Environmental monitoring method and system based on dynamic planning

Abstract

The invention discloses an environment monitoring method and system based on dynamic planning, and relates to the technical field of environment monitoring, and the method comprises the steps: measuring and calculating the initial measurement total volume and initial measurement total area of a detected water body, detecting the initial measurement oxygen content and initial measurement ammonia nitrogen content of a sampled water body, obtaining the rainfall per unit area of a monitoring region within 24 hours, and calculating the initial measurement total volume and initial measurement total area of the detected water body; calculating to obtain actual oxygen content of the water body before being influenced by rainfall, calculating a correction coefficient of the ammonia nitrogen content in the water body influenced by time, calculating to obtain actual ammonia nitrogen concentration before being influenced by rainfall, and calculating to obtain a water body pollution index; the method comprises the following steps: acquiring a soil runoff coefficient of a monitored area, calculating the infiltration water amount of a sample collection point within 24 hours, measuring to obtain the content of primarily measured mercury metal and primarily measured cadmium metal, calculating to obtain the content of actual mercury metal and actual cadmium metal before being influenced by rainfall, and calculating to obtain a soil pollution index; and calculating a pollution emission index of each region, calculating to obtain a global pollution condition index, and calculating to obtain a global pollution prediction function.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to an environmental monitoring method and system based on dynamic programming. Background Art

[0002] With the development of big data technology and the continuous promotion of the concept of sustainable development, the demand for intelligent and dynamically planned environmental monitoring is becoming increasingly prominent. Traditional environmental monitoring usually relies on manual sampling, which is inefficient and the sampling locations are usually not deep enough into the environment. At the same time, it wastes a lot of energy and has large errors. An environmental monitoring method and system based on dynamic planning can well solve the above problems.

[0003] In the Chinese invention application with application publication number CN119325072A, an environmental monitoring method, system and equipment based on a 5G sensor network were disclosed, including obtaining environmental data collected by sensors and scan data scanned by the drone; analyzing the scan data to determine the construction scope; based on the construction scope, analyzing the environmental data to obtain data analysis results, and determining whether there is out-of-range pollution based on the data analysis results; if so, issuing a pollution warning based on the data analysis results.

[0004] In the above invention application, environmental data was collected by using sensors mounted on drones to determine the construction scope, and then real-time monitoring was carried out within the scope to determine whether there was any pollution beyond the scope. However, the error of the pollution data affected by the weather was not taken into account, which could easily lead to misjudgment. At the same time, the pollution trend in the environment was not analyzed, and the pollution source could not be quickly found.

[0005] Therefore, the present invention provides an environment monitoring method and system based on dynamic programming. Summary of the Invention

[0006] (1) Technical problems solved

[0007] In response to the shortcomings of the existing technology, the present invention provides an environmental monitoring method and system based on dynamic programming. By analyzing and correcting the impact of rainfall on the oxygen content and ammonia nitrogen content of water bodies, while considering the impact of the volatilization of ammonia nitrogen during the sample delivery time, the impact of rainfall on the mercury and cadmium content in the soil is analyzed, the impact of rainfall on the monitoring results is reduced, and the monitoring results are more accurate. At the same time, trend functions and prediction functions are established to analyze the pollution trend of the entire environment and predict the pollution status.

[0008] (2) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: an environmental monitoring method based on dynamic programming, comprising the following steps:

[0010] Calculate the total volume of the water body being tested (Vc) ij and the initial total area Sc ij , detect the initial oxygen content Oc of the sampled water ij And the initial ammonia nitrogen content Nc ij , obtain the unit area rainfall Yu in the monitoring area within 24 hours ih , sample rainwater and analyze the oxygen content of rainwater Oy ij and ammonia nitrogen content in rainwater Ny ij Calculate the actual oxygen content sO in the water before the rainfall ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij , calculate the water pollution index St ij ;

[0011] Get the unit area rainfall Yu within 24 hours in the monitoring area ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij , measured to obtain the initial mercury metal cHg ij And the initial measurement of cadmium metal content cCd ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij ;

[0012] According to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , investigate the most serious areas to find the pollution source, and calculate the global pollution index Qy j , evaluate whether the pollution is getting worse or not, and calculate the global pollution prediction function Fo j , to determine the pollution status of the entire area.

