Hydrological environment risk assessment method and system based on multi-source data fusion

Abstract

The application provides a hydrological environment risk assessment method and system based on multi-source data fusion, relates to the technical field of environment risk assessment, and obtains crop environment influence information, crop anti-environment influence information and natural environment influence information, analyzes crop anti-environment influence characteristic values, crop environment influence characteristic values and environment risk characteristic values of each supervision region, and thus assesses planting environment risks, environment risks and affected environment risks of each supervision region.The application develops a risk assessment method for the planting environment of crops according to the environment characteristics of the planting area of crops, realizes accurate classification of environment risk types and accurate matching of corresponding measures, is more accurate, detailed and perfect in the assessment of environment risks, is convenient for subsequent analysis of the regulation of environment risks, and makes up for the defects of the prior art.

Description

Technical Field

[0001] This invention relates to the field of environmental risk assessment technology, specifically to a hydrological environmental risk assessment method and system based on multi-source data fusion. Background Technology

[0002] Environmental risk assessment is a core means of balancing human activities, such as agricultural planting and industrial production, with ecological environmental protection and short-term development needs and long-term sustainability. Its essence is to identify potential threats and quantify the degree of risk through scientific analysis, thereby providing a basis for precise prevention and control, optimal allocation of resources and decision-making, and ultimately avoiding or reducing environmental damage and protecting human health and ecological security. Therefore, this application proposes a hydrological environmental risk assessment method and system based on multi-source data fusion.

[0003] Existing technology, such as the invention application patent with publication number CN118708945B, discloses an automatic monitoring method and system for hydrological data. The method includes the following steps: acquiring geographic environmental survey data; dividing the geographic environmental survey data into regions to generate monitoring region division data, wherein the monitoring region division data includes key monitoring region data and routine monitoring region data; constructing a monitoring station network using the monitoring region division data to generate a hydrological monitoring station network; using the key monitoring region data and routine monitoring region data to perform multi-level monitoring data acquisition and adjustment on the hydrological monitoring station network, thereby generating hydrological acquisition data for the monitoring stations; and performing spatiotemporal interpolation on the hydrological acquisition data for the monitoring stations and the geographic environmental survey data to generate spatiotemporal interpolated hydrological data for the stations.

[0004] Existing technology, such as the invention application patent with publication number CN118136109B, discloses a method and system for detecting heavy metal pollution in crop soil. The method includes the following steps: collecting samples from farmland, including soil around crop roots and rhizosphere microbial communities; extracting microbial DNA from the collected samples using molecular biology techniques; sequencing the microbial DNA using high-throughput sequencing technology to obtain the composition information of the microbial community; analyzing the microbial symbiotic network using computer simulation methods to identify microbial populations and symbiotic relationships related to heavy metal pollution; establishing a heavy metal pollution detection model based on the analysis results of the microbial symbiotic network, and assessing and detecting heavy metal pollution in crop soil. This method and system for detecting heavy metal pollution in crop soil provides rapid and accurate detection of heavy metal pollution in crop soil and can be widely used in agricultural production to improve soil health and agricultural product quality.

[0005] The above-mentioned solutions have the following technical problems: Current technologies only focus on the impact of the planting environment on crop growth when analyzing environmental risks, without considering the impact of crop growth on the environment, and then the closed-loop process of environmental impact caused by natural environmental changes. Therefore, it is difficult to make accurate risk assessments of the environment, let alone make reasonable responses to the sources of environmental risks. Therefore, it is necessary to propose a risk assessment method for crop planting environment. Summary of the Invention

[0006] This application provides a hydrological environmental risk assessment method and system based on multi-source data fusion to solve the problems in the background art.

[0007] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.

[0008] According to a first aspect of the embodiments of this application, a hydrological environmental risk assessment method based on multi-source data fusion is provided, including: The target area is divided into regulated areas and non-regulated areas, and the regulated areas are further divided into key regulated areas and non-key regulated areas; the environmental impact information of the first crop in each non-key regulated area, the environmental impact information of the crop resistance to environmental impact, the environmental impact information of the second crop, and the natural environmental impact information are obtained in each key regulated area; Based on the first crop environmental impact information, the crop growth in each non-key monitoring area is analyzed to determine whether to update the non-key monitoring area to a key monitoring area. Based on the information on crop environmental impact resistance, secondary crop environmental impact, and natural environmental impact in each key regulatory area, we analyzed and obtained the characteristic values ​​of crop environmental impact resistance, crop environmental impact, and environmental risk, and analyzed the environmental risk situation in each key regulatory area. Based on the analysis results of environmental risk conditions in each key regulatory area, corresponding environmental risk adjustments will be implemented.

