River N2O emission analysis method and system

Abstract

The invention belongs to the technical field of water environment monitoring, and aims to provide a river N2O emission analysis method and system. On the basis of a river N2O emission scheme in the prior art, pollution source time-space distribution visualization, hydrological parameter time-space distribution visualization and N2O emission amount time-space distribution visualization are carried out, so that the pollution source contribution condition of each sub-basin can be intuitively presented, the time-space change of hydrological parameters can be clearly presented, and the pollution source contribution effect can be improved. According to the method, the N2O emission hot spot area and the long-term change rule can be disclosed, a more accurate pollution treatment decision is supported, the precision of pollution tracking, water quality simulation and emission evaluation performed by researchers is improved, and a scientific basis is provided for drainage basin greenhouse gas treatment.

Description

Technical Field

[0001] The present invention belongs to the technical field of water environment monitoring, and particularly relates to a method and system for analyzing N2O emissions from rivers. Background Art

[0002] The river ecosystem is regarded as an important link between the terrestrial ecosystem and the atmospheric ecosystem. Nitrogen pollutants emitted by human activities can enter rivers through surface runoff, underground seepage and other channels, and are converted into N2O (nitrous oxide) and released into the atmosphere under specific conditions. As a result, nitrogen pollution in rivers and its derived N2O emissions have become important topics in water environment governance and climate change research.

[0003] Currently, the analysis of river N2O emissions usually adopts a data-driven model (such as an RF regression model) combined with an air-water interface gas exchange model. For example, a method for calculating river nitric oxide emissions based on land-river-atmosphere simulation disclosed in a Chinese patent with publication number CN116525017A discloses a technical solution including estimating nitrogen pollutant emissions, predicting water quality, obtaining hydrological parameters, and calculating N2O emissions. However, the existing technology still has the following deficiencies:

[0004] In the existing technology, the contribution ratio of different pollution sources in each sub-basin and its change over time cannot be clearly presented, and the spatio-temporal changes of hydrological conditions cannot be intuitively shown. In addition, the existing technology only calculates the total amount of river N2O emissions, fails to reveal the emission trends and hot spots at different time and space scales, and the analysis of N2O emission characteristics is not intuitive, which is not conducive to researchers to comprehensively analyze river N2O emissions. Summary of the Invention

[0005] The present invention aims to solve the above technical problems at least to a certain extent, and provides a method and system for analyzing N2O emissions from rivers.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a method for analyzing N2O emissions from rivers, including:

[0008] Dividing pollution sources in a specified area, and obtaining the nitrogen pollutant emissions of each pollution source in the specified area during historical periods; wherein, the number of the historical periods is multiple;

[0009] Dividing the specified river basin corresponding to the specified area into sub-basins, and obtaining the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratio of each pollution source in each sub-basin during historical periods according to the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source;

[0010] Visualize the spatio-temporal distribution of pollution sources for each sub-basin based on the total nitrogen pollutant emissions of each sub-basin in the historical period and the nitrogen pollutant emission ratios of each pollution source in each sub-basin.

[0011] Construct a water quality prediction model, and use the total nitrogen pollutant emissions of each sub-basin as the input data of the water quality prediction model, so as to obtain the water quality concentration of each sub-basin in the historical period based on the water quality prediction model.

[0012] Obtain the hydrological parameters of each sub-basin in the historical period, and visualize the spatio-temporal distribution of the hydrological parameters of each sub-basin according to the hydrological parameters of each sub-basin in the historical period.

[0013] Obtain the N2O emissions of each sub-basin in the historical period according to the water quality concentration and hydrological parameters of each sub-basin, and visualize the spatio-temporal distribution of the N2O emissions of each sub-basin according to the N2O emissions of each sub-basin in the historical period.

[0014] In a possible design, the output coefficient method is used to obtain the nitrogen pollutant emissions of each pollution source in the specified area in the historical period.

[0015] In a possible design, the pollution sources in the specified area are divided into point pollution sources and non-point pollution sources; among them, the point pollution sources include urban domestic sources, industrial sources and / or rural domestic sources, and the non-point pollution sources include urban rainwater non-point sources, farmland planting sources and / or livestock and poultry breeding sources.

[0016] In a possible design, based on the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source, obtaining the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratios of each pollution source in each sub-basin includes:

[0017] Resolve the nitrogen input sources for each sub-basin according to the location information of each pollution source and the location information of each sub-basin to obtain the pollution source set of each sub-basin.