[0013] Furthermore, the total volume of the water body to be tested, Vc, is calculated. ij , detect the initial oxygen content Oc of the sampled water ij , obtain the rainfall situation in the monitoring area within 24 hours, sample the rainwater, and analyze the oxygen content of the rainwater Oy ij Calculate the actual oxygen content sO in the water before the rainfall ij :

[0014]

[0015] Wherein, i represents the number of each sample collection point, i=1, 2, ..., m, j represents the time sequence number of environmental monitoring, j=1, 2, ..., n, h represents the number of each hour in 24 hours, h=0, 1, ..., 24, m and n are positive integers.

[0016] Furthermore, the initial ammonia nitrogen content Nc of the sampled water was detected. ij , analyze the ammonia nitrogen content Ny in rainwater ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij :

[0017]

[0018] Among them, N0 represents the initial ammonia nitrogen concentration in the test water, N t Indicates the ammonia nitrogen concentration in the test water after time t.

[0019] Furthermore, the actual oxygen content sO of the water body before the impact of rainfall is obtained. ij and actual ammonia nitrogen concentration sN ij , calculate the water pollution index:

[0020]

[0021] When St ij When St<1, it indicates that the quality of the sampled water is qualified; when St ij When ≥1, it indicates that the sampled water body is polluted to a certain extent;

[0022] in, Indicates taking and The maximum value in O min The minimum oxygen content in a Class I water body is 7.5 mg / L, N max The maximum ammonia nitrogen content in Class I water bodies is 0.15 mg per liter.

[0023] Furthermore, the unit area rainfall Yu in the monitoring area within 24 hours is obtained. ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij :

[0024]

[0025] The infiltration water volume P at the collection point ij The calculation formula is as above.

[0026] Furthermore, the infiltration water volume P at the sample collection point within 24 hours is obtained. ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij :

[0027]

[0028] Among them, R Hg and R Cd are the leaching coefficients of mercury and cadmium, respectively, h i represents the soil thickness from which the sample was collected, ε i Indicates the soil density at the sample collection point.

[0029] Furthermore, the actual mercury metal sHg before the impact of rainfall was obtained. ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij :

[0030]

[0031] Among them, Hg max The mercury content in the construction land is up to 38 mg / kg, Cd max It means that the maximum cadmium content in construction land is 40 mg per kilogram.

[0032] Furthermore, according to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , for the most serious area Wr max Conduct investigations to find the source of pollution:

[0033]

[0034] Among them, Max(Wr ij ) means taking Wr ij The area with the largest value is the most polluted area and needs to be investigated to find the source of pollution.

[0035] Furthermore, the pollution emission index Wr of each region is obtained ij , calculate and obtain the global pollution status index Qy j , evaluate whether the pollution is getting worse;

[0036]

[0037] in, represents the mean of the past 20 detection times j, Represents the pollution emission index Wr of all sample collection points ij The mean of

[0038] When Qy j When Qy is less than 0, it indicates that the pollution situation in the whole area is improving or stabilizing. j When it is greater than 0, it indicates that the pollution situation in the entire area is getting worse.

[0039] Furthermore, obtain the pollution emission index Wr of each region ij , calculate and obtain the global pollution prediction function Fo j , judge the pollution status of the entire area:

[0040]

[0041] When Fo j+1 When it is less than 1, it indicates that the pollution condition of the whole area is good. j+1 When ≥1, it indicates that the pollution situation in the whole area is serious.

