Multi-scale coupled drainage basin high-resolution pollution source emission list construction method

Abstract

The invention relates to the technical field of water pollution treatment, and discloses a multi-scale coupled drainage basin high-resolution pollution source emission list construction method, which comprises the following steps: acquiring multi-scale administrative division statistical data, and preprocessing the multi-scale administrative division statistical data to obtain multi-scale pollution source basic data; converting the basic data space of the multi-scale pollution source into gridding space distribution data of each pollution source in a target drainage basin range by utilizing a space mapping relation between an administrative scale and a gridding drainage basin scale; calculating multi-source pollution emission data based on the gridding spatial distribution data of each pollution source in the target drainage basin range; and superposing the multi-source pollution emission data on the watershed grid scale, and constructing a watershed high-resolution pollution source emission list. According to the method, accurate description of drainage basin pollution source emission and identification of key pollution units are realized, and the scientization, refinement and datamation levels of regional water environment treatment can be effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water pollution control, in particular to a multi-scale coupled watershed high-resolution pollution source emission inventory construction method. BACKGROUND

[0002] With the continuous advancement of water pollution prevention and control work, in recent years, the overall water quality of rivers and lakes has shown a continuous improvement trend. However, with the growth of population, urban expansion, agricultural intensification and industrial production, the amount of anthropogenic nutrient salt emissions from activities such as domestic sources, agricultural sources, industrial sources and aquaculture continues to increase, posing a serious challenge to watershed water environment management. Accurately identifying the hotspots of nutrient salt emissions and key driving factors has become an important foundation for achieving precise pollution control in the watershed and promoting the improvement of water ecological environment.

[0003] In the process of water pollution control, the quantitative identification of pollution sources has obvious limitations in time scale and spatial distribution scale, which restricts the identification of key driving factors and cannot provide reliable data support for water pollution control. SUMMARY

[0004] The present application provides a multi-scale coupled watershed high-resolution pollution source emission inventory construction method to solve the problem that the quantitative identification method of pollution sources has obvious limitations in time scale and spatial distribution scale, which restricts the identification of key driving factors and cannot provide reliable data support for water pollution control.

[0005] In the first aspect, the present application provides a multi-scale coupled watershed high-resolution pollution source emission inventory construction method, which comprises:

[0006] Obtain multi-scale administrative division statistical data, preprocess the multi-scale administrative division statistical data, and obtain multi-scale pollution source basic data; Using the spatial mapping relationship between the administrative scale and the grid watershed scale, the multi-scale pollution source basic data is spatially converted into the grid spatial distribution data of each pollution source within the target watershed range; Based on the grid spatial distribution data of each pollution source within the target watershed range, the multi-source pollution emission data is calculated; Superimpose the multi-source pollution emission data on the watershed grid scale to construct the watershed high-resolution pollution source emission inventory.

[0007] The application provides a multi-scale coupled basin high-resolution pollution source emission inventory construction method, which utilizes the spatial mapping relationship between the administrative scale and the grid basin scale to convert multi-scale pollution source basic data into grid spatial distribution data of each pollution source within the target basin range, calculates multi-source pollution emission data based on the grid spatial distribution data of each pollution source within the target basin range, comprehensively utilizes multi-source data, cross-scale analysis technology and emission factors, realizes fine quantification of point source and area source pollutant emission through the bidirectional cooperation of grid scale and administrative scale, and then superimposes the multi-source pollution emission data on the basin grid scale to construct a basin high-resolution pollution source emission inventory, realizes cross-level data consistency between the administrative scale and the basin scale, constructs an emission inventory covering multi-type pollution sources such as industrial point sources, agricultural area sources and living sources at a high spatio-temporal resolution, provides a unified and traceable data basis for basin water environment simulation and management, realizes accurate characterization of basin pollution source emission and identification of key pollution units, and can effectively improve the scientific, fine and data level of regional water environment governance.

[0008] In an optional implementation, the multi-scale administrative division statistical data is preprocessed to obtain multi-scale pollution source basic data, including: The multi-scale administrative division statistical data is subjected to format unification processing, unit conversion processing, missing value processing and abnormal value identification processing to obtain processed multi-scale administrative division statistical data. The processed multi-scale administrative division statistical data is subjected to hierarchical correlation and time alignment to obtain multi-scale pollution source basic data.

[0009] The application provides a multi-scale coupled basin high-resolution pollution source emission inventory construction method, which is subjected to standardized processing on multi-scale administrative division statistical data, guarantees the data quality of multi-scale pollution source basic data, realizes cross-scale integration of administrative statistical data, and establishes bottom data support for subsequent spatial conversion of pollution sources.

[0010] In an optional implementation, the multi-scale pollution source basic data is converted into grid spatial distribution data of each pollution source within the target basin range by utilizing the spatial mapping relationship between the administrative scale and the grid basin scale, including: A grid of the target basin is constructed, and the grid of the target basin is superimposed on a spatial layer to obtain a basic spatial grid. The multi-scale pollution source basic data is mapped to the basic spatial grid by utilizing a pollution source spatial carrier mapping rule to obtain grid-mapped pollution source data of various types. The grid-mapped pollution source data of various types and the basin boundary of the target basin are superimposed and cropped to obtain grid spatial distribution data of each pollution source within the target basin range.

[0011] The application provides a multi-scale coupled watershed high-resolution pollution source emission inventory construction method, which converts multi-scale pollution source basic data of an administrative scale into grid scale data, realizes accurate mapping of administrative district data to watershed spatial units, and independently converts each type of pollution source to the grid scale and clips to the watershed boundary, realizes spatial positioning of each source, and lays a spatial foundation for subsequent high-resolution emission calculation.

[0012] In an optional embodiment, the multi-source pollution emission amount data is calculated based on the gridized spatial distribution data of each pollution source within the target watershed range, comprising: constructing a calculation model of the emission amount of each pollution source; inputting the gridized spatial distribution data of each pollution source within the target watershed range into the calculation model of the emission amount of each pollution source respectively to obtain an emission amount grid layer of each type of pollution source on the grid scale of the watershed; unifying the data structure corresponding to the emission amount grid layer of each type of pollution source on the grid scale of the watershed to obtain the multi-source pollution emission amount data.

[0013] The application provides a multi-scale coupled watershed high-resolution pollution source emission inventory construction method, which constructs a calculation model of the emission amount of each pollution source based on the grid scale, and then calculates the pollution emission intensity of each grid unit by using the calculation model of the emission amount of each pollution source, so as to obtain the fine distribution of nutrients such as nitrogen and phosphorus in the watershed. The emission amount calculation is strictly based on the data of the grid scale of the watershed, so that the hydrological consistency and spatial precision of the emission result are ensured from the source.

