Vegetation growth condition monitoring system and method based on nitrogen sedimentation

Abstract

The invention provides a vegetation growth condition monitoring system and method based on nitrogen sedimentation, and belongs to the field of vegetation growth monitoring. The problem that vegetation growth conditions are difficult to monitor is solved; the data acquisition module is used for acquiring nitrogen sedimentation information and vegetation growth information; the data processing module is used for processing the nitrogen settlement information to obtain an influence value of the nitrogen settlement amount on vegetation growth; processing the vegetation growth information to obtain vegetation growth parameters; the data analysis module is used for associating the influence value of the nitrogen settling volume on the vegetation growth with the vegetation growth parameters to obtain associated data, performing regression analysis on the associated data to obtain a vegetation growth model, and analyzing the vegetation growth state according to the model; the state evaluation module is used for evaluating the vegetation according to the analysis result of the vegetation growth state; by analyzing the vegetation growth condition data and judging the vegetation condition according to the analysis result, the monitoring difficulty of the vegetation growth condition is reduced.

Description

Technical Field

[0001] A vegetation growth status monitoring system and method based on nitrogen deposition according to the present invention relates to the field of vegetation growth monitoring. Background Art

[0002] The existing methods for monitoring the growth status of vegetation based on nitrogen deposition have the following deficiencies:

[0003] Incomplete consideration of nitrogen deposition forms: The nitrogen in atmospheric deposition includes inorganic nitrogen (IN) and organic nitrogen (ON), and these nitrogen sources may have different effects on the ecosystem; existing monitoring systems often only focus on a single form of inorganic nitrogen or organic nitrogen, ignoring the interaction and combined effects between them;

[0004] Limited selection of vegetation growth indicators: The growth status of vegetation involves multiple aspects, including growth height, coverage, biomass, and chlorophyll content; existing monitoring systems often only select some indicators for monitoring, making it difficult to comprehensively reflect the growth status of vegetation and its response to nitrogen deposition;

[0005] Insufficient analysis method: Existing monitoring systems often use simple statistical analysis methods to process and analyze data, making it difficult to deeply explore the deep laws and mechanisms behind the data; resulting in an insufficient and comprehensive understanding of the relationship between nitrogen deposition and vegetation growth. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a vegetation growth status monitoring system and method based on nitrogen deposition, aiming to solve the problem of complex state monitoring.

[0007] To achieve the above purpose, the present invention is realized through the following technical solutions: A vegetation growth status monitoring system and method based on nitrogen deposition includes:

[0008] A vegetation growth status monitoring system based on nitrogen deposition, including:

[0009] Data acquisition module: Obtain nitrogen deposition information, obtain the plant height, leaf area, chlorophyll content of plants, and the plant biomass of vegetation to form vegetation growth information;

[0010] Data processing module: Process the nitrogen deposition information: obtain the nitrogen deposition amount, and calculate the influence value of the nitrogen deposition amount on vegetation growth; process the vegetation growth information: obtain the correlation between the plant height, leaf area, chlorophyll content of plants, and the plant biomass of vegetation and the influence value to obtain the correlation value, and calculate based on the correlation value, combined with the plant height, leaf area, chlorophyll content of plants, and the plant biomass of vegetation, to obtain the vegetation growth parameters;

[0011] Data analysis module: Correlate the impact value of nitrogen deposition on vegetation growth with vegetation growth parameters to obtain correlation data, perform regression analysis on the correlation data to obtain a vegetation growth model, and analyze the vegetation growth status according to the model;

[0012] Status evaluation module: Evaluate the vegetation according to the analysis results of the vegetation growth status, perform artificial intervention on the vegetation growth, ensure the vegetation growth status, and improve the ecological efficiency of the vegetation.

[0013] Furthermore, process the nitrogen deposition information as follows:

[0014] According to the nitrogen deposition information, obtain the nitrogen deposition amount CJ; obtain the atmospheric nitrogen dry deposition amount CJg and the atmospheric nitrogen wet deposition amount CJs, where CJ = CJg + CJs; obtain the absorption rate Gx of the vegetation to the atmospheric nitrogen dry deposition amount and the absorption rate Sx to the atmospheric nitrogen wet deposition amount. Based on the atmospheric nitrogen dry deposition amount, the atmospheric nitrogen wet deposition amount, and the absorption rate of the vegetation, calculate the impact value of nitrogen deposition on vegetation growth to obtain the impact value YXZ;

[0015] The specific calculation process is as follows:

[0016] YXZ = CJg × Gx + CJs × Sx;

[0017] Obtain the impact values of nitrogen deposition on vegetation growth in n regions, and calculate the average value of the impact values to obtain the impact average value Jyz;

[0018]

[0019] YXZ j Refers to the impact value of the j-th region.