[0042] An environmental monitoring system based on dynamic programming, comprising:

[0043] Rainfall impact correction module, by analyzing the effect of rainfall on the actual oxygen content of water bodies sO ij , actual ammonia nitrogen concentration sN ij , actual mercury metal in soil sHg ij and actual cadmium metal content sCd ij The error is eliminated, ensuring that the final result is less affected by rainfall;

[0044] Time impact correction module, by analyzing the time of actual ammonia nitrogen concentration sN in water ij The influence of ammonia nitrogen volatilization over time on the concentration test results is eliminated;

[0045] Global pollution trend module, obtains the pollution emission index Wr of each region ij , calculate and obtain the global pollution status index Qy j , evaluate whether the pollution is getting worse or not, so as to understand the trend of global pollution;

[0046] Global pollution prediction module, obtains the pollution emission index Wr of each region ij , calculate and obtain the global pollution prediction function Fo j , judge the pollution status of the entire region, comprehensively evaluate the water and soil, and comprehensively monitor the pollution situation in the entire region.

[0047] (3) Beneficial effects

[0048] The present invention provides an environmental monitoring method and system based on dynamic programming, which has the following beneficial effects:

[0049] 1. Calculate the total volume of the water being tested (Vc) ij and the initial total area Sc ij , detect the initial oxygen content Oc of the sampled water ij And the initial ammonia nitrogen content Nc ij , obtain the unit area rainfall Yu in the monitoring area within 24 hours ih , sample rainwater and analyze the oxygen content of rainwater Oy ij and ammonia nitrogen content in rainwater Ny ij Calculate the actual oxygen content sO in the water before the rainfall ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij , calculate the water pollution index St ij It can reflect the actual pollution situation of the water body before rainfall, avoiding the misjudgment of inaccurate test results due to precipitation. At the same time, the comprehensive evaluation of oxygen content and ammonia nitrogen content makes the indicators with more serious conditions occupy a larger proportion in the final results to reflect the problem.

[0050] 2. Obtain the rainfall per unit area in the monitoring area within 24 hours ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij , measured to obtain the initial mercury metal cHg ij And the initial measurement of cadmium metal content cCd ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij It can reflect the actual pollution situation of the soil before rainfall, avoiding the misjudgment of inaccurate test results due to precipitation. At the same time, the comprehensive evaluation of mercury content and cadmium metal makes the indicators with more serious conditions account for a larger proportion in the final results to reflect the problem.

[0051] 3. According to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , investigate the most serious areas to find the pollution source, and calculate the global pollution index Qy j , evaluate whether the pollution is getting worse or not, and calculate the global pollution prediction function Fo j, judge the pollution status of the whole area, understand the pollution status of the whole area of environmental monitoring, and judge whether the pollution situation has improved or not, and make predictions on the pollution of the whole area. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flow chart of an environmental monitoring method based on dynamic programming according to the present invention;

[0053] Figure 2 The figure is a structural diagram of an environmental monitoring system based on dynamic programming according to the present invention. DETAILED DESCRIPTION

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] See also Figure 1 The present invention provides an environmental monitoring method based on dynamic programming, comprising the following steps:

[0056] Step 1: Calculate the total volume of the water being tested (Vc) ij and the total area of the initial survey Sc ij , detect the initial oxygen content Oc of the sampled water ij And the initial ammonia nitrogen content Nc ij , obtain the unit area rainfall Yu in the monitoring area within 24 hours ih , sample rainwater and analyze the oxygen content of rainwater Oy ij and ammonia nitrogen content in rainwater Ny ij Calculate the actual oxygen content sO in the water before the rainfall ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij , calculate the water pollution index St ij .

[0057] Step 101: Calculate the total volume of the water body under test (Vc) ij , detect the initial oxygen content Oc of the sampled water ij , obtain the rainfall situation in the monitoring area within 24 hours, sample the rainwater, and analyze the oxygen content of the rainwater Oy ij Calculate the actual oxygen content sO in the water before the rainfall ij :

[0058]

[0059] Wherein, i represents the number of each sample collection point, i=1, 2, ..., m, j represents the time sequence number of environmental monitoring, j=1, 2, ..., n, h represents the number of each hour in 24 hours, h=0, 1, ..., 24, m and n are positive integers.