[0018] Obtain the water flux of each sub-basin, and obtain the nitrogen pollutant emission components of each pollution source in each sub-basin according to the water flux of each sub-basin, the nitrogen pollutant emissions of each pollution source, and the pollution source set of each sub-basin.

[0019] Obtain the total nitrogen pollutant emissions of each sub-basin according to the nitrogen pollutant emission components of each pollution source in each sub-basin.

[0020] Obtain the nitrogen pollutant emission ratios of each pollution source in each sub-basin according to the nitrogen pollutant emission components of each pollution source in each sub-basin and the total nitrogen pollutant emissions of each sub-basin.

[0021] In a possible design, all sub-watersheds are divided into urban sub-watersheds and rural sub-watersheds, and water quality prediction models are constructed for urban sub-watersheds and rural sub-watersheds respectively.

[0022] In a possible design, when visualizing the spatio-temporal distribution of pollution sources, the spatio-temporal distribution of hydrological parameters, and the spatio-temporal distribution of N2O emissions for each sub-watershed, ArcGIS is used to achieve this.

[0023] In a possible design, after obtaining the N2O emissions of each sub-watershed in the historical period, the method further includes:

[0024] Using LMDI to analyze the driving factors of the N2O emission increment of each sub-watershed, so as to obtain the driving factors affecting the N2O emissions of each sub-watershed.

[0025] In a second aspect, the present invention provides a river N2O emission analysis system, including:

[0026] A nitrogen pollutant emission calculation module, which is used to divide pollution sources in a specified area, and obtain the nitrogen pollutant emissions of each pollution source in the specified area during the historical period; it is also used to divide sub-watersheds in the specified river basin corresponding to the specified area, and based on the location information of each pollution source, the location information of each sub-watershed, and the nitrogen pollutant emissions of each pollution source, obtain the total nitrogen pollutant emissions of each sub-watershed and the nitrogen pollutant emission ratio of each pollution source in each sub-watershed during the historical period; where the number of historical periods is multiple;

[0027] A water quality concentration prediction module, which is communicatively connected to the nitrogen pollutant emission calculation module, and is used to construct a water quality prediction model, and use the total nitrogen pollutant emissions of each sub-watershed as the input data of the water quality prediction model, so as to obtain the water quality concentration of each sub-watershed during the historical period based on the water quality prediction model;

[0028] A hydrological parameter acquisition module, which is communicatively connected to the nitrogen pollutant emission calculation module, and is used to acquire the hydrological parameters of each sub-watershed during the historical period;

[0029] An N2O emission calculation module, which is communicatively connected to the water quality concentration prediction module and the hydrological parameter acquisition module respectively, and is used to obtain the N2O emissions of each sub-watershed during the historical period according to the water quality concentration and hydrological parameters of each sub-watershed;

[0030] A visualization processing module, which is communicatively connected to the nitrogen pollutant emission calculation module, the hydrological parameter acquisition module, and the N2O emission calculation module respectively, is used for visualizing the spatial and temporal distribution of pollution sources in each sub-basin according to the total amount of nitrogen pollutant emissions in each sub-basin and the nitrogen pollutant emission ratios of each pollution source in each sub-basin during a historical period; for visualizing the spatial and temporal distribution of hydrological parameters in each sub-basin according to the hydrological parameters of each sub-basin during a historical period; and also for visualizing the spatial and temporal distribution of N2O emissions in each sub-basin according to the N2O emissions of each sub-basin during a historical period.

[0031] In a third aspect, the present invention provides an electronic device, comprising:

[0032] A memory for storing computer program instructions; and,

[0033] A processor for executing the computer program instructions to complete the operations of a method for analyzing river N2O emissions as described in any one of the above.

[0034] In a fourth aspect, the present invention provides a computer program product, comprising a computer program or instructions, and the computer program or the instructions, when executed by a computer, implement a method for analyzing river N2O emissions as described in any one of the above.

[0035] The beneficial effects of the present invention are as follows:

[0036] The present invention discloses a method and system for analyzing river N2O emissions. By visualizing the spatial and temporal distribution of pollution sources, the spatial and temporal distribution of hydrological parameters, and the spatial and temporal distribution of N2O emissions, it can intuitively present the contribution of pollution sources in each sub-basin, clearly show the spatial and temporal changes of hydrological parameters, and can reveal the hot spots and long-term change rules of N2O emissions, support more accurate pollution control decisions, facilitate improving the accuracy of researchers in pollution tracking, water quality simulation, and emission assessment, and further provide a scientific basis for basin greenhouse gas governance.