[0014] In an optional embodiment, the calculation model of the emission amount of each pollution source comprises a rural domestic sewage nutrient salt emission model, a scattered livestock and poultry nutrient salt emission model, a farmland nitrogen and phosphorus emission model, a city non-point source nutrient salt emission model, a soil erosion source nutrient salt emission model, an atmospheric deposition nutrient salt emission model, an industrial source emission model and a freshwater aquaculture emission model.

[0015] The application provides a multi-scale coupled watershed high-resolution pollution source emission inventory construction method, which constructs a multi-pollution source independent modeling system, covers life sources, agricultural sources, industrial sources, city sources, erosion sources, atmospheric sources and breeding sources, and guarantees the comprehensiveness and scientificity of emission estimation.

[0016] In an optional embodiment, the multi-source pollution emission amount data is superimposed on the grid scale of the watershed to construct a watershed high-resolution pollution source emission inventory, comprising: performing grid-by-grid superimposition of the multi-source pollution emission amount data according to a grid index to obtain the total emission amount spatial distribution of each type of pollutant within the target watershed range; The consistency of the spatial distribution of the total emission amount of various pollutants in the target basin range is checked, and deviation correction is performed based on the consistency checking result, to obtain the high-resolution pollution source emission inventory of the basin.

[0017] The application provides a multi-scale coupled high-resolution pollution source emission inventory construction method, which superimposes multi-source pollution emission data in a grid-by-grid manner according to a grid index, accurately calculates the total emission amount of various pollutants in the grid scale of the basin, and then obtains the high-resolution pollution source emission inventory of the basin by checking the consistency of the spatial distribution of the total emission amount of various pollutants in the target basin range and performing deviation correction, so as to accurately depict the spatial difference of pollution emission in the basin and provide high-quality input data for subsequent water environment simulation.

[0018] In the second aspect, the application provides a multi-scale coupled high-resolution pollution source emission inventory construction device, which comprises: A preprocessing module is configured to obtain multi-scale administrative division statistical data, pre-process the multi-scale administrative division statistical data, and obtain multi-scale pollution source basic data. A conversion module is configured to use the spatial mapping relationship between the administrative scale and the grid basin scale to spatially convert the multi-scale pollution source basic data into grid spatial distribution data of various pollution sources in the target basin range. A calculation module is configured to calculate multi-source pollution emission data based on the grid spatial distribution data of various pollution sources in the target basin range. A construction module is configured to superimpose the multi-source pollution emission data in the grid scale of the basin, and construct a high-resolution pollution source emission inventory of the basin.

[0019] In the third aspect, the application provides an electronic device, which comprises a memory and a processor, the memory and the processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the multi-scale coupled high-resolution pollution source emission inventory construction method of the first aspect or any of the corresponding embodiments.

[0020] In the fourth aspect, the application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to make a computer execute the multi-scale coupled high-resolution pollution source emission inventory construction method of the first aspect or any of the corresponding embodiments.

[0021] In the fifth aspect, the application provides a computer program product, which comprises computer instructions, and the computer instructions are used to make a computer execute the multi-scale coupled high-resolution pollution source emission inventory construction method of the first aspect or any of the corresponding embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0023] Figure 1 is a schematic diagram of an application scenario according to an embodiment of the present application; Figure 2 is a first flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application; Figure 3 is a second flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application; Figure 4 is a third flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application; Figure 5 is a fourth flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application; Figure 6 is a fifth flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application; Figure 7 is a flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application; Figure 8 is a structural block diagram of a multi-scale coupled watershed high-resolution pollution source emission inventory construction device according to an embodiment of the present application; Figure 9 is a hardware structure schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0025] It can be understood that, before using the technical solutions disclosed in the embodiments of the present application, the type of personal information involved in the present application, the use range, the use scenario and the like should be informed to the user and the authorization of the user should be obtained according to relevant laws and regulations.

[0026] The terms "first", "second" are only for descriptive purpose, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0027] As an optional application scenario of the embodiments of the present application, as shown in the figure, Figure 1 The multi-scale coupled watershed high-resolution pollution source emission inventory construction system can include at least one terminal device and at least one server, Figure 1 The system includes a computer 101, a mobile terminal 102 and a server 103, and the terminal devices such as the computer 101 and the mobile terminal 102 are connected to the server 103 through a network 110.

[0028] The terminal device can be a smart phone, a tablet computer, a notebook computer, a palm computer, and can also be a desktop computer, a game console, a smart television, a smart wearable device, a vehicle-mounted terminal, a VR (Virtual Reality) device, an AR (Augmented Reality) device, etc. The server 103 can be a stand-alone physical server, a server cluster or a distributed system, or a cloud server providing cloud services. The network 110 can be a wired network or a wireless network, and its examples include but are not limited to the Internet, an intranet, a local area network, a wide area network, a mobile communication network and a combination thereof.

[0029] In order to meet the demand of water environment management for data refinement, it is an important research direction to construct high-resolution pollution source emission inventory.

[0030] Large-scale river models (such as global or regional nutrient balance models, environmental load models, etc.) usually use statistical data at the provincial level or above as input. Such data is relatively rough in spatial resolution, while the model often needs grid scale, watershed scale and other non-administrative boundary data input, thus causing obvious spatial scale mismatch problem.

[0031] To solve the problem of inconsistent administrative data and model scales, the provincial or municipal pollution source emissions are allocated to grid cells through land use data and geographic weighting distribution. However, this method usually uses a single weight (such as arable land area, population density, etc.), ignoring the micro-scale heterogeneity of population structure, economic activity intensity, land use pattern, and industrial layout in different regions. For example, when estimating the living source nutrient salt emissions using protein intake level, the differences in urban and rural lifestyles and sanitation facilities are often not effectively distinguished, resulting in a significant increase in the uncertainty of living source emissions. Similarly, in the downscaling calculation of farmland source emissions and livestock breeding source emissions, simple land use weighting often fails to reflect key characteristics such as changes in arable land layout and differences in breeding scale.

[0032] In addition, there are several technical difficulties in the fine quantification of multi-source pollution emissions. Industrial wastewater discharge is an important source of nutrient salts in densely populated areas, but related methods often assume that all industrial wastewater is completely collected and treated by urban wastewater treatment plants, and directly use the average emission concentration to estimate nutrient salt emissions, which can easily cause systematic underestimation of industrial source emissions. Freshwater aquaculture, as one of the important driving factors of lake eutrophication in China, is often ignored or only averaged using provincial statistical data in some studies, which cannot reflect the high spatial concentration of aquaculture activities. In addition, process-based sources such as soil erosion and atmospheric deposition differ significantly in different geomorphic units, and the lack of fine spatial expression further limits the accuracy of the emission inventory.