[0060] Step 102: Detect the initial ammonia nitrogen content Nc in the sampled water. ij , analyze the ammonia nitrogen content Ny in rainwater ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij :

[0061]

[0062] Among them, N0 represents the initial ammonia nitrogen concentration in the test water, N t Indicates the ammonia nitrogen concentration in the test water after time t.

[0063] Step 103: Obtain the actual oxygen content sO of the water body before it is affected by rainfall. ij and actual ammonia nitrogen concentration sN ij , calculate the water pollution index:

[0064]

[0065] When St ij When St<1, it indicates that the quality of the sampled water is qualified; when St ij When ≥1, it indicates that the sampled water is polluted to a certain extent.

[0066] in, Indicates taking and The maximum value in O min The minimum oxygen content in a Class I water body is 7.5 mg / L, N max The maximum ammonia nitrogen content in Class I water bodies is 0.15 mg per liter.

[0067] When using, combine the contents in steps 101 to 103:

[0068] By measuring the total volume of the water body being tested, Vc ij and the initial total area Sc ij , detect the initial oxygen content Oc of the sampled water ij And the initial ammonia nitrogen content Nc ij , obtain the unit area rainfall Yu in the monitoring area within 24 hours ih, sample rainwater and analyze the oxygen content of rainwater Oy ij and ammonia nitrogen content in rainwater Ny ij Calculate the actual oxygen content sO in the water before the rainfall ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij , calculate the water pollution index St ij It can reflect the actual pollution situation of the water body before rainfall, avoiding the misjudgment of inaccurate test results due to precipitation. At the same time, the comprehensive evaluation of oxygen content and ammonia nitrogen content makes the indicators with more serious conditions occupy a larger proportion in the final results to reflect the problem.

[0069] Step 2: Obtain the rainfall per unit area in the monitoring area within 24 hours ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij , measured to obtain the initial mercury metal cHg ij And the initial measurement of cadmium metal content cCd ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij .

[0070] Step 201: Obtain the rainfall per unit area in the monitoring area within 24 hours. ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij :

[0071]

[0072] Step 202: Obtain the infiltration water volume P at the sample collection point within 24 hours. ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij :

[0073]

[0074] Among them, R Hg and R Cd are the leaching coefficients of mercury and cadmium, respectively, h i represents the soil thickness from which the sample was collected, ε i Indicates the soil density at the sample collection point.

[0075] Step 203: Obtain the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij :

[0076]

[0077] Among them, Hg max The mercury content in the construction land is up to 38 mg / kg, Cd max It means that the maximum cadmium content in construction land is 40 mg per kilogram.

[0078] When using, combine the contents in steps 201 to 203:

[0079] By obtaining the unit area rainfall Yu in the monitoring area within 24 hours ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij , measured to obtain the initial mercury metal cHg ij And the initial measurement of cadmium metal content cCd ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij It can reflect the actual pollution situation of the soil before rainfall, avoiding the misjudgment of inaccurate test results due to precipitation. At the same time, the comprehensive evaluation of mercury content and cadmium metal makes the indicators with more serious conditions account for a larger proportion in the final results to reflect the problem.

[0080] Step 3: According to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , investigate the most serious areas to find the pollution source, and calculate the global pollution index Qy j , evaluate whether the pollution is getting worse or not, and calculate the global pollution prediction function Fo j , to determine the pollution status of the entire area.

[0081] Step 301: According to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , for the most serious area Wr max Conduct investigations to find the source of pollution:

[0082]

[0083] Among them, Max(Wr ij ) means taking Wr ij The area with the largest value is the most polluted area and needs to be investigated to find the source of pollution.