[0037] Other beneficial effects of the present invention will be further described in the specific implementation manners. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a flowchart of a method for analyzing river N2O emissions in an embodiment;

[0039] Figure 2 is a block diagram of a system for analyzing river N2O emissions in an embodiment;

[0040] Figure 3 is a block diagram of an electronic device in an embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the present invention in combination with the accompanying drawings and the description of the embodiments or the prior art. Obviously, the following descriptions of the structures of the accompanying drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but do not constitute a limitation to the present invention.

[0042] Embodiment 1:

[0043] This embodiment discloses a method for analyzing N2O emissions from rivers, which can be, but is not limited to, executed by a computer device or virtual machine with certain computing resources, such as executed by an electronic device such as a personal computer, smartphone, personal digital assistant, or wearable device, or executed by a virtual machine.

[0044] As Figure 1 shown, a method for analyzing N2O emissions from rivers can, but is not limited to, include the following steps:

[0045] S1. Divide the pollution sources in the specified area and obtain the nitrogen pollutant emissions of each pollution source in the specified area during the historical period; wherein, the number of the historical periods is multiple. As an example, in this embodiment, the specified area is the Yangtze River Basin, the historical periods include 20 historical periods from 2000 to 2019, and the duration of each period is 1 year.

[0046] In step S1 of this embodiment, since it is difficult to obtain measured water quality data, the export coefficient method is used to obtain the nitrogen pollutant emissions of each pollution source in the specified area during the historical period, that is, the export coefficient method is used to estimate the nitrogen pollutant emissions of each pollution source, so as to evaluate the evolution trend of nitrogen pollutant emissions in the specified river basin corresponding to the specified area.

[0047] It should be noted that the export coefficient method can quickly estimate the nitrogen pollutant emissions of each pollution source during the historical period through the emission coefficients per unit area (or per unit activity) of different pollution sources in the absence of measured data, which is beneficial to improving the feasibility and applicability of the calculation.

[0048] Specifically, in step S1, the pollution sources in the specified area are divided into point pollution sources and non-point pollution sources; wherein, the point pollution sources include urban domestic sources, industrial sources, and / or rural domestic sources, and the non-point pollution sources include urban rainwater non-point sources, farmland planting sources, and / or livestock and poultry breeding sources. Based on this, it is beneficial to accurately calculate the total nitrogen input in the Yangtze River Basin and analyze the sources of nitrogen pollution.

[0049] S2. Subdivide the specified river basin corresponding to the specified area into sub-basins, and based on the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source, obtain the total nitrogen pollutant emissions of each sub-basin in the historical period and the nitrogen pollutant emission ratios of each pollution source in each sub-basin.

[0050] Specifically, in step S2, based on the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source, obtaining the total nitrogen pollutant emissions of each sub-basin in the historical period and the nitrogen pollutant emission ratios of each pollution source in each sub-basin includes:

[0051] S201. Based on the location information of each pollution source and the location information of each sub-basin, perform nitrogen input source analysis on each sub-basin to obtain the pollution source set of each sub-basin; it should be noted that in this embodiment, the nitrogen input source analysis is carried out according to the pollutant diffusion mode of generation - collection - emission, and at the same time, combined with the population distribution, actual land use, industrial layout, factory distribution, sewage treatment plant distribution, and outfall distribution in the catchment area, etc., to simulate the spatial distribution of each pollution source and each sub-basin, so as to quantitatively identify the source composition of nitrogen pollutant input in each sub-basin of the specified river basin, and then obtain the pollution source set of each sub-basin.

[0052] S202. Obtain the water flux of each sub-basin, and based on the water flux of each sub-basin, the nitrogen pollutant emissions of each pollution source, and the pollution source set of each sub-basin, obtain the nitrogen pollutant emission components of each pollution source in each sub-basin; specifically, in this embodiment, the calculation of nitrogen pollutant emission components is combined with the water flux of each sub-basin. As an example, if the specified river basin is divided into two sub-basins and the location of pollution source A is at the upstream of the two sub-basins, then pollution source A is included in the pollution source sets of both sub-basins, and the ratio of the nitrogen pollutant emission components of pollution source A in the two sub-basins is the ratio of the water fluxes of the two sub-basins.

