A method, device, electronic device and storage medium for detecting nitrate in rivers

Abstract

The present application provides a method, device, electronic device and storage medium for detecting nitrate in a river. The method includes: conducting a denitrification experiment on the river to be tested based on the nitrogen source information and water attribute information of the river to be tested to obtain corresponding denitrification experimental data; constructing a nitrate transport process simulation model for the river to be tested based on the water body nitrate tracer experimental data; simulating the nitrate transport process in the river to be tested based on the nitrate transport process simulation model to obtain the nitrate spatiotemporal distribution result of the river to be tested; determining the nitrate detection result of the river to be tested based on the nitrate spatiotemporal distribution result and denitrification experimental data of the river to be tested. By constructing a nitrate transport process simulation model that can simulate the nitrate transport process in the river to be tested, accurate and reliable nitrate detection results for the river to be tested are obtained, laying a foundation for reducing water eutrophication and greenhouse gas emissions.

Description

Technical Field

[0001] The present application relates to the technical field of engineering simulation and numerical simulation, and in particular to a method, device, electronic equipment and storage medium for detecting nitrate in a river. Background Art

[0002] At present, a large amount of nitrogen is used in the form of fertilizers for agricultural plots. Excess nitrogen forms nitrates through nitrification, which flow into rivers, lakes and seas through surface runoff and become important pollutants of surface water, causing a series of problems such as eutrophication, acidification and greenhouse gas emissions. As an important nitrogen sink, rivers need to understand the migration and transformation process of dissolved nitrates. Therefore, it is of great significance to detect the abnormal transport process of nitrates in rivers to reduce eutrophication and greenhouse gas emissions.

[0003] In the prior art, a random sampling method is usually adopted to sample river water to detect the nitrate concentration in the river.

[0004] However, the hydrological topography of natural rivers is very complex. The organisms, suspended particles, and riverbed mud in the water body will absorb and adsorb nitrogen in the river, and the microorganisms in the water body will convert it into nitrogen and nitrous oxide through denitrification. Overall, the nitrate transport process in the river is abnormal, and the existing technology cannot guarantee the accuracy of the nitrate detection results in the river. Summary of the invention

[0005] The present application provides a method, device, electronic device and storage medium for detecting nitrate in a river to solve the defects of the prior art that the accuracy of the nitrate detection results in a river cannot be guaranteed.

[0006] The first aspect of the present application provides a method for detecting nitrate in a river, comprising:

[0007] Obtain nitrogen source information, water property information and water nitrate tracer experimental data of the river to be tested;

[0008] According to the nitrogen source information and water attribute information of the river to be tested, a denitrification experiment is performed on the river to be tested to obtain corresponding denitrification experimental data; wherein the denitrification experimental data at least includes a denitrification rate and a proportion of nitrous oxide in the denitrification process;

[0009] Constructing a simulation model of the nitrate transport process of the river to be tested according to the water body nitrate tracer experimental data;

[0010] Based on the nitrate transport process simulation model, the transport process of nitrate in the river to be tested is simulated to obtain the spatiotemporal distribution result of nitrate in the river to be tested;

[0011] The nitrate detection result of the river to be tested is determined according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data.

[0012] Optionally, the nitrate detection result includes the nitrous oxide emission mass, and the nitrate detection result of the river to be tested is determined according to the spatiotemporal distribution result of the nitrate of the river to be tested and the denitrification experimental data, including:

[0013] Determine the proportion of the total denitrification flux of the river to be tested based on the water body nitrate tracer experimental data;

[0014] Determining the mass of nitrogen elements participating in denitrification in the river to be tested according to the proportion of the total denitrification flux of the river to be tested;

[0015] Determining the proportion of nitrous oxide in the denitrification process of the tested river according to the denitrification experimental data;

[0016] Determining the nitrous oxide emission mass of the river to be tested according to the proportion of nitrous oxide in the denitrification process of the river to be tested and the mass of nitrogen element participating in the denitrification of the river to be tested;

[0017] The spatiotemporal distribution results of nitrate and the nitrous oxide emission mass of the river to be tested are summarized to obtain the nitrate detection result of the river to be tested.