[0020] Furthermore, process the vegetation growth information as follows:

[0021] According to the vegetation growth information, obtain the plant height Hi, leaf area Si, chlorophyll content YHi of m plants in the region, and the plant biomass ZW of the vegetation in the region;

[0022] Calculate the average values of the plant height Hi, leaf area Si, and chlorophyll content YHi of m plants in the region to obtain the regional average plant height H, the regional average leaf area S, and the regional average chlorophyll content YH;

[0023] Calculate the average value of the plant height Hi of m plants in the region to obtain the regional average plant height H;

[0024]

[0025] Similarly, obtain the regional average leaf area S and the regional average chlorophyll content YH;

[0026] The mean values of the average plant height H, average leaf area S, average chlorophyll content YH, and plant biomass ZW of vegetation in n regions are calculated to obtain the mean plant height HP, mean leaf area SP, mean chlorophyll content YP, and mean plant biomass ZWP.

[0027] The mean value of the average plant height H in n regions is calculated to obtain the mean plant height HP.

[0028]

[0029] Where: H j refers to the average plant height of the j-th region.

[0030] Similarly, the mean leaf area SP, mean chlorophyll content YP, and mean plant biomass ZWP are obtained.

[0031] Furthermore, the vegetation growth information is further processed as follows:

[0032] Based on the mean plant height HP, the average plant height H in n regions is classified. Regions with H > HP are regarded as promotion regions. According to the nitrogen deposition information, the nitrogen deposition amount CJ of the region is obtained. Based on the nitrogen deposition amounts of the promotion regions, the mean value of the nitrogen deposition amounts of the promotion regions is calculated to obtain the nitrogen deposition amount division value hf.

[0033] Based on the nitrogen deposition amount division value hf, the regions are divided. The nitrogen deposition amount CJ of the region is obtained, and the nitrogen deposition amount CJ of the region is judged according to the nitrogen deposition amount division value hf:

[0034] CJ < hf, this region is a low nitrogen deposition amount region;

[0035] CJ ≥ hf, this region is a high nitrogen deposition amount region;

[0036] All low nitrogen deposition amount regions and high nitrogen deposition amount regions are counted, and the number of low nitrogen deposition amount regions is t, and the number of high nitrogen deposition amount regions is n - t.

[0037] Based on the average plant height H, average leaf area S, average chlorophyll content YH, plant biomass ZW of vegetation in the region, and the mean plant height HP, mean leaf area SP, mean chlorophyll content YP, and mean plant biomass ZWP, combined with the influence value and mean influence value, the correlation values between the plant height, leaf area, chlorophyll content, plant biomass of vegetation, and the influence value are obtained.

[0038] Furthermore, the correlation values are calculated as follows:

[0039] According to the number t of low nitrogen deposition amount regions and the number n - t of high nitrogen deposition amount regions, combined with the regional average plant height H, plant height mean HP, influence value YXZ, and influence mean Jyz of each region, calculate the correlation between the plant height and the influence value to obtain the correlation value XG1;

[0040] The specific calculation process is as follows:

[0041]

[0042] Among them: H j refers to the regional average plant height of the j-th region, and YXZ j refers to the influence value of nitrogen deposition in the j-th region on vegetation growth;

[0043] Similarly, obtain the correlation value XG2 between the leaf area and the influence value, the correlation value XG3 between the chlorophyll content and the influence value, and the correlation value XG4 between the plant biomass and the influence value.

[0044] Furthermore, calculate the vegetation growth parameters in combination with the correlation values, specifically as follows:

[0045] According to the plant height Hi, leaf area Si, chlorophyll content YHi of the plant, the plant biomass ZW of the vegetation, and the plant height mean HP, leaf area mean SP, chlorophyll content mean YP, and plant biomass mean ZWP of the vegetation, calculate in combination with the correlation values to obtain the vegetation growth parameter cs;

[0046] The specific calculation process is as follows:

[0047]

[0048] XG1 is the correlation value between the plant height and the influence value, XG2 is the correlation value between the leaf area and the influence value, XG3 is the correlation value between the chlorophyll content and the influence value, and XG4 is the correlation value between the plant biomass and the influence value.

[0049] Furthermore, construct a vegetation growth model, specifically as follows:

[0050] Obtain the vegetation growth parameters and the influence value of nitrogen deposition in the area where the vegetation is located on vegetation growth, correlate the vegetation growth parameters and the influence value of nitrogen deposition in the area where the vegetation is located on vegetation growth, and obtain the data set Z of the growth parameters and the influence value, Z = (cs, YXZ);

[0051] Perform regression analysis on the data set Z through scikit - learn to obtain the regression coefficients β0, β1, β2;

[0052] Construct a vegetation growth model according to the regression coefficients:

[0053] cs = β0 + β1×YXZ + β2×YXZ 2 。

[0054] Furthermore, the growth state of the vegetation is analyzed as follows:

[0055] Obtain the influence value of nitrogen deposition in the area where the vegetation is located on vegetation growth. Calculate the vegetation growth parameters through the vegetation growth model and the influence value to obtain the standard growth parameter BCS under this influence value, and obtain the growth parameter cs of the current vegetation;

[0056] Compare the standard growth parameter BCS with the growth parameter cs of the current vegetation:

[0057] When cs ≥ BCS, the growth state of the current vegetation is good;