[0009] According to one embodiment of this application, the step of dividing the target area into a regulated area and a non-regulated area, and further dividing the regulated area into a key regulated area and a non-key regulated area, specifically includes: The target area is initially divided according to its purpose. Areas used for crop cultivation are designated as regulated areas, and areas not used for crop cultivation are designated as non-regulated areas. For each regulatory region, the crop harvest index and yield per unit area for each historical planting cycle are obtained from the data center. The crop harvest index and yield per unit area for each historical planting cycle of each regulatory region are compared with the corresponding optimal crop harvest index and optimal yield per unit area. Then, each regulatory region whose crop harvest index is greater than or equal to the corresponding optimal crop harvest index and yield per unit area for each historical planting cycle is recorded as a non-key regulatory region; otherwise, it is recorded as a key regulatory region.

[0010] According to one embodiment of this application, the first crop environmental impact information and the second crop environmental impact information both represent the impact information of crops on the growth environment at each growth stage; the crop resistance to environmental impact information represents the ability of crops to adapt to crop environmental impact information and natural environmental impact information at each growth stage; the natural environmental impact information represents the impact information on the growth environment of crops at each growth stage other than crop environmental impact information.

[0011] According to one embodiment of this application, the step of analyzing the crop growth status of each non-key monitoring area based on the first crop environmental impact information to determine whether to update the non-key monitoring area to a key monitoring area specifically includes: The environmental impact information of the first crop at each growth stage in each historical planting cycle of each non-key monitoring area is averaged to obtain the standard environmental impact information of the first crop at each growth stage in each non-key monitoring area. Then, the ratio of the environmental impact information of the first crop at each growth stage in each non-key monitoring area in the current planting cycle to the standard environmental impact information of the corresponding growth stage in the corresponding non-key monitoring area is recorded as the fluctuation value of the environmental impact information of the first crop at each growth stage in each non-key monitoring area. When the fluctuation value of the environmental impact information of the first crop at each growth stage in a non-key monitoring area is within the preset standard fluctuation range, the growth stages of crops in each non-key monitoring area are continuously monitored; when the fluctuation value of the environmental impact information of the first crop at each growth stage in a non-key monitoring area is not within the standard fluctuation range, the non-key monitoring area is updated to a key monitoring area.

[0012] According to one embodiment of this application, the process for determining the environmental impact resistance characteristic value of crops includes: Field control trials were conducted on crops at various growth stages in key monitored areas. The field control trials included several risk stress groups and a normal control group. Each risk stress group was controlled for a single environmental information variable, while the environmental information of the normal control group was controlled according to standard environmental information. Core indicators corresponding to the environmental risk resistance information of crops in each risk stress group and the normal control group were collected after each growth period. After normalizing the core indicators of crops, the weights of each core indicator corresponding to each growth stage of crops in each key monitoring area are determined using the analytic hierarchy process. Finally, the core indicators and their weights corresponding to the environmental risk resistance information of crops in each key monitoring area at each growth stage are weighted and summed to obtain the environmental risk resistance characteristic values ​​of crops in each key monitoring area.

[0013] According to one embodiment of this application, the process for determining the environmental impact characteristic value of crops includes: The weights of the environmental impact information of the second crop at each growth stage in each key regulatory area were determined by the analytic hierarchy process. The environmental impact information of the second crop at each growth stage in each key regulatory area was then normalized. Finally, the characteristic values ​​of the environmental impact of the crop at each growth stage in each key regulatory area were obtained by weighted summation.

[0014] According to one embodiment of this application, the process for determining the environmental risk characteristic value includes: The environmental impact information and natural environmental impact information of the second crop at each growth stage in each key regulatory area are normalized. The weights of the environmental impact information and natural environmental impact information of the second crop at each growth stage in each key regulatory area are determined by the analytic hierarchy process. Finally, the environmental risk characteristic value of each growth stage in each key regulatory area is obtained by weighted summation.