[0018] Optionally, constructing a simulation model of nitrate transport process of the river to be tested based on the water body nitrate tracer experimental data includes:

[0019] Invert the time-truncated fractional derivative order, the cutoff coefficient, the time-truncated fractional derivative capacity coefficient, the adsorption coefficient and the diffusion coefficient of the river to be tested according to the water body nitrate tracer experimental data;

[0020] Constructing a simulation model of the nitrate transport process of the river to be tested according to the order of the time-truncated fractional derivative, the truncation coefficient, the capacity coefficient of the time-truncated fractional derivative, the adsorption coefficient and the diffusion coefficient of the river to be tested;

[0021] Among them, the order of the time-truncated fractional derivative represents the retention effect of the river to be tested on nitrate, the truncation coefficient represents the nitrate saturation degree in the water body of the river to be tested, the time-truncated fractional derivative capacity coefficient represents the environmental complexity of the river to be tested, and the adsorption coefficient represents the influence of physical adsorption or biological adsorption of the river to be tested on the nitrate retention effect.

[0022] Optionally, constructing a simulation model of the nitrate transport process of the river to be tested according to the order of the time-truncated fractional derivative, the truncation coefficient, the time-truncated fractional derivative capacity coefficient, the adsorption coefficient and the diffusion coefficient of the river to be tested comprises:

[0023] Based on the following expression, a simulation model of nitrate transport process of the river to be tested is constructed:

[0024]

[0025] Wherein, u represents the nitrate concentration of the river to be tested, t represents the current detection time, and x represents the spatial position of the detection point of the river to be tested. represents the time-truncated fractional derivative of the Caputo type at the initial moment, α represents the order of the time-truncated fractional derivative, λ represents the truncation coefficient, θ represents the time-truncated fractional derivative capacity coefficient, R represents the adsorption coefficient, D represents the diffusion coefficient, v represents the average flow velocity of the river to be tested, and K represents the denitrification rate of the river to be tested.

[0026] Optionally, also include:

[0027] The denitrification rate of the river to be tested is determined according to the denitrification experimental data of the river to be tested.

[0028] Optionally, the nitrate detection result includes the mass of nitrate in the water body, and the method further includes:

[0029] The total mass of nitrate in the water body of the river to be tested is determined according to the average flow velocity of the river to be tested, the nitrate concentration at each detection point of the river to be tested, and the molecular mass of nitrate.

[0030] Optionally, the water body attribute information includes at least pH value, temperature, microbial population and phosphorus content of the water body.

[0031] The second aspect of the present application provides a device for detecting nitrate in a river, comprising:

[0032] An acquisition module is used to obtain nitrogen source information, water attribute information and water nitrate tracer experimental data of the river to be tested;

[0033] An experimental module, for conducting a denitrification experiment on the river to be tested according to the nitrogen source information and water attribute information of the river to be tested, and obtaining corresponding denitrification experimental data; wherein the denitrification experimental data at least includes a denitrification rate and a proportion of nitrous oxide in the denitrification process;

[0034] A model building module, used to build a simulation model of the nitrate transport process of the river to be tested according to the experimental data of the water body nitrate tracer;

[0035] A simulation module, used to simulate the nitrate transport process in the river to be tested based on the nitrate transport process simulation model, so as to obtain the spatiotemporal distribution result of nitrate in the river to be tested;

[0036] The detection module is used to determine the nitrate detection result of the river to be tested according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data.

[0037] Optionally, the detection module is specifically used to:

[0038] Determine the proportion of the total denitrification flux of the river to be tested based on the water body nitrate tracer experimental data;

[0039] Determining the mass of nitrogen elements participating in denitrification in the river to be tested according to the proportion of the total denitrification flux of the river to be tested;

[0040] Determining the proportion of nitrous oxide in the denitrification process of the tested river according to the denitrification experimental data;

[0041] Determining the nitrous oxide emission mass of the river to be tested according to the proportion of nitrous oxide in the denitrification process of the river to be tested and the mass of nitrogen element participating in the denitrification of the river to be tested;

[0042] The spatiotemporal distribution results of nitrate and the nitrous oxide emission mass of the river to be tested are summarized to obtain the nitrate detection result of the river to be tested.

[0043] Optionally, the model building module is specifically used to:

[0044] Invert the time-truncated fractional derivative order, the cutoff coefficient, the time-truncated fractional derivative capacity coefficient, the adsorption coefficient and the diffusion coefficient of the river to be tested according to the water body nitrate tracer experimental data;

[0045] Constructing a simulation model of the nitrate transport process of the river to be tested according to the order of the time-truncated fractional derivative, the truncation coefficient, the capacity coefficient of the time-truncated fractional derivative, the adsorption coefficient and the diffusion coefficient of the river to be tested;

[0046] Among them, the order of the time-truncated fractional derivative represents the retention effect of the river to be tested on nitrate, the truncation coefficient represents the nitrate saturation degree in the water body of the river to be tested, the time-truncated fractional derivative capacity coefficient represents the environmental complexity of the river to be tested, and the adsorption coefficient represents the influence of physical adsorption or biological adsorption of the river to be tested on the nitrate retention effect.

