A method and early warning system for tracing agricultural non-point source pollutants in a river basin

Abstract

This invention relates to the field of watershed conservation supervision, specifically to a remote monitoring module for acquiring remote monitoring parameters of areas requiring watershed conservation evaluation and sending these parameters to a data analysis module. The data analysis module obtains remote monitoring coefficients based on the remote monitoring parameters and sends these coefficients to the watershed supervision platform. A source tracing and detection module acquires on-site detection parameters of the evaluation area, obtains on-site detection coefficients based on these parameters, and sends these coefficients to the watershed supervision platform. The on-site detection parameters include nitrogen and phosphorus values, oxygen consumption values, and color values. This invention achieves near-real-time remote sensing monitoring and refined project management. Through multiple data analyses and evaluations, it improves the accuracy of quantitative evaluation, giving it advantages in real-time performance, refinement, accuracy, and efficiency, thereby enhancing the efficiency and accuracy of watershed conservation work.

Description

Technical Field

[0001] This invention relates to the field of watershed conservation and monitoring, specifically to a method and early warning system for tracing agricultural non-point source pollutants in watersheds. Background Technology

[0002] Chinese patent CN110487987B discloses a combined FRN-CSSI source tracing and analysis method for agricultural non-point source pollution in watersheds, including the following steps: (1) sample collection using FRN tracing and CSSI source tracing technologies; (2) sample analysis using FRN tracing and CSSI source tracing technologies; (3) sediment transport rate of different land use types / vegetation types in the watershed; (4) contribution ratio of different vegetation types to sediment sources in the watershed; (5) source analysis of sediment and its pollutants.

[0003] Existing technologies employ a combined FRN and CSSI source tracing technique, which can quantitatively identify the land use sources of sediment pollutants in a watershed and their input water system using a load flux method. Based on the soil erosion and sediment yield rates and land use areas of different land use types, key control areas for soil erosion and pollution within the watershed can be quantitatively identified and delineated. However, this technology cannot perform preliminary detection using remote sensing images. Further source tracing and arranging for detection can be carried out after the detection results are available, in order to effectively improve the efficiency and accuracy of the detection. Summary of the Invention

[0004] To overcome the aforementioned technical problems, the present invention aims to provide a method and early warning system for tracing agricultural non-point source pollutants in a watershed: A remote monitoring module acquires remote monitoring parameters of the area requiring watershed conservation assessment, including the pollution-to-surface-point ratio, slope value, and rainfall value. A data analysis module obtains a remote monitoring coefficient based on the remote monitoring parameters. A watershed monitoring platform generates an early warning command based on the remote monitoring coefficient. Upon receiving the early warning command, a hazard alarm module sounds an alarm and acquires the location of the assessment area and the on-site monitoring agency. The location of the assessment area is then sent to the source tracing detection module of the on-site monitoring agency. The source tracing detection module acquires on-site monitoring parameters of the assessment area and obtains an on-site monitoring coefficient based on these parameters. The on-site monitoring parameters include nitrogen and phosphorus values, oxygen consumption value, and color value. The watershed monitoring platform obtains a hazard coefficient based on the remote monitoring coefficient and the on-site monitoring coefficient, and generates a hazard alarm command based on the hazard coefficient. Upon receiving the hazard alarm command, the hazard alarm module sounds a hazard alarm.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A watershed agricultural non-point source pollutant early warning system includes:

[0007] The remote monitoring module is used to acquire remote monitoring parameters for areas requiring watershed conservation assessment and send these parameters to the data analysis module. These parameters include the pollution surface ratio, slope value, and rainfall value. The specific process by which the remote monitoring module acquires these parameters is as follows:

[0008] The areas requiring watershed conservation assessment are marked as assessment areas, and remote sensing images of the assessment areas are acquired.

[0009] The total area of ​​the evaluation area and the area of ​​pollutants in the evaluation area are obtained from remote sensing images and marked as total area value and polluted area value. The ratio between polluted area value and total area value is obtained and marked as polluted area ratio.

[0010] The average slope of the evaluation area is obtained from remote sensing images and marked as a slope value.