[0015] According to one embodiment of this application, the analysis of environmental risks in key regulatory areas specifically includes: The environmental risk characteristic value of each growth stage in each key regulatory area is compared with the environmental resistance characteristic value of the corresponding crop at the same growth stage in each key regulatory area. If the ratio of the environmental risk characteristic value of a certain growth stage in a key regulatory area to the corresponding environmental resistance characteristic value of the crop is greater than 1, then the key regulatory area is recorded as a planting environmental risk area. The environmental risk characteristic values ​​of each key regulatory area are compared with the set environmental risk characteristic thresholds. If the ratio of the environmental risk characteristic value of a key regulatory area to the set environmental risk characteristic threshold is greater than 1, then the key regulatory area is recorded as an environmental risk area. The environmental impact characteristic values ​​of crops at each growth stage in each key regulatory area are compared with the set environmental impact threshold values ​​of crops at each growth stage. If the ratio of the environmental impact characteristic value of crops at a certain growth stage in a key regulatory area to the corresponding environmental impact characteristic threshold value of crops is greater than 1, then the key regulatory area is recorded as an affected environmental risk area.

[0016] According to one embodiment of this application, the step of implementing corresponding environmental risk adjustments based on the environmental risk analysis results of each key regulatory area specifically includes: Adjust the planting environment risk areas according to the standard planting environment at the current growth stage of the crops; Adjustments were made to each environmental risk area in accordance with standard environmental quality information; Adjustments were made to each affected environmental risk area in accordance with green planting standards.

[0017] According to a second aspect of the embodiments of this application, a hydrological environmental risk assessment system based on multi-source data fusion is provided, used to execute the hydrological environmental risk assessment method based on multi-source data fusion described in the first aspect, including: The information acquisition module is used to divide the target area into regulated areas and non-regulated areas, and further divide the regulated areas into key regulated areas and non-key regulated areas; it acquires the first crop environmental impact information, the crop resistance to environmental impact information, the second crop environmental impact information, and the natural environment impact information for each non-key regulated area; The environmental risk analysis module is used to analyze the crop growth status in each non-key monitoring area based on the first crop environmental impact information, and determine whether to update the non-key monitoring area to a key monitoring area; and to analyze and obtain the crop environmental impact characteristic value, crop environmental impact characteristic value, and environmental risk characteristic value based on the crop environmental impact resistance information, the second crop environmental impact information, and the natural environmental impact information in each key monitoring area, and to analyze the environmental risk situation in each key monitoring area. The adjustment module is used to implement corresponding environmental risk adjustments based on the analysis results of environmental risk conditions in each key regulatory area.

[0018] Compared with existing technologies, the beneficial effects of adopting the above technical solution are as follows: The beneficial effects of this application are as follows: 1. This invention develops a risk assessment method for crop planting environments based on the environmental characteristics of crop planting areas, thus overcoming the shortcomings of existing technologies.

[0019] 2. This invention makes precise and dynamic divisions of regulatory areas according to their intended use, taking into account both the coverage of risk and environmental control and the efficient use of regulatory resources. Furthermore, it dynamically distinguishes regulatory levels according to historical production capacity, saving regulatory resources while effectively improving regulatory efficiency.

[0020] 3. This invention breaks away from the traditional approach of assessing environmental risk using a single indicator. By linking three types of characteristic values—resistance to environmental impact, crop environmental impact, and environmental risk—it achieves precise classification of environmental risk types and accurate matching of corresponding measures. This makes the assessment of environmental risk more accurate, detailed, and comprehensive, and also facilitates subsequent analysis of environmental risk regulation. Attached Figure Description

[0021] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0022] Figure 1 This is a schematic diagram of the hydrological environmental risk assessment method based on multi-source data fusion proposed in this application.

[0023] Figure 2 This is a schematic diagram of the hydrological environmental risk assessment system based on multi-source data fusion proposed in this application.

[0024] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0025] The embodiments of this application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar modules or modules having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application. Rather, the embodiments of this application include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0026] Please refer to Figure 1 This application proposes a hydrological environmental risk assessment method based on multi-source data fusion, including the following steps: S100. Divide the target area into regulated areas and non-regulated areas, and further divide the regulated areas into key regulated areas and non-key regulated areas; obtain the first crop environmental impact information for each non-key regulated area, the crop resistance to environmental impact information for each key regulated area, the second crop environmental impact information, and the natural environmental impact information.

[0027] In this embodiment, the target area can be a provincial or municipal area, a city, or an economic functional zone, etc., without specific restrictions.

[0028] Furthermore, this embodiment also provides a specific method for dividing the regulatory area: the target area is initially divided according to its purpose, and each area used for crop planting is recorded as a regulatory area, and each area not used for crop planting is recorded as a non-regulatory area.