[0033] Due to the obvious limitations of related methods in data scale, spatial distribution method, and multi-source modeling, the generated emission inventory cannot accurately identify the priority control areas within the watershed, and cannot provide reliable basis for watershed water quality simulation, precise management, and pollution control measure evaluation. Especially in the context of complex human activities in the watershed, the lack of high-resolution emission inventory leads to significant spatio-temporal uncertainty in nutrient salt emissions, which restricts the identification of key driving factors.

[0034] Therefore, there is an urgent need for a high-resolution pollution source emission inventory construction method that can integrate multi-scale statistical data, adapt to multiple pollution source types, and achieve cross-level conversion from administrative scale to grid scale to watershed scale, to support more efficient and scientific watershed water environment management and decision-making.

[0035] In order to solve the problems of inconsistency between administrative scale and basin scale, difficulty in accurately quantifying multi-source emissions, rough emission space allocation, and lack of high-resolution emission pattern in the construction of current basin pollution source emission inventory, the embodiment of the present application provides a multi-scale coupled basin high-resolution pollution source emission inventory construction method, which can be applied to aspects such as basin water environment simulation, pollutant tracing, water quality model driving, precise pollution control and regional emission reduction decision-making, etc. The embodiment of the present application can accurately depict the spatial differential distribution of different pollution sources in the basin, identify key driving factors, and provide reliable data support for basin water environment management, water quality simulation and precise pollution control, by constructing a multi-scale statistical data system, establishing a multi-pollution source independent quantification model, constructing an administrative-grid-basin spatial mapping mechanism, and combining high-resolution superposition and spatial statistical analysis technology.

[0036] According to the embodiment of the present application, a multi-scale coupled basin high-resolution pollution source emission inventory construction method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown.

[0037] In the present embodiment, a multi-scale coupled basin high-resolution pollution source emission inventory construction method is provided, which can be used in the terminal device described above, Figure 2 is a flowchart of a multi-scale coupled basin high-resolution pollution source emission inventory construction method according to the embodiment of the present application, as Figure 2 shown, the flow includes the following steps: Step S201, obtaining multi-scale administrative division statistical data, preprocessing the multi-scale administrative division statistical data to obtain multi-scale pollution source basic data.

[0038] Specifically, first, collect statistical data related to pollution sources from multi-level administrative units, including but not limited to population, urban and rural structure, cultivated land area, crop type, fertilizer application rate, livestock and poultry breeding quantity, enterprise pollution data, sewage treatment capacity, urban impervious surface, meteorological data, atmospheric deposition data and river and lake water distribution, etc. That is, statistical yearbooks, environmental statistics, bulletins and special investigation data of multi-level administrative units are collected respectively to form multi-scale administrative division statistical data, which at least includes population, industrial structure, agricultural output, livestock and poultry breeding scale, industrial emissions, urban sewage treatment capacity, atmospheric deposition flux and land use type.

[0039] Further, the social, economic, land use and environmental data related to pollution sources in the multi-scale administrative division statistical data are preprocessed to construct a multi-scale pollution source basic database.

[0040] Further, the multi-scale administrative division statistical data includes multi-year data, and thus time series analysis is performed on the emission inventories of different years to identify long-term trends of pollution emissions.

[0041] In step S202, the multi-scale pollution source basic data is spatially converted into grid spatial distribution data of the pollution sources within the target watershed range by using the spatial mapping relationship between the administrative scale and the grid watershed scale.

[0042] Specifically, for different types of pollution sources, a spatial mapping relationship between the administrative division unit, the grid unit, and the watershed boundary is established to realize spatial conversion of the pollution sources from the administrative scale to the watershed scale.

[0043] In step S203, multi-source pollution emission data is calculated based on the grid spatial distribution data of the pollution sources within the target watershed range.

[0044] Specifically, on the watershed grid scale, the pollution emission of each type of pollution source is calculated to obtain multi-source pollution emission based on the watershed grid.

[0045] In step S204, the multi-source pollution emission data is superimposed on the watershed grid scale to construct a high-resolution pollution source emission inventory of the watershed.

[0046] Specifically, the emission results of multiple types of pollution sources are superimposed on the watershed grid scale to construct a high-resolution pollution source emission inventory of the watershed. The high-resolution pollution source emission inventory of the watershed includes the pollution emission of different pollution sources, and the grid index corresponding to each pollution source can also be recorded.

[0047] Further, the high-resolution pollution source emission inventory of the watershed can be used for driving the watershed water quality model, thereby supporting pollution source tracing analysis and regional emission reduction scenario simulation. Specifically, the high-resolution pollution source emission inventory of the watershed can quantitatively evaluate the implementation effect of pollution control strategies and identify potential emission reduction spaces. Through pollution source emission structure decomposition, more targeted pollution control strategies can be developed. At the same time, the high-resolution pollution source emission inventory of the watershed can be used as the basic input of the watershed water quality process simulation model, and can be widely applied to regional water environment management, water quality model driving, high-risk area early warning, and watershed governance decision-making scenarios.

[0048] Further, based on the constructed high-resolution pollution source emission inventory of the watershed, spatial heterogeneity analysis of pollution load is performed to identify the pollution contribution intensity of different sub-watersheds, administrative units, and water system nodes, and to clarify the key control units of pollution emissions. By coupling multi-scale weight analysis and emission intensity, the dominant source of pollution emissions and its spatio-temporal variation law can be revealed to provide quantitative basis for precise pollution control of the watershed.

[0049] The embodiment provides a multi-scale coupled high-resolution pollution source emission inventory construction method for a watershed, which is used for spatial conversion of multi-scale pollution source basic data into grid spatial distribution data of each pollution source in a target watershed range based on a spatial mapping relationship between an administrative scale and a grid watershed scale, calculation of multi-source pollution emission data based on the grid spatial distribution data of each pollution source in the target watershed range, comprehensive utilization of multi-source data, cross-scale analysis technology and an emission factor, fine quantification of point source and non-point source pollutant emissions through bidirectional cooperation of a grid scale and an administrative scale, superposition of multi-source pollution emission data on the grid scale, construction of a high-resolution pollution source emission inventory for the watershed, realization of unified emission inventory construction of point sources and non-point sources through spatial coupling of the administrative scale, the grid scale and the watershed scale, guarantee of cross-level data consistency between the administrative scale and the watershed scale, construction of an emission inventory covering multi-type pollution sources such as industrial point sources, agricultural non-point sources and domestic sources at a high spatiotemporal resolution, provision of unified and traceable data for watershed water environment simulation and management, realization of accurate characterization of pollution source emissions and identification of key pollution units in the watershed, and effective improvement of the scientific, fine and data-based level of regional water environment management.