[0011] The system obtains historical rainfall data from the evaluation area, including the total rainfall, number of rainfalls, and total duration of rainfall within a preset time period. These data are then labeled as rainfall amount, rainfall frequency, and rainfall duration, and analyzed to obtain the rainfall value.

[0012] Send the polluted area ratio, slope value, and rainfall value to the data analysis module;

[0013] The data analysis module is used to obtain the remote monitoring coefficient based on the remote monitoring parameters and send the remote monitoring coefficient to the watershed supervision platform;

[0014] The watershed monitoring platform is used to generate early warning commands based on remote monitoring coefficients and send the early warning commands to the hazard alarm module; it is also used to obtain hazard coefficients based on remote monitoring coefficients and on-site detection coefficients, generate hazard alarm commands based on the hazard coefficients, and send the hazard alarm commands to the hazard alarm module.

[0015] The hazard alarm module is used to sound a warning alarm after receiving a warning command, obtain the location of the evaluation area and the on-site testing agency, and send the location of the evaluation area to the traceability testing module of the on-site testing agency; it is also used to sound a hazard alarm after receiving a hazard alarm command.

[0016] The source tracing and detection module is used to obtain the on-site detection parameters of the evaluation area, obtain the on-site detection coefficient based on the on-site detection parameters, and send the on-site detection coefficient to the watershed supervision platform; among them, the on-site detection parameters include nitrogen and phosphorus values, oxygen consumption values, and color values.

[0017] As a further aspect of the present invention, the specific process by which the data analysis module obtains the remote monitoring coefficient is as follows:

[0018] The remote monitoring coefficient is obtained by analyzing the sewage ratio, slope value, and rainfall value.

[0019] The remote monitoring coefficients are sent to the watershed management platform.

[0020] As a further aspect of the present invention, the specific process by which the traceability detection module acquires on-site detection parameters is as follows:

[0021] Several testing points were randomly selected in the evaluation area, and the soil hardness, soil moisture and soil density of each collection point were obtained. These were then labeled as nitrogen and phosphorus values, oxygen consumption values ​​and color values, respectively. The nitrogen and phosphorus values, oxygen consumption values ​​and color values ​​were analyzed to obtain the water pollution value.

[0022] As a further aspect of the present invention: the water pollution values ​​of all detection points are sorted in descending order. If there is only one water pollution value in the middle position, the water pollution value in the middle position is marked as the on-site detection coefficient.

[0023] As a further aspect of the present invention: if there is more than one water pollution value at the intermediate position, the average value of all water pollution values ​​at the intermediate position is marked as the on-site detection coefficient;

[0024] The on-site detection coefficients are sent to the watershed monitoring platform.

[0025] A method for tracing agricultural non-point source pollutants in a watershed includes the following steps:

[0026] Step T1: The remote monitoring module marks the area requiring watershed conservation assessment as the assessment area and acquires remote sensing images of the assessment area;

[0027] Step T2: The remote monitoring module obtains the total area of ​​the evaluation area and the green area in the evaluation area based on the remote sensing image, and marks them as the total area value and the pollution area value. It also obtains the ratio between the pollution area value and the total area value and marks it as the pollution area ratio.

[0028] Step T3: The remote monitoring module obtains the average slope of the evaluation area based on the remote sensing image and marks it as a slope value;

[0029] Step T4: The remote monitoring module obtains the rainfall information from the historical data of the evaluation area, obtains the total rainfall, the number of rainfalls and the total duration of rainfall within a preset time, and marks them as rainfall value, rainfall frequency value and rainfall duration value in sequence. The rainfall value is obtained by analyzing the rainfall value, rainfall frequency value and rainfall duration value.

[0030] Step T5: The remote monitoring module sends the sludge ratio, slope value, and rainfall value to the data analysis module;

[0031] Step T6: The data analysis module analyzes the filth ratio, slope value, and rainfall value to obtain the remote monitoring coefficient;

[0032] Step T7: The data analysis module sends the remote monitoring coefficients to the watershed supervision platform;

[0033] Step T8: The watershed monitoring platform compares the remote monitoring coefficient with the preset remote monitoring threshold. If the remote monitoring coefficient is greater than the remote monitoring threshold, an early warning instruction is generated and sent to the danger alarm module.