[0058] When cs < BCS, in the same nitrogen deposition environment, the growth state of the current vegetation is worse than the expected state, and it is necessary to improve the soil environment, light, and temperature where the vegetation is located;

[0059] Conduct a horizontal analysis of the vegetation growth model, judge the influence value of nitrogen deposition on vegetation growth, and obtain the optimal influence value;

[0060] Derive the vegetation growth model to obtain the model derivative function:

[0061] cs, = 2×β2×(YXZ + 1);

[0062] According to the model derivative function, obtain the influence value YX0 corresponding to the function zero point, and substitute YX0 into the vegetation growth model for verification:

[0063] If cs(YX0) ≥ cs(YX0 + 1) and cs(YX0) ≥ cs(YX0 - 1), then YX0 is the optimal influence value;

[0064] If cs(YX0) < cs(YX0 + 1) or cs(YX0) < cs(YX0 - 1), recalculate the optimal influence value;

[0065] Obtain the influence value XYZ of the vegetation, and combine it with the optimal influence value YX0 to improve the nitrogen deposition of the vegetation:

[0066] When XYZ > YX0, reduce the nitrogen deposition amount, reduce the use of chemical fertilizers, plant plants with nitrogen absorption ability, and improve the nitrogen absorption ability of the vegetation;

[0067] When XYZ < YX0, conduct soil management and increase the use amount of chemical fertilizers.

[0068] Furthermore, evaluate and improve the growth state of the vegetation as follows:

[0069] Based on the comparison and analysis of the growth parameters of vegetation under the same impact value and those under different impact values, longitudinal and transverse analysis results are obtained; longitudinal analysis observes the parameter changes of the same vegetation at different time nodes or growth cycles, revealing the continuity and trend of vegetation growth; while transverse analysis compares the growth parameters of different species or vegetation under different environments, which helps to identify the key factors and differences affecting vegetation growth;

[0070] According to the analysis results, evaluate the current growth state of the vegetation; based on the plant height, leaf area, chlorophyll content, and plant biomass of the plants, clarify the problems in the growth process of the vegetation, and take a series of targeted improvement measures to optimize the growth environment of the vegetation;

[0071] Improve the soil environment of the vegetation, including adjusting the soil pH, increasing the organic matter content, and optimizing the soil structure, to provide a good substrate for the healthy development of the vegetation roots;

[0072] Reasonably regulate the light and temperature conditions to ensure that the vegetation can obtain sufficient and suitable conditions for photosynthesis and respiration, promoting vegetation growth;

[0073] Implement a scientific management strategy for fertilizer use, select appropriate fertilizer types, determine reasonable fertilization amounts and fertilization times, and adopt advanced fertilization techniques to ensure that fertilizers can be efficiently absorbed and utilized by the vegetation, while reducing the risk of environmental pollution;

[0074] Control the nitrogen absorption capacity of the vegetation. By adjusting the nitrogen fertilizer application rate, optimizing the irrigation system, introducing nitrogen-fixing plants or microorganisms, regulate the nitrogen nutrition status of the vegetation, and avoid growth inhibition or environmental pollution problems caused by nitrogen excess.

[0075] A method for monitoring the growth status of vegetation based on nitrogen deposition, including:

[0076] Step S1: Obtain nitrogen deposition information, and obtain the plant height, leaf area, chlorophyll content, and plant biomass of the plants to form vegetation growth information;

[0077] Step S2: Process the nitrogen deposition information: Obtain the nitrogen deposition amount, and calculate the impact value of the nitrogen deposition amount on vegetation growth; Process the vegetation growth information: Calculate the correlation between the plant height, leaf area, chlorophyll content, and plant biomass of the plants and the impact value to obtain the correlation value, and calculate based on the correlation value in combination with the plant height, leaf area, chlorophyll content, and plant biomass of the plants to obtain the vegetation growth parameters;

[0078] Step S3: Associate the impact value of nitrogen deposition on vegetation growth with vegetation growth parameters to obtain associated data, perform regression analysis on the associated data to obtain a vegetation growth model, and analyze the vegetation growth status according to the model;

[0079] Step S4: Evaluate the vegetation according to the analysis results of the vegetation growth status, perform artificial intervention on the vegetation growth to ensure the vegetation growth status and improve the ecological efficiency of the vegetation.

[0080] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0081] Comprehensive nitrogen deposition form: The present invention separately obtains atmospheric nitrogen dry deposition and atmospheric nitrogen wet deposition, calculates through the absorption rates of different nitrogen depositions by plants, and obtains their combined effects;

[0082] Multi-faceted analysis of vegetation growth: The present invention studies vegetation growth through multi-faceted data, including growth height, leaf area, chlorophyll content, and plant biomass; integrates the data to obtain growth parameters, and conducts in-depth analysis based on the growth parameters;

[0083] Enhanced analysis method: The present invention constructs a vegetation growth model by using growth parameters composed of multi-faceted data and the atmospheric nitrogen deposition amount, and analyzes nitrogen deposition and vegetation growth parameters respectively according to the vegetation growth model. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] By reading the following detailed description of the non-limiting embodiments with reference to the accompanying drawings, other features, objects, and advantages of the present invention will become more apparent:

[0085] Figure 1 It is a schematic diagram of the system of the present invention;

[0086] Figure 2 It is a schematic diagram of the regression analysis of the present invention;

[0087] Figure 3 It is a schematic diagram of the derivative function of the growth model of the present invention;

[0088] Figure 4 It is a schematic diagram of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0089] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0090] Embodiment 1

[0091] Please refer to Figure 1,A vegetation growth status monitoring system based on nitrogen deposition includes: a data acquisition module, a data processing module, a data analysis module, a status evaluation module, and a database;

[0092] Data acquisition module: obtain nitrogen deposition information, plant height, leaf area, chlorophyll content, and vegetation volume of plants to form vegetation growth information;

[0093] The distance from the highest point of the plant to the soil is measured using measuring tools to obtain the plant height. The leaves are recorded using photographic equipment, and the leaf area is extracted using image processing software. The chlorophyll content is calculated by measuring the intensity of reflected or transmitted light at a specific wavelength using a chlorophyll content meter. Remote sensing images and multispectral images are used in combination with ground verification data and model inversion methods to calculate the plant mass of vegetation.

[0094] It should be noted that plant mass refers to the total amount of organic matter (dry weight, including the weight of food stored in organisms) actually living per unit area at a certain moment.

[0095] Data processing module: Processing nitrogen deposition information: obtaining nitrogen deposition amount, calculating the impact value of nitrogen deposition on vegetation growth; processing vegetation growth information: obtaining the correlation between plant height, leaf area, chlorophyll content, vegetation mass and the impact value, obtaining the correlation value, and calculating according to the correlation value in combination with plant height, leaf area, chlorophyll content, and vegetation mass to obtain vegetation growth parameters;

[0096] According to the nitrogen deposition information, the nitrogen deposition amount CJ is obtained; the atmospheric nitrogen dry deposition amount CJg and the atmospheric nitrogen wet deposition amount CJs are obtained, where CJ=CJg+CJs; the vegetation absorption rate Gx and Sx of atmospheric nitrogen dry deposition are obtained, and the impact value of nitrogen deposition on vegetation growth is obtained according to the atmospheric nitrogen dry deposition amount, atmospheric nitrogen wet deposition amount and the absorption rate of vegetation, and the impact value YXZ is obtained;

[0097] The specific calculation process is as follows:

[0098] YXZ=CJg×Gx+CJs×Sx;

[0099] It should be noted that dry deposition of atmospheric nitrogen refers to the process in which nitrogen elements in the atmosphere (in the form of NHx, NH3, RNH2 and NH4+, as well as NOx) fall to land and water bodies through dust fall; wet deposition of atmospheric nitrogen refers to the process in which nitrogen compounds in the atmosphere dissolve in water through rainfall and then fall to the ground.

[0100] Obtain the impact values ​​of nitrogen deposition on vegetation growth in n regions, calculate the mean of the impact values, and obtain the impact mean Jyz;

[0101]

[0102] Among them: YXZ j refers to the influence value of the j-th area;

[0103] According to the vegetation growth information, obtain the plant height Hi, leaf area Si, chlorophyll content YHi of m plants in the area, and the plant biomass ZW of the vegetation in the area;

[0104] Calculate the average values of the plant height Hi, leaf area Si, and chlorophyll content YHi of m plants in the area to obtain the regional average plant height H, regional average leaf area S, and regional average chlorophyll content YH;

[0105] Specifically as follows:

[0106] Calculate the average value of the plant height Hi of m plants in the area to obtain the regional average plant height H;

[0107]

[0108] Calculate the average value of the leaf area Si of m plants in the area to obtain the regional average leaf area S;

[0109]

[0110] Calculate the average value of the chlorophyll content YHi of m plants in the area to obtain the regional average chlorophyll content YH;

[0111]

[0112] Calculate the average values of the regional average plant height H, regional average leaf area S, regional average chlorophyll content YH, and plant biomass ZW of n areas to obtain the average plant height HP, average leaf area SP, average chlorophyll content YP, and average plant biomass ZWP;

[0113] Specifically as follows:

[0114] Calculate the average value of the regional average plant height H of n areas to obtain the average plant height HP;

[0115]

[0116] Among them: H j refers to the regional average plant height of the j-th area;

[0117] Calculate the average value of the regional average leaf area S of n areas to obtain the average leaf area SP;

[0118]

[0119] Where: S j represents the average leaf area of the j-th area;

[0120] The mean value of the average chlorophyll content YH of n areas is obtained to get the mean chlorophyll content YP;

[0121]

[0122] Where: YH j represents the average average chlorophyll content of the j-th area;

[0123] The mean value of the plant biomass ZW of the vegetation in n areas is obtained to get the mean plant biomass ZWP;

[0124]

[0125] Where: ZW j represents the plant biomass of the vegetation in the j-th area.