[0050] In the embodiment, a multi-scale coupled high-resolution pollution source emission inventory construction method for a watershed is provided, which can be used for the terminal device, Figure 3 is a flowchart of a multi-scale coupled high-resolution pollution source emission inventory construction method according to the embodiment of the application, as Figure 3 shown, the flowchart comprises the following steps: In step S301, multi-scale administrative division statistical data is acquired, and the multi-scale administrative division statistical data is preprocessed to obtain multi-scale pollution source basic data.

[0051] Specifically, multi-category statistical data of multi-level administrative units is collected, including population, land use, agricultural production, livestock and poultry breeding scale, industrial enterprise pollution data, urban sewage treatment data, atmospheric deposition, freshwater aquaculture and the like; the data of different years and different departments is converted into a unified format, calibrated for time consistency and checked for spatial boundary, and a multi-scale pollution source basic database is established; for missing values, abnormal values and the like, data quality control can be performed by using interpolation, abnormality identification and the like, so as to ensure the accuracy of subsequent modeling.

[0052] The step S301 comprises the following steps. In step S3011, the multi-scale administrative division statistical data is processed in a unified format, unit conversion, missing value processing and abnormal value identification processing, to obtain processed multi-scale administrative division statistical data.

[0053] Specifically, the data of different sources, different times and different scales are unified in format, converted in unit, processed for missing values and identified for abnormal values.

[0054] Further, in order to ensure the data quality of the multi-scale pollution source basic data, the following preprocessing is performed: time normalization: linear interpolation or moving average is used to unify the statistical values of different years to the same reference year; spatial boundary verification: the spatial range of each data is unified by using high-resolution administrative region vector; missing item filling: the missing data is completed by using regional mean method, trend extrapolation method or regression estimation method based on related variables; unit standardization: all data are unified and adjusted to annual scale and international common unit system; denoising processing: the abnormal values are identified and replaced by using quartile range method or sliding window method.

[0055] In step S3012, the processed multi-scale administrative division statistical data are associated with levels and time-aligned to obtain the multi-scale pollution source basic data.

[0056] Specifically, based on the administrative division code, the spatial boundary and the time identifier, the multi-scale pollution source basic data are associated with levels and time-aligned to form a pollution source basic database with a multi-level structure of multi-level administrative units.

[0057] In step S302, the multi-scale pollution source basic data are spatially converted into grid spatial distribution data of each pollution source in the target watershed range by using the spatial mapping relationship between the administrative scale and the grid watershed scale. For details, refer to step S202 of the embodiment shown in Figure 2 The step S202 of the embodiment shown in is not repeated here.

[0058] In step S303, the multi-source pollution emission data are calculated based on the grid spatial distribution data of each pollution source in the target watershed range. For details, refer to step S203 of the embodiment shown in Figure 2 The step S203 of the embodiment shown in is not repeated here.

[0059] In step S304, the multi-source pollution emission data are superimposed on the watershed grid scale to construct a watershed high-resolution pollution source emission inventory. For details, refer to step S204 of the embodiment shown in Figure 2 The step S204 of the embodiment shown in is not repeated here.

[0060] The multi-scale coupled watershed high-resolution pollution source emission inventory construction method provided in this embodiment can ensure the data quality of the multi-scale pollution source basic data by standardizing the multi-scale administrative division statistical data, realize the cross-scale integration of the administrative statistical data, and establish bottom data support for the subsequent spatial transformation of the pollution source.

[0061] In this embodiment, a multi-scale coupled watershed high-resolution pollution source emission inventory construction method is provided, which can be used for the terminal device described above,Figure 4 is a flow chart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application, as shown in the figure, the flow comprises the following steps: Figure 4 Step S401, multi-scale administrative division statistical data is obtained, and the multi-scale administrative division statistical data is preprocessed to obtain multi-scale pollution source basic data. For details, please refer to step S301 of the embodiment shown in Figure 3 , which will not be repeated here.

[0062] Step S402, using the spatial mapping relationship between the administrative scale and the grid watershed scale, the multi-scale pollution source basic data is spatially converted into the grid spatial distribution data of each pollution source within the target watershed range.

[0063] Specifically, an administrative scale-grid scale-watershed scale mapping method for multiple pollution source types is established: for rural life source, agricultural soil source, free-range livestock and poultry source, large-scale breeding source, industrial source, urban non-point source, soil erosion source, atmospheric deposition source, aquaculture source and other pollution sources, spatial mapping rules based on land use type, population distribution, water body pattern, impervious surface coverage, industrial enterprise spatial position and other information are constructed respectively; the pollution source statistical data of the administrative scale is converted into grid scale data, and the watershed boundary is taken as the clipping condition to realize the accurate mapping of the administrative area data to the watershed spatial unit, laying a spatial foundation for subsequent high-resolution emission calculation.

[0064] Among them, the above step S402 comprises: Step S4021, constructing a grid of the target watershed, and superimposing the grid of the target watershed on a spatial layer to obtain a basic spatial grid.

[0065] Specifically, a unified grid system with a resolution of 1km x 1km is used as the grid of the target watershed, and the grid of the target watershed is superimposed on spatial layers such as land use, population density, industrial enterprise location, etc. to form a grid basic information table, which stores the basic spatial grid.

[0066] Step S4022, using pollution source spatial carrier mapping rules, mapping the multi-scale pollution source basic data to the basic spatial grid to obtain the grid-mapped data of each type of pollution source.

[0067] Specifically, according to the characteristics of pollution source activities, the following mapping methods are used: life source: population density grid; farmland source: cultivated land grid; breeding source: rural settlement surrounding grid or breeding farm point grid; industrial source: enterprise grid; urban runoff source: impervious surface grid or urban grid; atmospheric deposition source: water body grid and land grid are mapped according to area ratio; soil erosion source: grid based on slope and soil type.

[0068] ​Further, the county-level administrative boundary is superimposed with the rasterized land use data to obtain the spatial distribution of various types of land use in the county; then, for the rural life source, the statistical data related to rural population is mapped to the corresponding population grid according to the spatial distribution of rural population; for the agricultural soil source, the agricultural input data such as fertilizer application amount and organic fertilizer application amount are spatially distributed according to the cultivated land grid; for the livestock and poultry breeding source, the livestock and poultry stock and the number of livestock and poultry are mapped to the corresponding grid according to the breeding site or breeding administrative unit; for the industrial source and sewage treatment plant source, the emission intensity is projected to the corresponding grid according to the geographic coordinates of the enterprise or discharge port; for the urban non-point source, the urban runoff related indicators are mapped to the urban construction grid according to the spatial distribution of impervious surface or construction land; for the aquaculture source, the aquaculture yield or aquaculture water area is mapped to the river, lake and other water body grid.