[0047] Optionally, the model building module is specifically used to:

[0048] Based on the following expression, a simulation model of nitrate transport process of the river to be tested is constructed:

[0049]

[0050] Wherein, u represents the nitrate concentration of the river to be tested, t represents the current detection time, and x represents the spatial position of the detection point of the river to be tested. represents the time-truncated fractional derivative of the Caputo type at the initial moment, α represents the order of the time-truncated fractional derivative, λ represents the truncation coefficient, θ represents the time-truncated fractional derivative capacity coefficient, R represents the adsorption coefficient, D represents the diffusion coefficient, v represents the average flow velocity of the river to be tested, and K represents the denitrification rate of the river to be tested.

[0051] Optionally, the detection module is further used to:

[0052] The denitrification rate of the river to be tested is determined according to the denitrification experimental data of the river to be tested.

[0053] Optionally, the nitrate detection result includes the mass of nitrate in the water body, and the detection module is further used to:

[0054] The total mass of nitrate in the water body of the river to be tested is determined according to the average flow velocity of the river to be tested, the nitrate concentration at each detection point of the river to be tested, and the molecular mass of nitrate.

[0055] Optionally, the water body attribute information includes at least pH value, temperature, microbial population and phosphorus content of the water body.

[0056] A third aspect of the present application provides an electronic device, comprising: at least one processor and a memory;

[0057] The memory stores computer-executable instructions;

[0058] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method described in the first aspect and various possible designs of the first aspect.

[0059] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions. When a processor executes the computer-executable instructions, the method described in the first aspect and various possible designs of the first aspect are implemented.

[0060] The technical solution of this application has the following advantages:

[0061] The present application provides a method, device, electronic device and storage medium for detecting nitrate in a river, the method comprising: obtaining nitrogen source information, water body property information and water body nitrate tracer experimental data of the river to be tested; conducting a denitrification experiment on the river to be tested according to the nitrogen source information and water body property information of the river to be tested, and obtaining corresponding denitrification experimental data; wherein the denitrification experimental data at least includes the denitrification rate and the proportion of nitrous oxide in the denitrification process; constructing a nitrate transport process simulation model of the river to be tested according to the water body nitrate tracer experimental data; simulating the nitrate transport process in the river to be tested based on the nitrate transport process simulation model to obtain the spatiotemporal distribution result of nitrate in the river to be tested; determining the nitrate detection result of the river to be tested according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data. The method provided by the above scheme obtains accurate and reliable nitrate detection results of the river to be tested by constructing a nitrate transport process simulation model that can simulate the nitrate transport process in the river to be tested, laying a foundation for reducing water eutrophication and greenhouse gas emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application, and a person skilled in the art can also obtain other drawings based on these drawings.

[0063] Figure 1 This is a schematic diagram of the structure of the nitrate detection system in the river based on the embodiment of the present application;

[0064] Figure 2 A schematic diagram of a flow chart of a method for detecting nitrate in a river provided in an embodiment of the present application;

[0065] Figure 3 A schematic diagram of the structure of a device for detecting nitrate in a river provided in an embodiment of the present application;

[0066] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0067] The above drawings have shown clear embodiments of the present application, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present disclosure in any way, but to illustrate the concepts of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution 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 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.

[0069] In addition, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. In the description of the following embodiments, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0070] In the prior art, random sampling is usually used to sample river water to detect the nitrate concentration in the river. However, the hydrological topography of natural rivers is very complex. The organisms, suspended particles, and riverbed mud in the water body will produce biological absorption and adsorption sedimentation effects on the nitrogen in the river, and the microorganisms in the water body will convert it into nitrogen and nitrous oxide through denitrification. Overall, the nitrate transport process in the river is abnormal, and the prior art cannot guarantee the accuracy of the nitrate detection results in the river.

[0071] In view of the above problems, the nitrate detection method, device, electronic device and storage medium provided in the embodiment of the present application obtain the nitrogen source information, water attribute information and water nitrate tracer experimental data of the river to be tested; according to the nitrogen source information and water attribute information of the river to be tested, a denitrification experiment is carried out on the river to be tested to obtain the corresponding denitrification experimental data; wherein the denitrification experimental data at least includes the denitrification rate and the proportion of nitrous oxide in the denitrification process; according to the water nitrate tracer experimental data, a nitrate transport process simulation model of the river to be tested is constructed; based on the nitrate transport process simulation model, the nitrate transport process in the river to be tested is simulated to obtain the spatiotemporal distribution result of nitrate in the river to be tested; according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data, the nitrate detection result of the river to be tested is determined. The method provided by the above scheme obtains accurate and reliable nitrate detection results of the river to be tested by constructing a nitrate transport process simulation model that can simulate the nitrate transport process in the river to be tested, laying a foundation for reducing water eutrophication and greenhouse gas emissions.