[0029] For each regulatory region, the crop harvest index and yield per unit area for each historical planting cycle are obtained from the data center. The crop harvest index and yield per unit area for each historical planting cycle of each regulatory region are compared with the corresponding optimal crop harvest index and optimal yield per unit area. Then, each regulatory region whose crop harvest index is greater than or equal to the corresponding optimal crop harvest index and yield per unit area for each historical planting cycle is recorded as a non-key regulatory region; otherwise, it is recorded as a key regulatory region.

[0030] It should be noted that the types of crops and planting methods are the same in each planting cycle within the same regulatory area.

[0031] It should be added that when dividing key and non-key regulatory areas, the optimal harvest index and optimal yield per unit area are set by relevant staff based on the type of crop. The higher the optimal harvest index and optimal yield per unit area, the higher the quality requirements for the crop.

[0032] In this embodiment, both the first and second crop environmental impact information represent the impact of crops on the growth environment at each growth stage. The first and second information are used only to indicate whether the region is a non-key or key monitored area. Crop resistance to environmental impact information represents the crop's ability to adapt to both crop environmental impact information and natural environmental impact information at each growth stage. Natural environmental impact information represents the impact on the growth environment at each growth stage of the crop, excluding crop environmental impact information.

[0033] Specifically, information on the environmental impact of crops includes, but is not limited to, the amount of nitrogen, phosphorus, potassium, and other nutrients consumed by crops in the soil during the sowing period, the changes in soil permeability caused by crops at each growth stage, the changes in soil groundwater, and the changes in various gases in the atmosphere; information on the environmental resistance of crops includes, but is not limited to, the temperature and humidity thresholds of crops at each growth stage, the thresholds of their demand for nitrogen, phosphorus, potassium, and other nutrients in the soil, and the thresholds of their demand for various gases in the atmosphere; information on the impact of the natural environment includes, but is not limited to, environmental temperature and humidity, soil permeability, water content, and the content of nitrogen, phosphorus, potassium, and other nutrients in the soil.

[0034] In practical applications, information on crop resistance to environmental impacts is obtained through testing or consulting relevant documents, while information on the impact of the natural environment and the crop environment is collected through relevant sensors. For example, the content of nutrients such as nitrogen, phosphorus, and potassium in the soil is collected using an automatic water sampler, and the soil pH is collected using a soil pH meter. Sensors or collection methods with the same function can be used as substitutes, and no specific restrictions are imposed here.

[0035] It should also be noted that, at a certain growth stage of crops, several control periods are arbitrarily obtained, and the average value of crop environmental impact information, crop resistance to environmental impact information, and natural environmental impact information at each control period is recorded as the crop environmental impact information, crop resistance to environmental impact information, and natural environmental impact information for that growth stage. Based on this, the crop environmental impact information, crop resistance to environmental impact information, and natural environmental impact information for each growth stage can be obtained.

[0036] S200. Analyze the crop growth in each non-key monitoring area based on the first crop environmental impact information to determine whether to update the non-key monitoring area to a key monitoring area; based on the crop resistance to environmental impact information, the second crop environmental impact information, and the natural environment impact information in each key monitoring area, analyze and obtain the crop resistance to environmental impact characteristic value, crop environmental impact characteristic value, and environmental risk characteristic value, and analyze the environmental risk situation in each key monitoring area.

[0037] In this embodiment, the analysis of non-key regulatory areas is primarily to monitor whether these areas have transitioned from non-key to key areas. Specifically, the analysis process includes: The environmental impact information of the first crop at each growth stage in each historical planting cycle of each non-key monitoring area is averaged to obtain the standard environmental impact information of the first crop at each growth stage in each non-key monitoring area. Then, the ratio of the environmental impact information of the first crop at each growth stage in each non-key monitoring area in the current planting cycle to the standard environmental impact information of the corresponding growth stage in the corresponding non-key monitoring area is recorded as the fluctuation value of the environmental impact information of the first crop at each growth stage in each non-key monitoring area. When the fluctuation value of the environmental impact information of the first crop at each growth stage in a non-key monitoring area is within the standard fluctuation range, the growth stages of crops in each non-key monitoring area are continuously monitored; when the fluctuation value of the environmental impact information of the first crop at each growth stage in a non-key monitoring area is not within the standard fluctuation range, the non-key monitoring area is updated to a key monitoring area.