[0069] wherein, for a parameter in a certain administrative region , the value of the parameter in the grid can be expressed as: (1) In the above formula, is the spatial weight relied on by the pollution source, such as cultivated land area, per capita population, impervious area, etc.

[0070] Step S4023, obtaining the basin boundary of the target basin, superimposing and clipping the grid-mapped pollution source data of various types and the basin boundary to obtain the grid-mapped spatial distribution data of various pollution sources within the range of the target basin.

[0071] Specifically, the grid-mapped pollution source data of various types is superimposed and clipped with the basin boundary to obtain the grid-mapped spatial distribution of various pollution sources within the range of the basin, that is, all grid data (i.e. the grid-mapped pollution source data of various types) are superimposed with the basin boundary, and the grid set falling within the range of the basin is retained; wherein, the basin boundary is obtained through the vector diagram of the target basin boundary.

[0072] Step S403, calculating the multi-source pollution emission data based on the grid-mapped spatial distribution data of various pollution sources within the range of the target basin. For details, please refer to step S303 of the embodiment shown in Figure 3 , which will not be repeated here.

[0073] Step S404, superimposing the multi-source pollution emission data on the basin grid scale to construct the high-resolution pollution source emission inventory of the basin. For details, please refer to step S304 of the embodiment shown in Figure 3 , which will not be repeated here.

[0074] ​The embodiment provides a multi-scale coupled watershed high-resolution pollution source emission inventory construction method, which converts multi-scale pollution source basic data of an administrative scale into grid scale data, realizes accurate mapping of administrative region data to a watershed spatial unit, and independently converts each type of pollution source to the grid scale and clips to the watershed boundary, realizes spatial positioning of each source, and lays a spatial foundation for subsequent high-resolution emission calculation.

[0075] In the embodiment, a multi-scale coupled watershed high-resolution pollution source emission inventory construction method is provided, which can be used for the terminal device, Figure 5 is a flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to the embodiment of the application, as Figure 5 shown, the flowchart comprises the following steps: In step S501, multi-scale administrative division statistical data is acquired, and the multi-scale administrative division statistical data is preprocessed to obtain multi-scale pollution source basic data. For details, refer to step S401 in the embodiment shown in Figure 4 , which will not be repeated here.

[0076] In step S502, the multi-scale pollution source basic data is spatially converted into grid spatial distribution data of each pollution source in the target watershed range by using a spatial mapping relationship between an administrative scale and a grid watershed scale. For details, refer to step S402 in the embodiment shown in Figure 4 , which will not be repeated here.

[0077] In step S503, multi-source pollution emission data is calculated based on the grid spatial distribution data of each pollution source in the target watershed range.

[0078] Specifically, a multi-type pollution source emission calculation model is constructed based on the grid scale: independent emission calculation models are respectively constructed according to emission characteristics of different pollution sources: a living source is modeled based on population scale, sanitation facility type and emission factor; a farmland source is modeled based on nitrogen and phosphorus input and output processes; a livestock and poultry breeding source is modeled based on breeding scale, emission coefficient and manure utilization rate; an industrial source is modeled based on enterprise emission and emission concentration; a city source is modeled based on surface runoff coefficient and concentration; a soil erosion source is modeled based on erosion intensity; an atmospheric deposition source is modeled based on deposition flux; and an aquaculture source is modeled based on feeding amount or unit breeding intensity. Through the independent source item model, the pollution emission intensity of each grid unit is calculated, and the fine distribution of nutrients such as nitrogen and phosphorus in the watershed is obtained.

[0079] The above step S503 comprises: In step S5031, each pollution source emission calculation model is constructed.

[0080] Specifically, the emission calculation models for each pollution source include: rural domestic sewage nutrient emission model, free-range livestock and poultry nutrient emission model, farmland nitrogen and phosphorus emission model, urban non-point source nutrient emission model, soil erosion source nutrient emission model, atmospheric deposition nutrient emission model, industrial source emission model, and freshwater aquaculture emission model.

[0081] Furthermore, at the watershed grid scale, corresponding emission calculation models or emission factors are selected for rural domestic sources, agricultural soil sources, livestock and poultry breeding sources, industrial sources, urban non-point sources, sewage treatment plant sources, atmospheric deposition sources, and aquaculture sources, and then emission calculation models for each pollution source are constructed; the emission calculation models for each pollution source include one or more of the following: emission factor model, empirical statistical model, and process-driven model.

[0082] Furthermore, the nutrient discharge model for rural domestic sewage adopts the emission factor method. The calculation process considers whether there are flush toilets in rural areas and the reuse of excrement. The expression for the nutrient discharge model for rural domestic sewage is as follows: (2) In the above formula, This refers to the amount of nutrients discharged from rural domestic sewage. For grid The number of rural residents, The percentage of the population using flush toilets, Nutrient emissions per unit of population with flush toilet facilities (kg / person·year). Emissions per unit of population in non-flush toilet facilities (kg / person·year). To improve the utilization rate of manure in agriculture.

[0083] Furthermore, the calculation of nutrient emissions from livestock and poultry farming takes into account relevant parameters such as the number of days of livestock and poultry feeding and the resource utilization rate of livestock and poultry manure. The expression for the nutrient emission model of free-range livestock and poultry is as follows: (3) In the above formula, Nutrient emissions from livestock and poultry farming For grid Inside The number of free-range livestock and poultry for The average number of feeding days per year for free-range livestock and poultry. The daily emission intensity per unit of livestock and poultry (kg / head·day). for The resource utilization rate of manure from free-range livestock and poultry.

[0084] Furthermore, nutrient emissions from farmland are divided into nitrogen emissions and phosphorus emissions. Due to the significant differences in their sources, these two are calculated separately. The expression for the nitrogen and phosphorus emission model from farmland is as follows: (4) (5) In the above formula, For nitrogen emissions, For nitrogen input for fertilizer, The amount of nitrogen returned to the field from livestock / human manure. For atmospheric nitrogen deposition, For biological nitrogen fixation, For crop nitrogen output during harvest, Loss due to ammonia volatilization The field fate coefficient of residual nitrogen. For phosphorus emissions, For phosphorus input in fertilizers, Phosphorus input in feces, Phosphorus output from crop harvest.

[0085] Furthermore, the expression for the urban nonpoint source nutrient emission model is as follows: (6) In the above formula, This refers to non-point source nutrient emissions in cities. The annual average concentration of nutrients in runoff (mg / L). For grid Surface runoff ( ), This represents the urban runoff generation coefficient.