[0053] S203. Based on the nitrogen pollutant emission components of each pollution source in each sub-basin, obtain the total nitrogen pollutant emissions of each sub-basin; specifically, in this embodiment, the total nitrogen pollutant emissions of any sub-basin is the sum of the nitrogen pollutant emission components of each pollution source within its pollution source set.

[0054] S204. Based on the nitrogen pollutant emission components of each pollution source in each sub-basin and the total nitrogen pollutant emissions of each sub-basin, obtain the nitrogen pollutant emission ratios of each pollution source in each sub-basin. As an example, if pollution source A is also included in the pollution source sets of any sub-basin, then the nitrogen pollutant emission ratio of pollution source A in any sub-basin is: in any sub-basin, the ratio of the nitrogen pollutant emission component of pollution source A to the total nitrogen pollutant emissions.

[0055] S3. Visualize the spatio-temporal distribution of pollution sources for each sub-basin based on the total nitrogen pollutant emissions in each sub-basin during the historical period and the nitrogen pollutant emission ratios of each pollution source in each sub-basin.

[0056] S4. Construct a water quality prediction model and use the total nitrogen pollutant emissions of each sub-basin as the input data of the water quality prediction model, so as to obtain the water quality concentration of each sub-basin during the historical period based on the water quality prediction model. It should be understood that the input data of the water quality prediction model also includes data such as geographical variables and climate variables. The construction of the water quality prediction model and the prediction of water quality concentration are implemented using existing technologies. Specifically, in this embodiment, the water quality prediction model uses a machine learning model. During the construction of the water quality prediction model, historical data can be used for model training, and the performance indicators of statistical models: coefficient of determination (R 2 ), root mean square error (RMSE), and mean absolute error (MAE) are used to evaluate the prediction performance to verify the model accuracy.

[0057] In step S4, all sub-basins are divided into urban sub-basins and rural sub-basins, and water quality prediction models are constructed for urban sub-basins and rural sub-basins respectively. It should be noted that considering the completely different response relationships between the dissolved inorganic nitrogen concentration in urban and rural rivers and the intensity of anthropogenic nitrogen emissions, in this embodiment, the sub-basins are divided into urban and rural sub-basins and modeled separately. One water quality prediction model includes all sub-basins mainly in urban areas, and the other water quality prediction model includes all sub-basins mainly in rural areas, which can help improve the accuracy of water quality concentration prediction results.

[0058] S5. Obtain the hydrological parameters of each sub-basin during the historical period, and visualize the spatio-temporal distribution of the hydrological parameters for each sub-basin according to the hydrological parameters of each sub-basin during the historical period. Among them, the hydrological parameters include water depth, runoff velocity, water temperature, and water surface area. In this embodiment, the meteorological data corresponding to the specified river basin is obtained in advance from the GSOD (Global Summary of the Day) of the National Oceanic and Atmospheric Administration of the United States, and based on this meteorological data, the SWAT (Soil and Water Assessment Tool) model is used to simulate the hydrological parameters of each sub-basin in the specified river basin, so as to obtain the hydrological parameters of each sub-basin. In this embodiment, before applying the SWAT model for hydrological parameter simulation, the SWAT-CUP (Calibration and Uncertainty Programs) software is also used to perform model calibration, verification, sensitivity, and uncertainty analysis on the SWAT model, so as to improve the accuracy of hydrological parameter simulation results.

[0059] S6. Based on the water quality concentrations and hydrological parameters of each sub - basin, the N2O emissions of each sub - basin in the historical period are obtained, and based on the N2O emissions of each sub - basin in the historical period, the spatio - temporal distribution visualization of the N2O emissions of each sub - basin is carried out. Specifically, in this embodiment, an air - water interface gas exchange model can be used to simulate the process of N2O transported from each sub - basin to the atmosphere, and the N2O emissions of each sub - basin are obtained; it should be understood that the sum of the N2O emissions of each sub - basin is the total N2O emission of the specified river basin in the historical period.

[0060] In this embodiment, when carrying out the spatio - temporal distribution visualization of pollution sources, hydrological parameters, and N2O emissions for each sub - basin, ArcGIS (a GIS platform integrating functions such as spatial data display, editing, querying, analyzing, and mapping) is used to achieve it.