[0038] Furthermore, this embodiment also provides a method for determining the standard fluctuation range: the crop environmental impact information of each non-key monitored area at each growth stage in the current planting cycle is compared with the crop environmental impact information of the corresponding non-key monitored areas at the corresponding growth stages in historical planting cycles. The maximum ratio is recorded as the upper limit of the standard fluctuation range, and the minimum ratio is recorded as the lower limit of the standard fluctuation range. Based on this, the standard fluctuation range of crop environmental impact information at each growth stage in each non-key monitored area is obtained.

[0039] In one specific embodiment, a process for determining the characteristic value of resistance to environmental impact is also provided, which specifically includes: Field control trials were conducted on crops at various growth stages in key monitored areas. The field control trials included several risk stress groups and a normal control group. Each risk stress group was controlled for a single environmental information variable, while the environmental information of the normal control group was controlled according to standard environmental information. Core indicators corresponding to the environmental risk resistance information of crops in each risk stress group and the normal control group were collected after each growth period.

[0040] It should be noted that the standard environmental information refers to the standard growing environment for crops at each growth stage, which can be obtained by consulting relevant documents for the corresponding crops.

[0041] Information on crop resistance to environmental risks mainly includes core indicators corresponding to crops, such as the temperature and humidity thresholds during the germination period, with the corresponding core indicator being seedling survival rate; and the soil nutrient content thresholds during the growth period, with the corresponding core indicator being seed setting rate, etc.

[0042] After normalizing the core indicators of crops, the analytic hierarchy process (AHP) was used to determine the weights of each core indicator for each growth stage of crops in each key monitored area. Finally, a weighted sum was performed on the core indicators and their weights corresponding to the environmental risk resistance information of crops at each growth stage in each key monitored area to obtain the environmental risk resistance characteristic value of crops in each key monitored area. The weighted summation involves multiplying the core indicators corresponding to the environmental risk resistance information of crops at each growth stage in each key monitored area by their respective weights, and then summing the products to obtain the environmental risk resistance characteristic value of crops in each key monitored area.

[0043] In one specific embodiment, the process for determining the environmental impact characteristic values ​​of crops is also provided, specifically including: The weights of environmental impact information for secondary crops at each growth stage in each key monitored area were determined using the analytic hierarchy process (AHP). This information was then normalized, and a weighted summation was performed to calculate the characteristic values ​​of crop environmental impact at each growth stage in each key monitored area. Specifically, the weighted summation involves multiplying each piece of information for secondary crop environmental impact by its corresponding weight and then summing the results to obtain the characteristic values ​​of crop environmental impact at each growth stage in each key monitored area.

[0044] In one specific embodiment, the process for determining environmental risk characteristic values ​​is also provided, specifically including: The environmental impact information and natural environmental impact information of the second crop at each growth stage in each key regulatory area are normalized. The weights of the environmental impact information and natural environmental impact information of the second crop at each growth stage in each key regulatory area are determined by the analytic hierarchy process. Finally, the environmental risk characteristic value of each growth stage in each key regulatory area is obtained by weighted summation.

[0045] Based on the aforementioned determination of the environmental impact resistance characteristic value, environmental impact characteristic value, and environmental risk characteristic value of each crop, the environmental risk situation in each key regulatory area can be analyzed, specifically including: The environmental risk characteristic value of each growth stage in each key regulatory area is compared with the environmental resistance characteristic value of the corresponding crop at the same growth stage in each key regulatory area. If the ratio of the environmental risk characteristic value of a certain growth stage in a key regulatory area to the corresponding environmental resistance characteristic value of the crop is greater than 1, then the key regulatory area is recorded as a planting environmental risk area.

[0046] The environmental risk characteristic values ​​of each key regulatory area are compared with the set environmental risk characteristic thresholds. If the ratio of the environmental risk characteristic value of a key regulatory area to the set environmental risk characteristic threshold is greater than 1, then the key regulatory area is recorded as an environmental risk area.

[0047] The environmental impact characteristic values ​​of crops at each growth stage in each key regulatory area are compared with the set environmental impact threshold values ​​of crops at each growth stage. If the ratio of the environmental impact characteristic value of crops at a certain growth stage in a key regulatory area to the corresponding environmental impact characteristic threshold value of crops is greater than 1, then the key regulatory area is recorded as an affected environmental risk area.

[0048] It should be noted that the environmental risk characteristic thresholds and the environmental impact thresholds for crops at each growth stage are set by the relevant staff themselves, and no specific restrictions are imposed here.