[0072] The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. The embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0073] First, the structure of the river nitrate detection system based on this application is described:

[0074] The method, device, electronic device and storage medium for detecting nitrate in a river provided in the embodiments of the present application are suitable for detecting abnormal nitrate transport processes in natural rivers. Figure 1 The figure is a schematic diagram of the structure of the nitrate detection system in the river based on the embodiment of the present application, which mainly includes a river, a data acquisition device and a nitrate detection device in the river. Specifically, the nitrogen source information, water body property information and water body nitrate tracer experimental data of the river can be collected based on the data acquisition device, and the collected data can be sent to the nitrate detection device in the river. The nitrate detection device in the river detects the abnormal nitrate transport process of the river according to the obtained data.

[0075] The embodiment of the present application provides a method for detecting nitrate in a river, which is used to detect abnormal nitrate transport in a natural river. The execution subject of the embodiment of the present application is an electronic device, such as a server, a desktop computer, a laptop computer, a tablet computer, and other electronic devices that can be used to detect abnormal nitrate transport in a natural river.

[0076] like Figure 2 FIG. 1 is a flow chart of a method for detecting nitrate in a river provided in an embodiment of the present application, the method comprising:

[0077] Step 201, obtaining nitrogen source information, water property information and water nitrate tracer experimental data of the river to be tested.

[0078] Among them, nitrogen source information includes atmospheric deposition, nitrogen fertilizer use, feces and point source pollution emissions, etc., and entity attribute information includes at least the pH value, temperature, microbial population size and phosphorus content of the water body.

[0079] Step 202: Perform a denitrification experiment on the river to be tested based on the nitrogen source information and water attribute information of the river to be tested, and obtain corresponding denitrification experiment data.

[0080] The denitrification experimental data include at least the denitrification rate and the proportion of nitrous oxide in the denitrification process.

[0081] Specifically, a sample river similar to the river to be tested can be created based on the nitrogen source information and water body attribute information of the river to be tested. The nitrogen source information and water body attribute information of the virtual river are exactly the same as those of the river to be tested. Then, an indoor denitrification experiment is carried out on the sample river, which is equivalent to conducting a denitrification experiment on the river to be tested, and the corresponding denitrification experiment data is obtained.

[0082] Step 203, constructing a simulation model of the nitrate transport process of the river to be tested based on the experimental data of the nitrate tracer in the water body.

[0083] Specifically, the proportion of the total denitrification flux of the river to be tested, i.e., the temporal and spatial distribution of nitrate, and other information can be determined based on the experimental data of nitrate tracers in the water body of the river to be tested, and then a simulation model of the nitrate transport process of the river to be tested can be constructed. The simulation model of the nitrate transport process can specifically be a time-truncated fractional-order convection-diffusion model with reaction terms that describes the nitrate migration and transformation process in the river to be tested.

[0084] Step 204, based on the nitrate transport process simulation model, simulate the nitrate transport process in the river to be tested to obtain the spatiotemporal distribution result of nitrate in the river to be tested.

[0085] Specifically, based on the nitrate transport process simulation model, the nitrate transport process in the entire river to be tested can be simulated to obtain the sulfate concentration of each detection point in the river to be tested at different time points, that is, to obtain the spatiotemporal distribution result of nitrate in the river to be tested.

[0086] Step 205, determining the nitrate detection result of the river to be tested according to the spatiotemporal distribution result of nitrate of the river to be tested and the denitrification experimental data.

[0087] Specifically, the denitrification experimental data of the river to be tested can be combined to determine the nitrous oxide emission quality of the river to be tested, and then the nitrate detection results of the river to be tested can be generated by combining the nitrous oxide emission quality and the spatiotemporal distribution results of nitrate in the river to be tested. Finally, the nitrate detection results of the river to be tested can be uploaded to the water environment management agency so that it can grasp the spatiotemporal distribution results of nitrate in the river to be tested in real time, and then dynamically evaluate the eutrophication status of the water body at each detection point in the river and the emission of greenhouse gases in the water body.