[0126] According to the mean plant height HP, the average plant height H of n areas is classified. The areas where H > HP are taken as promotion areas. According to the nitrogen deposition information, the nitrogen deposition amount of the promotion areas is obtained, and the mean value of the nitrogen deposition amount of the promotion areas is obtained to get the nitrogen deposition amount division value hf;

[0127] According to the nitrogen deposition amount division value hf, the areas are divided to obtain the nitrogen deposition amount CJ of the areas. The nitrogen deposition amount CJ of the areas is judged according to the nitrogen deposition amount division value hf:

[0128] CJ < hf, this area is a low nitrogen deposition amount area;

[0129] CJ ≥ hf, this area is a high nitrogen deposition amount area;

[0130] All low nitrogen deposition amount areas and high nitrogen deposition amount areas are counted. The number of low nitrogen deposition amount areas is t, and the number of high nitrogen deposition amount areas is n - t;

[0131] According to the average plant height H of the area, the average leaf area S, the average chlorophyll content YH, the plant biomass ZW of the vegetation in the area, and the mean plant height HP, the mean leaf area SP, the mean chlorophyll content YP, the mean plant biomass ZWP, combined with the influence value and the mean influence value, the correlation value between the plant height, leaf area, chlorophyll content, plant biomass of the vegetation and the influence value is obtained;

[0132] Specifically as follows:

[0133] According to the number t of low nitrogen deposition amount regions and the number n - t of high nitrogen deposition amount regions, combined with the regional average plant height H, plant height mean value HP, influence value YXZ, and influence mean value Jyz of each region, calculate the correlation between the plant height and the influence value to obtain the correlation value XG1;

[0134] The specific calculation process is as follows:

[0135]

[0136] Among them: H j refers to the regional average plant height of the j-th region, YXZ j refers to the influence value of nitrogen deposition on vegetation growth in the j-th region.

[0137] According to the number t of low nitrogen deposition amount regions and the number n - t of high nitrogen deposition amount regions, combined with the regional average leaf area S, leaf area mean value SP, influence value YXZ, and influence mean value Jyz of each region, calculate the correlation between the leaf area and the influence value to obtain the correlation value XG2;

[0138] The specific calculation process is as follows:

[0139]

[0140] Among them: S j refers to the regional average leaf area of the j-th region, YXZ j refers to the influence value of nitrogen deposition on vegetation growth in the j-th region.

[0141] According to the number t of low nitrogen deposition amount regions and the number n - t of high nitrogen deposition amount regions, combined with the regional average chlorophyll content YH, chlorophyll content mean value YP, influence value YXZ, and influence mean value Jyz of each region, calculate the correlation between the chlorophyll content and the influence value to obtain the correlation value XG3;

[0142] The specific calculation process is as follows:

[0143]

[0144] Among them: YH j refers to the regional average chlorophyll content of the j-th region, YXZ j refers to the influence value of nitrogen deposition on vegetation growth in the j-th region.

[0145] According to the number t of low nitrogen deposition amount regions and the number n - t of high nitrogen deposition amount regions, combined with the plant biomass ZW, plant biomass mean value ZWP, influence value YXZ, and influence mean value Jyz of the vegetation in each region, calculate the correlation between the plant biomass and the influence value to obtain the correlation value XG4;

[0146] The specific calculation process is as follows:

[0147]

[0148] Among them: ZW j refers to the plant biomass of vegetation in the j-th area, and YXZ j refers to the influence value of nitrogen deposition in the j-th area on vegetation growth.

[0149] Based on the plant height Hi, leaf area Si, chlorophyll content YHi of the plant, the plant biomass ZW of the vegetation, and the average plant height HP, average leaf area SP, average chlorophyll content YP, and average plant biomass ZWP, calculations are performed in combination with relevant values to obtain the vegetation growth parameter cs;

[0150] The specific calculation process is as follows:

[0151]

[0152] It should be noted that: according to the ratio of the single-plant parameters to the average value, the growth status of the plant is obtained. If the ratio is greater than 1, it means that the plant shows good growth in this aspect. In combination with the power of relevant values, the parameters with high correlation are increased.

[0153] Data analysis module: Associate the influence value of nitrogen deposition on vegetation growth with the vegetation growth parameter to obtain an associated data set, perform regression analysis on the associated data set to obtain a vegetation growth model, and analyze the vegetation growth status according to the model;

[0154] Obtain the vegetation growth parameter and the influence value of nitrogen deposition in the area where the vegetation is located on vegetation growth, associate the vegetation growth parameter and the influence value of nitrogen deposition in the area where the vegetation is located on vegetation growth to obtain a data set Z of growth parameters and influence values, Z = (cs, YXZ);

[0155] Please refer to Figure 2 , perform regression analysis on the data set Z through scikit-learn to obtain regression coefficients β0, β1, β2;

[0156] It should be noted that: scikit-learn is a free software machine learning library for the Python programming language. Scikit-learn provides various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, K-means, and DBSCAN.