[0049] S300. Implement corresponding environmental risk adjustments based on the analysis results of environmental risk conditions in each key regulatory area.

[0050] In this embodiment, the adjustment process mainly targets certain types of risk areas. Specifically, adjustments are made to each pair of risk areas based on the standard planting environment at the current growth stage of the crops; adjustments are made to each environmental risk area based on standard environmental quality information; and adjustments are made to each affected environmental risk area based on green planting standards. The standard planting environment is obtained by relevant personnel by consulting planting data for the corresponding crops based on their type and growth stage; the standard environmental quality information is obtained by consulting relevant environmental documents, such as GB15618 and GB3095; and the green planting standards are obtained by consulting the websites of relevant associations or organizations, such as the China Green Food Development Center website, which publishes standards and technical specifications related to green food, including green planting environment standards.

[0051] In practical applications, if a key monitoring area is simultaneously a planting environment risk area, an environmental risk area, and various affected environmental risk areas, then the adjustment order for this key monitoring area is: environmental risk adjustment > planting environment risk adjustment > affected environmental risk adjustment.

[0052] Please refer to Figure 2 This application also provides a hydrological environmental risk assessment system based on multi-source data fusion, used to execute the hydrological environmental risk assessment method based on multi-source data fusion described in the first aspect, including: The information acquisition module is used to divide the target area into regulated areas and non-regulated areas, and further divide the regulated areas into key regulated areas and non-key regulated areas; it acquires the first crop environmental impact information, the crop resistance to environmental impact information, the second crop environmental impact information, and the natural environment impact information for each non-key regulated area; The environmental risk analysis module is used to analyze the crop growth status in each non-key monitoring area based on the first crop environmental impact information, and determine whether to update the non-key monitoring area to a key monitoring area; and to analyze and obtain the crop environmental impact characteristic value, crop environmental impact characteristic value, and environmental risk characteristic value based on the crop environmental impact resistance information, the second crop environmental impact information, and the natural environmental impact information in each key monitoring area, and to analyze the environmental risk situation in each key monitoring area. The adjustment module is used to implement corresponding environmental risk adjustments based on the analysis results of environmental risk conditions in each key regulatory area.

[0053] Based on the same technical concept, embodiments of this application also provide an electronic device that can implement the hydrological environmental risk assessment method based on multi-source data fusion provided in the above embodiments of the present invention. In one embodiment, the electronic device can be a server, a terminal device, or other electronic equipment. Figure 3 As shown, the electronic device may include: At least one processor and a memory connected to the at least one processor. In this embodiment of the invention, the specific connection medium between the processor and the memory is not limited. Figure 3 The example used is the connection between the processor and memory via a bus. The bus... Figure 3 The connections between other components are indicated by thick lines and are for illustrative purposes only, not as limiting information. Buses can be divided into address buses, data buses, control buses, etc., but for ease of representation, [the specific bus type is not shown here]. Figure 3 The processor is represented by a single thick line, but this does not imply that there is only one bus or one type of bus. Alternatively, a processor can also be called a controller; there are no restrictions on the name.

[0054] In this embodiment of the invention, the memory stores instructions executable by at least one processor. By executing the instructions stored in the memory, the at least one processor can perform the hydrological environmental risk assessment method based on multi-source data fusion described above. The processor can implement... Figure 3 The functions of each module in the device shown.

[0055] The processor is the control center of the device. It can connect to various parts of the control device through various interfaces and lines. By running or executing instructions stored in memory and calling data stored in memory, it can monitor the device's various functions and process data, thereby enabling overall monitoring of the device.

[0056] In an alternative design, the processor may include one or more processing units. The processor may integrate an application processor and a modem processor, wherein the application processor primarily handles the operating system, user interface, and applications, while the modem processor primarily handles wireless communication. It is understood that the modem processor may also not be integrated into the processor. In some embodiments, the processor and memory may be implemented on the same chip; in some embodiments, they may also be implemented separately on separate chips.

[0057] The processor can be a general-purpose processor, such as a CPU, digital signal processor, application-specific integrated circuit, field-programmable array, or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the hydrological environmental risk assessment method based on multi-source data fusion disclosed in the embodiments of this invention can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0058] Memory, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. Memory can include at least one type of storage medium, such as flash memory, hard disk, multimedia card, card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), magnetic memory, magnetic disk, optical disk, etc. Memory is any other medium capable of carrying or storing desired program code in the form of instructions or data structures, and accessible by a computer, but is not limited thereto. In embodiments of the present invention, memory can also be a circuit or any other device capable of implementing storage functions, used to store program instructions and / or data.