[0088] On the basis of the above embodiment, the nitrate detection result includes the nitrous oxide emission mass. In order to improve the accuracy of the nitrate detection result, as an implementable method, in one embodiment, according to the nitrate spatiotemporal distribution result and denitrification experimental data of the river to be tested, the nitrate detection result of the river to be tested is determined, including:

[0089] Step 2051, determining the proportion of the total denitrification flux of the river to be tested according to the experimental data of the water nitrate tracer;

[0090] Step 2052, determining the mass of nitrogen element participating in denitrification in the river to be tested according to the proportion of the total denitrification flux of the river to be tested;

[0091] Step 2053, determining the proportion of nitrous oxide in the denitrification process of the river to be tested according to the denitrification experimental data;

[0092] Step 2054, determining the nitrous oxide emission mass of the river to be tested according to the proportion of nitrous oxide in the denitrification process of the river to be tested and the mass of nitrogen element participating in the denitrification of the river to be tested;

[0093] Step 2055, summarizing the spatiotemporal distribution results of nitrate and the nitrous oxide emission mass of the river to be tested, and obtaining the nitrate detection result of the river to be tested.

[0094] Specifically, the proportion of the total denitrification flux in the river to be tested, R1, can be determined by analyzing the experimental data of nitrate tracers in water bodies, and the proportion of nitrous oxide in the denitrification process in the river to be tested, R2, can be determined by analyzing the denitrification experimental data. M represents the total mass of nitrate in the river water to be tested, is the mass ratio of nitrogen in nitrate. The mass of nitrous oxide emission from the river to be tested is the mass ratio between elemental nitrogen and nitrous oxide.

[0095] On the basis of the above embodiments, in order to ensure the reliability of the nitrate transport process simulation model, as an implementable method, in one embodiment, according to the experimental data of the nitrate tracer in the water body, a nitrate transport process simulation model of the river to be tested is constructed, including:

[0096] Step 2031, inverting the time-truncated fractional derivative order, truncation coefficient, time-truncated fractional derivative capacity coefficient, adsorption coefficient and diffusion coefficient of the river to be tested based on the experimental data of nitrate tracer in water body;

[0097] Step 2032, constructing a simulation model of the nitrate transport process of the river to be tested according to the order of the time-truncated fractional derivative, the truncation coefficient, the capacity coefficient of the time-truncated fractional derivative, the adsorption coefficient and the diffusion coefficient of the river to be tested.

[0098] Among them, the order of the time-truncated fractional derivative represents the retention effect of the tested river on nitrate, the cutoff coefficient represents the nitrate saturation degree in the water body of the tested river, the time-truncated fractional derivative capacity coefficient represents the environmental complexity of the tested river, and the adsorption coefficient represents the influence of physical adsorption or biological adsorption on nitrate retention in the tested river.

[0099] Specifically, based on a preset fitting algorithm and according to the experimental data of nitrate tracer in the water body of the river to be tested, the retention effect of nitrate in the river to be tested, the degree of nitrate saturation in the water body of the river to be tested, the environmental complexity of the river to be tested and the influence of physical adsorption or biological adsorption on nitrate retention in the river to be tested can be fitted, thereby obtaining the order of the time-truncated fractional derivative, the cutoff coefficient, the capacity coefficient of the time-truncated fractional derivative, the adsorption coefficient and the diffusion coefficient of the river to be tested.

[0100] Specifically, in one embodiment, a simulation model of nitrate transport process of the river to be tested can be constructed based on the following expression:

[0101]

[0102] Among them, u represents the nitrate concentration of the river to be tested, t represents the current detection time, and x represents the spatial position of the detection point of the river to be tested. represents the time-truncated fractional derivative of the Caputo type at the initial moment, α represents the order of the time-truncated fractional derivative, 0<α<1, the lower the value of α, the stronger the retention effect, λ represents the cutoff coefficient, λ≥0, the larger the value of λ, the closer the nitrate in the water body is to the saturation state, θ represents the time-truncated fractional derivative capacity coefficient, θ≥0, R represents the adsorption coefficient, D represents the diffusion coefficient, v represents the average flow velocity of the river to be tested, and K represents the denitrification rate of the river to be tested, which characterizes the activity of microorganisms in the water body. Among them, the average flow velocity v of the river to be tested can be collected in real time based on the sensor set at the detection point.

[0103] It should be noted that the time-truncated fractional derivative of the Caputo type at the initial moment is is defined as follows:

[0104]

[0105] Among them, Γ(α) is a single-parameter Gamma function, which is defined as follows:

[0106]

[0107] Specifically, after inputting the spatial position and current detection time of any detection point into the nitrate transport process simulation model, the model can be solved based on the finite difference method to obtain the nitrate concentration of the detection point in the river to be tested at the current detection time. By inputting the spatial positions and current detection times of several detection points in turn, the spatiotemporal distribution results of nitrate in the river to be tested can be obtained.