[0157] Construct a vegetation growth model based on the regression coefficients:

[0158] cs = β0 + β1 × YXZ + β2 × YXZ 2 ;

[0159] Analyze the growth status of vegetation according to the vegetation growth model, obtain the influence value of nitrogen deposition in the area where the vegetation is located on vegetation growth, calculate the vegetation growth parameters through the vegetation growth model and the influence value, and obtain the standard growth parameter BCS under this influence value, and obtain the growth parameter cs of the current vegetation;

[0160] Compare the standard growth parameter BCS with the growth parameter cs of the current vegetation:

[0161] When cs≥BCS, the current vegetation growth status is good;

[0162] When cs<BCS, under the same nitrogen deposition environment, the growth status of the current vegetation is worse than the expected status, and it is necessary to improve the soil environment, light, and temperature where the vegetation is located.

[0163] Conduct a horizontal analysis of the vegetation growth model, judge the influence value of nitrogen deposition on vegetation growth, and obtain the optimal influence value;

[0164] Please refer to Figure 3 , take the derivative of the vegetation growth model to obtain the model derivative function:

[0165] Specifically as follows:

[0166] cs,=2×β2×(YXZ + 1);

[0167] Obtain the influence value YX0 corresponding to the function zero point according to the model derivative function, and substitute YX0 into the vegetation growth model for verification:

[0168] If cs(YX0)≥cs(YX0 + 1) and cs(YX0)≥cs(YX0 - 1), then YX0 is the optimal influence value;

[0169] If cs(YX0)<cs(YX0 + 1) or cs(YX0)<cs(YX0 - 1), recalculate the optimal influence value;

[0170] It should be noted that: cs(YX0) refers to the vegetation growth parameter cs obtained by the vegetation growth model when the influence value is YX0.

[0171] Obtain the influence value XYZ of the vegetation, and combine it with the optimal influence value YX0 to improve the nitrogen deposition of the vegetation:

[0172] When XYZ>YX0, reduce the nitrogen deposition amount, reduce the use of chemical fertilizers, plant plants with nitrogen absorption ability, and improve the nitrogen absorption ability of the vegetation;

[0173] When XYZ<YX0, conduct soil management and increase the use amount of chemical fertilizers;

[0174] Vegetation assessment module: Assess the vegetation based on the analysis results of the vegetation growth status, conduct artificial intervention on the vegetation growth, ensure the vegetation growth status, and enhance the ecological efficiency of the vegetation;

[0175] Based on the comparison and analysis of the growth parameters of vegetation under the same impact value and the growth parameters of vegetation under different impact values, obtain longitudinal and transverse analysis results; Longitudinal analysis observes the parameter changes of the same vegetation at different time nodes or growth cycles, revealing the continuity and trend of vegetation growth; While transverse analysis compares the growth parameters of different species or vegetation in different environments, which helps to identify the key factors and differences affecting vegetation growth;

[0176] According to the analysis results, evaluate the current growth status of the vegetation; Based on the plant height, leaf area, chlorophyll content, and plant biomass of the plants, clarify the problems in the growth process of the vegetation, and take a series of targeted improvement measures to optimize the growth environment of the vegetation;

[0177] Improve the soil environment of the vegetation, including adjusting the soil pH, increasing the organic matter content, and optimizing the soil structure, to provide a good substrate for the healthy development of the vegetation roots;

[0178] Reasonably regulate the light and temperature conditions to ensure that the vegetation can obtain sufficient and suitable conditions for photosynthesis and respiration, and promote the growth of the vegetation;

[0179] Implement a scientific fertilizer use management strategy, select appropriate fertilizer types, determine reasonable fertilizer application rates and application times, and adopt advanced fertilization techniques to ensure that the fertilizers can be efficiently absorbed and utilized by the vegetation, while reducing the risk of environmental pollution;

[0180] Control the nitrogen absorption capacity of the vegetation, and regulate the nitrogen nutrition status of the vegetation by adjusting the nitrogen fertilizer application rate, optimizing the irrigation system, introducing nitrogen-fixing plants or microorganisms, to avoid growth inhibition or environmental pollution problems caused by nitrogen excess.

[0181] Example Two

[0182] Please refer to Figure 4 , A method for monitoring the growth status of vegetation based on nitrogen deposition includes:

[0183] Step S1: Obtain nitrogen deposition information, obtain the plant height, leaf area, chlorophyll content, and plant biomass of the plants, and form vegetation growth information;

[0184] Step S2: Process the nitrogen deposition information: Obtain the nitrogen deposition amount and calculate the influence value of the nitrogen deposition amount on vegetation growth; Process the vegetation growth information: Obtain the correlation between the plant height, leaf area, chlorophyll content, and plant biomass of the vegetation and the influence value to get the correlation value. Calculate based on the correlation value, combined with the plant height, leaf area, chlorophyll content, and plant biomass of the vegetation to obtain the vegetation growth parameters;

[0185] Step S3: Associate the influence value of the nitrogen deposition amount on vegetation growth with the vegetation growth parameters to obtain associated data. Conduct a regression analysis on the associated data to obtain a vegetation growth model, and analyze the vegetation growth status based on the model;

[0186] Step S4: Evaluate the vegetation according to the analysis result of the vegetation growth status, perform artificial intervention on the vegetation growth to ensure the vegetation growth status and improve the ecological efficiency of the vegetation.