[0034] Step T9: After receiving the warning command, the danger alarm module sounds the warning alarm, obtains the location of the evaluation area, obtains the watershed supervision and inspection agency with the smallest distance from the evaluation area, marks it as the on-site inspection agency, and sends the location of the evaluation area to the traceability detection module of the on-site inspection agency;

[0035] Step T10: The source tracing and detection module randomly selects several detection points in the evaluation area and obtains the soil hardness, soil moisture and soil density of each collection point, and marks them as nitrogen and phosphorus values, oxygen consumption values ​​and color values ​​in sequence. The nitrogen and phosphorus values, oxygen consumption values ​​and color values ​​are analyzed to obtain the water pollution value.

[0036] Step T11: The source tracing detection module sorts the water pollution values ​​of all detection points in descending order. If there is only one water pollution value in the middle position, the water pollution value in the middle position is marked as the on-site detection coefficient. If there is more than one water pollution value in the middle position, the average value of all water pollution values ​​in the middle position is marked as the on-site detection coefficient.

[0037] Step T12: The source tracing and detection module sends the on-site detection coefficients to the watershed monitoring platform;

[0038] Step T13: The watershed monitoring platform obtains the product of the remote monitoring coefficient and the on-site detection coefficient, and marks it as the hazard coefficient;

[0039] Step T14: The watershed monitoring platform compares the risk factor with the preset risk threshold. If the risk factor is greater than the risk threshold, a risk alarm command is generated and sent to the risk alarm module.

[0040] Step T15: After receiving the danger alarm command, the danger alarm module sounds a danger alarm.

[0041] The beneficial effects of this invention are:

[0042] The watershed agricultural non-point source pollutant early warning system of this invention acquires remote monitoring parameters of the area requiring watershed conservation assessment through a remote monitoring module. These parameters include the pollution-to-surface-area ratio, slope value, and rainfall value. A data analysis module obtains a remote monitoring coefficient based on these parameters. A watershed monitoring platform generates an early warning command based on the remote monitoring coefficient. Upon receiving the early warning command, a hazard alarm module sounds an alarm and acquires the location of the assessment area and the on-site monitoring agency. The location of the assessment area is then sent to the source tracing module of the on-site monitoring agency. The source tracing module acquires the on-site monitoring parameters of the assessment area and obtains an on-site monitoring coefficient based on these parameters. These on-site monitoring parameters include nitrogen and phosphorus values, oxygen consumption values, and color values. The watershed monitoring platform obtains a hazard coefficient based on the remote monitoring coefficient and the on-site monitoring coefficient, and generates a hazard alarm command based on the hazard coefficient. Upon receiving the hazard alarm command, the hazard alarm module sounds a hazard alarm. This watershed agricultural non-point source pollutant early warning system first utilizes satellite remote sensing technology to acquire remote sensing images, and then uses these images to assess the area requiring watershed conservation assessment. Data is collected in the watershed conservation assessment area to obtain remote monitoring parameters. The remote monitoring coefficient obtained from the remote monitoring parameters is used to pre-evaluate the watershed loss risk level in the area, with a higher remote monitoring coefficient indicating a higher risk level. Then, on-site detection is conducted in areas with early warnings to obtain on-site detection coefficients. The risk coefficient obtained from the remote monitoring coefficient and the on-site detection coefficient is used to conduct a final assessment of the watershed loss risk level in the area, with a higher risk coefficient indicating a higher risk level. This watershed agricultural non-point source pollutant early warning system organically combines remote sensing technology, on-site detection methods, and comprehensive data processing methods to achieve "near real-time" remote sensing monitoring and "refined" project management. Through multiple data analyses and evaluations, the accuracy of quantitative evaluation is improved, giving it advantages in real-time performance, refinement, accuracy, and efficiency. This enhances the efficiency and accuracy of watershed conservation work. Furthermore, the source tracing and detection module tracks and verifies the detection results from remote sensing technology, improving the accuracy and efficiency of agricultural non-point source pollutant detection in the watershed. Attached Figure Description

[0043] The invention will now be further described with reference to the accompanying drawings.