[0084] Step 302: Obtain the pollution emission index Wr for each region ij , calculate and obtain the global pollution status index Qy j , evaluate whether the pollution is getting worse;

[0085]

[0086] in, represents the mean of the past 20 detection times j, Represents the pollution emission index Wr of all sample collection points ij The mean of .

[0087] When Qy j When Qy is less than 0, it indicates that the pollution situation in the whole area is improving or tending to be stable. j When it is greater than 0, it indicates that the pollution situation in the entire area is worsening.

[0088] Step 303: Obtain the pollution emission index Wr of each region ij , calculate and obtain the global pollution prediction function Fo j , judge the pollution status of the entire area:

[0089]

[0090] When Fo j+1 When it is less than 1, it indicates that the pollution condition of the whole area is good. j+1 When ≥1, it indicates that the pollution situation in the whole area is serious.

[0091] When using, combine the contents in steps 301 to 303:

[0092] According to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , investigate the most serious areas to find the pollution source, and calculate the global pollution index Qy j , evaluate whether the pollution is getting worse or not, and calculate the global pollution prediction function Fo j , judge the pollution status of the entire area, understand the pollution status of the entire environmental monitoring area, and judge whether the pollution situation has improved or not, and make predictions on the environmental pollution in the entire area.

[0093] See also Figure 2The present invention provides an environmental monitoring system based on dynamic programming, comprising:

[0094] Rainfall impact correction module, by analyzing the effect of rainfall on the actual oxygen content of water bodies sO ij , actual ammonia nitrogen concentration sN ij , actual mercury metal in soil sHg ij and actual cadmium metal content sCd ij The error is eliminated, ensuring that the final result is less affected by rainfall;

[0095] Time impact correction module, by analyzing the time of actual ammonia nitrogen concentration sN in water ij The influence of ammonia nitrogen volatilization over time on the concentration test results is eliminated;

[0096] Global pollution trend module, obtains the pollution emission index Wr of each region ij , calculate and obtain the global pollution status index Qy j , evaluate whether the pollution is getting worse or not, so as to understand the trend of global pollution;

[0097] Global pollution prediction module, obtains the pollution emission index Wr of each region ij , calculate and obtain the global pollution prediction function Fo j , judge the pollution status of the entire region, comprehensively evaluate the water and soil, and comprehensively monitor the pollution situation in the entire region.

[0098] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0099] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0100] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. An environmental monitoring method based on dynamic programming, characterized in that: The following steps are involved: Calculate the total volume of the water body being tested (Vc) ij and the initial total area Sc ij , detect the initial oxygen content Oc of the sampled water ij And the initial ammonia nitrogen content Nc ij , obtain the unit area rainfall Yu in the monitoring area within 24 hours ih , sample rainwater and analyze the oxygen content of rainwater Oy ij and ammonia nitrogen content in rainwater Ny ij Calculate the actual oxygen content sO in the water before the rainfall ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij , calculate the water pollution index St ij ; Get the unit area rainfall Yu within 24 hours in the monitoring area ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij , measured to obtain the initial mercury metal cHg ij And the initial measurement of cadmium metal content cCd ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij ; According to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , investigate the most serious areas to find the pollution source, and calculate the global pollution index Qy j , evaluate whether the pollution is getting worse or not, and calculate the global pollution prediction function Fo j , to determine the pollution status of the entire area.

2. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Calculate the total volume of the water body being tested (Vc) ij , detect the initial oxygen content Oc of the sampled water ij , obtain the rainfall situation in the monitoring area within 24 hours, sample the rainwater, and analyze the oxygen content of the rainwater Oy ij Calculate the actual oxygen content sO in the water before the rainfall ij : Wherein, i represents the number of each sample collection point, i=1, 2, ..., m, j represents the time sequence number of environmental monitoring, j=1, 2, ..., n, h represents the number of each hour in 24 hours, h=0, 1, ..., 24, m and n are positive integers.

3. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Detection of initial ammonia nitrogen content Nc in sampled water ij , analyze the ammonia nitrogen content Ny in rainwater ij , calculate the correction coefficient α of the ammonia nitrogen content in water affected by time t The actual ammonia nitrogen concentration sN before the rainfall is calculated based on the time t from sampling to detection ij : Among them, N0 represents the initial ammonia nitrogen concentration in the test water, N t Indicates the ammonia nitrogen concentration in the test water after time t.

4. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Get the actual oxygen content sO of the water body before it is affected by rainfall ij and actual ammonia nitrogen concentration sN ij , calculate the water pollution index: When St ij When St<1, it indicates that the quality of the sampled water is qualified; when St ij When ≥1, it indicates that the sampled water body is polluted to a certain extent; in, Indicates taking and The maximum value in O min The minimum oxygen content in a Class I water body is 7.5 mg / L, N max The maximum ammonia nitrogen content in Class I water bodies is 0.15 mg per liter.

5. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Get the unit area rainfall Yu within 24 hours in the monitoring area ih and soil runoff coefficient ω i Calculate the infiltration water volume P at the sample collection point within 24 hours ij : The infiltration water volume P at the collection point ij The calculation formula is as above.

6. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Obtain the infiltration water volume P at the sample collection point within 24 hours ij Calculate the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij : Among them, R Hg and R Cd are the leaching coefficients of mercury and cadmium, respectively, h i represents the soil thickness from which the sample was collected, ε i Indicates the soil density at the sample collection point.

7. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Get the actual mercury metal sHg before the impact of rainfall ij and actual cadmium metal content sCd ij , calculate the soil pollution index Tr ij : Among them, Hg max The mercury content in the construction land is up to 38 mg / kg, Cd max It means that the maximum cadmium content in construction land is 40 mg per kilogram.

8. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: According to the water pollution index St ij and soil pollution index Tr ij Calculate the pollution emission index Wr for each region ij , for the most serious area Wr max Conduct investigations to find the source of pollution: Among them, Max(Wr ij ) means taking Wr ij The area with the largest value is the most polluted area and needs to be investigated to find the source of pollution.

9. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Get the pollution emission index Wr of each region ij , calculate and obtain the global pollution status index Qy j , evaluate whether the pollution is getting worse; in, represents the mean of the past 20 detection times j, Represents the pollution emission index Wr of all sample collection points ij The mean of When Qy j When Qy is less than 0, it indicates that the pollution situation in the whole area is improving or tending to be stable. j When it is greater than 0, it indicates that the pollution situation in the entire area is worsening.

10. The environmental monitoring method based on dynamic programming according to claim 1, characterized in that: Get the pollution emission index Wr of each region ij , calculate and obtain the global pollution prediction function Fo j , judge the pollution status of the entire area: When Fo j+1 When it is less than 1, it indicates that the pollution condition of the whole area is good. j+1 When ≥1, it indicates that the pollution situation in the whole area is serious.

11. An environmental monitoring system based on dynamic programming, characterized in that: include: Rainfall impact correction module, by analyzing the effect of rainfall on the actual oxygen content of water bodies sO ij , actual ammonia nitrogen concentration sN ij , actual mercury metal in soil sHg ij and actual cadmium metal content sCd ij The error is eliminated, ensuring that the final result is less affected by rainfall; Time impact correction module, by analyzing the time of actual ammonia nitrogen concentration sN in water ij The influence of ammonia nitrogen volatilization over time on the concentration test results is eliminated; Global pollution trend module, obtains the pollution emission index Wr of each region ij , calculate and obtain the global pollution status index Qy j , evaluate whether the pollution is getting worse or not, so as to understand the trend of global pollution; Global pollution prediction module, obtains the pollution emission index Wr of each region ij , calculate and obtain the global pollution prediction function Fo j , judge the pollution status of the entire region, comprehensively evaluate the water and soil, and comprehensively monitor the pollution situation in the entire region.

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