[0187] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. If there are weight coefficients and proportionality coefficients, the sizes of their settings are for quantifying each parameter to obtain a specific numerical value for subsequent comparison. Regarding the sizes of the weight coefficients and proportionality coefficients, as long as they do not affect the proportional relationship between the parameters and the quantified numerical values, it is fine.

[0188] Finally, it should be noted that: The above embodiments are only specific implementation manners of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: Any person skilled in the technical field can still modify the technical solutions recorded in the foregoing embodiments, or can easily think of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A vegetation growth monitoring system based on nitrogen deposition, characterized in that: The monitoring system includes: Data acquisition module: obtain nitrogen deposition information, plant height, leaf area, chlorophyll content, and vegetation volume of plants to form vegetation growth information; Data processing module: Processing nitrogen deposition information: obtaining nitrogen deposition amount and calculating the impact of nitrogen deposition on vegetation growth; Processing vegetation growth information: obtaining the correlation between plant height, leaf area, chlorophyll content, vegetation mass and impact value, obtaining correlation value, combining plant height, leaf area, chlorophyll content, vegetation mass to calculate and obtain vegetation growth parameters; Data analysis module: associate the impact value of nitrogen deposition on vegetation growth and vegetation growth parameters to obtain associated data, perform regression analysis on the associated data, obtain the vegetation growth model, and analyze the vegetation growth status; Status assessment module: Evaluate vegetation based on the analysis results of vegetation growth status and perform artificial intervention on vegetation growth.

2. A vegetation growth condition monitoring system based on nitrogen deposition according to claim 1, characterized in that: The nitrogen deposition information is processed as follows: According to the nitrogen deposition information, the nitrogen deposition amount CJ is obtained: the atmospheric nitrogen dry deposition amount CJg is obtained, and the atmospheric nitrogen wet deposition amount CJs is obtained, CJ=CJg+CJs; the vegetation absorption rate Gx of atmospheric nitrogen dry deposition and the absorption rate Sx of atmospheric nitrogen wet deposition are obtained, and the impact value of nitrogen deposition on vegetation growth is obtained according to the atmospheric nitrogen dry deposition amount, atmospheric nitrogen wet deposition amount and the absorption rate of vegetation, and the impact value YXZ is obtained; The specific calculation process is as follows: YXZ=CJg×Gx+CJs×Sx; Obtain the impact values ​​of nitrogen deposition on vegetation growth in n regions, calculate the mean of the impact values, and obtain the impact mean Jyz; YXZ j Refers to the influence value of the jth region.

3. A vegetation growth condition monitoring system based on nitrogen deposition according to claim 1, characterized in that: The vegetation growth information is processed as follows: According to the vegetation growth information, the plant height Hi, leaf area Si, chlorophyll content YHi and plant weight ZW of the m plants in the area are obtained; The average values ​​of plant height Hi, leaf area Si, and chlorophyll content YHi of m plants in the region are obtained to obtain the regional average plant height H, regional average leaf area S, and regional average chlorophyll content YH; The average plant height Hi of m plants in the region is calculated to obtain the average plant height H of the region; Similarly, we get the regional average leaf area S and regional average chlorophyll content YH; The average values ​​of the regional average plant height H, the regional average leaf area S, the regional average chlorophyll content YH, and the vegetation mass ZW of the vegetation in the region are calculated to obtain the average plant height HP, the average leaf area SP, the average chlorophyll content YP, and the average vegetation mass ZWP; The average of the regional average plant heights H of n regions is calculated to obtain the plant height mean HP; Where: H j refers to the regional average plant height of the jth region; Similarly, the mean leaf area SP, the mean chlorophyll content YP, and the mean plant mass ZWP were obtained.

4. A vegetation growth condition monitoring system based on nitrogen deposition according to claim 3, characterized in that: The vegetation growth information is further processed as follows: According to the plant height mean HP, the regional average plant height H of n regions is classified, and the region with H>HP is regarded as the promotion region. According to the nitrogen deposition information, the nitrogen deposition amount CJ of the region is obtained. According to the nitrogen deposition amount of the promotion region, the mean value of the nitrogen deposition amount of the promotion region is obtained to obtain the nitrogen deposition amount division value hf; The area is divided according to the nitrogen deposition amount division value hf, the nitrogen deposition amount CJ of the area is obtained, and the nitrogen deposition amount CJ of the area is judged according to the nitrogen deposition amount division value hf: CJ<hf, the area is a low nitrogen deposition area; CJ≥hf, the area is a high nitrogen deposition area; Count all low nitrogen deposition areas and high nitrogen deposition areas, and get the number of low nitrogen deposition areas as t and the number of high nitrogen deposition areas as nt; According to the regional average plant height H, regional average leaf area S, regional average chlorophyll content YH, vegetation mass ZW in the region and the plant height mean HP, leaf area mean SP, chlorophyll content mean YP, and plant mass mean ZWP, combined with the influence value and influence mean, the correlation values ​​between plant height, leaf area, chlorophyll content, vegetation mass and the influence value are obtained.