[0044] Figure 1 This is a schematic diagram of a watershed agricultural non-point source pollutant early warning system according to the present invention. Detailed Implementation

[0045] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0046] Example 1:

[0047] Please see Figure 1 As shown, this embodiment is a watershed agricultural non-point source pollutant early warning system, which includes the following modules: remote monitoring module, data analysis module, watershed supervision platform, hazard alarm module, and source tracing detection module;

[0048] The remote monitoring module is used to acquire remote monitoring parameters for areas requiring watershed agricultural non-point source pollution conservation assessment and send these parameters to the data analysis module. The remote monitoring parameters include the pollution ratio LM, slope value PD, and rainfall value JY.

[0049] The data analysis module is used to obtain the remote monitoring coefficient YC based on the remote monitoring parameters and send the remote monitoring coefficient YC to the watershed supervision platform.

[0050] The watershed monitoring platform is used to generate an early warning command based on the remote monitoring coefficient YC and send the early warning command to the danger alarm module; it is also used to obtain the danger coefficient WX based on the remote monitoring coefficient YC and the on-site detection coefficient XC, generate a danger alarm command based on the danger coefficient WX, and send the danger alarm command to the danger alarm module.

[0051] The danger alarm module is used to sound a warning alarm after receiving a warning command, obtain the location of the evaluation area and the on-site testing agency, and send the location of the evaluation area to the traceability testing module of the on-site testing agency; it is also used to sound a danger alarm after receiving a danger alarm command.

[0052] The source tracing and detection module is used to obtain the on-site detection parameters of the evaluation area, obtain the on-site detection coefficient XC based on the on-site detection parameters, and send the on-site detection coefficient XC to the watershed supervision platform; the on-site detection parameters include nitrogen and phosphorus value RY, oxygen consumption value RS, and color value RM.

[0053] Example 2:

[0054] Please see Figure 1 As shown in the figure, this embodiment is a method for tracing the source of agricultural non-point source pollutants in a watershed, including the following steps:

[0055] Step T1: The remote monitoring module marks the area requiring watershed conservation assessment as the assessment area and acquires remote sensing images of the assessment area;

[0056] Step T2: The remote monitoring module obtains the total area of ​​the evaluation area and the area of ​​pollutants in the evaluation area based on the remote sensing image, and marks them as the total area value and the polluted area value. It also obtains the ratio between the polluted area value and the total area value and marks it as the polluted area ratio LM.

[0057] Step T3: The remote monitoring module obtains the average slope of the evaluation area based on the remote sensing image and marks it as the slope value PD;

[0058] Step T4: The remote monitoring module obtains the rainfall information from the historical data of the evaluation area, obtains the total rainfall, the number of rainfalls, and the total duration of rainfall within a preset time, and marks them as rainfall value YL, rainfall frequency value YC, and rainfall duration value YS respectively. Substitute the rainfall value YL, rainfall frequency value YC, and rainfall duration value YS into the formula JY=j1×YL+j2×YC+j3×YS to obtain the rainfall value JY, where j1, j2, and j3 are the preset proportional coefficients of rainfall value YL, rainfall frequency value YC, and rainfall duration value YS respectively, and j1+j2+j3=1, 0<j1<j2<j3<1, take j1=0.30, j2=0.32, j3=0.38;

[0059] Step T5: The remote monitoring module sends the sludge ratio LM, slope value PD, and rainfall value JY to the data analysis module;

[0060] Step T6: The data analysis module substitutes the sludge ratio LM, slope value PD, and rainfall value JY into the formula. The remote monitoring coefficient YC is obtained, where y1, y2 and y3 are the preset weighting coefficients of the polluted surface ratio LM, the slope value PD and the rainfall value JY, respectively, and y3 > y1 > y2 > 4.65. We take y1 = 4.94, y2 = 4.78 and y3 = 5.20.