[0108] Specifically, in one embodiment, the denitrification rate of the river to be tested may also be determined based on the denitrification experimental data of the river to be tested.

[0109] Specifically, the denitrification rate of the river to be tested can be obtained by analyzing the denitrification experimental data of the river to be tested.

[0110] Specifically, in one embodiment, the nitrate detection result may include the mass of nitrate in the water body. Specifically, the total mass of nitrate in the water body of the river to be tested can be determined based on the average flow rate of the river to be tested, the nitrate concentration at each detection point in the river to be tested, and the molecular mass of nitrate.

[0111] Specifically, the total mass M of nitrate is equal to the product of the average flow rate of the river to be tested, the nitrate concentration at each detection point of the river to be tested, and the molecular mass of nitrate.

[0112] The method for detecting nitrate in a river provided in the embodiment of the present application is to obtain the nitrogen source information, water body property information and water body nitrate tracer experimental data of the river to be tested; according to the nitrogen source information and water body property information of the river to be tested, a denitrification experiment is carried out on the river to be tested to obtain the corresponding denitrification experimental data; wherein the denitrification experimental data at least includes the denitrification rate and the proportion of nitrous oxide in the denitrification process; according to the water body nitrate tracer experimental data, a nitrate transport process simulation model of the river to be tested is constructed; based on the nitrate transport process simulation model, the nitrate transport process in the river to be tested is simulated to obtain the spatiotemporal distribution result of nitrate in the river to be tested; according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data, the nitrate detection result of the river to be tested is determined. The method provided by the above scheme obtains accurate and reliable nitrate detection results of the river to be tested by constructing a nitrate transport process simulation model that can simulate the nitrate transport process in the river to be tested, laying a foundation for reducing water eutrophication and greenhouse gas emissions. In addition, by establishing a time-truncated fractional-order advection-diffusion model with reaction terms, it can accurately describe the biological retention and denitrification process of nitrate transport, and accurately describe the temporal and spatial distribution of nitrate in water bodies and the nitrogen cycle in water bodies. And by calculating the total denitrification flux and the proportion of nitrous oxide in the river system, the nitrogen cycle and greenhouse gas emissions of the tested river are quantitatively described, further laying the foundation for reducing eutrophication of water bodies and greenhouse gas emissions.

[0113] An embodiment of the present application provides a device for detecting nitrate in a river, which is used to execute the method for detecting nitrate in a river provided in the above embodiment.

[0114] like Figure 3 , which is a schematic diagram of the structure of a device for detecting nitrate in a river provided in an embodiment of the present application. The device for detecting nitrate in a river 30 comprises: an acquisition module 301 , an experiment module 302 , a model building module 303 , a simulation module 304 and a detection module 305 .

[0115] Among them, the acquisition module is used to obtain the nitrogen source information, water body property information and water body nitrate tracer experimental data of the river to be tested; the experimental module is used to conduct a denitrification experiment on the river to be tested according to the nitrogen source information and water body property information of the river to be tested, and obtain the corresponding denitrification experimental data; wherein the denitrification experimental data at least includes the denitrification rate and the proportion of nitrous oxide in the denitrification process; the model construction module is used to construct a nitrate transport process simulation model of the river to be tested according to the water body nitrate tracer experimental data; the simulation module is used to simulate the nitrate transport process in the river to be tested based on the nitrate transport process simulation model, so as to obtain the spatiotemporal distribution result of nitrate in the river to be tested; the detection module is used to determine the nitrate detection result of the river to be tested according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data.

[0116] Specifically, in one embodiment, the detection module is specifically used to:

[0117] Based on the experimental data of nitrate tracer in water, determine the proportion of total denitrification flux in the river to be tested;

[0118] According to the proportion of the total denitrification flux of the river to be tested, the mass of nitrogen elements participating in denitrification in the river to be tested is determined;

[0119] According to the denitrification experimental data, determine the proportion of nitrous oxide in the denitrification process of the tested river;

[0120] According to the proportion of nitrous oxide in the denitrification process of the river to be tested and the mass of nitrogen element participating in the denitrification of the river to be tested, the mass of nitrous oxide emission of the river to be tested is determined;

[0121] The spatiotemporal distribution results of nitrate and the mass of nitrous oxide emissions of the rivers to be tested are summarized to obtain the nitrate detection results of the rivers to be tested.