[0059] By designing and programming the processor, the code corresponding to the hydrological environmental risk assessment method based on multi-source data fusion described in the foregoing embodiments can be embedded into the chip, enabling the chip to execute the steps of the method described in the foregoing embodiments during runtime. How to design and program the processor is a technique well-known to those skilled in the art and will not be elaborated upon here.

[0060] Based on the same inventive concept, embodiments of the present invention also provide a storage medium storing computer instructions that, when executed on a computer, cause the computer to perform a hydrological environmental risk assessment method based on multi-source data fusion as described above.

[0061] In some alternative embodiments, the present invention also provides a method for hydrological environmental risk assessment based on multi-source data fusion, which can also be implemented in the form of a program product including program code. When the program product is run on a device, the program code is used to cause the control device to perform the steps in a hydrological environmental risk assessment method based on multi-source data fusion according to various exemplary embodiments of the present invention as described in this specification.

[0062] It should be noted that although several units or sub-units of the apparatus have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the invention, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units. Furthermore, although the operation of the method of the invention is described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0063] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0064] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a server, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0065] Program code for performing the operations of this invention can be written using any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0066] In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A hydrological environmental risk assessment method based on multi-source data fusion, characterized in that, include: The target area is divided into regulated areas and non-regulated areas, and the regulated areas are further divided into key regulated areas and non-key regulated areas. Obtain information on the environmental impact of primary crops in non-key monitoring areas, information on the environmental resistance of crops in key monitoring areas, information on the environmental impact of secondary crops, and information on the impact of the natural environment. Based on the first crop environmental impact information, the crop growth in each non-key monitoring area is analyzed to determine whether to update the non-key monitoring area to a key monitoring area. Based on the information on crop environmental impact resistance, secondary crop environmental impact, and natural environmental impact in each key regulatory area, we analyzed and obtained the characteristic values ​​of crop environmental impact resistance, crop environmental impact, and environmental risk, and analyzed the environmental risk situation in each key regulatory area. Based on the analysis results of environmental risk conditions in each key regulatory area, corresponding environmental risk adjustments will be implemented.

2. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 1, characterized in that, The division of the target area into regulated and non-regulated areas, and the further division of regulated areas into key regulated areas and non-key regulated areas, specifically includes: The target area is initially divided according to its purpose. Areas used for crop cultivation are designated as regulated areas, and areas not used for crop cultivation are designated as non-regulated areas. For each regulatory region, the crop harvest index and yield per unit area for each historical planting cycle are obtained from the data center. The crop harvest index and yield per unit area for each historical planting cycle of each regulatory region are compared with the corresponding optimal crop harvest index and optimal yield per unit area. Then, each regulatory region whose crop harvest index is greater than or equal to the corresponding optimal crop harvest index and yield per unit area for each historical planting cycle is recorded as a non-key regulatory region; otherwise, it is recorded as a key regulatory region.

3. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 1, characterized in that, The first and second crop environmental impact information both represent the impact of crops on the growth environment at each growth stage; the crop resistance to environmental impact information represents the crop's ability to adapt to both crop environmental impact information and natural environmental impact information at each growth stage; the natural environmental impact information represents the impact of natural environmental impact information on the growth environment at each growth stage of crops, excluding crop environmental impact information.

4. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 1, characterized in that, The step of analyzing crop growth in non-key monitoring areas based on the first crop environmental impact information to determine whether to update non-key monitoring areas to key monitoring areas specifically includes: The environmental impact information of the first crop at each growth stage in each historical planting cycle of each non-key monitoring area is averaged to obtain the standard environmental impact information of the first crop at each growth stage in each non-key monitoring area. Then, the ratio of the environmental impact information of the first crop at each growth stage in each non-key monitoring area in the current planting cycle to the standard environmental impact information of the corresponding growth stage in the corresponding non-key monitoring area is recorded as the fluctuation value of the environmental impact information of the first crop at each growth stage in each non-key monitoring area. When the fluctuation value of the environmental impact information of the first crop at each growth stage in a non-key monitoring area is within the preset standard fluctuation range, the growth stages of crops in each non-key monitoring area are continuously monitored; when the fluctuation value of the environmental impact information of the first crop at each growth stage in a non-key monitoring area is not within the standard fluctuation range, the non-key monitoring area is updated to a key monitoring area.

5. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 1, characterized in that, The process for determining the characteristic values ​​of crop resistance to environmental impacts includes: Field control trials were conducted on crops at various growth stages in key monitored areas. The field control trials included several risk stress groups and a normal control group. Each risk stress group was controlled for a single environmental information variable, while the environmental information of the normal control group was controlled according to standard environmental information. Core indicators corresponding to the environmental risk resistance information of crops in each risk stress group and the normal control group were collected after each growth period. After normalizing the core indicators of crops, the weights of each core indicator corresponding to each growth stage of crops in each key monitoring area are determined using the analytic hierarchy process. Finally, the core indicators and their weights corresponding to the environmental risk resistance information of crops in each key monitoring area at each growth stage are weighted and summed to obtain the environmental risk resistance characteristic values ​​of crops in each key monitoring area.

6. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 1, characterized in that, The process for determining the environmental impact characteristic values ​​of crops includes: The weights of the environmental impact information of the second crop at each growth stage in each key regulatory area were determined by the analytic hierarchy process. The environmental impact information of the second crop at each growth stage in each key regulatory area was then normalized. Finally, the characteristic values ​​of the environmental impact of the crop at each growth stage in each key regulatory area were obtained by weighted summation.

7. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 1, characterized in that, The process for determining the environmental risk characteristic values ​​includes: The environmental impact information and natural environmental impact information of the second crop at each growth stage in each key regulatory area are normalized. The weights of the environmental impact information and natural environmental impact information of the second crop at each growth stage in each key regulatory area are determined by the analytic hierarchy process. Finally, the environmental risk characteristic value of each growth stage in each key regulatory area is obtained by weighted summation.

8. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 1, characterized in that, The report also analyzes the environmental risk situation in each key regulatory area, specifically including: The environmental risk characteristic value of each growth stage in each key regulatory area is compared with the environmental resistance characteristic value of the corresponding crop at the same growth stage in each key regulatory area. If the ratio of the environmental risk characteristic value of a certain growth stage in a key regulatory area to the corresponding environmental resistance characteristic value of the crop is greater than 1, then the key regulatory area is recorded as a planting environmental risk area. The environmental risk characteristic values ​​of each key regulatory area are compared with the set environmental risk characteristic thresholds. If the ratio of the environmental risk characteristic value of a key regulatory area to the set environmental risk characteristic threshold is greater than 1, then the key regulatory area is recorded as an environmental risk area. The environmental impact characteristic values ​​of crops at each growth stage in each key regulatory area are compared with the set environmental impact threshold values ​​of crops at each growth stage. If the ratio of the environmental impact characteristic value of crops at a certain growth stage in a key regulatory area to the corresponding environmental impact characteristic threshold value of crops is greater than 1, then the key regulatory area is recorded as an affected environmental risk area.

9. The hydrological environmental risk assessment method based on multi-source data fusion according to claim 8, characterized in that, The implementation of corresponding environmental risk adjustments based on the environmental risk analysis results of each key regulatory area specifically includes: Adjust the planting environment risk areas according to the standard planting environment at the current growth stage of the crops; Adjustments were made to each environmental risk area in accordance with standard environmental quality information; Adjustments were made to each affected environmental risk area in accordance with green planting standards.

10. A hydrological environmental risk assessment system based on multi-source data fusion, used to execute the hydrological environmental risk assessment method based on multi-source data fusion as described in any one of claims 1-9, characterized in that, include: The information acquisition module is used to divide the target area into regulated areas and non-regulated areas, and further divide the regulated areas into key regulated areas and non-key regulated areas; Obtain information on the environmental impact of primary crops in non-key monitoring areas, information on the environmental resistance of crops in key monitoring areas, information on the environmental impact of secondary crops, and information on the impact of the natural environment. The environmental risk analysis module is used to analyze the crop growth in each non-key monitoring area based on the first crop environmental impact information, and to determine whether to update the non-key monitoring area to a key monitoring area. Based on the information on crop resistance to environmental impact, secondary crop environmental impact, and natural environmental impact in each key regulatory area, we analyzed and obtained the characteristic values ​​of crop resistance to environmental impact, the characteristic values ​​of crop environmental impact, and the characteristic values ​​of environmental risk, and analyzed the environmental risk situation in each key regulatory area. The adjustment module is used to implement corresponding environmental risk adjustments based on the analysis results of environmental risk conditions in each key regulatory area.

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