[0061] Step T7: The data analysis module sends the remote monitoring coefficient YC to the watershed supervision platform;

[0062] Step T8: The watershed monitoring platform compares the remote monitoring coefficient YC with the preset remote monitoring threshold YCy: if the remote monitoring coefficient YC > the remote monitoring threshold YCy, an early warning instruction is generated and sent to the danger alarm module;

[0063] Step T9: After receiving the warning command, the danger alarm module sounds the warning alarm, obtains the location of the evaluation area, obtains the watershed supervision and inspection agency with the smallest distance from the evaluation area, marks it as the on-site inspection agency, and sends the location of the evaluation area to the traceability detection module of the on-site inspection agency;

[0064] Step T10: The source tracing detection module randomly selects several detection points in the evaluation area and obtains the nitrogen and phosphorus values, oxygen consumption values, and color values ​​of the water at each collection point. These values ​​are then labeled as nitrogen and phosphorus value (RY), oxygen consumption value (RS), and color value (RM), respectively. The nitrogen and phosphorus value (RY), oxygen consumption value (RS), and color value (RM) are then substituted into the formula. The water pollution value TR is obtained, where r1, r2 and r3 are the preset proportional coefficients of rainfall value YL, rainfall frequency value YC and rainfall duration value YS, respectively, and r1+r2+r3=1, 0<r2<r3<r1<1, take r1=0.45, r2=0.21, r3=0.34;

[0065] Step T11: The source tracing detection module sorts the water pollution values ​​TR of all detection points in descending order. If there is only one water pollution value TR in the middle position, the water pollution value TR in the middle position is marked as the on-site detection coefficient XC. If there is more than one water pollution value TR in the middle position, the average value of all water pollution values ​​TR in the middle position is marked as the on-site detection coefficient XC.

[0066] Step T12: The source tracing and detection module sends the on-site detection coefficient XC to the watershed monitoring platform;

[0067] Step T13: The watershed monitoring platform obtains the product of the remote monitoring coefficient YC and the on-site detection coefficient XC, and marks it as the hazard coefficient WX;

[0068] Step T14: The watershed monitoring platform compares the hazard coefficient WX with the preset hazard threshold WXy: if the hazard coefficient WX > the hazard threshold WXy, a hazard alarm command is generated and sent to the hazard alarm module;

[0069] Step T15: After receiving the danger alarm command, the danger alarm module sounds a danger alarm.

[0070] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0071] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