[0061] It should be noted that using ArcGIS to achieve the spatio - temporal distribution visualization of pollution sources, hydrological parameters, and N2O emissions can intuitively present the data distribution and change trends through spatial analysis and geographic information visualization technology, which helps to improve the accuracy of analysis.

[0062] It should be noted that by carrying out the spatio - temporal distribution visualization of pollution sources for each sub - basin, the changes in the emission ratios of various pollution sources to nitrogen pollutants in each sub - basin and the changes in pollution load intensity, etc., can be obtained, which is convenient for researchers to analyze the pollution degree, main pollutant composition, pollution hotspots, and changes in pollution distribution in the specified area in the historical period; by carrying out the spatio - temporal distribution visualization of hydrological parameters for each sub - basin, it is convenient for researchers to analyze the spatio - temporal variation laws of basin hydrological characteristics; by carrying out the spatio - temporal distribution visualization of N2O emissions for each sub - basin, it is convenient for researchers to analyze the change laws of the total N2O emissions from rivers and the spatio - temporal heterogeneity caused by human activities, natural conditions, etc., to explore the hotspots of N2O emissions and the areas with obvious changes in the specified river basin corresponding to the specified area, and at the same time, the inter - annual and intra - annual change laws of N2O emissions can be analyzed.

[0063] In this embodiment, after obtaining the N2O emissions of each sub - basin in the historical period, the method further includes:

[0064] S7. Use LMDI (Logarithmic Mean Divisia Index) to analyze the driving factors of the N2O emission increment of each sub - basin, so as to obtain the driving factors affecting the N2O emissions of each sub - basin.

[0065] It should be noted that in this embodiment, the driving factors of N2O emissions can be determined through each sub-basin, a prediction index system for N2O emissions in the specified river basin can be constructed, and sensitivity analysis can be further carried out to analyze the key driving factors of N2O emissions in the specified river basin.

[0066] In addition, in this embodiment, based on the analysis of the key driving factors of N2O emissions in the specified river basin, the key adjustable and controllable driving factors can be located, so as to clarify the contribution of influencing factors such as human living load, meteorological conditions, and rainfall events to river N2O emissions, analyze the different response mechanisms between river N2O emissions and anthropogenic nitrogen emissions in different regions, accurately quantify the effectiveness of reducing anthropogenic emissions in different regions, and help determine the policies and practices for water quality improvement and greenhouse gas emission reduction, pointing out the key breakthrough directions for river N2O emissions and greenhouse gas treatment.

[0067] This embodiment discloses a method for calculating nitrogen input and analyzing N2O emissions based on spatio-temporal distribution visualization. During the process of analyzing river N2O emissions, through visualizing the spatio-temporal distribution of pollution sources, the spatio-temporal distribution of hydrological parameters, and the spatio-temporal distribution of N2O emissions, the contribution of pollution sources in each sub-basin can be intuitively presented, the spatio-temporal changes of hydrological parameters can be clearly shown, and the hot spots and long-term change laws of N2O emissions can be revealed, supporting more accurate pollution control decisions, facilitating the improvement of the accuracy of researchers in pollution tracking, water quality simulation, and emission assessment, and thus providing a scientific basis for basin greenhouse gas treatment.

[0068] Embodiment 2:

[0069] This embodiment discloses a river N2O emission analysis system for implementing the river N2O emission analysis method in Embodiment 1; as Figure 2 shown, the river N2O emission analysis system includes:

[0070] A nitrogen pollutant emission calculation module, which is used to divide pollution sources in a specified area and obtain the nitrogen pollutant emissions of each pollution source in the specified area during a historical period; it is also used to divide sub-basins in the specified river basin corresponding to the specified area, and based on the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source, obtain the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratio of each pollution source in each sub-basin during the historical period; wherein, the number of historical periods is multiple;

[0071] A water quality concentration prediction module, which is communicatively connected to the nitrogen pollutant emission calculation module, is used to construct a water quality prediction model, and use the total nitrogen pollutant emissions of each sub-basin as the input data of the water quality prediction model, so as to obtain the water quality concentration of each sub-basin during the historical period based on the water quality prediction model;

[0072] A hydrological parameter acquisition module, communicatively connected to the nitrogen pollutant emission calculation module, for acquiring the hydrological parameters of each sub-basin in a historical period;