[0086] Grid Surface runoff The calculation formula is as follows: (7) In the above formula, For precipitation, For grid area ( ), The impermeability is the percentage of water that can be poured.

[0087] Furthermore, the expression for the soil erosion source nutrient emission model is as follows: (8) (9) In the above formula, Soil erosion As the erosivity factor of rainfall, Soil erodibility, For slope length and slope factor, For land cover factors, For water conservation measures, This refers to the amount of nutrients carried out by erosion (i.e., the amount of nutrients discharged from soil erosion sources). This refers to the nitrogen and phosphorus content in the soil.

[0088] Furthermore, the expression for the atmospheric deposition nutrient emission model is shown below: (10) In the above formula, This refers to the amount of nutrients emitted through atmospheric deposition. Atmospheric nutrient deposition flux per unit area ( ).

[0089] Furthermore, the expression for the industrial source emission model is as follows: (11) In the above formula, Represents a grid Industrial emissions, For the first Wastewater discharge from domestic industrial enterprises ( ), Concentration (mg / L); This refers to the grid where the enterprise is located.

[0090] Furthermore, the expression for the freshwater aquaculture discharge model is as follows: (12) In the above formula, This indicates the amount of wastewater discharged from freshwater aquaculture. For grid No. Production of aquatic products The nutrient emission coefficient per unit output.

[0091] Step S5032: Input the gridded spatial distribution data of each pollution source within the target watershed into the emission calculation model of each pollution source to obtain the emission raster layer of each type of pollution source at the watershed grid scale.

[0092] Specifically, based on the activity intensity, emission coefficient, process parameters, and auxiliary information such as land use and meteorology within the grid, the emissions of pollutants such as nitrogen and phosphorus in each grid are calculated.

[0093] Furthermore, a separate source-based independent calculation method is used to output the emission raster layers of various pollution sources at the watershed grid scale.

[0094] Step S5033, the data structure corresponding to the grid layer of the emission amount of various pollution sources on the watershed grid scale is uniformly processed to obtain multi-source pollution emission amount data.

[0095] Specifically, the emission amount grid of each type of pollution source is stored in a unified data structure to provide a data basis for subsequent multi-source superposition and analysis.

[0096] Step S504, the multi-source pollution emission amount data is superposed on the watershed grid scale to construct a watershed high-resolution pollution source emission inventory. For details, please refer to Figure 4 The step S404 of the embodiment shown in the figure will not be repeated here.

[0097] The multi-scale coupled watershed high-resolution pollution source emission inventory construction method provided in this embodiment is based on grid scale to construct a pollution source emission amount calculation model, and then uses the pollution source emission amount calculation model to calculate the pollution emission intensity of each grid unit, and obtains the fine distribution of nutrients such as nitrogen and phosphorus in the watershed. The emission amount calculation is strictly based on the data of the watershed grid scale, which guarantees the hydrological consistency and spatial precision of the emission result from the source.

[0098] A multi-scale coupled watershed high-resolution pollution source emission inventory construction method is provided in this embodiment, which can be used for the terminal device, Figure 6 is a flowchart of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to an embodiment of the present application, as shown in the figure, the flowchart includes the following steps: Figure 6 Step S601, obtain multi-scale administrative division statistical data, pre-process the multi-scale administrative division statistical data, and obtain multi-scale pollution source basic data. For details, please refer to Figure 5 The step S501 of the embodiment shown in the figure will not be repeated here.

[0099] Step S602, using the spatial mapping relationship between the administrative scale and the grid watershed scale, the multi-scale pollution source basic data is spatially converted into the grid spatial distribution data of each pollution source in the target watershed range. For details, please refer to Figure 5 The step S502 of the embodiment shown in the figure will not be repeated here.

[0100] Step S603, based on the grid spatial distribution data of each pollution source in the target watershed range, the multi-source pollution emission amount data is calculated. For details, please refer to Figure 5 The step S503 of the embodiment shown in the figure will not be repeated here.

[0101] Step S604, the multi-source pollution emission amount data is superposed on the watershed grid scale to construct a watershed high-resolution pollution source emission inventory.

[0102] ​Specifically, the multi-pollution source emission data is superimposed to construct a high-resolution emission inventory of a basin: the emission amounts of all pollution sources at a grid scale are superimposed to form a nitrogen and phosphorus emission pattern at a basin scale of 1 km x 1 km or other resolutions; the data is subjected to consistency checking, anomaly checking and necessary bias correction; and finally, a high-resolution pollution source emission inventory of the basin is output, providing high-quality input data for subsequent water environment simulation.

[0103] The step S604 comprises: In step S6041, the multi-source pollution emission data is superimposed grid by grid according to the grid index to obtain the total emission amount spatial distribution of each type of pollutant in the target basin range.

[0104] Specifically, the grids corresponding to the emission amounts of each type of pollution source are superimposed grid by grid according to the grid index to obtain the total emission amount spatial distribution of nitrogen, phosphorus and other pollutants in the basin range.

[0105] Further, the grid index is the grid number corresponding to the emission amount of each type of pollution source. For different types of pollution sources, the grid in the target basin is determined, and then the data in the grid is superimposed.

[0106] Further, the total emission amount in the basin is : (13) In step S6042, the total emission amount spatial distribution of each type of pollutant in the target basin range is subjected to consistency checking, and the bias correction is performed based on the consistency checking result to obtain the high-resolution pollution source emission inventory of the basin.

[0107] Specifically, the consistency of the superimposed emission amount result is checked, including the bias checking with the administrative scale statistical total amount and the comparison checking with the typical regional monitoring or investigation data.

[0108] Further, if the bias exceeds a preset threshold (for example, 20%), the spatial distribution coefficient or the emission coefficient of part of the source types is adjusted for iterative correction until the consistency requirement is met; and the corrected emission amount result is output at 1 km x 1 km or a preset resolution as the high-resolution pollution source emission inventory of the basin.

[0109] The multi-scale coupled high-resolution pollution source emission inventory construction method provided in this embodiment superimposes the multi-source pollution emission data grid by grid according to the grid index, accurately calculates the total emission amount of each type of pollutant at the basin grid scale, and then obtains the high-resolution pollution source emission inventory of the basin by consistency checking and bias correction of the total emission amount spatial distribution of each type of pollutant in the target basin range, accurately depicts the spatial difference of pollution emission in the basin, and provides high-quality input data for subsequent water environment simulation.

[0110] The specific steps of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method are illustrated below through a specific embodiment.

[0111] Embodiment 1: As Figure 7 indicated, the specific steps of a multi-scale coupled watershed high-resolution pollution source emission inventory construction method include: S1, collection and preprocessing of multi-scale administrative division statistical data.