[0122] Specifically, in one embodiment, the model building module is specifically used to:

[0123] According to the experimental data of nitrate tracer in water, the order of time-truncated fractional derivative, truncation coefficient, capacity coefficient of time-truncated fractional derivative, adsorption coefficient and diffusion coefficient of the river to be tested are inverted;

[0124] According to the order of time-truncated fractional derivative, truncation coefficient, time-truncated fractional derivative capacity coefficient, adsorption coefficient and diffusion coefficient of the river to be tested, a simulation model of nitrate transport process of the river to be tested is constructed;

[0125] Among them, the order of the time-truncated fractional derivative represents the retention effect of the tested river on nitrate, the cutoff coefficient represents the nitrate saturation degree in the water body of the tested river, the time-truncated fractional derivative capacity coefficient represents the environmental complexity of the tested river, and the adsorption coefficient represents the influence of physical adsorption or biological adsorption on nitrate retention in the tested river.

[0126] Specifically, in one embodiment, the model building module is specifically used to:

[0127] Based on the following expression, a simulation model of nitrate transport process of the river to be tested is constructed:

[0128]

[0129] Among them, u represents the nitrate concentration of the river to be tested, t represents the current detection time, and x represents the spatial position of the detection point of the river to be tested. represents the time-truncated fractional derivative of the Caputo type at the initial moment, α represents the order of the time-truncated fractional derivative, λ represents the truncation coefficient, θ represents the time-truncated fractional derivative capacity coefficient, R represents the adsorption coefficient, D represents the diffusion coefficient, v represents the average flow velocity of the river to be tested, and K represents the denitrification rate of the river to be tested.

[0130] Specifically, in one embodiment, the detection module is further used to:

[0131] The denitrification rate of the river to be tested is determined based on the denitrification experimental data of the river to be tested.

[0132] Specifically, in one embodiment, the nitrate detection result includes the nitrate mass in the water body, and the detection module is further used to:

[0133] The total mass of nitrate in the water of the river to be tested is determined based on the average flow velocity of the river to be tested, the nitrate concentration at each testing point in the river to be tested, and the molecular mass of nitrate.

[0134] Specifically, in one embodiment, the water body attribute information includes at least the pH value, temperature, microbial population and phosphorus content of the water body.

[0135] Regarding the device for detecting nitrate in rivers in this embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0136] The device for detecting nitrate in a river provided in an embodiment of the present application is used to execute the method for detecting nitrate in a river provided in the above embodiment. Its implementation method and principle are the same and will not be described in detail.

[0137] An embodiment of the present application provides an electronic device for executing the method for detecting nitrate in a river provided in the above embodiment.

[0138] like Figure 4 FIG. 4 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device 40 includes: at least one processor 41 and a memory 42.

[0139] The memory stores computer-executable instructions; at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the method for detecting nitrate in a river provided in the above embodiment.

[0140] An electronic device provided in an embodiment of the present application is used to execute the method for detecting nitrate in a river provided in the above embodiment. Its implementation method and principle are the same and will not be repeated herein.

[0141] An embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method for detecting nitrate in a river provided in any of the above embodiments is implemented.

[0142] The storage medium containing computer executable instructions in the embodiment of the present application can be used to store computer executable instructions of the method for detecting nitrate in rivers provided in the aforementioned embodiments. The implementation method and principle are the same and will not be repeated here.

[0143] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0144] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0145] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0146] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0147] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0148] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for detecting nitrate in a river, characterized in that: include: Obtain nitrogen source information, water property information and water nitrate tracer experimental data of the river to be tested; According to the nitrogen source information and water attribute information of the river to be tested, a denitrification experiment is performed on the river to be tested to obtain corresponding denitrification experimental data; wherein the denitrification experimental data at least includes a denitrification rate and a proportion of nitrous oxide in the denitrification process; Constructing a simulation model of the nitrate transport process of the river to be tested according to the water body nitrate tracer experimental data; Based on the nitrate transport process simulation model, the transport process of nitrate in the river to be tested is simulated to obtain the spatiotemporal distribution result of nitrate in the river to be tested; Determine the nitrate detection result of the river to be tested according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data; The nitrate detection result includes the nitrous oxide emission mass. The nitrate detection result of the river to be tested is determined according to the spatiotemporal distribution result of the nitrate in the river to be tested and the denitrification experimental data, including: Determine the proportion of the total denitrification flux of the river to be tested based on the water body nitrate tracer experimental data; Determining the mass of nitrogen elements participating in denitrification in the river to be tested according to the proportion of the total denitrification flux of the river to be tested; Determining the proportion of nitrous oxide in the denitrification process of the tested river according to the denitrification experimental data; Determining the nitrous oxide emission mass of the river to be tested according to the proportion of nitrous oxide in the denitrification process of the river to be tested and the mass of nitrogen element participating in the denitrification of the river to be tested; The spatiotemporal distribution results of nitrate and the nitrous oxide emission mass of the river to be tested are summarized to obtain the nitrate detection result of the river to be tested.