[0073] An N2O emission calculation module, communicatively connected to the water quality concentration prediction module and the hydrological parameter acquisition module respectively, for obtaining the N2O emissions of each sub-basin in a historical period according to the water quality concentration and hydrological parameters of each sub-basin;

[0074] A visualization processing module, communicatively connected to the nitrogen pollutant emission calculation module, the hydrological parameter acquisition module and the N2O emission calculation module respectively, for performing visual processing on the spatio-temporal distribution of pollution sources in each sub-basin according to the total nitrogen pollutant emissions of each sub-basin in a historical period and the nitrogen pollutant emission ratios of each pollution source in each sub-basin; for performing visual processing on the spatio-temporal distribution of hydrological parameters in each sub-basin according to the hydrological parameters of each sub-basin in a historical period; and also for performing visual processing on the spatio-temporal distribution of N2O emissions in each sub-basin according to the N2O emissions of each sub-basin in a historical period.

[0075] It should be noted that for the working process, working details and technical effects of the river N2O emission analysis system provided in this Embodiment 2, reference can be made to Embodiment 1, which will not be elaborated here.

[0076] Embodiment 3:

[0077] Based on Embodiment 1 or 2, this embodiment discloses an electronic device, which may be a smart phone, a tablet computer, a notebook computer or a desktop computer, etc. The electronic device may be referred to as a user terminal, a portable terminal, a desktop terminal, etc., as Figure 3 shown, the electronic device includes:

[0078] A memory, for storing computer program instructions; and,

[0079] A processor, for executing the computer program instructions to complete the operations of a river N2O emission analysis method as described in any one of Embodiment 1.

[0080] Specifically, the processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), or PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor. The main processor is a processor used to process data in the wake state, also known as the CPU (Central Processing Unit); the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen.

[0081] The memory 302 may include one or more computer-readable storage media, and the computer-readable storage media may be non-transitory. The memory 302 may further include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash storage devices. In some embodiments, the non-transitory computer-readable storage media in the memory 302 is used to store at least one instruction, and the at least one instruction is used to be executed by the processor 301 to implement the river N2O emission analysis method provided in Embodiment 1 of the present application.

[0082] In some embodiments, the terminal may also optionally include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302, and the communication interface 303 may be connected through a bus or signal lines. Each peripheral device may be connected to the communication interface 303 through a bus, signal lines, or a circuit board. Specifically, the peripheral device includes at least one of a radio frequency circuit 304, a display screen 305, and a power supply 306.

[0083] The communication interface 303 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 301 and the memory 302. In some embodiments, the processor 301, the memory 302, and the communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302, and the communication interface 303 may be implemented on a separate chip or circuit board, and this embodiment does not limit this.

[0084] The radio frequency circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 304 communicates with the communication network and other communication devices through electromagnetic signals.

[0085] The display screen 305 is used to display the UI (User Interface). The UI can include any combination of graphics, text, icons, and videos.

[0086] The power supply 306 is used to supply power to each component in the electronic device.

[0087] Embodiment 4:

[0088] Based on any one of Embodiments 1 to 3, this embodiment discloses a computer program product, including a computer program or instructions. When the computer program or the instructions are executed by a computer, they implement a method for analyzing river N2O emissions as described in any one of Embodiments 1. Among them, the computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0089] Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Optionally, they can be implemented by program codes executable by the computing device. Thus, they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to implement. In this way, the present invention is not limited to any specific combination of hardware and software.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for analyzing N2O emissions from rivers, characterized in that Including: Dividing the pollution sources in a specified area and obtaining the nitrogen pollutant emissions of each pollution source in the specified area during historical periods; wherein, the number of the historical periods is multiple; Dividing the specified river basin corresponding to the specified area into sub-basins, and obtaining the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratio of each pollution source in each sub-basin during historical periods according to the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source; Performing visual processing on the temporal and spatial distribution of pollution sources in each sub-basin according to the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratio of each pollution source in each sub-basin during historical periods; Constructing a water quality prediction model, and using the total nitrogen pollutant emissions of each sub-basin as the input data of the water quality prediction model, so as to obtain the water quality concentration of each sub-basin during historical periods based on the water quality prediction model; Obtaining the hydrological parameters of each sub-basin during historical periods, and performing visual processing on the temporal and spatial distribution of the hydrological parameters of each sub-basin according to the hydrological parameters of each sub-basin during historical periods; Obtaining the N2O emissions of each sub-basin during historical periods according to the water quality concentration and hydrological parameters of each sub-basin, and performing visual processing on the temporal and spatial distribution of the N2O emissions of each sub-basin according to the N2O emissions of each sub-basin during historical periods; 2. The method for analyzing river N2O emissions according to claim 1, characterized in that, Using the output coefficient method to obtain the nitrogen pollutant emissions of each pollution source in the specified area during historical periods; 3. The method for analyzing N2O emissions from rivers according to claim 1, wherein The pollution sources in the specified area are divided into point pollution sources and non-point pollution sources; wherein, the point pollution sources include urban domestic sources, industrial sources, and / or rural domestic sources, and the non-point pollution sources include urban rainwater non-point sources, farmland planting sources, and / or livestock and poultry breeding sources; 4. The method for analyzing N2O emissions from rivers according to claim 1, wherein Obtaining the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratio of each pollution source in each sub-basin during historical periods according to the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source, including: Performing nitrogen input source analysis on each sub-basin according to the location information of each pollution source and the location information of each sub-basin to obtain the pollution source set of each sub-basin; Obtaining the water flux of each sub-basin, and obtaining the nitrogen pollutant emission component of each pollution source in each sub-basin according to the water flux of each sub-basin, the nitrogen pollutant emissions of each pollution source, and the pollution source set of each sub-basin; Obtaining the total nitrogen pollutant emissions of each sub-basin according to the nitrogen pollutant emission components of each pollution source in each sub-basin; Obtaining the nitrogen pollutant emission ratio of each pollution source in each sub-basin according to the nitrogen pollutant emission components of each pollution source in each sub-basin and the total nitrogen pollutant emissions of each sub-basin; 5. A method for analyzing N2O emissions from rivers according to claim 1, characterized in that, Dividing all sub-basins into urban-type sub-basins and rural-type sub-basins, and constructing water quality prediction models for urban-type sub-basins and rural-type sub-basins respectively; 6. The river N2O emission analysis method according to claim 1, characterized in that, When performing visual processing on the temporal and spatial distribution of pollution sources, hydrological parameters, and N2O emissions in each sub-basin, ArcGIS is used to implement; 7. The method for analyzing N2O emissions from rivers according to claim 1, wherein After obtaining the N2O emissions of each sub-basin during historical periods, the method further includes: Use LMDI to analyze the driving factors of the N2O emission increment in each sub-basin in order to obtain the driving factors affecting N2O emissions in each sub-basin.

8. A river N2O emission analysis system, characterized in that, Including: A nitrogen pollutant emission calculation module, which is used to divide the pollution sources in a specified area and obtain the nitrogen pollutant emissions of each pollution source in the specified area during the historical period; It is also used to divide the sub-basins of the specified river basin corresponding to the specified area, and based on the location information of each pollution source, the location information of each sub-basin, and the nitrogen pollutant emissions of each pollution source, obtain the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratio of each pollution source in each sub-basin during the historical period; among them, the number of historical periods is multiple; A water quality concentration prediction module, which is communicatively connected to the nitrogen pollutant emission calculation module, is used to construct a water quality prediction model, and use the total nitrogen pollutant emissions of each sub-basin as the input data of the water quality prediction model, so as to obtain the water quality concentration of each sub-basin during the historical period based on the water quality prediction model; A hydrological parameter acquisition module, which is communicatively connected to the nitrogen pollutant emission calculation module, is used to acquire the hydrological parameters of each sub-basin during the historical period; An N2O emission calculation module, which is communicatively connected to the water quality concentration prediction module and the hydrological parameter acquisition module respectively, is used to obtain the N2O emissions of each sub-basin during the historical period according to the water quality concentration and hydrological parameters of each sub-basin; A visualization processing module, which is communicatively connected to the nitrogen pollutant emission calculation module, the hydrological parameter acquisition module, and the N2O emission calculation module respectively, is used to perform spatio-temporal distribution visualization processing of pollution sources for each sub-basin according to the total nitrogen pollutant emissions of each sub-basin and the nitrogen pollutant emission ratio of each pollution source in each sub-basin during the historical period; it is used to perform spatio-temporal distribution visualization processing of hydrological parameters for each sub-basin according to the hydrological parameters of each sub-basin during the historical period; it is also used to perform spatio-temporal distribution visualization processing of N2O emissions for each sub-basin according to the N2O emissions of each sub-basin during the historical period.

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