[0112] Multi-level administrative statistical data are obtained, including population, industrial structure, agricultural yield, livestock and poultry breeding scale, land use, industrial emission, sewage treatment capacity and other indicators; the data of different statistical scales are unified in format, matched in coding and calibrated in space and time, to construct a multi-scale pollution source basic database. This step realizes the cross-scale integration of administrative statistical data, and establishes bottom data support for subsequent spatial transformation of pollution sources.

[0113] S2, spatial mapping relationship from administrative scale to watershed scale is constructed for different sources.

[0114] According to the spatial attributes and boundary ranges of different pollution sources, mapping rules of administrative division-grid-watershed are established for multiple types of pollution sources such as rural domestic source, livestock and poultry breeding source, agricultural soil source, urban non-point source, soil erosion source, atmospheric deposition source, sewage treatment plant source, industrial source and aquaculture source. Different source items adopt differentiated mapping strategies, such as rural domestic source is spatially distributed according to the grid of resident population; agricultural soil source is mapped according to the spatial distribution of cultivated land; industrial source is projected according to the coordinates or boundary of industrial park; aquaculture source is directly projected to water grid; atmospheric deposition is coupled with water area according to deposition flux rules. Through this step, each type of pollution source is independently converted to grid scale and clipped to the watershed boundary, realizing spatial positioning of each source.

[0115] S3, data-driven pollution source emission calculation based on watershed grid scale.

[0116] After completing the spatial transformation of administrative division to watershed, the emission calculation of each pollution source is carried out on the watershed grid scale, including rural domestic source emission model, livestock and poultry emission model, farmland nitrogen and phosphorus budget model, RUSLE erosion model, atmospheric deposition model, urban runoff model, industrial wastewater discharge model, etc. The emission calculation is strictly based on the data of watershed grid scale, which guarantees the hydrological consistency and spatial precision of the emission results from the source.

[0117] S4, grid-level integration of multi-source pollution emission and construction of watershed high-resolution inventory.

[0118] The emission amounts of various source items on the river basin grid are superimposed according to the pollutant categories (such as nitrogen and phosphorus) to form a unified 1km*1km grid emission inventory; at the same time, the grid results are subjected to necessary data fusion, deviation correction and consistency check to obtain the spatial distribution of multi-source pollution emission at the basin scale. This step realizes the comprehensive integration of multi-source, multi-scale and multi-model.

[0119] In the above embodiment 1, the following advantages are achieved: 1) The cross-level data consistency between administrative scale and basin scale is realized, which can effectively solve the problem of spatial mismatch of emission inventory.

[0120] 2) A multi-pollution source independent modeling system is constructed, covering life source, agricultural source, industrial source, urban source, erosion source, atmospheric source and breeding source, etc., to ensure the comprehensiveness and scientificity of emission estimation.

[0121] 3) Through the spatial mapping method of administrative-grid-basin, a high-resolution emission inventory can be generated to accurately depict the spatial difference of pollution emission within the basin.

[0122] 4) It can accurately and effectively identify high-emission areas and their driving factors, and enhance the pertinence of pollution control measures.

[0123] 5) It has good universality and scalability, and can be applied to different regions and basins of different scales, providing strong data support for water quality simulation, basin management and policy evaluation.

[0124] In this embodiment, a multi-scale coupled basin high-resolution pollution source emission inventory construction device is also provided, which is used to realize the above embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and contemplated.

[0125] The present embodiment provides a multi-scale coupled basin high-resolution pollution source emission inventory construction device, as shown in Figure 8 , comprising: A preprocessing module 801 is configured to obtain multi-scale administrative division statistical data, preprocess the multi-scale administrative division statistical data, and obtain multi-scale pollution source basic data. A conversion module 802 is configured to use the spatial mapping relationship between the administrative scale and the grid basin scale to spatially convert the multi-scale pollution source basic data into grid spatial distribution data of each pollution source within the target basin range. A calculation module 803 is configured to calculate multi-source pollution emission data based on the grid spatial distribution data of each pollution source within the target basin range. The construction module 804 is configured to superimpose the multi-source pollution emission data at the basin grid scale to construct a high-resolution pollution source emission inventory of the basin.

[0126] In some optional embodiments, the preprocessing module 801 comprises: a processing unit configured to perform format unification processing, unit conversion processing, missing value processing, and abnormal value identification processing on the multi-scale administrative division statistical data to obtain processed multi-scale administrative division statistical data; a correlation alignment unit configured to perform hierarchical correlation and time alignment on the processed multi-scale administrative division statistical data to obtain multi-scale pollution source basic data.

[0127] In some optional embodiments, the conversion module 802 comprises: a first superimposition unit configured to construct a grid of the target basin and superimpose the grid of the target basin with a spatial layer to obtain a basic spatial grid; a mapping unit configured to map the multi-scale pollution source basic data to the basic spatial grid by using a pollution source spatial carrier mapping rule to obtain grid-mapped pollution source data of each type; a clipping unit configured to obtain a basin boundary of the target basin, superimpose and clip the grid-mapped pollution source data of each type with the basin boundary to obtain gridized spatial distribution data of each pollution source within the range of the target basin.

[0128] In some optional embodiments, the calculation module 803 comprises: a construction unit configured to construct a pollution source emission calculation model of each type; a calculation unit configured to input the gridized spatial distribution data of each pollution source within the range of the target basin into the pollution source emission calculation model of each type to obtain an emission amount raster layer of each type of pollution source at the basin grid scale; a unification unit configured to perform unification processing on data structures corresponding to the emission amount raster layers of each type of pollution source at the basin grid scale to obtain multi-source pollution emission data.

[0129] In some optional embodiments, the pollution source emission calculation model of each type in the construction unit comprises a rural domestic sewage nutrient salt emission model, a free-range livestock and poultry nutrient salt emission model, a farmland nitrogen and phosphorus emission model, a city non-point source nutrient salt emission model, a soil erosion source nutrient salt emission model, an atmospheric deposition nutrient salt emission model, an industrial source emission model, and a freshwater aquaculture emission model.

[0130] In some optional embodiments, the construction module 804 comprises: The second superposition unit is configured to superimpose the multi-source pollution emission data grid by grid according to the grid index to obtain the total emission amount spatial distribution of various pollutants in the target basin range. The checking unit is configured to perform consistency checking on the total emission amount spatial distribution of various pollutants in the target basin range, and perform bias correction based on the consistency checking result to obtain the basin high-resolution pollution source emission inventory.