5. A vegetation growth condition monitoring system based on nitrogen deposition according to claim 4, characterized in that: The relevant values ​​are obtained as follows: According to the number of low nitrogen deposition areas t, the number of high nitrogen deposition areas nt, combined with the regional average plant height H, plant height mean HP, influence value YXZ, and influence mean Jyz of each area, the correlation between plant height and influence value is calculated to obtain the correlation value XG1; The specific calculation process is as follows: Where: H j Refers to the average plant height of the jth region, YXZ j Refers to the impact of nitrogen deposition on vegetation growth in the jth region; Similarly, the correlation value XG2 between the leaf area and the impact value, the correlation value XG3 between the chlorophyll content and the impact value, and the correlation value XG4 between the plant mass and the impact value are obtained, and the vegetation growth parameters are obtained by combining the correlation values.

6. A vegetation growth monitoring system based on nitrogen deposition according to claim 5, characterized in that: The vegetation growth parameters are obtained by combining the relevant values, as follows: According to the plant height Hi, leaf area Si, chlorophyll content YHi, vegetation mass ZW and plant height mean HP, leaf area mean SP, chlorophyll content mean YP, vegetation mass mean ZWP, combined with relevant values, the vegetation growth parameter cs is obtained; The specific calculation process is as follows: A vegetation growth model is constructed based on the obtained growth parameters, nitrogen deposition, and the impact values ​​of vegetation growth.

7. A vegetation growth monitoring system based on nitrogen deposition according to claim 6, characterized in that: Construct a vegetation growth model as follows: Obtain the influence values ​​of vegetation growth parameters and nitrogen deposition in the area where the vegetation is located on vegetation growth, associate the influence values ​​of vegetation growth parameters and nitrogen deposition in the area where the vegetation is located on vegetation growth, and obtain a data set Z of growth parameters and influence values, Z=(cs,YXZ); Perform regression analysis on the data set Z through scikit-learn to obtain regression coefficients β0, β1, and β2; Construct a vegetation growth model based on the regression coefficients: cs=β0+β1×YXZ+β2×YXZ 2 According to the vegetation growth model, the growth status of vegetation is analyzed.

8. A vegetation growth monitoring system based on nitrogen deposition according to claim 7, characterized in that: The growth status of vegetation is analyzed as follows: Obtain the impact value of nitrogen deposition on vegetation growth in the area where the vegetation is located, calculate the vegetation growth parameters through the vegetation growth model and the impact value, obtain the standard growth parameter BCS under the impact value, and obtain the growth parameter cs of the current vegetation; Compare the standard growth parameter BCS with the growth parameter cs of the current vegetation: When cs ≥ BCS, the current vegetation growth state is good; When cs<BCS, under the same nitrogen deposition environment, the current vegetation growth state is worse than the expected state; Conduct a horizontal analysis of the vegetation growth model, determine the impact of nitrogen deposition on vegetation growth, and obtain the optimal impact value; The vegetation growth model is derived to obtain the model derivative function: cs,=2×β2×(YXZ+1); The influence value YX0 corresponding to the zero point of the function is obtained according to the derivative function of the model, and YX0 is substituted into the vegetation growth model for verification: cs(YX0)≥cs(YX0+1) and cs(YX0)≥cs(YX0-1), then YX0 is the best influence value; cs(YX0)<cs(YX0+1) or cs(YX0)<cs(YX0-1), the optimal influence value is recalculated; Get the impact value XYZ of vegetation, and combine it with the optimal impact value YX0 to improve the nitrogen deposition of vegetation: When XYZ>YX0, reduce nitrogen deposition, reduce the use of chemical fertilizers, plant plants with nitrogen absorption capacity, and improve the nitrogen absorption capacity of vegetation; When XYZ<YX0, carry out soil management and increase the use of fertilizers.

9. A vegetation growth condition monitoring method based on nitrogen deposition, applicable to a vegetation growth condition monitoring system based on nitrogen deposition according to any one of claims 1 to 8, characterized in that: The monitoring method comprises: Step S1: obtaining nitrogen deposition information, obtaining plant height, leaf area, chlorophyll content, and plant mass of vegetation to form vegetation growth information; Step S2: Processing nitrogen deposition information: obtaining nitrogen deposition amount, and calculating the impact value of nitrogen deposition amount on vegetation growth; processing vegetation growth information: obtaining the correlation between plant height, leaf area, chlorophyll content, vegetation mass and the impact value, and obtaining the correlation value; according to the correlation value, combining the plant height, leaf area, chlorophyll content, and vegetation mass of the plant, calculating to obtain vegetation growth parameters; Step S3: Correlating the impact value of nitrogen deposition on vegetation growth with vegetation growth parameters to obtain correlation data, performing regression analysis on the correlation data to obtain a vegetation growth model, and analyzing the vegetation growth status according to the model; Step S4: Evaluate the vegetation according to the analysis results of the vegetation growth status and perform artificial intervention on the vegetation growth.

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