Claims

1. A basin agricultural non-point source pollutant early warning system, characterized in that, The application relates to a remote monitoring and early warning method for a watershed agricultural non-point source pollutant, which comprises the following steps: a remote monitoring module is used for acquiring remote monitoring parameters of a region needing watershed retention evaluation and sending the remote monitoring parameters to a data analysis module; wherein the remote monitoring parameters comprise a pollution area ratio, a slope value and a rainfall value; the specific process of acquiring the remote monitoring parameters is as follows: a region needing watershed retention evaluation is marked as an evaluation area, and remote sensing images of the evaluation area are acquired; total area of the evaluation area and a pollutant area in the evaluation area are acquired according to the remote sensing images, and the total area and the pollutant area are marked as a total area value and a pollution area value; a ratio between the pollution area value and the total area value is acquired and marked as a pollution area ratio; average slope of the evaluation area is acquired according to the remote sensing images, and the average slope is marked as a slope value; rainfall conditions in historical data of the evaluation area are acquired, total rainfall amount, rainfall frequency and total rainfall duration in a preset time are acquired, and the total rainfall amount, the rainfall frequency and the total rainfall duration are marked as a rainfall value, a rainfall frequency value and a rainfall duration value in sequence; the rainfall value, the rainfall frequency value and the rainfall duration value are analyzed to obtain a rainfall value; the pollution area ratio, the slope value and the rainfall value are sent to the data analysis module; a data analysis module is used for acquiring a remote monitoring coefficient according to the remote monitoring parameters and sending the remote monitoring coefficient to a watershed supervision platform; the watershed supervision platform is used for generating an early warning instruction according to the remote monitoring coefficient and sending the early warning instruction to a danger alarm module; the watershed supervision platform is also used for acquiring a danger coefficient according to the remote monitoring coefficient and a field detection coefficient, generating a danger alarm instruction according to the danger coefficient and sending the danger alarm instruction to the danger alarm module; the danger alarm module is used for sounding an early warning alarm after receiving the early warning instruction, acquiring a position of the evaluation area and a field detection mechanism and sending the position of the evaluation area to a traceable detection module of the field detection mechanism; the danger alarm module is also used for sounding a danger alarm alarm after receiving the danger alarm instruction; a traceable detection module is used for acquiring field detection parameters of the evaluation area, acquiring a field detection coefficient according to the field detection parameters and sending the field detection coefficient to the watershed supervision platform; wherein the field detection parameters comprise nitrogen and phosphorus values, oxygen consumption values and chroma values; the application further relates to a watershed agricultural non-point source pollutant traceability method, which comprises the following steps: step T1: a remote monitoring module marks a region needing watershed retention evaluation as an evaluation area and acquires remote sensing images of the evaluation area; step T2: a remote monitoring module acquires total area of the evaluation area and a green area in the evaluation area according to the remote sensing images, marks the total area and the green area as a total area value and a pollution area value, acquires a ratio between the pollution area value and the total area value and marks the ratio as a pollution area ratio; step T3: a remote monitoring module acquires average slope of the evaluation area according to the remote sensing images and marks the average slope as a slope value; step T4: a remote monitoring module acquires rainfall conditions in historical data of the evaluation area, acquires total rainfall amount, rainfall frequency and total rainfall duration in a preset time, marks the total rainfall amount, the rainfall frequency and the total rainfall duration as a rainfall value, a rainfall frequency value and a rainfall duration value in sequence, and analyzes the rainfall value, the rainfall frequency value and the rainfall duration value to obtain a rainfall value; step T5: a remote monitoring module sends the pollution area ratio, the slope value and the rainfall value to a data analysis module; step T6: a data analysis module analyzes the pollution area ratio, the slope value and the rainfall value to obtain a remote monitoring coefficient; Step T7: The data analysis module sends the remote monitoring coefficient to the river basin supervision platform; Step T8: The river basin supervision platform compares the remote monitoring coefficient with the preset remote monitoring threshold value: if the remote monitoring coefficient > the remote monitoring threshold value, an early warning instruction is generated, and the early warning instruction is sent to the danger alarm module; Step T9: After receiving the early warning instruction, the danger alarm module sounds an early warning alarm, obtains the location of the evaluation area, obtains the river basin supervision detection mechanism closest to the location of the evaluation area, marks it as the on-site detection mechanism, and sends the location of the evaluation area to the traceability detection module of the on-site detection mechanism; Step T10: The traceability detection module randomly selects several detection points in the evaluation area, obtains the nitrogen and phosphorus content, chemical oxygen demand, and color of each collection point, and marks them as nitrogen and phosphorus values, oxygen consumption values, and color values, respectively. The nitrogen and phosphorus values, oxygen consumption values, and color values are analyzed to obtain water pollution values; Step T11: The traceability detection module sorts all the water pollution values of the detection points in descending order, and if there is only one water pollution value in the middle position, the water pollution value in the middle position is marked as the on-site detection coefficient. If there is more than one water pollution value in the middle position, the average value of all the water pollution values in the middle position is marked as the on-site detection coefficient; Step T12: The traceability detection module sends the on-site detection coefficient to the river basin supervision platform; Step T13: The river basin supervision platform obtains the product of the remote monitoring coefficient and the on-site detection coefficient, and marks it as the danger coefficient; Step T14: The river basin supervision platform compares the danger coefficient with the preset danger threshold value: if the danger coefficient > the danger threshold value, a danger alarm instruction is generated, and the danger alarm instruction is sent to the danger alarm module; Step T15: After receiving the danger alarm instruction, the danger alarm module sounds a danger alarm alarm. 2.The basin agricultural non-point source pollutant early warning system according to claim 1, characterized in that, The specific process of obtaining the remote monitoring coefficient by the data analysis module is as follows: The remote monitoring coefficient is obtained by analyzing the pollution area ratio, slope value, and rainfall value; The remote monitoring coefficient is sent to the river basin supervision platform. 3.The basin agricultural non-point source pollutant early warning system according to claim 1, characterized in that, The specific process of obtaining the on-site detection parameter by the traceability detection module is as follows: In the evaluation area, several detection points are randomly selected, and the nitrogen and phosphorus content, chemical oxygen demand, and color of each collection point are obtained, and they are marked as nitrogen and phosphorus values, oxygen consumption values, and color values, respectively. The nitrogen and phosphorus values, oxygen consumption values, and color values are analyzed to obtain water pollution values.