2. The method according to claim 1, characterized in that The method of constructing a simulation model of the nitrate transport process of the river to be tested based on the water body nitrate tracer experimental data includes: Invert the time-truncated fractional derivative order, the cutoff coefficient, the time-truncated fractional derivative capacity coefficient, the adsorption coefficient and the diffusion coefficient of the river to be tested according to the water body nitrate tracer experimental data; Constructing a simulation model of the nitrate transport process of the river to be tested according to the order of the time-truncated fractional derivative, the truncation coefficient, the capacity coefficient of the time-truncated fractional derivative, the adsorption coefficient and the diffusion coefficient of the river to be tested; Among them, the order of the time-truncated fractional derivative represents the retention effect of the river to be tested on nitrate, the truncation coefficient represents the nitrate saturation degree in the water body of the river to be tested, the time-truncated fractional derivative capacity coefficient represents the environmental complexity of the river to be tested, and the adsorption coefficient represents the influence of physical adsorption or biological adsorption of the river to be tested on the nitrate retention effect.

3. The method according to claim 2, characterized in that The method of constructing a simulation model of the nitrate transport process of the river to be tested according to the order of the time-truncated fractional derivative, the truncation coefficient, the time-truncated fractional derivative capacity coefficient, the adsorption coefficient and the diffusion coefficient of the river to be tested comprises: Based on the following expression, a simulation model of nitrate transport process of the river to be tested is constructed: Wherein, u represents the nitrate concentration of the river to be tested, t represents the current detection time, and x represents the spatial position of the detection point of the river to be tested. represents the time-truncated fractional derivative of the Caputo type at the initial moment, α represents the order of the time-truncated fractional derivative, λ represents the truncation coefficient, θ represents the time-truncated fractional derivative capacity coefficient, R represents the adsorption coefficient, D represents the diffusion coefficient, v represents the average flow velocity of the river to be tested, and K represents the denitrification rate of the river to be tested.

4. The method according to claim 3, characterized in that: Also includes: The denitrification rate of the river to be tested is determined according to the denitrification experimental data of the river to be tested.

5. The method according to claim 3, characterized in that: The nitrate detection result includes the nitrate mass in the water body, and the method further includes: The total mass of nitrate in the water body of the river to be tested is determined according to the average flow velocity of the river to be tested, the nitrate concentration at each detection point of the river to be tested, and the molecular mass of nitrate.

6. The method according to claim 1, characterized in that The water body attribute information includes at least the pH value, temperature, microbial population and phosphorus content of the water body.

7. A device for detecting nitrate in a river, characterized in that: include: An acquisition module is used to obtain nitrogen source information, water attribute information and water nitrate tracer experimental data of the river to be tested; An experimental module, for conducting a denitrification experiment on the river to be tested according to the nitrogen source information and water attribute information of the river to be tested, and obtaining corresponding denitrification experimental data; wherein the denitrification experimental data at least includes a denitrification rate and a proportion of nitrous oxide in the denitrification process; A model building module, used to build a simulation model of the nitrate transport process of the river to be tested according to the experimental data of the water body nitrate tracer; A simulation module, used to simulate the nitrate transport process in the river to be tested based on the nitrate transport process simulation model, so as to obtain the spatiotemporal distribution result of nitrate in the river to be tested; A detection module, used to determine the nitrate detection result of the river to be tested according to the spatiotemporal distribution result of nitrate in the river to be tested and the denitrification experimental data; The nitrate detection result includes the nitrous oxide emission mass, and the detection module is specifically used for: Determine the proportion of the total denitrification flux of the river to be tested based on the water body nitrate tracer experimental data; Determining the mass of nitrogen elements participating in denitrification in the river to be tested according to the proportion of the total denitrification flux of the river to be tested; Determining the proportion of nitrous oxide in the denitrification process of the tested river according to the denitrification experimental data; Determining the nitrous oxide emission mass of the river to be tested according to the proportion of nitrous oxide in the denitrification process of the river to be tested and the mass of nitrogen element participating in the denitrification of the river to be tested; The spatiotemporal distribution results of nitrate and the nitrous oxide emission mass of the river to be tested are summarized to obtain the nitrate detection result of the river to be tested.

8. An electronic device, characterized in that: include: at least one processor and memory; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the processor executes the computer-executable instructions, the method according to any one of claims 1 to 6 is implemented.

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