can get Formula 4, as follows: ; Formula (4) Formula 4 is a differential equation, Solving the equation for the initial condition gives Equation 5, as follows: ; Formula (5) From equation 2 and equation 5, we can get equation 6 ; Formula (6) The output of the gas online detector can be obtained by using formula 6 The data sequence can be corrected to reduce the error caused by the volume of the gas chamber, and the actual concentration of the first gas to be measured in the static box at the corresponding time can be obtained more accurately. .

[0049] The specific steps are: 1) First use The data sequence is fitted according to formula 2, and we get and According to practical operation experience and theoretical analysis, the and There is a small deviation from the true value.

[0050] 2) The obtained , Substituting other known parameters into Equation 6, The data sequence is corrected to obtain data sequence.

[0051] 3) Use Corrected concentration value sequence Use formula 2 to fit again and get the corrected and ,Will and The multiplication of the two is used to obtain the corrected emission flux of the first gas to be measured on the water surface covered by the floating static box.

[0052] S4: Calculate the emission flux of the second gas to be measured using the first gas to be measured.

[0053] The step of calculating the emission flux of the second gas to be measured by using the first gas to be measured comprises: The gas online detector can detect the concentration of the first gas to be tested and the second gas to be tested at the same time, and obtain n+1 sets of data through continuous detection, as follows: ( ), ; Formula (7) in, For time, ; and The time concentration data of the first gas to be measured and the second gas to be measured; Using the concentration sequence of the first gas to be measured, according to equation 2 and equation 5, we can obtain and .

[0054] Any mth ( ) time interval (i.e. to During the time period, the average concentration of the second gas to be measured in the gas in the floating static box brought by the aeration bubbles is recorded as The average concentration of the second gas to be measured in the gas flowing out of the static box through the two air holes is recorded as , since the time interval is short, we can approximate Equation 8 as follows: ; Formula (8) According to the principle of material conservation, equation 9 can be obtained as follows: ; Formula (9) Substituting formula (8) into formula (9) yields formula 10, as follows: ; Formula (10) make , then a set of data sequences of n can be obtained, as shown in formula 11: ( ), ; Formula (11) by For weight pair By calculating the weighted average (see formula 12), the average concentration of the second gas to be measured in the aeration bubbles within the total time range of the test can be obtained. .generally Same, can be directly Take the average.

[0055] ; Formula (12) Among them, T is the total detection time, and the aeration flow rate obtained from the first gas to be measured By multiplying them, the emission flux of the second gas to be tested on the water surface covered by the static box during this period can be obtained.

[0056] The data analysis method for greenhouse gas emission flux from aerated water surface disclosed in the present application can detect the emission flux of aerated water surface gas, and by correcting the data and calculating the emission flux of the second gas to be measured using the first gas to be measured with smaller concentration fluctuations, the emission flux calculation of the second gas to be measured can be made more accurate and the error can be reduced to a certain extent.

[0057] In one embodiment, when t gradually increases, will gradually increase and approach ,calculate The average value of The difference should not exceed 5%. In one embodiment, the average value of the last 5 numbers can be calculated, which can basically accurately meet the data requirements. Of course, taking 5 numbers for average value calculation is only one embodiment of this embodiment. In other embodiments, taking 4, 6 or more data for average value calculation is also possible. The specific number of numbers taken for average value calculation can be adjusted according to the number of total data points. When the number of total data points is large, more data can be taken for average value calculation; when the total data points are small, less data can be taken for average value calculation.

[0058] In one embodiment, it was found during the actual measurement that the aeration bubbles The absolute value and stability of concentration are usually much higher than and The accuracy of the flow rate value obtained by fitting the concentration data should also be higher than and Therefore, in the detection and Concentration can be detected at the same time The concentration of The aeration flow rate Q is obtained by fitting the exponential curve generated by the concentration data. or For gases with constant concentration fluctuations, the average concentration can be calculated by the "segmented averaging" method, and multiplied by the calculated flow rate Q to obtain or Therefore, the second gas to be measured can be or .

[0059] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described above in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0060] Therefore, the above detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0062] In the description of the present invention, it should be understood that the terms indicating orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the wearable anti-thrombotic pressure pump detection system or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0063] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] In the present invention, unless otherwise clearly specified and limited, a first feature being above or below a second feature may include the first and second features being in direct contact, or may include the first and second features not being in direct contact but being in contact through another feature between them. Moreover, a first feature being above, above, and above a second feature includes the first feature being directly above and obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being below, below, and below a second feature includes the first feature being directly below and obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0065] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0066] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A data analysis method for greenhouse gas emission flux from aerated water surface, characterized in that: The steps include: The floating static box is floated on the aerated water surface, and the two exhaust ports of the floating static box are connected to the air inlet of the gas online detector and the atmosphere respectively; The floating static box collects gas brought in by bubbles on the aerated water surface, and the gas online detector continuously detects the concentration of one or more gases to be tested in the floating static box, wherein at least one gas has a greater emission flux stability than other gases during the detection period, and the gas with greater emission flux stability and higher concentration is selected as the first gas to be tested; The data detected by the gas online detector is corrected and analyzed to obtain the emission flux of the gas to be tested on the water surface covered by the floating static box.

2. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 1 is characterized in that: The steps of continuously detecting the concentration of one or more gases to be tested in the floating static box by the gas online detector include: When the concentration of the first gas to be measured in the floating static box increases continuously with the replacement of the gas in the floating static box, a differential relationship 1 is established as follows: ; Formula (1) in, is the volume of the space enclosed by the floating static box and the water surface, is the total flow of gas in the aeration bubbles covering the water surface of the floating static tank, is the concentration of the first gas to be measured in the floating static box, is the concentration of the first gas to be tested in the bubble, t is the time since the start of the self-test, To detect the concentration of the first gas to be tested in the floating static box at startup; For the differential relationship 1 Integrating the initial conditions, we get Equation 2, as follows: ; Formula (2) Using the output of the gas online detector The data sequence is fitted to equation 2 by computer, and we can get and , and The product of is the emission flux of the first gas to be measured on the water surface covered by the floating static box.

3. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 2 is characterized in that: The step of correcting the data detected by the gas online detector comprises: When the first gas to be tested is introduced into the floating static box, the differential relationship 3 is established as follows: ; Formula (3) in, The concentration of the first gas to be measured in the gas chamber of the gas online detector, that is, the reading of the gas online detector; is the volume of the air chamber, is the sampling flow rate of the gas online detector, that is, the flow rate of gas entering the gas chamber; The value is shown in Formula 2. Substituting it into Formula 3, we can get Formula 4, as follows: ; Formula (4) Formula 4 is a differential equation, Solving the equation for the initial condition gives Equation 5, as follows: ; Formula (5) Formula 6 can be obtained from Formula 2 and Formula 5, as follows: Formula (6) Use formula 6 to measure the output of the gas online detector The data series is corrected. The specific steps are: 1) Use The data sequence is fitted according to formula 2, and we get and ; 2) The obtained , Substituting other known parameters into Equation 6, The data sequence is corrected to obtain data sequence.

4. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 3 is characterized in that: Use Corrected concentration value sequence Use formula 2 to fit again and get the corrected and ,Will and The multiplication of the two is used to obtain the corrected emission flux of the first gas to be measured on the water surface covered by the floating static box.

5. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 3 is characterized in that: The first gas to be tested is .

6. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 5, characterized in that: The emission flux of the second gas to be measured is calculated using the data of the first gas to be measured.

7. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 6 is characterized in that: The step of calculating the emission flux of the second gas to be measured by using the first gas to be measured comprises: The gas online detector can simultaneously detect the concentration of the first gas to be tested and the second gas to be tested, and obtain (n+1) sets of data through continuous detection, as follows: ( ), ; Formula (7) in, For time, ; and The time concentration data of the first gas to be measured and the second gas to be measured; Using the concentration sequence of the first gas to be measured, we can obtain and ; The mth ( ) time interval (i.e. to During the time period, the average concentration of the second gas to be measured in the gas brought into the floating static box by the aeration bubbles is recorded as The average concentration of the second gas to be measured in the gas flowing out of the static box through the two air holes is recorded as , we can get formula 8, as follows: ; Formula (8) According to the material balance, formula 9 can be obtained as follows: ; Formula (9) Substituting equation 9 into equation 8, we can get equation 10, as follows: ; Formula (10) make , then a set of data sequences of n can be obtained, as shown in formula 11: ( ), ; Formula (11) by For weight pair Calculate the weighted average (see formula 12) to obtain the average concentration of the second gas to be tested in the aeration bubble within the total detection time range (T represents the total time). ; If they are the same, you can directly Take the average value; Formula (12) and the aeration flow rate obtained from the first gas to be measured By multiplying them, the emission flux of the second gas to be tested on the water surface covered by the static box during this period can be obtained.

8. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 3 is characterized in that: When t gradually increases, in formula 7, will gradually increase and approach , calculate the last number The average value of The deviation should be less than 5%.

9. The data analysis method for greenhouse gas emission flux from aerated water surface according to claim 7, characterized in that: The second gas to be tested is or .

10. The data analysis method for greenhouse gas emission flux from aerated water surface according to any one of claims 1 to 9, characterized in that: The data analysis method for aerated water surface greenhouse gas emission flux also includes the following steps: During the process of the gas online detector detecting the gas in the floating static box, the gas in the floating static box is fully mixed by a fan.

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