[0131] The multi-scale coupled basin high-resolution pollution source emission inventory construction device provided by the embodiment of the present application can perform the multi-scale coupled basin high-resolution pollution source emission inventory construction method provided by any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method. The further function description of each module and unit is the same as that of the corresponding embodiment, and will not be repeated here.

[0132] Figure 9 A structural schematic diagram of an electronic device is provided for the embodiment of the present application.

[0133] The following will be specifically referred to Figure 9 which shows a structural schematic diagram of an electronic device suitable for being used to implement the electronic device in the embodiment of the present application. The electronic device can include a processor (such as a central processor, a graphics processor, etc.) 901, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 902 or programs loaded from a storage 908 into a random access memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the electronic device are also stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. An input / output (I / O) interface 905 is also connected to the bus 904.

[0134] Generally, the following devices can be connected to the I / O interface 905: an input device 906 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 907 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage 908 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 909. The communication device 909 can allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although Figure 9 The electronic device with various devices is shown, but it should be understood that it is not required to implement or have all the shown devices, and more or less devices can be alternatively implemented or had.

[0135] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for carrying out the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication device 909, or installed from the memory 908, or installed from the ROM 902. When the computer program is executed by the processor 901, the above-mentioned functions defined in a multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to embodiments of the present application are performed.

[0136] Figure 9 The electronic device shown is merely an example and should not impose any limitation on the functions and use range of embodiments of the present application.

[0137] Embodiments of the present application also provide a computer-readable storage medium, the above-mentioned method according to embodiments of the present application can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented by downloading and originally storing in a remote storage medium or non-transitory machine-readable storage medium and then storing in a local storage medium, so that the method described herein can be processed by such software on a storage medium using a general-purpose computer, a special-purpose processor, or programmable or special-purpose hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk or a solid state disk, etc.; further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that the computer, processor, microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code, which, when accessed and executed by the computer, processor or hardware, implements the above-mentioned multi-scale coupled watershed high-resolution pollution source emission inventory construction method.

[0138] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, through the operation of the computer, the method and / or technical solutions according to the present application can be invoked or provided. Those skilled in the art should understand that the form of computer program instructions in computer-readable medium includes but is not limited to source file, executable file, installation package file, etc., and accordingly, the way of computer program instructions executed by computer includes but is not limited to: the computer directly executes the instructions, or the computer executes the corresponding compiled program after compiling the instructions, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to the computer.

[0139] While embodiments of the present application have been described in conjunction with the appended drawings, various modifications and changes can be suggested by persons skilled in the art, and all such modifications and changes are believed to fall within the scope of the present application as defined by the appended claims.

Claims

1. A method for constructing a high-resolution pollution source emission inventory of a watershed using a multi-scale coupled approach, characterized in that, The method includes: Obtain multi-scale administrative division statistical data, preprocess the multi-scale administrative division statistical data, and obtain multi-scale pollution source basic data; By utilizing the spatial mapping relationship between administrative scale and grid watershed scale, the basic data of the multi-scale pollution sources are spatially converted into gridded spatial distribution data of each pollution source within the target watershed. The multi-source pollution emission data are calculated based on the gridded spatial distribution data of each pollution source within the target watershed. The multi-source pollution emission data are overlaid on the watershed grid scale to construct a high-resolution pollution source emission inventory for the watershed.

2. The method according to claim 1, characterized in that, The preprocessing of the multi-scale administrative division statistical data to obtain multi-scale pollution source basic data includes: The multi-scale administrative division statistical data is processed by format unification, unit conversion, missing value handling and outlier identification to obtain the processed multi-scale administrative division statistical data. The processed multi-scale administrative division statistical data is hierarchically correlated and time-aligned to obtain the basic data of multi-scale pollution sources.

3. The method according to claim 1, characterized in that, The method of utilizing the spatial mapping relationship between administrative scale and grid-based watershed scale to transform the multi-scale pollution source basic data into gridded spatial distribution data of each pollution source within the target watershed includes: Construct a grid for the target watershed and overlay the grid of the target watershed with a spatial layer to obtain a basic spatial grid; By using the pollution source spatial carrier mapping rules, the multi-scale pollution source basic data is mapped to the basic spatial grid to obtain various pollution source data after grid mapping; Obtain the watershed boundary of the target watershed, and overlay and crop the various pollution source data mapped by the grid with the watershed boundary to obtain the gridded spatial distribution data of each pollution source within the target watershed.

4. The method according to claim 1, characterized in that, The calculation of multi-source pollution emission data based on the gridded spatial distribution data of each pollution source within the target watershed includes: Construct calculation models for emissions from various pollution sources; The gridded spatial distribution data of each pollution source within the target watershed are input into the emission calculation model of each pollution source to obtain the emission raster layer of each type of pollution source at the watershed grid scale. The data structure corresponding to the emission raster layer of the various pollution sources at the watershed grid scale is unified to obtain the multi-source pollution emission data.

5. The method according to claim 4, characterized in that, The emission calculation models for each pollution source include: rural domestic sewage nutrient emission model, free-range livestock and poultry nutrient emission model, farmland nitrogen and phosphorus emission model, urban non-point source nutrient emission model, soil erosion source nutrient emission model, atmospheric deposition nutrient emission model, industrial source emission model, and freshwater aquaculture emission model.

6. The method according to claim 1, characterized in that, The process of overlaying the multi-source pollution emission data at the watershed grid scale to construct a high-resolution pollution source emission inventory for the watershed includes: The multi-source pollution emission data are overlaid grid by grid according to the raster index to obtain the spatial distribution of the total emission of various pollutants within the target watershed. A consistency verification is performed on the spatial distribution of total emissions of various pollutants within the target watershed, and deviation correction is performed based on the consistency verification results to obtain a high-resolution pollution source emission inventory for the watershed.

7. A multi-scale coupled watershed high-resolution pollution source emission inventory construction device, characterized in that, The device includes: The preprocessing module is used to acquire multi-scale administrative division statistical data, preprocess the multi-scale administrative division statistical data, and obtain multi-scale pollution source basic data. The conversion module is used to convert the multi-scale pollution source basic data into gridded spatial distribution data of each pollution source within the target watershed by utilizing the spatial mapping relationship between administrative scale and grid watershed scale. The calculation module is used to calculate multi-source pollution emission data based on the gridded spatial distribution data of each pollution source within the target watershed area; A construction module is used to overlay the multi-source pollution emission data at the watershed grid scale to construct a high-resolution pollution source emission inventory for the watershed.

8. An electronic device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the multi-scale coupled watershed high-resolution pollution source emission inventory construction 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 instructions for causing the computer to execute the multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes computer instructions for causing a computer to execute the multi-scale coupled watershed high-resolution pollution source emission inventory construction method according to any one of claims 1 to 6.

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