4. The early warning system for non-point source pollutants of catchment agriculture according to claim 1, characterized in that, All the water pollution values of the detection points are sorted in descending order, and if there is only one water pollution value in the middle position, the water pollution value in the middle position is marked as the on-site detection coefficient.

5. The early warning system for non-point source pollutants of catchment area agriculture according to claim 1, characterized in that, If there is more than one water pollution value in the middle position, the average value of all the water pollution values in the middle position is marked as the on-site detection coefficient; The on-site detection coefficient is sent to the river basin supervision platform.

6. A method for tracing non-point source pollutants of agricultural face in a river basin, characterized in that, The following steps are included: Step T1: The remote monitoring module marks the area that needs to be evaluated for river basin maintenance as an evaluation area, and obtains the remote sensing image of the evaluation area; Step T2: The remote monitoring module obtains the total area of the evaluation area and the green area in the evaluation area from the remote sensing image, marks them as total area value and pollution area value, obtains the ratio between the pollution area value and the total area value, and marks it as the pollution area ratio; Step T3: The remote monitoring module obtains the average slope of the evaluation area according to the remote sensing image, and marks it as a slope value; Step T4: The remote monitoring module obtains the rainfall condition in the historical data of the evaluation area, obtains the total rainfall, rainfall frequency and total rainfall duration within a preset time, and marks them as rainfall value, rain frequency value and rain duration value respectively, and obtains the rainfall value by analyzing the rainfall value, rain frequency value and rain duration value; Step T5: The remote monitoring module sends the pollution area ratio, slope value and rainfall value to the data analysis module; Step T6: The data analysis module analyzes the pollution area ratio, slope value and rainfall value to obtain a remote monitoring coefficient; Step T7: The data analysis module sends the remote monitoring coefficient to the basin supervision platform; Step T8: The basin supervision platform compares the remote monitoring coefficient with a preset remote monitoring threshold value: if the remote monitoring coefficient is greater than the remote monitoring threshold value, an early warning instruction is generated, and the early warning instruction is sent to the danger alarm module; Step T9: After receiving the early warning instruction, the danger alarm module sounds an early warning alarm, obtains the location of the evaluation area, obtains the basin supervision detection mechanism closest to the location of the evaluation area, and marks it as a field detection mechanism, and sends the location of the evaluation area to the traceability detection module of the field detection mechanism; Step T10: The traceability detection module randomly selects a plurality of detection points in the evaluation area, and obtains the nitrogen and phosphorus content, chemical oxygen demand and colority of each collection point, and marks them as nitrogen and phosphorus value, oxygen consumption value and colority value respectively, and obtains the water pollution value by analyzing the nitrogen and phosphorus value, oxygen consumption value and colority value; Step T11: The traceability detection module sorts all the water pollution values of the detection points in descending order, if there is only one water pollution value in the middle position, the water pollution value in the middle position is marked as a field detection coefficient, if there is more than one water pollution value in the middle position, the average value of all the water pollution values in the middle position is marked as a field detection coefficient; Step T12: The traceability detection module sends the field detection coefficient to the basin supervision platform; Step T13: The basin supervision platform obtains the product of the remote monitoring coefficient and the field detection coefficient, and marks it as a danger coefficient; Step T14: The basin supervision platform compares the danger coefficient with a preset danger threshold value: if the danger coefficient is greater than the danger threshold value, a danger alarm instruction is generated, and the danger alarm instruction is sent to the danger alarm module; Step T15: After receiving the danger alarm instruction, the danger alarm module sounds a danger alarm alarm.

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